Browse Items (2832 total)
Sort by:
-
Blockchain-Based Digital Twin for Predictive Maintenance of Machines Using Machine Learning
Digital Twin (DT) is a software replica of the physical asset or process that serves the automobile industry by empowering engineers and data scientists to gain a deeper insight into the system and solve the biggest challenges with less time and cost. Blockchain technology is an evolving and promising technology that foresees providing surveil -lance facilities for DTs, resulting in firming up security and improving the openness, reliability, and unchangeability of DTs. By incorporating intellectual behavior in blockchain-based DTs, the functions of machines can be governed parallelly, and the major maintenance activities can be predicted effectively. This chapter explores the design of various frameworks using recent technologies. Some of them are DTs, blockchain, artificial intelligence, and the Internet of Things which drive resolution in the industry to minimize the governing cost of machines. 2025 by Apple Academic Press, Inc. -
Applications, Enabling Technologies, Vision of Edge Artificial Intelligence for 6G
The advancement in applications of artificial intelligence technologies that propels the ongoing development of wireless networks. Envisioned as a transformative force, 6G is expected to shift wireless evolution from connecting devices to enabling intelligent connections. However, cutting-edge AI systems relying on deep learning and extensive data analytics demand significant computational and communication resources, leading to notable issues such as privacy breaches, network congestion, energy consumption and latency during both inference and training phases. Edge AI emerges as a disruptive technology for 6G by incorporating inference capabilities and model training at the networks edge. This approach seamlessly integrates intelligence, computation, communication and sensing enhancing the security, privacy, effectiveness and efficiency of the 6G technologies. The study includes the applications, enabling technologies dependable and scalable edge AI technology through an integrated approach that encompasses decentralized models of machine learning and strategies of wireless communication. We will delve into new wireless network design principles, optimization methods for resource allocation driven by service requirements, and an all-encompassing architecture of end-to-end system supporting edge AI. Additionally, we will touch upon application scenarios, hardware and software platforms, and standardization for facilitating the commercialization and industrial adoption of edge AI systems. 2025 Apple Academic Press, Inc. -
Industry 4.0 and Sustainable Supply Chain: An academic review, emerging trend & analysis with future agenda and case study
The fourth industrial revolution, known as Industry 4.0, is characterized by integrating advanced digital technologies such as cyber-physical systems, Internet of Things (IoT), blockchain, and artificial intelligence (AI). These technologies are significantly transforming various sectors, including the pharmaceutical industry. Industry 4.0 technologies offer immense potential for enhancing the efficiency, transparency, and sustainability of supply chains. The integration of advanced digital technologies known as Industry 4.0, including cyber-physical systems, IoT, and AI, is reshaping diverse industries towards greater sustainability. This study uses a case study methodology to explore the effects of Industry 4.0 on creating more sustainable supply chains across these sectors. 2026 selection and editorial matter, Pantea Foroudi, Maria Palazzo and Satyendra Upadhyay; individual chapters, the contributors. -
The Integrated Approach of ESG, SDGs, and Sustainable Finance
In recent years, sustainability has emerged as a popular buzzword. The practice of considering Environmental, Social and Governance (ESG) factors when making investment decisions in the financial industry is known as sustainable finance and it results in longer-term investments in sustainable projects and economic activities. Sustainable Development Goals (SDGs) also play a crucial role in the adoption of sustainable practices. Investing in companies and projects that use sustainable ESG practices is already becoming more popular and there is a rising need for finance experts with knowledge of this emerging but specialized area. Stakeholder demands and regulations with an environmental focus will increase pressure on organizations to set public climate-related goals. This study tries to find out the interrelationship between ESG, SDGs and Sustainable Finance. This study also explores popular sustainable finance products available to organizations and the challenges organizations face with sustainable financing. 2026 by Nova Science Publishers, Inc. -
Sustainable Finance and ESG Investing: A Blueprint for Future Growth in Indias Banking Sector
The paper focuses on sustainability transformation in banking, notably through environmental, social, and governance (ESG) investing. Today, completely profit-focused banks are gradually incorporating sustainability into their basic functions. This is consistent with global initiatives, namely the Paris Agreement, besides the United Nations Sustainable Development Goals. This reflects a deeper understanding that financial activity must be environmentally friendly and socially responsible. With that, banks can now appraise if the banks investment is profitable, good, and sustainable. Reserve Bank of India, being the regulatory authority in India, with the help of the Securities and Exchange Board of India, has also been supportive by laying certain rules that enforce transparency of ESG practice, encouraging green bond issues. Thus, regulations are seen as bringing Indian banks close to world standards and promoting this sustainability culture. The paper also draws upon the importance of integrating ESG factors into risk management systems to mitigate any financial risks that could stem from environmental and social concerns. It further argues that although ESG practices will be beneficial in improving financial performance, their impact does differ by component and should, therefore, be adopted while working in emerging economies such as India. 2026 by Nova Science Publishers, Inc. -
Possess Thorough Knowledge of Zero Trust Principles
In todays ever-evolving cybersecurity landscape, the traditional perimeter based security model is no longer sufficient to protect organizations from advanced threats and breaches. The Zero Trust framework has emerged as a paradigm shift in security strategy, focusing on the fundamental principle that trust should never be assumed, even within a networks boundaries. This abstract explores the foundational concepts of Zero Trust, emphasizing its core principles and components. Zero Trust security is rooted in the belief that organizations should not automatically trust any user or device, whether inside or outside the corpo rate network. This approach challenges the traditional trust but verify model and replaces it with a never trust, always verify philosophy. The Zero Trust model is designed to enhance security by continuously validating the identity and security posture of users, devices, applications, and data. 2026 by Apple Academic Press, Inc. -
A Comprehensive Review of IoT, Intelligent Systems, and Computing Applications in Enhancing Renewable Energy Sources
This chapter provides a thorough examination of the application of the Internet of Things (IoT), intelligent systems, and advanced computing in enhancing the effectiveness and sustainability of renewable energy sources such as wind, ocean, hydro, and solar energies. This study explores the incorporation of real-time monitoring, predictive maintenance, and energy forecasting facilitated by the Internet of Things (IoT) and intelligent systems. The integration of artificial intelligence (AI)-based analytics and cloud computing methodologies significantly improves the process of decision-making, grid management, and optimization of energy storage. This analysis highlights the significant impact of recent technological breakthroughs and case studies on the transformation of renewable energy generation and management, ultimately contributing to the development of a sustainable and intelligent energy landscape. 2026 River Publishers. -
FORCASTING DEPLOYMENT OF WEB FORENSICS TO AVERT MISINFORMATION SPREAD USING WEFA TOOL
As fake news or misinformation is becoming more prevalent, it is distorting people's understanding and decisions by influencing their perceptions and knowledge. Since long before the Internet, misinformation and hoaxes have existed. News outlets and social media websites publish false news to increase readership or as a psychological warfare tactic, especially during times of crisis, such as the COVID-19 pandemic. Social networks gener ated large amounts of multimedia data due to the ubiquitous nature of social media platforms. Misinformation, also called rumors, may cause severe damages due to its unverified nature. Let me start by saying there is a big problem of fake news currently affecting societies, nations, and individuals. For example, a fake news story about alleged medicine in the United States or Brazil was part of the COVID-19 pandemic (e.g., misinformation on fake medicines); misinformation has negatively impacted democratic elections and the statuses of individuals and organizations. Misinformation must be addressed; and we have to find reliable solutions that are agile and reliable. In this sense, it provides a serious assessment of the current knowledge state in misinformation detection, both in order to describe probable solutions as well as to inspire upcoming research. Our study is extended to focus on means to avert this misinformation spread with the help of forensic web based tools along with ML that can extend its application to identifying systems and websites responsible for this malicious attempt. 2026 by Apple Academic Press, Inc. -
The sustainable environment in Ajman: A journey towards a green future in the United Arab Emirates
Ajman, a rapidly developing emirate in the United Arab Emirates, is embarking on a journey toward a sustainable future amidst environmental challenges. This paper explores the current environmental situation in Ajman, analyzing challenges such as pollution, waste management issues, resource depletion, and impacts of climate change. It evaluates ongoing environmental innovation initiatives, including projects addressing these challenges and their impact on the local environment. Additionally, the paper examines the latest environmental technologies and innovations deployed in Ajman, along with efforts to promote environmental awareness among the local community. Furthermore, it delves into partnerships between the government and private sectors and international collaborations to advance sustainability goals. Finally, the paper identifies future challenges and development opportunities, reviews existing environmental policies and legislation, and provides recommendations for fostering a greener and more sustainable future in Ajman. 2025 by Nova Science Publishers, Inc. All rights reserved. -
SECURE VIDEO SURVEILLANCE SYSTEMS FOR PERSON REIDENTIFICATION USING ELLIPTIC CURVE CRYPTOGRAPHY
This chapter explores the challenges associated with person reidentification in nonoverlapping multi-camera surveillance setups, considering the wide spread use of video surveillance in public spaces. Automated techniques are crucial to handle the large amounts of data from video surveillance. The topic focuses on person detection and reidentification, addressing challenges like changes in size, pose, and background. Various methods for person reidentification are explored, emphasizing the importance of soft biometric details for accurate identification. Elliptic curve cryptography (ECC) is considered as a secure method for ensuring privacy and data integrity in surveillance systems. ECC's efficiency is highlighted in comparison to RSA, showcasing its ability to provide equivalent security with shorter key lengths, reducing computational requirements. The study employs adaptive background detection, Kalman filtering for multiple object tracking, and a CNN-based deep learning model for pedes trian image classification. Encryption using ECC secures the transmitted data, and at the receiver end, the images undergo decryption, classification, and feature extraction for person reidentification. 2026 by Apple Academic Press, Inc. -
AI-SECURED VISITOR MANAGEMENT SYSTEM
In general, there are so many organizations using the conventional paper log book to record the access of the visitors. This conventional method takes longer time if the number of visitors exceeds the limit. Meanwhile, security issue should be a main concern if there is an increase in the number of visi tors. This is mainly due to the operators who take a long time to verify the identification of each and every visitor when there is huge number of visi tors entering the premises. Moreover, paper log is inadequate to efficiently retrieve and archive the data after several years. This report mainly discusses about the design and implementation of Visitor Management System using Internet of Things (IoT) and Artificial Intelligence (AI). Visitor management system is a security system which is used to track visitors activities in an organization or public building. ESP32 AI Thinker is used to collect the live stream video. Face detection and identification of visitors can be achieved through Artificial Intelligence (AI). With the help of IoT, we can remote access the system for visitor monitoring. The visitors information gets stored into a cloud server which helps the user to view the visitors details on mobile phone at any time. With the help of an API, the user can control the access of a visitor into the premises through notification alerts. A website has been created in order to store the details of visitors such as photograph, arrival time with the help of dijango web application frame work and bootstrap for user interface. DigitalOcean is the cloud server which is used to store the database. To get the notifications on mobile phone, a Telegram BoT API has been created in Telegram app. This BoT also saves the arrival time and photo of the visitor. With the help of this, the user will also be notified whenever a suspicious activity occurs in the premises. This IoT networked contact less security system offers improved security. AI secured Visitor Management System is the best solution to overcome the problems existing in the conventional method as it is the easy way to identify and record the information of a visitor. 2026 by Apple Academic Press, Inc. -
AI-SECURED VISITOR MANAGEMENT SYSTEM
In general, there are so many organizations using the conventional paper log book to record the access of the visitors. This conventional method takes longer time if the number of visitors exceeds the limit. Meanwhile, security issue should be a main concern if there is an increase in the number of visi tors. This is mainly due to the operators who take a long time to verify the identification of each and every visitor when there is huge number of visi tors entering the premises. Moreover, paper log is inadequate to efficiently retrieve and archive the data after several years. This report mainly discusses about the design and implementation of Visitor Management System using Internet of Things (IoT) and Artificial Intelligence (AI). Visitor management system is a security system which is used to track visitors activities in an organization or public building. ESP32 AI Thinker is used to collect the live stream video. Face detection and identification of visitors can be achieved through Artificial Intelligence (AI). With the help of IoT, we can remote access the system for visitor monitoring. The visitors information gets stored into a cloud server which helps the user to view the visitors details on mobile phone at any time. With the help of an API, the user can control the access of a visitor into the premises through notification alerts. A website has been created in order to store the details of visitors such as photograph, arrival time with the help of dijango web application frame work and bootstrap for user interface. DigitalOcean is the cloud server which is used to store the database. To get the notifications on mobile phone, a Telegram BoT API has been created in Telegram app. This BoT also saves the arrival time and photo of the visitor. With the help of this, the user will also be notified whenever a suspicious activity occurs in the premises. This IoT networked contact less security system offers improved security. AI secured Visitor Management System is the best solution to overcome the problems existing in the conventional method as it is the easy way to identify and record the information of a visitor. 2026 by Apple Academic Press, Inc. -
Application of Artificial Intelligence for Enhancement of Privacy and Security in Smart Environment
With the advancement of urbanization, city public privacy and security are growing increasingly crucial. City public privacy and security is not just the basis of environmental growth, but also the primary assurance for the long-term security of inhabitants existence. The idea of a smart environment is continually being explored in the present-day artificial intelligence (AI) setting. Urban public privacy and security have also introduced novel issues and difficulties. To objective of this paper is to employ AI innovation to create an effective public privacy and security data resources management platform in a smart environment. One of the main objectives of the study of AI was to allow systems to execute complicated activities that would ordinarily need human intellect. In this paper, the neural network (NN) data processing technique was used. As indication statistics, variables impacting urban public privacy and security were evaluated. The feed forward back-propagation NN (BPNN) was utilized in this study to anticipate indices statistics in real-time, which enabled the administration tasks of risk surveillance and initial alert of public privacy and security data indications to be accomplished. The outcomes indicated that the BPNN method had a mean prediction performance of roughly 89% for indication prediction, which was 16.1% points greater than the conventional NN method. The BPNN methods mean hazard alert accuracy pace was 90.3%, which was 16.5% greater than that of the typical NN method. This demonstrates that the BPNN method used in this study, which employs AI innovation, can perform advanced alerting of threats and administration of urban public privacy and security more effectively and precisely. 2025 Apple Academic Press, Inc. -
ONLINE CUSTOMERS PURCHASE INTENTIONS CLASSIFICATION USING HYBRID XGBOOST MACHINE LEARNING MODEL AND ITS SECURITY CONCERNS
With technology advancing rapidly and data growing at an unprecedented rate, e-commerce businesses are gathering extensive customer informa tion. Yet, many organizations struggle to fully leverage this data. Grasping customer behaviour is vital for businesses aiming to create effective marketing strategies, boost product visibility, and drive sales. Several factors affect consumer purchasing decisions, including search history, time spent viewing products, bounce rates, and demographic details like age, gender, and income. This study investigates the key elements influencing customer behaviour and investigates data mining techniques to enhance revenue predictions. A major challenge in e-commerce is converting website traffic into actual sales. Attracting visitors alone does not ensure revenue. To tackle this issue, classification techniques are used to assess the likelihood of a purchase based on user interactions. Furthermore, while artificial intel ligence and machine learning have revolutionized e-commerce analytics, security issues persist. Adversarial attacks on machine learning models can create risks, making security a critical consideration. This research offers a thorough analysis of classification techniques for evaluating business revenue generation. It also examines ways to improve model accuracy while addressing security weaknesses. The findings aim to enhance e-commerce decision-making, customer targeting, and overall business growth. 2026 by Apple Academic Press, Inc. -
REVOLUTIONIZING HR: AI-DRIVEN TRANSFORMATION IN TALENT ACQUISITION, DEVELOPMENT, AND MANAGEMENT
Introduction: Organizations in the knowledge-based industry depend on intellectual capacity, where key talent plays a major role in their success and business sustainability. Human resource (HR) management, in its traditional form involves labour-intensive processes and practices that are prone to unconscious bias, inadequate retention measures and diversity issues creating significant challenges in talent management. Purpose: The study brings to the fore a multi-stakeholder outlook that makes the adoption of artificial intelligence (AI) very lucrative. This study aims to highlight the capabilities of AI that address its limitations and retain a human-centric approach. Scope: The study encompasses the whole gamut of talent management lifecycle, starting from recruitment automation initiatives to onboarding, career planning and development, employee engagement, performance management, and succession planning in large global organizations. Methodology: The authors carried out an extensive review of the literature and analysis of use cases encompassing the use of AI and its implementation strategies, outcomes, and best practices, spanning the myriad talent acquisition and management functions. Findings: About 40% of large organizations have plans to invest in AI-enabled skills management solutions by 2028. AI-driven talent analyticshaveenabledbettercandidateassessment,hiringbiaseshave significantly reduced, and retention rates have increased an 82%. Significant workload savings, enhanced prediction capabilities, and improved accuracy across talent management processes are some of the other benefits of AI-enabled talent management solutions. AI usage has enhanced HR professionals efficiency, leadership has improved their decision-making capabilities, and employees have experienced increased opportunities for personal and professional development. Individual chapters 2026 The authors. -
Rays Women and Sartorial Choices: Exploring Through Colonial and Feminist Perspective
[No abstract available] -
Employing Artificial Intelligence and Automation in Sustainable Development Research
The rise of artificial intelligence (AI) and its increasingly widespread influence across various sectors necessitates an evaluation of its impact on the attainment of Sustainable Development Goals (SDGs). Industrialized nations have reaped the benefits of 21st-century technologies, particularly automation, which has fundamentally transformed the manufacturing and industrial production processes. The next evolutionary phase in automation is the advent of AI, characterized by machines and systems demonstrating intelligence, not only capable of performing tasks but also collaborating synergistically with humans and the environment. Among its myriad contributions, AI is poised to enhance development, foster sustainable resource utilization, and facilitate effective waste management. Intelligent systems are set to reshape various domains, including transportation, precision agriculture, biodiversity conservation, environmental modeling, public health, construction, manufacturing, and initiatives aimed at fostering prosperity on Earth. These systems will possess the ability to perceive, analyze situations, and responsively react to real-time cues such as human gestures, facial expressions, and the movement of pedestrians crossing busy streets. This research delves into the intricate relationship between AI systems and the objectives of sustainable development (SD). 2025 by Apple Academic Press, Inc. -
Employing Artificial Intelligence and Automation in Sustainable Development Research
The rise of artificial intelligence (AI) and its increasingly widespread influence across various sectors necessitates an evaluation of its impact on the attainment of Sustainable Development Goals (SDGs). Industrialized nations have reaped the benefits of 21st-century technologies, particularly automation, which has fundamentally transformed the manufacturing and industrial production processes. The next evolutionary phase in automation is the advent of AI, characterized by machines and systems demonstrating intelligence, not only capable of performing tasks but also collaborating synergistically with humans and the environment. Among its myriad contributions, AI is poised to enhance development, foster sustainable resource utilization, and facilitate effective waste management. Intelligent systems are set to reshape various domains, including transportation, precision agriculture, biodiversity conservation, environmental modeling, public health, construction, manufacturing, and initiatives aimed at fostering prosperity on Earth. These systems will possess the ability to perceive, analyze situations, and responsively react to real-time cues such as human gestures, facial expressions, and the movement of pedestrians crossing busy streets. This research delves into the intricate relationship between AI systems and the objectives of sustainable development (SD). 2025 by Apple Academic Press, Inc. -
DIGITAL FORENSICS ANALYSIS FOR ADVERSARIAL ATTACKS IN AI-BASED SYSTEMS
Digital forensics investigation is a field of science that focuses primarily on the recovery and examination of devices. The digital forensics or cyber forensics was primarily used for computer-based forensics. Artificial intel ligence (AI for short) is a group of computational models that use the black box-based technology of the neural network (NN) such as classification, prediction, and optimization tasks for various applications, such as computer vision, medical imaging, natural language processing, and autonomous vehicles. Cyber Forensics such as robotics, deals with a class of problems in which computational models are manipulated due to intentional malfunction such as adversarial attacks, back-end kind of attacks. This study is aimed to investigate attacks on AI. It also describes conceptual attack strategies using AI and digital forensics tools. The main purpose of this work is to provide a comprehensive analysis of malicious AI-based attacks and different types of classifiers. Two main factors were considered when testing attacks on AI-based systems: (1) Use AI to create inputs that reveal different attacks, or (2) Adjust attacker-specific attacks from different threat models and parameters. 2026 by Apple Academic Press, Inc. -
NUTRACEUTICALS IN PREGNANCY
Pregnancy is a phase in womens lives wherein they experience some physiological and bodily changes. In this period dietary supplements are crucial to meet the nutritional demand of the fetus and also to overcome certain gestational complications such as hypertension, diabetes, and anemia. Generally, the intake of micronutrients in the diet is low for women especially in developing countries while it becomes important during pregnancy as they enable uterus and placental growth, manage gestational obesity, and also avoid miscarriage. Research and clinical studies are in power in identifying various safe, plant bioactive substances, and efficient delivery systems to reduce morbidity and mortality rates of maternal, fetal, and neonatal. In recent years the growing awareness of nutraceuticals to fight against chronic diseases such as cancer, and heart disease has gained trust globally and is replacing pharmaceuticals. Knowledge of the macro- and micronutrients is necessary to modify the diet and supplement with nutraceuticals for the well-being of the mother and the fetus. The current chapter highlights the major health complications associated with pregnancy and the essential nutrients required during pregnancy and fetal growth with substantial clinical evidence. 2025 by Apple Academic Press, Inc.