Tobiloba Kollawole Adenekan

• Bachelor of Engineering
• Obafemi Awolowo University

Transformer-based architectures have revolutionized computer vision tasks, including human keypoint detection, by leveraging global self-attention to model spatial relationships. However, these models often underperform when deployed across domains that differ significantly from their training distribution. Traditional domain adaptation techniques...

Pattern matching is a foundational operation in computer science, critical to areas such as text processing, data validation, search algorithms, and natural language processing. In Java applications, the ability to dynamically match patterns that include wildcards and Unicode characters has become increasingly vital due to the multilingual and unst...

Recent legislative initiatives by Michigan lawmakers to revise Medicaid eligibility and access protocols have sparked a critical debate about the balance between cost control and equitable healthcare provision. This paper examines the potential effects of these policy changes on vulnerable populations, including low-income individuals, racial minor...

The integration of AI-driven predictive analytics with cloud computing has transformed how businesses extract actionable customer insights from vast datasets. AI-powered predictive models analyze historical purchasing behaviors, real-time interactions, and external market trends to provide personalized recommendations, forecast customer demands, an...

Craniofacial syndromes, such as Goldenhar syndrome, hemifacial microsomia, and oculoauriculovertebral spectrum (OAVS), are congenital anomalies that often disrupt the development of speech and language in affected children (Jayaprakasan et al., 2023; Cohen et al., 1995). These syndromes typically involve malformations of the ears, mandible, and sof...

AI-powered data transformation plays a critical role in enabling scalable, efficient, and real-time AI model training. However, organizations face several challenges in managing data ingestion, processing, and transformation across multi-cloud and hybrid cloud environments Inefficiencies in data pipelines can lead to slow AI model training, poor da...

Goldenhar Syndrome (GS), a rare congenital condition classified within the oculo-auriculo-vertebral spectrum (OAVS), presents with multifaceted craniofacial anomalies, spinal malformations, and systemic complications that demand a comprehensive rehabilitation strategy (Jayaprakasan et al., 2023; Kautz, 2021). Traditional medical management alone of...

Self-Supervised Learning (SSL) has emerged as a promising approach for domain adaptation, leveraging large volumes of unlabeled data to improve generalization across diverse domains. This study explores regularization strategies in SSL-based domain adaptation, with a focus on Momentum Contrast (MoCo), SimCLR, and Bootstrap Your Own Latent (BYOL). B...

Cross-domain 3D human pose estimation has emerged as a vital challenge in computer vision, particularly in real-world applications where labeled data in the target domain is scarce or unavailable. Graph Neural Networks (GNNs), with their ability to model spatial dependencies between human joints, have shown significant promise in tackling this issu...

Positron Emission Tomography/Magnetic Resonance Imaging (PET/MRI) has emerged as a transformative hybrid imaging modality, offering unparalleled insights into both the structural and functional aspects of the brain. This integration capitalizes on the high spatial resolution and superior soft-tissue contrast of MRI, combined with the metabolic and...

The integration of artificial intelligence (AI) into biosecurity has introduced both opportunities and significant risks. While AI enhances threat detection, response coordination, and biological research, it can also be exploited to engineer biothreats. Red teaming-an adversarial testing approach-has become essential for stress-testing AI systems...

Hybrid imaging has emerged as a transformative approach in neuroimaging, enabling a comprehensive assessment of both functional and structural brain changes. Traditional imaging modalities, such as functional magnetic resonance imaging (fMRI), positron emission tomography (PET), and diffusion tensor imaging (DTI), have individually provided critica...

Alzheimer's Disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline, memory loss, and functional impairments. With an increasing global burden, early and accurate diagnosis is critical for effective disease management and therapeutic interventions. Neuroimaging plays a pivotal role in Alzheimer's diagnosis, with...

The digital transformation of businesses has led to an increasing reliance on data-driven decision-making, necessitating more advanced and integrated Business Intelligence (BI) systems. This paper explores the convergence of Big Data analytics, Artificial Intelligence (AI), Machine Learning (ML), the Internet of Things (IoT), and Blockchain as a fo...

The convergence of Internet of Things (IoT), artificial intelligence (AI), and enterprise resource planning (ERP) systems is revolutionizing manufacturing and supply chain operations. This integration facilitates real-time monitoring, predictive analytics, and seamless data flow, enabling manufacturers to optimize resource utilization, enhance oper...

Generative artificial intelligence (AI) integrated with SAP S/4HANA is transforming enterprise operations by enhancing predictive maintenance and decision-making processes. By leveraging machine learning, generative AI generates synthetic data, identifies patterns, and improves forecasting accuracy, addressing challenges like equipment downtime and...

Digital twins, virtual replicas of physical supply chain assets and processes, are transforming SAP-based supply chain optimization by enabling real-time monitoring, predictive analytics, and operational efficiency improvements. The integration of digital twins with SAP solutions enhances decision-making, reduces inefficiencies, and provides greate...

The continuous evolution of healthcare technologies has led to the emergence of wearable devices that offer real-time monitoring of health metrics. Among these innovations, smart patches represent a cutting-edge development, offering a versatile, non-invasive approach to healthcare management. This article explores the transformative potential of s...

Conversational AI technologies, such as virtual assistants and chatbots, are transforming how banks interact with their customers. By automating routine inquiries, streamlining complex transactions, and providing personalized financial guidance, these AI-driven tools enhance customer service efficiency and satisfaction. This article explores the de...

The integration of Artificial Intelligence (AI) into Enterprise Resource Planning (ERP) systems has the potential to significantly enhance business operations, improve decision-making, and automate various processes. However, the adoption of AI in ERP systems presents numerous challenges that organizations must address to fully leverage its benefit...

The healthcare landscape is undergoing a transformative shift with the advent of self-powered wearable systems. These innovative devices address the limitations of traditional battery-powered health monitors, enabling continuous, real-time monitoring without the need for frequent recharging. By harnessing energy from various sources, such as body m...

This study compares the efficacy and safety of various antibiotic regimens used in the treatment of spontaneous bacterial peritonitis (SBP) in patients with cirrhosis. SBP is a severe complication of cirrhosis, associated with significant morbidity and mortality. The early initiation of appropriate antibiotic therapy is a critical determinant of im...

In recent years, the leveraged buyout (LBO) market has experienced significant overheating, driven by excessive leverage, competitive deal-making, and inflated valuations. These dynamics have introduced heightened risks of financial instability, liquidity crises, and operational disruptions. This article explores the critical role of disaster recov...

Building condition auditing is a crucial process in assessing the structural integrity, safety, and maintenance needs of a building. However, one of the major challenges in this field is the subjectivity and bias that can influence the audit results. These biases can arise from various sources, including the personal experiences of auditors, incons...

Sustainability in supply chains has become a pressing concern for businesses seeking to minimize their environmental impact while maintaining operational efficiency. Artificial Intelligence (AI) and SAP analytics play a crucial role in reducing carbon footprints by optimizing resource utilization, improving energy efficiency, and enabling real-time...

Artificial Intelligence (AI) has revolutionized diverse domains, including social media, healthcare research, and electronics development. With its ability to analyze vast amounts of data, generate insights, and automate complex tasks, AI is not merely a technological innovation but a transformative force reshaping how these fields operate. This pa...

Cryptocurrencies, powered by blockchain technology, have emerged as a revolutionary force in global financial markets, offering new economic opportunities for emerging economies. Among these, the Gulf countries-comprising nations such as the United Arab Emirates (UAE), Saudi Arabia, Qatar, Kuwait, Oman, and Bahrain-have increasingly explored the po...

The adoption of Voice over Internet Protocol (VoIP) has revolutionized communication, offering cost-effective and scalable solutions for businesses and individuals. However, VoIP systems, particularly those operating in wireless environments, are susceptible to various security threats such as eavesdropping, denial-of-service attacks, and unauthori...

The rapid expansion of the Internet of Things (IoT) has brought with it significant advancements in automation, data collection, and connectivity across industries. However, these benefits are accompanied by challenges related to cyber security and the efficient management of vast IoT networks. Traditional methods of security and IT operations are...

Spontaneous Bacterial Peritonitis (SBP) is a life-threatening infection commonly observed in patients with cirrhosis and ascites, significantly impacting their prognosis. The management of SBP has evolved to incorporate adjunctive therapies, with intravenous albumin (IV albumin) emerging as a critical component. IV albumin has demonstrated efficacy...

Meta-analysis serves as an essential tool in evidence-based medicine, combining data from multiple studies to derive robust conclusions. In the context of COVID-19, the steroid dexamethasone emerged as a critical treatment for severe cases, supported by a wealth of randomized controlled trials (RCTs). This article examines the methodologies of meta...

Craniofacial anomalies (CFAs) encompass a wide range of congenital disorders that impact the development of the skull and face, often leading to significant functional and aesthetic challenges. These conditions can affect not only the physical appearance of patients but also their neurological, cognitive, and psychological well-being. While the dia...

Voice over Internet Protocol (VoIP) technology has revolutionized modern communication by enabling voice transmission over internet networks rather than traditional public switched telephone networks (PSTN). With its cost-effectiveness, scalability, and integration with digital applications, VoIP has become a fundamental communication tool for busi...

Noise, vibration, and harshness (NVH) are critical factors in modern automotive design, significantly influencing passenger comfort and overall vehicle quality. One of the prominent sources of unwanted noise within the cabin is gear noise, originating from the interaction of powertrain components. Engine mount brackets, which provide structural sup...

The integration of cloud computing infrastructure has become essential for advancing both artificial intelligence (AI) and civil engineering disciplines. This paper explores the optimization of cloud infrastructure to support the training of large-scale generative models and to evaluate the structural dynamics in confined masonry systems. Generativ...

The private equity industry has long relied on conventional tools and strategies to execute leveraged buyouts (LBOs), a core mechanism for value creation through acquisitions. However, with the advent of large language models (LLMs), the traditional landscape of LBOs is undergoing a revolutionary transformation. These models, powered by advancement...

Root Cause Analysis (RCA) is an essential method used across various industries to identify the underlying causes of issues, inefficiencies, and failures in complex systems. Traditional RCA techniques often fall short when dealing with the vast amount of data and intricate relationships within modern systems, especially as organizations increasingl...

SWIFT (Society for Worldwide Interbank Financial Telecommunication) has long been the backbone of international financial transactions, facilitating trillions of dollars in daily cross-border payments. However, its limitations-such as high costs, inefficiencies, and delays-have spurred interest in alternatives, particularly digital currencies. This...

Global supply chains underpin economic stability and national security but are increasingly vulnerable to disruptions caused by geopolitical tensions, pandemics, natural disasters, and economic volatility. For the United States, ensuring the efficiency and resilience of supply chains is not just an economic imperative but a strategic necessity. Thi...

Open governance, a paradigm emphasizing transparency, accountability, and citizen participation, has emerged as a cornerstone of modern democratic systems. This concept, which seeks to bridge the gap between governments and their citizens through open communication and participatory mechanisms, is increasingly relevant in an era of rapid technologi...

In the era of globalization and digital transformation, organizations are faced with the challenge of managing vast amounts of real-time data generated by social interactions and global supply chains. The combination of digital twin technology and microservices architecture offers a promising solution for optimizing social user identities and wareh...

Influenza remains a global health challenge, particularly among children who are vulnerable to severe symptoms and complications. The antiviral treatments Baloxavir and Oseltamivir have shown efficacy in reducing symptoms and shortening the duration of illness in pediatric patients. This systematic review compares the efficacy and safety of both tr...

In the rapidly evolving world of the Internet of Things (IoT), the need for seamless integration between vehicle tracking systems and cybersecurity protocols has become increasingly important. This paper proposes a novel approach using a Graph-Regularized Neural Network (GRNN) to solve the dual challenges of multi-vehicle tracking across multiple c...

Predator-prey interactions are foundational to ecological balance and biodiversity. Among these interactions, predator facilitation-a process where one predator's actions benefit another-plays a critical role in shaping ecosystem dynamics. Predator facilitation occurs through mechanisms such as cooperative hunting or unintentional collaboration, si...

In recent years, green innovation has emerged as a cornerstone of sustainable development, driven by the growing urgency to mitigate climate change and environmental degradation. This article explores the crucial roles of financial development and government research and development (R&D) subsidies in advancing green innovation. Green innovation en...

Vocal cord paralysis (VCP) is a rare neurological disorder that typically results from damage to the recurrent laryngeal nerve or other structures controlling vocal cord movement. It can present with a variety of symptoms such as hoarseness, voice changes, and breathing difficulties. While most cases of VCP are due to benign causes such as viral in...

The proliferation of the Internet of Things (IoT) has revolutionized industries by connecting devices to create seamless, data-driven ecosystems. However, this interconnectivity has introduced significant vulnerabilities, exposing IoT systems to a myriad of cybersecurity threats. This article proposes an advanced neural network framework integrated...

The exponential growth of Internet of Things (IoT) ecosystems demands advanced communication frameworks capable of handling high device density, diverse data traffic, and stringent latency requirements. Intelligent Reflecting Surface (IRS)-assisted Multiple-Input Multiple-Output (MIMO) systems offer a promising solution by enhancing signal propagat...

The financial system, as we know it, has long been dominated by centralized institutions and intermediaries. Traditional banking and financial systems, while highly developed and trusted, have also faced criticism for their inaccessibility to large portions of the global population, high transaction fees, and a lack of transparency. However, the ri...

In the modern business environment, sustainability and technological innovation have become paramount to achieving long-term growth. As organizations increasingly face environmental and economic pressures, sustainable IT and machine learning (ML) offer promising solutions to improve efficiency and reduce environmental impact. This article explores...

The escalating sophistication of cyber threats has exposed the limitations of reactive cybersecurity approaches, necessitating a shift to proactive, data-driven defenses. Predictive analytics, powered by advancements in artificial intelligence (AI) and machine learning (ML), offers organizations the ability to forecast potential threats and mitigat...

The adoption of machine learning (ML) in finance has revolutionized decision-making processes in areas such as credit scoring, loan approvals, fraud detection, and investment strategies. However, the reliance on historical data and algorithmic models has raised critical concerns about fairness and equity. Unfair outcomes, stemming from biases in da...

As the Internet of Things (IoT) continues to evolve, the management and delivery of multimedia content have become increasingly sophisticated. This article explores the integration of cybersecurity measures with multimedia content management systems (CMS), focusing on the provision of validation and personalization services. With the rise of IoT de...

As cyber threats become increasingly sophisticated, Security Information and Event Management (SIEM) systems play a critical role in aggregating, analyzing, and responding to potential risks. However, a major challenge in threat detection within SIEM systems is the domain shift caused by dynamic network environments and evolving attack patterns. Tr...

The healthcare industry is rapidly transforming through the integration of machine learning (ML) techniques, offering groundbreaking opportunities in early diagnosis, personalized treatment, and clinical decision-making. One of the critical areas where ML is making a significant impact is in the diagnosis of cardiovascular diseases, particularly ao...

The optimization of rod coating transitions plays a critical role in improving the performance, durability, and reliability of high-performance engine components. Traditionally, dyno testing has been the gold standard for evaluating the effectiveness of rod coatings. However, this method is often resource-intensive, costly, and time-consuming. This...

Aortic stenosis (AS) is a critical cardiovascular disease characterized by the narrowing of the aortic valve, which restricts blood flow from the heart to the rest of the body. As the disease progresses, it can lead to heart failure and other severe complications. Timely and accurate diagnosis of AS is crucial for effective treatment and improving...

As the sophistication of cyberattacks continues to escalate, traditional cybersecurity measures are becoming increasingly inadequate in defending against these evolving threats. Machine learning (ML) has emerged as a powerful tool in the fight against cybercrime, offering the ability to automatically detect and mitigate a wide range of attacks. How...

Generative AI has transformed how businesses operate by producing high-quality, data-driven insights. However, applying these models in sensitive sectors like finance and real estate requires more than just accuracy; it demands explainability and fairness to mitigate biases and ensure trust. Adaptive prompt learning-a novel approach to refining AI...

The ever-increasing volume of image data generated across various sectors-such as healthcare, security, e-commerce, and autonomous vehicles-has necessitated advancements in efficient image recognition technologies. Traditional image recognition systems face several challenges, such as latency, high computational costs, and storage inefficiencies, w...

In an era where data breaches and privacy concerns are becoming increasingly prevalent, businesses must adopt robust strategies to safeguard sensitive information and comply with global regulatory frameworks. This article explores how advanced analytics can play a crucial role in enhancing data privacy and ensuring cybersecurity compliance. By inte...

The dynamics of prey-predator interactions form the foundation of numerous ecological models, providing critical insights into population regulation and ecosystem stability. Traditional models, primarily based on Lotka-Volterra equations, focus on population densities but often fail to account for the complex spatial and temporal variations that oc...

As enterprises strive to enhance their competitiveness and reduce operational costs, the integration of sustainable practices in information technology (IT) has gained significant momentum. Sustainable IT practices, also known as Green IT, encompass a wide range of strategies aimed at reducing environmental impact while fostering business growth. T...

As cyber threats become increasingly sophisticated, organizations must adopt advanced strategies to safeguard their digital assets. Business intelligence (BI), with its data-driven analytical capabilities, offers a transformative approach to enhancing cyber defense. By integrating BI into cybersecurity frameworks, organizations can proactively dete...

This article explores the integration of Business Analytics (BA) and Health Information Technology (HIT) in enhancing the security and accuracy of artificial intelligence (AI)-driven diagnoses for Aortic Stenosis (AS). Aortic Stenosis, a critical cardiovascular condition, demands early and precise diagnosis, which AI promises to achieve through dat...

Cardiovascular diseases, particularly Aortic Stenosis (AS), remain a leading cause of morbidity and mortality globally. Recent advancements in machine learning (ML) have shown promise in diagnosing and predicting AS, offering an opportunity to enhance clinical outcomes through early detection. However, the deployment of ML models in healthcare pres...

Common mistletoe (Viscum album), a parasitic plant species widely distributed across Europe and parts of Asia, plays a complex role in forest ecosystems. While its parasitic nature can lead to the deterioration of host trees, mistletoe also enhances biodiversity by providing habitat and food for various animal species. This duality presents a chall...

The scuffing behavior of piston-pin/bore bearings under mixed lubrication conditions plays a significant role in determining the performance and longevity of engine components. This study aims to analyze the scuffing phenomena in such bearing systems, focusing on the interactions between lubricant properties, load, speed, and temperature. The exper...

This article provides a comprehensive analysis of Cross-Site Scripting (XSS) attacks, a prevalent security threat in web applications. It explores the mechanisms behind XSS attacks, the vulnerabilities they exploit, and the potential consequences for both users and organizations. The article critically evaluates various prevention and detection str...

Composite materials are widely used in engineering applications due to their superior strength-to-weight ratios, particularly in aerospace, marine, and automotive industries. Among these, 1-3 composites, composed of fiber-reinforced and matrix phases, offer exceptional mechanical and thermal properties. This study investigates the thermo-mechanical...

As web applications have become integral to modern digital interactions, ensuring their security has become paramount. Among the myriad threats they face, Cross-Site Scripting (XSS) stands out due to its ability to compromise user data and disrupt services. This article delves into innovative approaches for detecting and preventing XSS attacks, emp...

The global challenge of waste management, particularly the treatment and disposal of faecal sludge residues (FSR), has spurred the exploration of innovative waste-to-energy technologies. Among these, the recovery of bio-crude from FSR offers significant potential for renewable energy production. This article evaluates the financial viability of bio...

Design for Assembly (DFA) methodologies are pivotal in optimizing product design, reducing manufacturing costs, and enhancing assembly processes. Despite their quantitative foundation, DFA processes often rely on subjective information inputs, such as individual expertise, experience, and interpretation, potentially impacting the reliability of ass...

The integration of sustainable IT strategies has become a critical factor in the long-term success of businesses across various industries. As the world faces growing environmental concerns, organizations are increasingly turning to green technologies to reduce their environmental footprint while driving business growth. This article explores the c...

Sustainable agriculture faces complex challenges, including climate change, food security, and environmental degradation. Genomics-driven strategies offer promising solutions by enhancing crop resilience, yield, and nutritional quality. This article explores various genomics-based approaches for sustainable crop improvement, such as marker-assisted...

The emergence of Business Analytics (BA) and Artificial Intelligence (AI) has transformed industries by enabling organizations to harness data for strategic decision-making and operational improvements. This article explores the significance of a data-driven approach, highlighting the benefits and opportunities of integrating BA and AI across vario...

Aortic stenosis (AS) is a progressive and potentially life-threatening cardiac condition that often goes undiagnosed in its early stages, leading to significant morbidity and mortality. Traditional diagnostic methods, while effective, are time-consuming and subject to inter-observer variability, which can delay diagnosis and treatment. In recent ye...

The Internet of Things (IoT) is transforming communication systems by enabling connectivity between a vast number of devices. As IoT networks expand, the demand for more efficient, scalable, and reliable communication technologies intensifies. Multiple-Input Multiple-Output (MIMO) systems have proven to be a cornerstone of modern wireless communica...

The integration of generative AI in the financial and real estate industries has revolutionized predictive modeling, decision-making, and operational efficiency. However, the growing reliance on AI in these critical domains has amplified concerns around fairness, bias, and the opacity of decision-making processes. Balancing precision with fairness...

Cardiovascular diseases (CVDs) are a leading cause of morbidity and mortality globally, with an increasing burden in low-and middle-income countries, including Sudan. This study investigates the changing trends and clinical characteristics of CVDs in River Nile State through a hospital-based observational study. Patient data were collected from mul...

Dexamethasone, a corticosteroid with proven efficacy in the management of severe COVID-19 cases, has been studied extensively for its ability to reduce inflammation and prevent cytokine storms. However, the optimal dosage required for maximum benefit while minimizing adverse effects remains a subject of ongoing research. This paper aims to compare...

The digital age has ushered in an unprecedented amount of data generated through online platforms, ranging from social media interactions to e-commerce transactions. One of the critical challenges for businesses and organizations is the efficient and accurate aggregation of online user profiles from diverse, often fragmented data sources. Tradition...

Voice over Internet Protocol (VoIP) has revolutionized real-time communication, offering cost-effective and scalable alternatives to traditional telephony. However, the transition from circuit-switched networks to internet-based communication introduces significant security vulnerabilities, including eavesdropping, man-in-the-middle (MITM) attacks,...

The integration of electric vehicles (EVs) into smart grid systems is increasingly seen as a pivotal strategy for enhancing energy efficiency, sustainability, and grid stability. This article examines the operational frameworks and analytical approaches essential for leveraging EVs within smart grids. It discusses the technological advancements tha...

Photovoltaic (PV) systems are a crucial component of the global renewable energy landscape, contributing significantly to reducing greenhouse gas emissions and reliance on fossil fuels. However, the efficiency of PV systems can be compromised by faults and partial shading, leading to substantial power losses. This paper proposes an advanced real-ti...

The evolution of energy infrastructure has led to the development of smart grids, a key technology to achieve sustainable and efficient power distribution in the digital era. This article presents a comprehensive review of smart grid systems, highlighting their core components, technologies, and potential to enable a sustainable power supply. Smart...

The growing demand for electricity, combined with the integration of renewable energy sources and increasing uncertainties in power systems, necessitates a reevaluation of traditional approaches to Transmission Network Expansion Planning (TNEP). This paper proposes an innovative adaptive clustering framework aimed at enhancing the flexibility and r...

As cyber threats grow in complexity and frequency, the need for robust protection of critical infrastructure has become a national security imperative. Advanced Threat Intelligence (ATI) offers a promising solution by enhancing situational awareness and enabling proactive responses to emerging cyber threats. This article delves into the integration...

This article explores an innovative approach to transmission system expansion planning that proactively incorporates various uncertainties, such as demand fluctuations, renewable energy integration, and evolving regulatory environments. With power systems becoming increasingly complex due to technological advancements and shifting economic factors,...

Mushroom picking has long been cherished in Poland as both a cultural tradition and a popular recreational activity. This article explores the significance of mushroom picking in Poland's woodland areas, emphasizing its dual role as a form of recreation and a driver of tourism. By examining historical contexts, health benefits, and ecological impli...

The integration of electric vehicles (EVs) into smart grid systems presents a transformative opportunity to enhance grid operations, improve energy management, and drive sustainability. This study examines the role of EVs in smart grids, focusing on their operational impacts on load balancing, grid stability, and energy efficiency. Using analytical...

Surge arresters are vital components in power distribution networks, designed to protect electrical equipment from damaging voltage surges. These surges can result from various phenomena, including lightning strikes, switching operations, and faults within the power system. This article explores the application of frequency and time series analysis...

The Internet of Things (IoT) is transforming industries worldwide, and the energy sector is no exception. By integrating IoT technologies into smart grids, energy management systems are becoming more efficient, reliable, and sustainable. This article explores the role IoT plays in shaping the future of smart grids, enabling real-time data monitorin...

The global energy landscape is undergoing a transformative shift, driven by the urgent need to reduce energy waste, lower carbon emissions, and achieve sustainable energy management. Integrating smart grid technologies with the Internet of Things (IoT) represents one of the most promising approaches for optimizing energy distribution, improving eff...

Railway track stability is highly influenced by the drainage efficiency of the ballast layer, a key component responsible for bearing train loads and ensuring smooth track performance. Poor drainage can lead to significant issues such as ballast fouling, settlement, and eventual track instability, which could jeopardize the safety and longevity of...

The integration of real-time performance monitoring and predictive analysis in educational settings holds the potential to fundamentally transform how educators assess and enhance student learning. Real-time performance monitoring involves the continuous tracking of students' academic progress, participation, and engagement, while predictive analyt...

The rapid digitization of healthcare insurance claims has introduced significant challenges in maintaining privacy, security, and compliance with the Health Insurance Portability and Accountability Act (HIPAA). Traditional centralized systems remain vulnerable to cyberattacks, fraudulent claims, and data breaches, threatening patient confidentialit...

The rapid evolution of Voice over Internet Protocol (VoIP) technology has transformed modern communication, providing cost-effective, flexible, and scalable solutions for businesses and individuals. Among the open-source VoIP solutions available, Asterisk has emerged as a widely adopted platform due to its robust features and customization capabili...