Balamurugan Balamurugan

• Vellore Institute of Technology University

Cloud computing is termed as an on-demand service of computer system resources, especially CPU, memory, and I/O devices without direct access by the user. The resources are available to users through the internet via the pay-as-you-go policy. In the cloud environment, task scheduling and resource provisioning are significant problems in optimizing...

Life-time of the buildings is generally challenged by the act of nature. In-spite of the fact that the constructions provide minimum guarantee on quality and durability, certain mismatch in the composition of the materials, stress on the building, and chemical or physical imbalance of the materials, lead to surface crack. Cracks are also generated...

With the advancement of this digital era and the emergence of DApps and Blockchain, secure, robust and transparent network transaction has become invaluable today. These traditional methods of securing the transactions and maintaining transparency have encountered many challenges. It includes some such issues as follows: data privacy, centralized v...

Artificial Intelligence techniques are being used to analyse vast amounts of medical data and assist in the accurate and early diagnosis of diseases. The common brain related diseases are faced by most of the people which affects the structure and function of the brain. Artificial neural networks have been extensively used for disease prediction an...

The demand for real-time, high-quality services (QoS) is increasing with the proliferation of the resource-constrained nature of edge devices that facilitate the Internet of Things (IoT) and wireless sensor network (WSN) applications. Several existing multi-objective algorithms, such as MOPSO, Elitism MOGA, MODE, and others, are capable of balancin...

In the domain of passive brain-computer interface applications, the identification of emotions is both essential and formidable. Significant research has recently been undertaken on emotion identification with electroencephalogram (EEG) data. The aim of this project is to develop a system that can analyse an individual’s EEG and differentiate among...

The book serves as an essential guide and a deep dive into the intersection of AI and finance, providing readers with a thorough understanding of the current state, challenges, and future possibilities of autonomous financial systems. In the rapidly evolving domain of autonomous finance, the convergence of computational intelligence techniques and...

With technology development, the growing self-communicating devices in IoT networks require specific naming and identification, mainly provided by IPv6 addresses. The IPv6 address in the IoT network is generated by using the stateless auto address configuration (SLAAC) mechanism, and its uniqueness is ensured by the DAD protocol. Recent research su...

In the current era, the environmental component of ESG is recognized as a major driver due to the pressing challenges posed by climate change, population growth, global warming, and shifting weather patterns. The environment must be considered a critical factor, and as evidenced by existing research, it is regarded as the dominant component within...

The greatest technological transformation the world has ever seen was brought about by artificial intelligence (AI). It presents significant opportunities for the financial sector to enhance risk management, democratize financial services, ensure consumer protection, and improve customer experience. Modern machine learning models are more accessibl...

In the air-to-ground transmissions, the lifespan of the network is based on the “unmanned aerial vehicle's (UAV)” life span because of the limited battery capacity. Thus, the enhancement of energy efficiency and the outage of the ground candidate’s minimization are significant factors of the network functionality. UAV-aided transmission can highly...

The advancement in technology, with the “Internet of Things (IoT) is continuing a crucial task to accomplish distance medical care observation, where the effective and secure healthcare information retrieval is complex. However, the IoT systems have restricted resources hence it is complex to attain effective and secure healthcare information acqui...

Alzheimer’s Disease (AD) causes slow death in brain cells due to shrinkage of brain cells which is more prevalent in older people. In most cases, the symptoms of AD are mistaken as age-related stresses. The most widely utilized method to detect AD is Magnetic Resonance Imaging (MRI). Along with Artificial Intelligence (AI) techniques, the efficacy...

Increased production in agriculture is anticipated with localized management that is founded on several analyses of the crops and soil. The following issues arise with this method: it takes a long time because there are a lot of measurement locations, different sensors are needed for different measures and the sun and wind might cause inaccurate da...

In many emerging nations, rapid industrialization and urbanization have led to heightened levels of air pollution. This sudden rise in air pollution, which affects global sustainability and human health, has become a significant concern for citizens and governments. While most current methods for predicting air quality rely on shallow models and of...

Artificial intelligence algorithms are taking important roleplays in online recommendation models for achieving a high probability of success and these systems are slowly occupying modern learning systems. Modernized learning environments are designed based on personalized E-Learning system, due to the availability of enriched content and flexibili...

Wireless Body Sensor Network (WBSN) has gained increasing attention in health monitoring and service sector for real-time health monitoring and providing high-quality service. 6G wireless communication technologies overcome the limitations of the current 5G technology. An intelligent security system that prevents DDoS attack by applying solutions b...

Global supply chains are becoming increasingly intricate, constantly evolving, and spanning across borders. This dynamic nature is beneficial for companies worldwide, facilitating their production and expansion. As someone who is deeply involved in the advancement of supply chain management, I’m excited to witness the transformative impact of emerg...

This chapter embraces an inclusive case study analysis of synergistic assimilation of AI, IoT, and blockchain technologies in the context of supply chain management. The convergence of these cutting-edge technologies has the prospective to revolutionize traditional process of supply chain, enhancing transparency, traceability, and overall efficienc...

Recently, supply chains and sustainability have dominated headlines in the world of business. The relationship between supply chain disruptions and climate change emphasizes the intricacy of supply chains, as well as their significance for achieving the sustainable development goals (SDGs) of the UN by 2030 (Ayan et al., 2022). These include promot...

This chapter explores the transformative potential of blockchain technology in revolutionizing supply chain finance (SCF). Through a framework integrating service-dominant logic and social exchange theory, we analyze the roles of key participants, their motivations, and the resources and practices employed to create value for all stakeholders. We d...

The proliferation of IoT services has spurred a surge in network attacks, heightening cybersecurity concerns. Essential to network defense, intrusion detection and prevention systems (IDPSs) identify malicious activities, including denial of service (DoS), distributed denial of service (DDoS), botnet, brute force, infiltration, and Heartbleed. This...

The Internet of things (IoT) has become a cornerstone of the fourth industrial revolution. IoT sensor devices in the network are provisioned with limited resources, such as little processing speed, minimal computing capacity, and less power. Furthermore, IoT devices are battery-powered, which cannot provide battery sufficiently to some applications...

Cognitive Radio Wireless Sensor Networks (CRWSNs) promise optimized spectrum utilization but face challenges in sustaining energy balance, particularly due to the emergence of “hot spots.” In CRWSNs, Cluster Heads (CHs) closer to the sink experience higher traffic as compared to those farther away, primarily due to their role in data collaboration...

Healthcare and pharmaceuticals are rapidly advancing with technological innovations, and the lack of understanding of AI algorithms poses a significant challenge in these fields. The need for more transparency in AI decision-making processes raises concerns about accountability, ethical implications, and regulatory compliance. As stakeholders in th...

Reliability and trustworthiness are the two pillars of decision support systems deployed in the selection process of automated candidates. The automation should ensure the selection's correctness and the decision's fairness. Conventional models work around fuzzy-based systems, exploiting multi-criteria decision support systems. Here, we propose a p...

In modern healthcare, integrating Artificial Intelligence (AI) and Internet of Medical Things (IoMT) is highly beneficial and has made it possible to effectively control disease using networks of interconnected sensors worn by individuals. The purpose of this work is to develop an AI-IoMT framework for identifying several of chronic diseases form t...

Industrial internet of things (IIoT) is considered as large-scale IoT-based network comprising of sensors, communication channels, and security protocols used in Industry 4.0 for diverse real-time operations. Industrial IoT (IIoT) networks are vulnerable to diverse cyber threats and attacks. Attack detection is the biggest security issue in the IIo...

Description: The integration of artificial intelligence (AI) stands as both a promise and a challenge in the field of healthcare. As technological advancements reshape the industry, academic scholars find themselves at the forefront of a crucial dialogue about the ethical implications and societal repercussions of AI. The accelerating sophisticatio...

The consumption of water constitutes the physical health of most of the living species and hence management of its purity and quality is extremely essential as contaminated water has to potential to create adverse health and environmental consequences. This creates the dire necessity to measure, control and monitor the quality of water. The primary...

The advancement of technology powering e-learning has brought numerous benefits, including consistency, scalability, cost reduction, and improved usability. However, there are also challenges that need to be addressed. Here are some key considerations for enhancing the technology powering e-learning. Artificial intelligence has revolutionized the f...

The burgeoning field of neurodegenerative disease detection and management necessitates the development of robust and comprehensive diagnostic approaches. Existing methodologies often fall short in effectively capturing the complex interplay of brain signals and genetic markers, which are crucial in the early detection and progression tracking of s...

There is an ever-growing need for optimizing efficient nano and quantum communication systems and this demand calls for more advanced optimization techniques than those that have been around for quite some time. The conventional genetic algorithms (GAs) proved to be quite helpful in general but proved to be poor when it comes to fast convergence an...

In the realm of blockchain technology, the quest for scalable and high-quality-of-service (QoS) systems remains a formidable challenge. Existing blockchain models often grapple with trade-offs between efficiency, speed, and security, particularly in the face of growing demands for energy-efficient and swift data processing. This paper introduces an...

Changing technology and the growing demand for workforce intelligence have ushered in a new era of human resource (HR) transformation and have compelled HR professionals to continually ideate, innovate, and adapt. This book covers the changing role of HR in the transformation of workplaces to be successful globally. With challenges come new opport...

Lung cancer is a significant and frequent types of cancer globally both in patients and mortality rate. Computed Tomography (CT) test is efficient for early lung cancer detection due to potentiality in constructing lung images, generating nodules both in high resolution and tumor detection. But, early detection of lung cancer is obtained as difficu...

The cultivation of mushrooms for commercial purposes has had a notable impact on the global economy, as evident from recent agricultural data. The mushroom industry is rapidly becoming one of the most lucrative industries in India and around the globe. This has led to a rise in popularity of mushroom farms and cultivation. The objective of this stu...

The term “cyborg” refers to an organism that has recovered function or, more specifically, enhanced abilities as a result of the integration of artificial components or technology that depends on feedback, such as prostheses, artificial organs, implants, or, in some cases, wearable technology. Cyborgs are not the same as bionics, bio-robotics, or a...