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Converging Deep Learning and Cloud Computing: A Scalable and Efficient Approach for Modern AI Infrastructure
Deep learning has proven to be a powerful approach to solving challenging problems, ranging from natural language processing, speech recognition, to computer vision. The proposed model has capable of matching the expanding amount of facts as well as complexity of the algorithms is demands of deep researching methodologies. These demands cannot be met with traditional computing environments. This is why cloud computing technologies have developed, offering a scalable and affordable alternative for executing deep learning algorithms. Cloud computing platforms provide the resources necessary to run deep learning workloads including compute, storage, and networking. This means you no longer have to spend lots of money on expensive hardware and makes it easier for teams and researchers to deploy and train deep learning models faster. Cloud computing has ushered in a new era of deep learning developments by mobilizing the power of specialized hardware, notably GPUs, to accelerate the training and performance of deep learning models. 2025 IEEE. -
From Clicks to Insights: AI's Impact on India's E-Commerce SMEs
This chapter examines the transformative role of Artificial Intelligence (AI) in revolutionizing operational and strategic aspects of Indian e- commerce SMEs. It explores how AI- driven technologies enhance operational efficiency, streamline inventory management, and personalize customer experiences, enabling SMEs to compete effectively in a rapidly digitizing marketplace. By analyzing case studies, such as Sephora's virtual assistant and 1822 Denim's virtual fitting rooms, the chapter illustrates the tangible benefits of tailored AI solutions. Also addresses challenges to AI adoption, including financial constraints, data quality issues, and organizational resistance, while emphasizing the importance of ecosystem support and change management. Furthermore, the chapter highlights future trends in AI and their implications for SMEs striving for innovation and sustainability. By offering actionable insights and strategic frameworks, this chapter provides a comprehensive guide for SMEs and stakeholders aiming to harness AI for growth and resilience in India's e- commerce sector. 2026 by IGI Global Scientific Publishing. -
Opportunities for women's rural entrepreneurship in deprived rural environments: Empowering the pathway for women entrepreneurs in rural environments
Empowering women entrepreneurs in rural areas is essential for encouraging gender equality. This study explores opportunities, challenges, and strategies to support rural women entrepreneurs, focusing on the role of digital transformation, social enterprises, and policy interventions. Women face issues such as gender barriers, and social constraints, yet they leverage agriculture, handicrafts, and service sectors to drive growth. Success stories show how women face financial inclusion and other challenges. Digital platforms help access the market, skill development, and financial transactions, bridge gaps and promote sustainability. Policies like Stree Shakti Yojana, Mahila Udyam Nidhi Scheme and other provide financial aid, train and foster entrepreneurs. Sustainable practices, including renewable energy and eco-friendly techniques, further enhance prospects. By integrating sustainable strategies, advancing digital literacy, and aligning with Sustainable Development Goals, rural women entrepreneurs can emerge as leaders, ensuring inclusive economic growth and lasting social impact. 2025, IGI Global Scientific Publishing. -
A Review of Geospatial Urban Growth Modelling with Applications
The study inspires to know about geospatial model applications used in cities growth. The model is used to represent objects, targets, people interaction, and prediction on the size of city growth. Batty has elaborated in his research on traditional types of data and a combination of GIS data visualization (Batty, 2005). The aim of this chapter to review the list of models that influence urban growth. The objective of the study is to specify the geo-temporal dimension with symbolic representation for types of spatial modelling. Preliminary study has been explained in Tables 15.1-15.2 with conceptual models, analysis models, visualization, or cartographic model. 2025 selection and editorial matter, Uday Chatterjee, Avishek Bhunia, Jyothi Gupta and Krishnendu Gupta; individual chapters, the contributors. -
Exploring the Digital Economy: Regulatory Challenges and Implications for Customer Dynamics
In the setting up of new digital platforms such as FinTech and e- commerce in the world, the most important task that has brought businesses to open up their markets to customers is interaction between the function before and after sale. This chapter thus reflects on the factors that have created regulatory hurdles for the digital economy, along with the effects it has had on the business- consumer relationship. It tries to analyze how the rapid adoption of digital technologies will change the old patterns of market architecture by adding to the already apparent gap between regulation and industries under new design. It also tries to look at how these regulatory issues would be about consumer trust and loyalty, about consumer behavior, and how businesses can adopt a more pragmatic approach to such problems without compromising ethical principles and developing strong consumer relationships. This chapter will show provisions of regulations that would enable innovation to ensure consumer safety, thus giving an appropriate digital marketplace in which a balance is created. 2026 by IGI Global Scientific Publishing. All rights reserved. -
The Impact of Flexible Work Policies on Employee Well-Being and Retention in Modern Organizations
Flexible work policies have become foundational to contemporary organizational strategy, particularly in light of the transformative shifts triggered by the COVID-19 pandemic. This chapter investigates the multifaceted impact of such policies on employee well-being and organizational retention. Drawing from an integrative lens, it incorporates four major theoretical frameworksJob Demands-Resources (JD-R), Self-Determination Theory (SDT), Conservation of Resources (COR), and Social Exchange Theory (SET)to provide a comprehensive understanding of how flexible work arrangements influence employee engagement, satisfaction, and organizational loyalty. In addition to synthesizing existing scholarship, this chapter contributes a novel cross-t heoretical model that bridges motivational psychology and organizational behavior. It also proposes a suite of policy evaluation tools that blend qualitative and quantitative metrics, enabling organizations to monitor and. 2025 by IGI Global Scientific Publishing. All rights reserved. -
The Impact of Cost- Efficient Market Entry Strategies on the Growth and Sustainability of Digital Startups in Emerging Markets
In emerging markets, digital startups face numerous challenges related to market entry, including financial constraints, regulatory hurdles, and competitive pressures. Cost- efficient market entry strategies play a pivotal role in determining the growth trajectory and long- term sustainability of these startups. This chapter explores various cost- effective approaches such as bootstrapping, lean startup methodology, strategic partnerships, and digital- first go- to- market strategies. By examining realworld case studies and industry insights, this chapter highlights the impact of these strategies on startup growth and sustainability. Overall, this research contributes to the growing discourse on sustainable entrepreneurship by offering practical insights into scalable, cost- efficient business models. By identifying key enablers of success for digital startups in emerging markets, this study provides valuable recommendations for entrepreneurs, policymakers, and investors aiming to drive innovation and economic development in resource- constrained environments. 2026 by IGI Global Scientific Publishing. All rights reserved. -
The Impact of International Brand Positioning Strategies on Meeting Consumer Expectations in Emerging Markets
International brand positioning is a crucial determinant of success for businesses expanding into emerging markets. This chapter examines how multinational companies develop and implement brand positioning strategies that align with consumer expectations in these dynamic and culturally diverse regions. It explores key frameworks, challenges, and opportunities associated with brand positioning, supported by case studies of successful and unsuccessful international brand strategies. The chapter concludes with recommendations for businesses seeking sustainable growth in emerging markets. 2026, IGI Global Scientific Publishing. All rights reserved. -
Cancer-associated mutation at glycine 400 in TIP60 disrupt its phase separation property and catalytic activity resulting in compromised DNA damage repair function of the cell
TIP60 is a tumor suppressor with histone acetyltransferase (HAT) activity, playing a crucial role in regulating chromatin architecture by acetylating histones to enhance accessibility for other regulatory factors. Its function is vital for several key cellular processes, including DNA damage repair, apoptosis, and autophagy. While the downregulation of TIP60 has been associated with various cancers, the effects of naturally occurring mutations in TIP60 on its function in malignancies remain poorly understood. In this study, we explored how cancer-related mutations in TIP60 impact its structure and function. Several deleterious and destabilizing missense mutations were identified and analyzed for structural changes. Molecular dynamics simulations revealed alterations in protein conformational stability and radius of gyration due to these mutations, supported by significant changes in TIP60's solvent accessibility and intramolecular hydrogen bonding. Biochemical assays with recombinant proteins showed a loss of catalytic activity in the G400W mutant. Live cell imaging indicated abnormal localization of the G400W mutant within the nucleus. Additionally, we observed aberrant phase separation of TIP60 caused by the G400W mutation. Notably, the G400W mutation impairs TIP60's catalytic function, preventing effective DNA repair and leaving the genome vulnerable to further mutations. Our findings highlight cancer-associated mutations in TIP60 that may contribute to the molecular mechanisms underlying cancer initiation and progression. 2025 Elsevier Inc. -
An ARDL approach: case study of COVID-19 death and insurance stock returns
The movement of investment vehicles helps investors communicate as a stock market shield via a diverse portfolio. The COVID-19 outbreak had impacted the India along with other countries across the globe. The diseases progression and economic impact are highly uncertain. The current study is a novel effort to untangle the dynamic relationship between COVID-19 death and returns of NSE-listed life insurance stocks. We look at COVID-19 death data as well as returns from SBI Life, HDFC Life, and ICICI PRU from April 2020 to July 2021, when pandemic was the leading cause of death. Using the autoregressive distributed lag (ARDL) model technique, we discover that COVID-19 death has no dynamic relationship with the returns of selected life insurance stocks. In conclusion, our findings will provide stockholders, investment advisors, and policy experts with significant foresight into guaranteeing returns on life insurance stocks free from uncertain calamities such as COVID-19. Copyright 2025 Inderscience Enterprises Ltd. -
Decoding impermanent narratives: A study of transient migrants as digital influencers on YouTube
Students migrate from India annually for higher education in large numbers. Social media has become an essential network for disseminating information related to aspects of migration like student visas, college applications, residence and finances. YouTube engages vigorously in this dispersion of information. Many times, the sources of these kinds of information are found to be transient migrants themselves. YouTubers and influencers like Tushar Bareja, Nidhi Nagori, Gursahib Singh, Bani Singh and Saloni Verma, among others, have made a niche, creating content and sharing information about the experience of being a transient migrant. Much like the status of being transient, creating ones brand on social media is both dynamic and fleeting, which cannot be defined in a sense of permanence. The analysis of content created by YouTube influencers enables an insight into the definition of transient migrant identity. The topics that are covered in the content showcase the particular components of international student life that add to the concept of a transient migrant identity. The article attempts to ask the question of how the YouTube videos made by student migrants end up contributing to the transient migrant identity. It also attempts to decipher how the transient identity itself is packaged as a commodity to be monetized by these student migrant influencers on YouTube. Using theoretical frameworks of influencer culture, social media and migration, the article attempts to unravel the workings of YouTube in commodifying the transient migrant experience. 2025 Intellect Ltd. -
Model between mind share branding factors and trustworthiness /
Patent Number: 202111055024, Applicant: Dr.Vikas Singla.
The importance of Mindshare branding (MB) strategy in building long-term and sustainable psychological links with consumers had been sufficiently highlighted in literature. However, very few research attempted to provide a structured tool for its measurement. This study proposed a 13-point four-factor multidimensional scale which could be used to measure MB formally. Dimensions measuring MB were derived from literature and then examined on different brands in order to achieve a reliable and valid scale. -
A novel data mining and machine learning-based framework for cyber security intrusion detection /
Patent Number: 202231027007, Applicant: Lingaraj Sethi.
This survey paper describes a focused literature survey of machine learning (ML) and data mining (DM) methods for cyber analytics supporting intrusion detection. Short tutorial descriptions of each ML/DM method are provided. Based on the number of citations or the relevance of emerging practice, papers representing each method were identified, read, and summarised. Because data are so crucial in ML/DM approaches, some well- known cyber data sets used in ML/DM are described. -
Development of IOT based household health safety system /
Patent Number: 202141012686, Applicant: Dr. R. Kumaravelan.
IoT opens the pathway of modernized health care and safety systems to monitor the physical parameters of the persons. But the emerging count of accidents and deaths occur inside the houses are created the necessity of making real-time monitoring and identification systems to rescue the affected person whoever got injured inside the house. Thus to provide this systematic approach the combination of sensors and the micro-controller unit with IoT will help to provide the accurate and optimistic response for the recovery of the persons injured. -
Technology-Enabled Smart Healthcare toward Smart Society 5.0
The emerging technologies such as artificial intelligence (AI), the Internet of Things (IoT), blockchain, 3D printing, and 5G networking (referred as AIB35) in the context of smart healthcare are being greatly explored by smart healthcare providers to move forward in an all-encompassing manner. The field of healthcare requires scientists to implement intelligent solutions into the daily routines of smart aging patients to improve the efficiency and precision of diagnostic and therapeutic procedures. The concept of smart aging refers to a program that makes it possible for elders to have a superior quality of life by embracing high-end technology solutions to diagnosis and disease. Healthcare technologies are a wide range of innovations, including connected devices, appliances, and procedures, as well as drugs, medicine, and vaccine that improve the level and quality of care provided at economic cost structures. The purpose of this study is to first present a listing of the principal technologies that underpin smart healthcare, and then to present it in several significant domains. After that, we elaborate on the issues that now exist with smart healthcare and attempt to provide potential solutions to these issues. In the final part of this chapter, we take a glance into the road ahead and assess the prospects of smart healthcare toward building a smart society 5.0. 2026 by Apple Academic Press, Inc. -
The Rise of Quick Commerce: Redefining Retail Through Digital Innovation and Sustainable Practices
There has been a sea change in retail with the new wave of consumers who are looking to get instant access to products, which is leading to Q- commerce. Q- commerce can be defined as Quick Commerce, a means through which retailers/retailing can attempt to be different by delivering products within a minute. This chapter is an elaboration of how Q- commerce affects consumer behaviour and retail strategies. The COVID- 19 pandemic really speeded up the transition from traditional retail to e- commerce and placed convenience at a new standard that challenges traditional retailing practices.In that regard, technological developments are the bedrock of Q- commerce, but at the same time, operational efficiency is enhanced through artificial intelligence, real- time analytics, and well- improved logistics. While delivery becomes faster through innovations, increasing customer loyalty, it creates ethical and sustainability concerns. The section highlights how the retailers should align rapid growth with responsible practices to manage the adverse environmental effects caused by fast delivery. Copyright 2025 by IGI Global Scientific Publishing. All rights reserved. -
Ensuring Organizational Sustainability through HR Practices: Moderating Role of Leadership in the Banking Industry in the Context of SDGs
The study inspects the moderating role of leadership in the association between human resource (HR) practices and organizational sustainability, with a particular focus on Sustainable Development Goals (SDGs) 8 (Decent Work and Economic Growth) and 12 (Responsible Consumption and Production). It explores how leadership behaviors shape the effectiveness of HR practices in driving sustainability across economic, environmental, and social dimensions, while also situating these outcomes within the broader context of regional development and spatial planning. By analyzing the role of banks as institutional actors, the research highlights their contribution to financial inclusion, community well-being, and balanced urbanrural growth. A stratified random sample of 500 banking associates from urban, semi-urban, and rural branches was surveyed using a structured questionnaire, and data were analyzed through Structural Equation Modeling with SPSS and AMOS. HR practices, including recruitment, onboarding, performance management, compensation, and employee engagement, were assessed alongside leadership behaviors such as decision-making, resource allocation, empowerment, and vision. The findings indicate that leadership has a significant impact on the positive effects of HR practices on sustainability outcomes. In particular, leading by example and effective resource allocation emerge as strong moderators that advance SDG 8 and SDG 12. The findings underscore that sustainable HR leadership integration in banking not only improves organizational outcomes but also contributes to regional development and planning agendas by reinforcing equitable growth and sustainability across diverse spatial contexts. This study also situates banking institutions within the field of geography, planning, and development by showing how HR-leadership interactions contribute to territorial equity, financial inclusion, and spatial planning objectives. By linking organizational practices to regional sustainability trajectories, the findings highlight banks as critical institutional actors in advancing balanced urbanrural development. 2025, Green Publication. All rights reserved. -
Influence of emotional intelligence as mediator between workplace spirituality and organisational citizenship behaviour
Spirituality at work has developed as a research discipline over the last decade. There have been a few theoretical studies emphasizing on the significance of the construct. The external and internal factors affecting the relationship of this construct need to be analysed for enabling its newlineimplementation in the business world. The construct needs further empirical studies to establish itself as an implementable HR practice, contributing significantly to the bottom line. Organisational citizenship behaviour is critical for performance amidst uncertainty. Emotional intelligence has newlinebecome more critical in overcoming the challenges faced by the Information Technology (IT) sector in India. This study fills the gap in the current literature studying the influence of emotional intelligence in the relationship between workplace spirituality and organisational citizenship behaviour in the Indian IT sector context. The challenges faced by the Indian IT sector are unique and needs alternative solution to avoid a downfall in the sector contributing majorly to the national GDP. The sample is 800 IT sector employees selected through judgmental sampling. The data is collected by using online survey newlineinstruments. SEM modelling has been used to analyse the data and use the same for development of an implementable model relating the dependent and the independent variables. The findings state that there is a direct and positive relationship between newlineworkplace spirituality and organisational citizenship behaviour. In addition, newlineemotional intelligence mediates the relationship between workplace spirituality and organisational citizenship behaviour. Longitudinal testing of the relationships has been left as the scope for further studies. -
The Influence of Marketing and Awareness Campaigns on Solar Energy Adoption: A Review of Strategies and Effectiveness
The shift to renewable energy sources is picking up pace globally, with solar energy being one of the most significant sustainable solutions. However, with technological advancements and declining costs, solar adoption has been inconsistent among various consumer segments. This review critically examines marketing strategies, awareness campaigns, financial incentives, and socioeconomic factors as drivers of solar energy adoption. The study classifies findings into four key dimensions, namely: consumer awareness, effectiveness of traditional compared to digital marketing, socioeconomic influences, and psychological and behavioural impacts on decision making. Results show that high consumer awareness leads to highly significant increases in adoption rates, while traditional marketing finds relevance in low-digital penetration, but digital marketing is more effective all along. Policies and incentives for economic support also have an immense impact on adoption rates among the lower classes because high-class education and urbanization affect adoption rates strongly. Behavioural factors including consumer trust in providers, environmental causes, installation ease, and social influence further influence consumer adoption readiness. Recommendations emerging from this study point towards awareness campaigns targeted at specific groups, availability of financial incentives, and customized marketing strategies aimed at actual consumption at a scale. This literature review has informed policymakers and marketers on how to tailor their marketing and promotion approach towards solar energy as a mass adoption solution. 2025, Iquz Galaxy Publisher. All rights reserved. -
A critical analysis of artificial intelligence and the Indian legal framework with special reference to health data protection /
India is one of the largest and fastest-growing markets for Artificial Intelligence technology, with a significant number of startups and established companies developing AI-driven solutions across various industries. However, the legal framework for AI in India is still evolving, and there is currently no specific law or regulation governing the development and use of AI. This lack of regulation creates significant challenges for businesses and policymakers, as it leaves many critical legal and ethical questions unanswered. Artificial Intelligence is rapidly transforming various industries, including healthcare, by providing tools that can help in the analysis and interpretation of medical data. However, the use of AI in the healthcare industry has raised concerns about the privacy and security of personal health information. This research provides a critical analysis of AI and the Indian legal system with special reference to health data protection.