Kamal Kant Hiran

• B.Engg, M.Tech (Gold Medalist), PhD
• Research Fellow at Aalborg University

The transformative influence of information and communication technology (ICT) on the landscape of higher education in Mexico has significantly altered operational processes and labor conditions across nearly all economic sectors, its influence on higher education remained relatively constrained until the year 2019. Our analysis investigates this p...

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...

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 study examines the impact of Climate Change Governance Practices on enhancing Environmental, Social, and Governance (ESG) frameworks to drive corporate success. Utilizing hypotheses derived from existing literature, the analysis employs Smart-PLS to evaluate data from 192 respondents collected through convenient sampling. The findings reveal a...

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...

Blockchain technology has revolutionized various industries, offering decentralized and tamper-resistant data storage and transaction capabilities. However, traditional consensus mechanisms, such as proof-of-work (PoW) and proof-of-stake (PoS), face energy consumption, scalability, and security challenges. This chapter proposes a novel consensus me...

Within the span of just a few short years, artificial intelligence (AI) methods have spread across every facet of modern society. Even though AI models produce results, those results are often not easily explicable. XAI, or “explainable artificial intelligence,” is a rapidly expanding area of study that aims to maximise the clarity of data extracti...

The evolution of Blockchain has revolutionized supply chain activities and has impacted numerous organizational functions. This research investigates the applications of Blockchain in the supply chain management of Indian cement industry. A sample of 285 retail industry suppliers (Delhi/NCR) was taken. The information is gathered using a structured...

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...

To tackle difficulties such as finding similar songs, identifying cultures that would enjoy certain music, conducting surveys and music therapy, Classification and Recognition of Music Genre is necessary. The expansion of music-related content available online has created new opportunities for the development of music referral systems, which suppor...

An affective state of a learner in E-learning has gained enormous interest. The prediction of the emotional state of a learner can enhance the outcome of learning by including designated mediation. Many techniques are developed for anticipating emotional states using video, audio, and bio-sensors. Still, examining video, and audio will not confirm...

Keywords Artificial intelligence Tumours Genetic Machine learning Personalized medicine A B S T R A C T In the field of medicine, artificial intelligence has become a useful tool, particularly in the diagnosis and treatment of disorders with malignant tumours. Deep learning and machine learning algorithms, for example, have significant promise for...

Edge-Based Online Learning (EBOL), a technique that combines the practical, hands-on approach of EBOL with the convenience of Online Learning (OL), is growing in popularity. But accurately monitoring student engagement to enhance teaching methodologies and learning outcomes is one of the difficulties of OL. To determine this challenge, this paper h...

Artificial intelligence (AI) techniques, particularly those in machine learning (ML), have been successfully applied in various areas, leading to widespread belief that AI will collectively play an important role in future wireless communications. Risks associated with the utilisation of cloud components during service delivery can be mitigated thr...

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...

The traditional technologies and digital systems of managing and maintaining data are inherently prone to manipulation at various levels. Ensuring the anonymity of the patient's identity, the safety of the medical records, and preventing the patient data from accidental and intended manipulations have been the industry's biggest challenges for deca...

ChatGPT is a state-of-the-art language model developed by OpenAI. It is part of the GPT (Generative Pre-trained Transformer) series, which are designed to generate human-like language output based on large amounts of input data. ChatGPT is one of the largest and most advanced language models to date, with 175 billion parameters. The article aims to...

Business intelligence (BI) is no longer adequate to handle the day-to-day operations of any firm considering the ever-increasing volume of data and the resulting overload. As the amount of data grows, it becomes increasingly difficult to evaluate, making the introduction of a decision-making methodology that can be described as real-time BI, very t...

The Internet of Things (IoT) continues to proliferate through an increasingly connected world, with more smart devices generating vast amounts of data with significant potential to enable intelligent automated decision making across application domains. This bibliometric study comprehensively reviews global literature related to IoT technologies fo...

Nowadays, the realm of civil engineering has expanded to encompass Internet of Things (IoT) technologies, which can contribute to making sustainable, high-performing, and durable buildings. These innovative techniques allow for monitoring concrete structures and developing inspection and maintenance plans to ensure their long-term integrity. By lev...

An innovative imaging research is expected in the medical field due to the challenges and inaccuracies in diagnosing the life-threatened harmful tumours. Brain tumor diagnosis is one of the most difficult areas of study in diagnostic imaging, with the maximum fine for a small glitch given the patients survival rate. Conventionally, biopsy method is...

Brain tumors are among the most dangerous diseases that lead to mortality after a period of time from injury. Therefore, physicians and healthcare professionals are advised to make an early diagnosis of brain tumors and follow their instructions. Magnetic resonance imaging (MRI) is operated to provide sufficient and practical data in detecting brai...

Today, most governments in the world are considering establishing smart cities that work through the use of the latest technological means. Where smart cities are considered economically, socially and environmentally sustainable cities as they have the ability to develop sustainable development, increase the quality of life of citizens, increase th...

Health care system, lifestyle, Industrial growth, economy and livelihood of human-beings worldwide effected due to triggered global pandemic by COVID-19 virus originated and first reported from Wuhan city, Republic Country of China. COVID cases are difficult to predict and detect on its early stages due to that its spread and mortality is uncontrol...

COVID-19 has sparked a global pandemic, with a variety of inflamed instances and deaths increasing on an everyday basis. Researchers are actively increasing and improving distinct mathematical and ML algorithms to forecast the infection. The prediction and detection of the Omicron variant of COVID-19 brought new issues for the health fraternity due...

Deep learning techniques have become vital in many fields in the modern era because they are excellent at analysing and predicting real big data to act in different situations. Although it is marvellous in many aspects, it is prone to misinterpretation of data, so teams of experienced specialists cannot be dispensed with in following up on the exec...

Today, humans live in the era of rapid growth in electronic devices that are based on artificial intelligence, including the significant growth in the manufacture of machines that perform intelligent human tasks to solve complex situations. Artificial intelligence will significantly influence the development of many domains, especially the medical...

This research aims to probe the factors that influence patients' adoption of IoT for Healthcare 4.0. A research framework based on the Unified Theory of Acceptance and Use of Technology (UTAUT) has been developed by endorsing six hypotheses. A sample of 290 patients is used to determine the purpose of using IoT gadgets in the clinical background. A...

English poet Samuel T. Coleridge wrote “O! lady, we receive but what we give? And nature alone lives in our lives.” The Earth is one, but nations are not. New technology, especially blockchain paves the way toward a global village. This chapter analyses the ultimate solution to the global warming issue through the introduction of green currency bas...

Quantum-resistant blockchains refer to cryptographic processes that are resistant to attacks via quantum computers. Present public-key algorithms depend on the difficulty of deciphering the discrete log and factorization problem of large prime numbers. Shor's algorithm can be used to break the hash signatures by quantum computers. Therefore, it is...

Description: The amalgamation of post-quantum cryptography in cyber-physical systems makes the computing system secure and also generates opportunities in areas like smart contracts, quantum blockchain, and smart security solutions. Sooner or later, all computing and security systems are going to adopt quantum-proof cryptography to safeguard these...

Cancer is the foremost cause behind the most death pace of people around the world. Cancer of breast is the primary reason for mortality among females. There have been various investigation or experimentation aimed at the discovery and interpretation of facts has been done on early expectation and discovery of breast cancer disease to begin treatme...

Aims The goal of economic expansion, which ignores social welfare and environmental restrictions, has been supplanted in the business environment. The paper investigates how corporate environmental sustainability affects sundry parts of a company's performance. The study question is dichotomized into two segments. Firstly, examine the effect of sel...

The education system has been brought to a halt due to pandemics around the globe. This study outlines the effect of Covid-19 on the teaching-learning perception of faculties and students of higher education in India. The recent pandemic has provided an impetus for the improvements in teaching and implementation of virtual education. Given the lack...

This book explains the application of Artificial Intelligence and Internet of Things on green energy systems. The design of smart grids and intelligent networks enhances energy efficiency, while the collection of environmental data through sensors and their prediction through machine learning models improve the reliability of green energy systems.

Due to the importance of renewable energy in today’s world, this book was designed to enhance the reader’s knowledge based on current developments in the field. For instance, the extraction and selection of machine learning algorithms for renewable energy systems, forecasting of wind and solar radiation are featured in the book. Also highlighted ar...

The study aims to identify modes of fraudulent payments and create awareness of such incidences to avoid decisive virtual activities. Disruptive developments such as contactless payments, mobile payments, and e-cloud payments witnessed a large-scale data breach. As a result, new fraud pathways have emerged and made traditional detection technologie...

We live in an era of smart phones, and the number of smart phone users is growing by the day, resulting in a rapid increase in the number of people with access to the internet and social media. According to reports, the average person spends about five hours per day on his or her mobile phone. This extensive use of phone and internet had a signific...

This study examines factors influencing patients' adoption of the IoT for e-Health Management System (e-HMS). A conceptual framework is built by applying the Unified Theory of Acceptance and Use of Technology (UTAUT) model to achieve the research objectives. The constructs viz. performance expectations, perceived healthcare threat, facilitation, an...

The study assessed the factors that influence the adoption of blockchain (BC) in Ghana's public procurement delivery. The study adopted correctional design and utilized the extended unified theory of the acceptance and use of technology (UTAUT2) as the conceptual basis to determine whether performance expectancy (PE), behavioral intent (BI), effort...

Smart sensing technology has been playing tremendous roles in digital healthcare management over time with great impacts. Lately, smart sensing has awoken the world by the advent of Smart Face Masks (SFM) in the global fight against the deadly Coronavirus (Covid-19) pandemic. In turn, a number of research studies on innovative SFM architectures and...

Vibration signal processing is one of the most efficient techniques for the collection of data using the sensors. Nowadays, development in wireless sensors and its network technologies gives a better platform to evaluate condition assessment of bridge structures remotely based on cloud-based data collection using industry 4.0 concept. This techniqu...

This book will focus on the use of Blockchain 3.0 for sustainable development. This tool is invaluable for achieving transparency and trust, but possibilities to benefit society more broadly are emerging that will bring a bright future for sustainable development, too. The adoption of blockchain in agriculture, healthcare, infrastructure, education...

Cloud computing has become an emerging IT platform for productive services and efficient use of innovation in higher education. The purpose of this research study is to investigate the factors that influence the adoption of cloud computing in Sub-Saharan Africa under Ethiopian higher education. These factors professed to influence the adoption of c...

The aim of this research is to explore the sociocultural and economic factors involved in the adoption of emerging technology, i.e., the cloud at the University in Ethiopia. Organizations’ growth and development depend on the various factors that influence productivity and efficiency to improve the work culture. The data collected from the relevant...

Education institutions across the country are discontinued because of a countrywide lockdown initiated by the administration to restrain the dissemination of COVID-19. To make sure the continuity of learning, many institutions (domestic, national, international) commenced a secure and healthy contactless environment for teachers and students. There...

A Wireless Sensor Network (WSN) is of paramount importance in facilitating smart Agricultural Internet of Things (Agri-IoT). It connects numerous sensor nodes or devices to develop a robust framework for efficient and seamless communication with improved throughput for intelligent networking. Such enhancement has to be facilitated by an adequate an...

The successful service allocation is a result of the successful decisions made by the Cloud Service Provider. The decision must be effective and on time, for survival, to get competitive advantages and to increase profitability of an organization. In this scenario, the increasing number of Cloud Service Providers posts the challenge to measure the...

Emerge of Smartphone technology has changed the way of communication and processing the data. These smart phones can perform peculiar thing which was only limited to calling and texting previously. This work presents the reverse engineering of the Android application which is the one of the most prominent Smartphone technology based on the Linux ke...

In this book, Principles, Paradigm frameworks, and Applications of IoT (Internet of Things) in the modern era are presented. It also provides a sound understanding of the IoT concepts, architecture, and applications, and improves the awareness of readers about IoT technologies and application areas. A key objective of this book is to provide a syst...

The optical fibre is backbone of the photonics technologies. The multicore fibre has removed the limitation of the single mode fibre for high frequencies rangeTHz. Different designs are the MCF have been reported. The new design of the multicore fibre with combined square and circular core. This innovation will have the advantages of the square cor...

. The successful service allocation is a result of the successful decisions made by the Cloud Service Provider. The decision must be effective and on time, for survival, to get competitive advantages and to increase profitability of an organization. . In this scenario, the increasing number of Cloud Service Providers post the challenge to measure t...

This research paper describes an integrated framework based on both the ‘Technology–Organization–Environment (TOE) framework’ and ‘Diffusion of Innovation (DoI) theory’. The study explores the noteworthy factors and sub-factors which are pertinent for the adoption of cloud computing in the Ethiopian Higher Education (EHE) sector. The technology lit...

Call for Book Chapters “Machine Learning and Deep Learning in Real Time Applications” Proposal Submission Extended Deadline: 3rd September, 2019 To be published by IGI Global: https://www.igi-global.com/publish/call-for-papers/call-details/4161

Modwith the advent of Internet, there is a complete paradigm shift in the manner We comprehend computing. Need to enable ubiquity, convenient and on-demand access to resources in highly scalable and resilient environments that can be remotely accessed, gave birth to the concept of cloud computing. The acceptance is so rapid that the notion influenc...

Adoption of technology and Higher Education are two major driving forces, especially for emerging economies. Cloud computing is one such technology which is not only transforming enterprise businesses but also higher education. Adoption of cloud computing in the primary, higher and research-oriented education is playing an important role as far as...

obile Cloud Computing (MCC) is an emerging research topic in the world of Information Technology, this trend promises to deliver and promote a wide range of advantage to it anxious markets or clients. With MCC, all the applications that exist are on a remote server enable the individual client machines or devices to access them. Mobile Cloud Comput...

era of Technological age also called digital age, most transactions are conducted electronically. This modern-day paradigm makes way for the possibility of harmful unanticipated information security breaches of both civil and criminal nature. However, there is a tremendous knowledge gap in the legal system concerning computer/digital forensics with...

The imaging plays a central role in the diagnosis of brain tumors. An efficient algorithm is proposed in this paper for brain tumor detection based on digital image segmentation. Brain tumor may be considered among the most difficult tumors to treat, as it involves the organ which is not only in control of the body. We proposed an Artificial Neural...

In this paper, a secure digital image watermarking Algorithm is proposed to protect the digital images from illegal copying; based on this; quality will be managed by PSNR (Peak Signal to Noise Ratio) and MSE (Mean Squared Error). In the field of digital image processing digital piracy is the important phenomenon. With the exponential growth of int...