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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. -
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. -
SECURITY VIEWPOINT IN ARTIFICIAL INTELLIGENCE-BASED SYSTEMS
Artificial intelligence (AI) is playing a key role in recent times linked with automation in almost all the fields on human interference and inventions. Industry 4.0 also signifies automation as one of the major aspects from its allies. However, on the other hand, issues and security concerns are at high priority in these systems and often are seen ignored as the AI systems are evolving as state-of-the-art technology. In this chapter, we focus on elaborating security vulnerabilities in AI-based infrastructure, explain the relation between AI attacks and cyber-attacks, and describe the sustained AI systems with inherited resilience. Case study is also considered to elicit threats and vulnerable issues associated with AI-based systems. Securing artificial intelligence and its associated techniques help in better outcomes which are tightly coupled with human monitored and controlled environments. AI algorithms need to be checked for accuracy in prediction model contexts on the evolution of technology for sustaining adversarial attacks. 2026 by Apple Academic Press, Inc. -
OCCUPATIONAL AND DIVERSITY INTELLIGENCE: UNLOCKING TALENT IN THE DIGITAL ERA
innovations, and their implications for talent management and organizational success. Design/methodology/approach: This chapter guides the shaping of future research agendas by converting qualitative analysis into empirical and quantitative analysis, laying the foundation for integrating the concepts of OQ and DQ within the proposed conceptual framework to retain talent in the digital era. The current chapter follows a narrative review approach to synthesize the existing literature. Findings: The current chapter highlights the role of OQ and DQ in the digital era, as well as their key elements, which will empower various stakeholders with actionable insights. It offers valuable insights as a benchmark for strategic decision-making for meaningful work that would result in effective organizational development (ODV). Introduction: In todays workplace culture, organizations, and HR professionals have a strong case for embracing diversity and inclusion (D&I) to enhance talent management. Occupational intelligence (OQ), when linked with diversity intelligence (DQ), can pave the way for effective individual development and organizational success. When integrated with the expanding use of artificial intelligence (AI), the synergy between these two carries the potential for creating future-ready workplaces. Purpose: Several studies highlight the role of emotional, social, cultural, and workplace intelligence and their impact on occupational success. There has been a conspicuous absence of studies that unravel the evolution of OQ and the future scope of integration with DQ in the digitalized world, which needs attention. Scope: The study would deepen the understanding of the evolving landscape of OQ and DQ, as well as industry trends and Individual chapters 2026 The authors. -
FinTech for Sustainable Financial Market Innovation: The FinTech Transformation of Traditional Finance
Fintech is transforming the traditional banking industry, resulting in creative solutions that enhance financial market sustainability. This section examines how financial technologies like blockchain, AI, mobile banking, and digital payment systems are changing banking operations to make them more transparent, efficient, and accessible. It also examines how Fintech may drive long-term financial innovation by increasing financial inclusion, lowering operating costs, and encouraging green banking activities. This chapter uses case studies and practical examples to investigate the influence of Fintech on the banking system, emphasizing green lending, digital currencies, and sustainable investing platforms. Adopting new technology presents operational and regulatory problems for banks. The global financial system is becoming increasingly dependent on sustainability, as seen by how banks use Fintech to meet the growing demands of ESG standards. This section examines how digital banking platforms, AI risk assessment algorithms, and blockchain green bonds might help banks allocate resources more responsibly. By adopting these technologies, banks can reduce their environmental impact while meeting the rising demand for ethical and accountable financial services. 2026 Nova Science Publishers, Inc. -
Behavioral Biases in Financial Markets: Understanding the Impact of Cognitive Heuristic-Driven Biases and Emotional Biases in Shaping Investment Decisions
Conventional finance theories believe that the stock market is organized and that stock valuations provide all relevant facts. On the other hand, behavioral finance theories argue that stock valuations can be affected by behavioral biases, explicitly cognitive heuristic-driven biases and emotional biases. The stock market displays the current wellness of an economy, and investment decisions represent it. Investors unveil irrational actions in their investment decision strategies. The investment decision strategy itself is a cognitive procedure, as stock investors must form decisions informed by several possibilities that are available to them. This chapter provides theoretical underpinnings and an overview of the effect of behavioral biases on investors investment decision-making. This research provides an in-depth insight into cognitive heuristic-driven biases (Illusion of Control, Hindsight, Conservatism, House Money Effect, Self-Attribution, Gamblers Fallacy, Confirmation, Recency, Familiarity, and Religiosity) and emotional biases (Disposition Effect, Loss Aversion, Regret Aversion, Risk Perception, and Mental Accounting) impact investment decisions. The implications of this study could be helpful for financial markets and institutions as well as practitioners, such as equity investors and traders, portfolio and asset managers, securities analysts, wealth advisors, money managers, securities bankers, and brokers. In addition, it benefits regulators, policymakers, academicians, and researchers. The overall chapter offers a positive impact between behavioral biases and investment decisions, with distinct themes from earlier research, and contributes to generalization. Copyright 2026 by Nova Science Publishers, Inc. -
Community Empowerment through Technology
A UN report estimated that 10% of people on the planet will experience chronic hunger by 2022, with a large share of those people coming from rural origins. In Manipur, a Northeastern state of India characterized by hilly terrain and sparse population, predominantly inhabited by Nagas and Kukis tribes, urban migration threatens to exacerbate poverty. Although hunger is not frequent among Nagas at the moment, one cannot rule it out in future. When smart technologies ably support agriculture, it increases production in a sustainable way, thereby reducing hunger among the tribal populace. For this, the government must assist farmers in discouraging environmentally damaging activities like Jhum cultivation and cultivating poppies. For now, tribals have food to eat; nevertheless, future hunger problems could result from a lack of assistance. This research imagines a future where environmental sustainability is maintained while supplying for the requirements of the people of Manipur by giving technology-assisted farming prime importance. By using a participatory observation approach, the authors highlight how urgent it is to stop more ecological deterioration and protect the biodiversity of the area. Ultimately, a balanced ecological future for Manipurs rural and urban inhabitants depends on the adoption of sustainable smart agriculture. 2025 A. Jose Anand and Saravanan Krishnan. -
Current Trends and Future of AI in Sales and Marketing
Industry 4.0 has been fueling the growth of Artificial Intelligence owing to the expanding progress of data produced by the Internet and IoT devices and the computation of this enormous quantity of data. Artificial Intelligence has revolutionized the business world. AI technology has had a striking influence in the field of finance and accounting. As the market is becoming increasingly competitive, AI-empowered finance and accounting structures are making the business organization sturdy competitors as AI technologies and tools help in saving time and extracting deeper understandings. Today, companies use AI to predict customer behavior, serve more people, better target campaigns, forecast trends, etc. It goes without question that AI could improve the productivity of marketing teams. For example, location, age, and other essential information can lead to more personalized content. Along with big data, AI can undoubtedly provide businesses with a powerful means to engage and convert potential customers. This chapter aims to study the use of artificial intelligence in sales and marketing. The chapter also studies the role of AI in the sales and marketing field. This chapter also describes the benefits and current trends of AI applications in sales and marketing operations. This chapter includes the fundamental and theoretical base. It attempts to analyze the key practical applications of AI in the very specific work of the sales and marketing field. 2025 by Apple Academic Press, Inc. -
Emotional Dysregulation and Emerging Psychopathology in Adolescents
[No abstract available] -
How deepfake technology impacts public trust in fiscal policies?
The proliferation of Deepfake technology, with its unparalleled ability to fabricate hyper-realistic audiovisual content, poses a profound and multifaceted threat to the integrity of public discourse and the perceived veracity of governmental communications, particularly in the domain of fiscal policy, as it engenders a pernicious erosion of trust, fuels scepticism regarding the authenticity of official statements, and amplifies the vulnerability of the populace to disinformation campaigns, thus undermining the foundational tenets of democratic governance, exacerbating the opacity of fiscal decision-making processes, and destabilizing the delicate equilibrium between transparency, accountability, and citizen confidence in state-managed economic stewardship. Keeping this in mind, the present study endeavours to assess the impact of deepfake technology on public trust in economic policies by taking a sample of 134 respondents from the Mumbai region of India. The results indicate a significant negative relationship between exposure to Deepfake technology and public trust in fiscal policies implying that Deepfake technology leads to an erosion of public trust in fiscal policies of the government calling out for appropriate steps that must be taken to counteract the derogatory effects of Deepfake technology. 2025 Nova Science Publishers, Inc. All rights reserved. -
Stress and Depression in Gen Z
[No abstract available] -
Legal Framework and Ethical Challenges in Patenting AR/VR Innovations in Healthcare Under the Indian Patent Act, 1970
Augmented reality (AR) and virtual reality (VR) are gradually becoming significant to various industries, such as gaming, education, industrial design sectors, and healthcare. Even though augmented and virtual reality breakthroughs have already revolutionised healthcare by enhancing diagnosis, treatment, medical education, training and rehabilitation, granting patents to these technologies-imposed challenges when it comes to legal and moral concerns. Section 3(k) of the Patents Act 1970 forbids patenting softwaredriven discoveries and therapy-oriented applications. Such a legal constraint could be challenging for augmented reality and virtual reality technologies in healthcare, as it mostly depends on algorithmic procedures and therapeutic functions to develop breakthroughs. Other challenges could be section 3(b) of the Patents Act of 1970, which prohibits inventions that are contrary to public order or morality or cause harm to the environment, as ethics and morality play a crucial role in patenting AR/VR healthcare technology. The primary purpose of patent law is to encourage inventions, but it can cause medical care by creating a monopoly and allowing limited access to society. Patenting AR/VR technologies is essential to address moral and ethical concerns, as patenting these technologies in healthcare will promote inequality in patient care. The purpose of the present article is to analyse the ambiguity of the patentability of AR/VR technology in healthcare under the Patents Act of 1970 while addressing moral values with references to the principles of ethics. The paper further examines secondary data on patent grants on biomedical devices that integrate AR/VR across medical disciplines. 2026 Nova Science Publishers, Inc. -
Money in Mind: Unpacking Mental Accountings Role in Financial Choices
This study investigates the impact of mental accounting on budgeting, spending, and saving habits among individuals in Bengaluru, India. The mental accounting concept was introduced by the economist Richard Thaler. It gained attention in recent years due to its relevance in behavioral economics. For the present study, Bengaluru was chosen as the locale of the study due to its unique socioeconomic characteristics. Four hundred respondents from various sectors participated in semi-structured interviews. These respondents belong to the age group 25-60 with varying income levels. The findings conveyed that the respondents gave first priority to repaying smaller debts though long-term debts with higher interest rates were financially pressing. Therefore, it has become a need of the hour that financial education should be provided to individuals so that they can manage their finances effectively. The outcome of the present study provides valuable insights for designing educational programs that promote healthier financial habits among individuals. Copyright 2026 by Nova Science Publishers, Inc.