Maad M. Mijwil

• Master of Computer Science
• College of Administration and Economics at Al-Iraqia University

The rise of superintelligent open-source generative AI (genAI) heralds both extraordinary potential and unprecedented risk, exemplified by the rapid emergence of DeepSeek as a global AI innovator. This perspective article examines the dual-edged nature of open source genAI technologies, highlighting their capacity to democratize innovation while ex...

Appendicitis is a common disease that occurs particularly often in childhood and adolescence. The accurate diagnosis of acute appendicitis is the most significant precaution to avoid severe unnecessary surgery. In this paper, the author presents a machine learning (ML) technique to predict appendix illness whether it is acute or subacute, especiall...

In the modern era, many terms related to artificial intelligence, machine learning, and deep learning are widely used in domains such as business, healthcare, industries, and military. In these fields, the accurate prediction and analysis of data are crucial, regardless of how large the data are. However, using big data is confusing due to the rapi...

COVID-19 (Coronavirus disease-2019), commonly called Coronavirus or CoV, is a dangerous disease caused by the SARS-CoV-2 virus. It is one of the most widespread zoonotic diseases around the world, which started from one of the wet markets in Wuhan city. Its symptoms are similar to those of the common flu, including cough, fever, muscle pain, shortn...

Skin cancer is a type of dangerous disease, and early detection is necessary to increases the survival rate. In recent years, deep learning models applied to computerized skin cancer discovery has become a standard. These models can improve their performance by being able to access more data and its main task is to the classification of images. Thi...

Indoor air quality (IAQ) at educational institutions has emerged as an important public health issue, affecting the health and cognitive performance of school-aged children, students, and faculty alike. This scoping review study seeks to investigate and synthesize current literature on the factors influencing the current state of research on IAQ in...

ABSTRACT The rapid evolution of generative artificial intelligence (genAI) has ushered in a new era of digital medical consultations, with patients turning to AI-driven tools for guidance. The emergence of Chinese-developed genAI models such as DeepSeek-R1 and Qwen-2.5 presented a challenge to the dominance of OpenAI’s ChatGPT. The aim of this stud...

The swift growth of the Industrial Internet of Things (IIoT) offers tremendous potential to boost productivity, facilitate real-time decision-making, and automate procedures in various industries. However, as industries increasingly adopt IIoT, they face paramount data security, privacy, and system integrity challenges. Artificial intelligence (AI)...

In 2016, the Japanese government introduced the idea of Society 5.0 with the objective of building a society that centers on people, is sustainable, and inclusive by incorporating digital technologies. Society 5.0 is recognized as the fifth level in the development of human societies after hunting and gathering, agricultural, industrial, and inform...

The convergence of quantum computing and machine learning holds promise for revolutionizing the manufacturing sector by enhancing production efficiency, cutting costs, and elevating product quality. This chapter delves into the burgeoning realm of quantum machine learning (QML) and its implications within the framework of Industry 4.0. Initially, i...

This study delves into how Ghana's Cybersecurity Act addresses training provisions and support for investigating cases of AI negligence, drawing from sections of the Act's legal cases and academic literature. A legal assessment of Act 1038 concerning capacity building, protection of infrastructure liability gaps considering emerging AI threats and...

Indoor air quality (IAQ) at educational institutions has emerged as an important public health issue, affecting the health and cognitive performance of school-aged children, students, and faculty alike. This scoping review study seeks to investigate and synthesize current literature on the factors influencing the current state of research on IAQ in...

Background: The emergence of Chinese generative AI (genAI) models, such as DeepSeek and Qwen, has introduced strong competition to Western genAI models. These advancements hold significant potential in healthcare education. However, benchmarking the performance of genAI models in specialized medical disciplines is crucial to assess their strengths...

Blockchain technology is a type of distributed ledger that provides secure and efficient storage, management, and transmission of data over a decentralized network. With its ability to ensure transparency and immutability, blockchain is increasingly adopted across various sectors ranging from finance, healthcare, and logistics to education. In heal...

Wetlands are essential ecosystems that provide ecological, hydrological, and economic benefits. However, human activities and climate change are degrading their health and jeopardizing their long-term sustainability. To address these challenges, the Internet of Wetland Things (IoWT) has emerged as an innovative framework integrating advanced sensin...

This study reviewed a total of 3171 published articles, mainly from 1992-2024. The review was performed using scientifically cited and indexed databases, namely Dimensions, Web Science, Elsevier Scopus, and Google Scholar. This study demonstrates how AI technologies, such as computer vision and system learning, may revolutionize industrial efficien...

The advent of 5G technology marks a significant leap in connectivity, promising to revolutionize both consumer and industrial applications. This paper provides an overview of the 5G landscape, focusing on its key applications and potential impact across various sectors. According to the 3rd Generation Partnership Project (3GPP), 5G primarily enhanc...

Sustainable forest management is vital for addressing climate change, biodiversity loss, and deforestation. Human-induced stresses on forest ecosystems demand innovative approaches to ensure long-term health and productivity. This study explores how cutting-edge technologies, including the Internet of Things (IoT), remote sensing, and artificial in...

This analysis examines whether Ghana’s Public Health Act, 2012 (Act 851) imposes adequate legal responsibilities on healthcare facilities concerning personnel training on artificial intelligence (AI) systems and implementation of medical negligence reduction measures. Through an evaluative review of Act 851 provisions on staff qualifications, techn...

This paper examines Ghana's Interpretation Act, 2009 for applicability in AI medical negligence cases. Doctrinal analysis focuses on causation and liability apportionment provisions. Findings reveal opacity and distributed responsibility issues in attributing algorithm harm via "but-for" and related tests. However, contributory liability and propor...

The integration of Artificial Intelligence (AI) into livestock management in Sub-Saharan Africa (SSA) offers a promising solution for improving food security amid climate change challenges. AI technologies have the potential to optimize agricultural 456 practices, enhance supply chain management, and address animal health concerns. However, barrier...

The utilization of the wearable devices (WDs) that are enhanced by artificial intelligence (AI) can have a notable potential in healthcare. This chapter aimed to provide an overview of the applications of AI-driven WDs in enhancing the early detection and management of virus infections. First, we presented examples to highlight the capabilities of...

Smart cities rapidly evolve into transformative ecosystems where advanced technologies work together to improve urban living. These interconnected environments use emerging technologies to offer efficient services and sustainable solutions for urban challenges. As these systems become more complex, their vulnerability to cybersecurity threats also...

Abstract: Indoor air quality (IAQ) at educational institutions has emerged as an important public health issue, affecting the health and cognitive performance of school-aged children, students, and faculty alike. This scoping review study seeks to investigate and synthesize current literature on the factors influencing the current state of research...

In the recent generative artificial intelligence (genAI) era, health sciences students (HSSs) are expected to face challenges regarding their future roles in healthcare. This multinational cross-sectional study aimed to confirm the validity of the novel FAME scale examining themes of Fear, Anxiety, Mistrust, and Ethical issues about genAI. The stud...

Protein-ligand binding affinity is a cornerstone of structure-based drug design. The ability to computationally predict ligand-protein binding affinities represents a significant challenge in computational medicinal chemistry. This capability holds immense value in the early stages of drug discovery, enabling researchers to leverage mathematical mo...

This study presents a U-Net-based approach for the classification of lung diseases using chest X-ray images. The model effectively leverages its encoder-decoder architecture and skip connections to capture both high-level semantic features and detailed spatial information, crucial for medical image analysis. The U-Net model was trained and tested o...

Urbanization and climate variation are two major factors that affect the urban heat island effect, which is the phenomenon where urban areas experience higher temperatures. This study aimed to assess the impact of climate variation on the urban heat island effect in Kaduna Metropolis, Nigeria, utilizing GIS and remote sensing techniques. The study...

This chapter examines the connection between foreign direct investment (FDI) and environmental degradation in Uganda from 1990 to 2022. It includes control variables such as GDP growth, trade openness, urbanization, industrialization, and agricultural activity, utilizing data from the World Bank's World Development Indicators. Using the Autoregress...

This study investigated an advanced approach to enhancing security and privacy in healthcare by incorporating artificial intelligence (AI)-based strategies to detect and mitigate data poisoning attacks. The proposed method combined unified learning, homomorphic encryption, and autoencoder-based anomaly detection. It ensured that models were trained...

There has been a growing interest in developing lightweight algorithms for implementing DoS attack mitigation on edge devices due to the increasing focus on edge cybersecurity. Several micro-controller boards are available for capturing network traffic and implementing lightweight machine learning models. These models can then analyze incoming data...

The usage of cloud-based farther administration frameworks presents a heap of challenges that affect their proficiency and security. This paper investigates these challenges, centering on vague security controls over diverse benefit models, the chance of information breaches and unauthorized get to, and the inescapable risk of cyberattacks. It too...

Brain tumors are complex medical conditions that appear due to the abnormal proliferation of cells. They are tumors (benign or malignant) that grow abnormally or are masses of tissue that develop in a dreadful manner in the human brain. In most cases, there is no specific or known cause for the occurrence of these tumors, and late diagnosis leads t...

This study investigated an advanced approach to enhancing security and privacy in healthcare by incorporating artificial intelligence (AI)-based strategies to detect and mitigate data poisoning attacks. The proposed method combined unified learning, homomorphic encryption, and autoencoder-based anomaly detection. It ensured that models were trained...

This research delineates the advancement of a refined predictive algorithm centered on the Generalized Least Deviation Method (GLDM) specifically configured for analyzing COVID-19 infection trends in Dagestan using univariate time series data. Our methodology is characterized by its enhancement of forecast precision through diligent minimization of...

The usage of cloud-based farther administration frameworks presents a heap of challenges that affect their proficiency and security. This paper investigates these challenges, centering on vague security controls over diverse benefit models, the chance of information breaches and unauthorized get to, and the inescapable risk of cyberattacks. It too...

GLDMHO is a software algorithm implemented in Python, specifically designed for automatically forecasting univariate time series data using high-order quasilinear recurrence equations. Optimized for large-scale applications, such as temperature datasets, GLDMHO features an automatic model selection system that identifies the optimal order, ranging...

Residential aged care facilities (RACFs) have high prevalence of malnutrition and the condition increases the health risks of elderly patients. This research aims to determine the feasibility of utilizing zero-shot prompt engineering at the generative AI models with and without the practitioners’ use of RAG to automatically summarize and extract ke...

This paper introduces a quantum-inspired ultra-lightweight encryption algorithm tailored for Internet of things devices with limited resources. The proposed algorithm excels in processing speed, memory usage, and energy efficiency, significantly outperforming existing lightweight cryptographic algorithms. With a processing speed of 12.4 ms, memory...

Viral hepatitis continues to be a serious global health concern, impacting millions of people, putting a strain on healthcare systems across the world, and causing significant morbidity and mortality. Traditional diagnostic, prognostic, and therapeutic procedures to address viral hepatitis are successful but have limits in accuracy, speed, and acce...

Conventional water sources in the Southeast Mediterranean and the Middle East play a crucial role in driving the socio-economic progress of the region. This study aims to address the uncertainties, discrepancies, and gaps in knowledge regarding how to combat the climate crisis and extreme weather events impacting traditional water sources. These so...

Wireless sensor networks and Internet of Things devices are revolutionizing the smart agriculture industry by increasing production, sustainability, and profitability as connectivity becomes increasingly ubiquitous. However, the industry has become a popular target for cyberattacks. This survey investigates the role of artificial intelligence (AI)...

Artificial intelligence is increasingly present in many applications that help humans accomplish many tasks. It can support improved results, increased productivity, and high efficiency in providing services. Systems developers seek to integrate improved artificial intelligence models into the development of healthcare services and make a significa...

Background and Aims: The healthcare system's complex structure presents unique challenges in ensuring security and privacy. This review aimed to explore these challenges in the context of the growing integration of artificial intelligence (AI) in healthcare operations. Materials and Methods: We conducted an in-depth analysis of the healthcare syste...

Bronchial allergies in children are a frequent respiratory ailment that can have a major negative effect on quality of life. Effective management requires both individualized treatment programs and an early and accurate diagnosis. Artificial intelligence (AI) has become a potent instrument in the medical field, transforming the methods of diagnosis...

Water quality is essential for maintaining the health of ecosystems and the overall quality of life. It is crucial to monitor water quality for effective water resource management, as high-quality water suitable for domestic, drinking, irrigation, and industrial use is not always readily available. Polluted water has serious repercussions, leading...

This paper introduces AI-PotatoGuard, an artificial intelligence (AI) tool which enhances the management of diseases in potatoes through the use of generative models and convolutional neural networks (CNN). In contrast to traditional practices, AI-PotatoGuard is a tool which provides the ability to detect potatoes in the early stages of the disease...

This study analyzes the adequacy of Ghana's Mental Health Act in governing the use of artificial intelligence (AI) in mental healthcare and the protections against negligence. Through a comprehensive legal analysis and review of the Act’s provisions, alongside an examination of scholarly literature on AI use risks and benefits, negligence standards...

Decentralised machine learning algorithms federated learning is popular because it integrates key data and trains models on dispersed data sources. This mixed learning study demands complexity, information and unmet requirements. Since data is local, user privacy is crucial. Effective communication methods must be designed to update models across d...

The impact of artificial intelligence and machine learning on financial stability: a socio-legal analysis of the banking sector. The purpose of the present analysis is to identify the impact of artificial intelligence and machine learning on financial stability in the banking sector. The methodology uses the socio-legal model and the technological...

The fourth industrial revolution has seen the evolution and wide adoption of game-changing and disruptive innovation, "financial technologies (FinTech), around the globe. However, the security of FinTech systems and networks remains critical. This research paper comprehensively reviews cybersecurity issues and their mitigation measures in FinTech....

Objective: This article discusses the evidentiary requirements for demonstrating scientific negligence under Ghana's Civil Procedure Rules 2004 (C.I. 47) in the context of emerging artificial intelligence (AI) diagnostic and treatment structures. Method: Legal analysis examines gaps in satisfying burden of proof and standards of evidence, obstacles...

Cutting-edge technologies have been widely employed in healthcare delivery, resulting in transformative advances and promising enhanced patient care, operational efficiency, and resource usage. However, the proliferation of networked devices and data-driven systems has created new cybersecurity threats that jeopardize the integrity, confidentiality...

In this chapter, the effects of cutting-edge artificial intelligence (AI) technologies at edge computing are examined in higher education. Edge computing offers a decentralized method of computing in which processing is done near the data source. Due to less network traffic, response times can be quicker. AI technology can be implemented at the edg...

In the realm of stock market prediction and classification, the use of machine learning algorithms has gained significant attention. In this study, we explore the application of Multilayer Perceptron (MLP) and Radial Basis Function (RBF) algorithms in predicting and classifying stock prices, specifically amidst economic policy uncertainty. Stock ma...

Data poisoning threatens the security foundations of modern machine learning systems. As models become more complex and training datasets grow larger, the opportunities for adversaries to manipulate behaviors through data corruption will only increase. However, the technical community has only scratched the surface in terms of rigorously analyzing...

This study investigates traditional water resources in Southeast Mediterranean and Middle Eastern countries, focusing on water shortage, pollution, and governance. Strengthening national water policy and promoting safe reuse of reclaimed water is crucial. Conventional water resources in Southeast Mediterranean and Middle Eastern countries are criti...

With the significant growth of modern technology and its integration into many different industries, especially in the healthcare sector, artificial intelligence is one of the critical methods contributing to the development of medical fields, including dentistry. It possesses important and influential techniques that contribute to improving the re...

The open-air excavation of construction rocks and valuable minerals and the consequences of un-optimized overall slope angles and quarrying designs on slope stability and sustainable mining in Kenyan and Ghanaian opencast mines insist on the critical role of legislative frameworks for the mining sectors in mining mine slope stability assessment mai...

Internet of things solutions have brought about a significant revolution in the development of healthcare by providing remote monitoring capabilities and providing doctors with reports on patients in real-time, which leads to developing the care of patients with type 2 diabetes and enhancing their health condition. Through several sensors, IoT devi...

Human-Computer interaction (HCI) is a domain that focuses on growing the interaction between humans and computer systems by designing and developing user interfaces that are efficient and delightful to use. In this chapter, the authors focus on the importance of deep human-computer interaction on new applications with an emphasis on using ChatGPT a...

The goal of phishing assaults is to trick users into giving up personal information by making them believe they need to act quickly on critical information. The creation of efficient solutions, such as phishing attack detection systems backed by AI, is essential for the safety of users. This research suggests a two-stage hybrid strategy that uses b...

Through the use of smart sensors to monitor and regulate plant conditions, smart home gardening management systems can maximize resource utilisation and minimize human intervention. This study offers a new system that remotely controls the water supply to ensure optimal plant growth without the need for personal presence. The system uses the Blynk...

Background: Perceptions of COVID-19 and vaccination depend on personal beliefs, experiences, and trust in health authorities’ information. Cultural and social factors also influence perceptions. Effective government messaging can minimize barriers to vaccination. Methodology: This cross-sectional research examines socio-demographic parameters relat...

Data poisoning attacks, where adversaries manipulate training data to degrade model performance, are an emerging threat as machine learning becomes widely deployed in sensitive applications. This paper provides a comprehensive overview of data poisoning including attack techniques, adversary incentives, impacts on security and reliability, detectio...

Objective: This analysis evaluates whether Ghana's Food and Drugs Authority Act provides adequate statutory basis and policy tools for the medical regulatory authority to evaluate risks and oversee artificial intelligence (AI) based software devices, given complexities of AI technology. Methods: Case examples of medical AI systems and international...

This study examines the necessary changes in Ghana’s medical negligence law which governs artificial intelligence (AI) pilots in hospitals to preserve the doctor-patient relationship and address the liability gap by reviewing Law 575, examination of case law. Combined with lessons from Nigerian hospitals and the global literature, practical recomme...

Objective: Examine Ghana’s National Health Insurance Act (Act 650) to identify coverage gaps limiting artificial intelligence (AI) therapy access and address medical negligence liability issues surrounding automated healthcare systems. Methods: Legal and regulatory analysis of Act 650 were conducted, review of academic literature on global uptake...

The objective of this systematic review was to assess the adequacy of current medication management in Ghana considering the risks posed by increased artificial intelligence (AI) automation in pharmacies worldwide. A qualitative comparative approach was used to review of the Ghana 1994 Pharmacy Act. The results revealed flaws in terms of quality pr...

Blockchain represents a new promising technology with a huge economic impact resulting from its uses in various fields such as digital currency and banking; malware represents a serious threat to users, and there are many differences in the effectiveness of antivirus software used to deal with the problem of malware. This chapter has developed a co...

Heart disease is the leading cause of death in developed countries, as it causes many deaths annually. Despite the availability of effective treatments, heart disease remains a significant challenge to public health, so early detection is essential in enhancing patient outcomes and reducing mortality. Artificial intelligence seeks to help physician...

Machine learning is considered one of the most significant techniques that play a vital role in diagnosing the Coronavirus. It is a set of advanced algorithms capable of analysing medical data and identifying patterns and behaviours of diseases. It is used to interpret medical images, giving details of each image with high accuracy and efficiency,...

Modern technology has recently become a meaningful part of all life sectors, as software, sensors, smart machines, and expert systems are successfully integrated into the physical environment. This technology relies in its work on artificial intelligence techniques to make the right decisions at the right time. These technologies have a significant...

This article delves into the relationship between COVID-19 and cancer. The challenges and effects of the COVID-19 pandemic on cancer patients are highlighted, along with an explanation of the most crucial strategies that must be adhered to avoid this virus. Explaining the importance of healthcare systems in providing services to patients and assist...

Chatbots are computer programs using artificial intelligence and natural language processing (NLP) developed for written communication with humans. They can be designed with varying levels of sophistication, from basic keyword scanning to advanced AI technologies. Chatbots have a long history, with early examples dating back to the mid-20th century...

Healthcare experts have been employing machine learning more and more in recent years to enhance patient outcomes and reduce costs. In addition, machine learning has been applied in various areas, including disease diagnosis, patient risk classification, customized treatment suggestions, and drug development. Machine learning algorithms can scrutin...

In this study, Climate Research Unit (CRU) data crossing from 1901 to 2022 was utilized to analyze and predict evaporation rates in Almaty, Kazakhstan. The data was prepared utilizing Python, leveraging the Random Forest (RF) machine learning Techniques for its capability to handle complex and non-linear information. The essential measurements for...

In healthcare, medical image processing is considered one of the most significant procedures used in diagnosing pathological conditions. Magnetic resonance imaging (MRI), computed tomography (CT), ultrasound, and X-ray visualization have been used. Health institutions are seeking to use artificial intelligence techniques to develop medical image pr...

Paratransit transport drives the transport system in most emerging nations. It is essential to urban and rural movement. The informal transport system carries most people and is often more accessible, faster, ubiquitous, cheaper, and reliable, but it has also become environmentally unclean, rickety, unsafe, and oversupplied, causing traffic congest...

With around 63 million population of deaf/mute society in India, an effective way of communicating with them is needed in order to understand them as deaf/mute people use hand shape, facial expressions, and body movements for communication. Developing an effective, accessible, and reliable way of communication is vital research in progress in machi...

With the increasing prevalence of internet services in our daily lives, there is a growing demand for spectrum, resulting in a shortage of available frequencies. This is primarily due to the recent surge in subscribers seeking faster and more dependable data rates. Researchers globally have suggested various solutions to combat the spectrum shortag...

This study depends on the utilize of Support Vector Machine (SVM) method to analyze and predict monthly rainfall in Najaf city, Iraq over the past ten a long time. Support Vector Machine is one of the foremost imperative instruments in classifying and analyzing information in multiple areas, counting climate and climate data investigation. The Clim...

The study deals with the use of data mining techniques to build a classification model to predict students' academic performance. The research indicates that the use of machine learning models and data mining methods can reveal hidden patterns and relationships in big data, making them indispensable tools in the field of education analysis. Special...

Purpose: Evaluate the possibilities and limitations of implementing the Essential Ghana Public Health Act to manage the growing development of artificial intelligence (AI)-enabled health care in light of the contemporary gap in research so. Methodology: A review of the 2012 public health regulatory provisions and anti-technology surveillance mechan...

Advances in wireless systems have encouraged the growth and improvement of tiny, low-cost, efficient, and multi-tasking smart sensors. Wireless sensor networks are employed for sensing, collecting data and information, analysing it, and sending it to the main center to be considered quickly. During the performance, a wide range of issues appear, an...