Volume 1
Volume 2
Volume 3
Volume 4
Volume 5
Volume 6
- Citation
- Abstract
- Reference
- Full PDF
Paper Type
:
Research Paper
Title
:
The role of HR in ensuring work-life balance in a digital world in Uttarakhand
Country
:
India
Authors
:
Arpit Sharma
Abstract: This emphasis on work-life balance has occupied a considerably high priority in the current era for both employees and organizations. This emerging problem gets its crudest dimension in a state like Uttarakhand, where conventional industries are married to upcoming digital sectors, thus creating a different type of workforce. Human resource management has been the greatest provider for managing and enhancing work-life balance in this dynamic setting. In Uttarakhand, where a digital workspace is fast becoming a norm, HR departments are......
[1].
Citations: Allen, T. D., and Greenhaus, J. H. (2011). A review and expansion of the literature on work-family balance. 37(1), 17–46; Journal of Management.
[2].
Larson, B. Z., Foroughi, C., and Choudhury, P. (2020). Work-from-anywhere: How productivity is affected by remote work. Journal of Strategic Management.
[3].
R. Sinha (2021). HR viewpoint on work-life balance issues in tier-2 Indian cities. Journal of Organisational Studies in India, 15(2), 45–52.
[4].
M. Singh (2020). HRM Review, 20(6), 34–39. Digital HR practices in rural India.
[5].
Uttarakhand government (2022). workforce development and digital infrastructure. taken from [uttarakhand.gov.in].
- Citation
- Abstract
- Reference
- Full PDF
Paper Type
:
Research Paper
Title
:
Strategic Adaptation: Managing Organizational Change in the Digital Revolution
Country
:
India
Authors
:
Dr Rimple || Shivam Aggarwal
Abstract: Business operations have been transformed by the digital revolution putting an end to innovation and excellence in the movement of Industries. Organizational performance in the digital transformation era is encouraged to be explored through technological adoption, leadership, workforce’s adaptability, and sustainability. The research uses quantitative approach of regression models and hypotheses tests to investigate relationship between digital strategies and business success. Studies indicate that companies dealing with AI, big data, and automation enjoy a breakthrough.....
Keywords: Digital Transformation, Innovation and Excellence, Technology Adoption, Artificial Intelligence (AI), Big Data Analytics, Automation and Robotics
[1].
Bharadwaj, A., El Sawy, O. A., Pavlou, P. A., & Venkatraman, N. (2013). Digital business strategy: Toward a next-generation of insights. MIS Quarterly, 37(2), 471–482. https://doi.org/10.25300/MISQ/2013/37:2.3
[2].
Bresciani, S., Ferraris, A., & Del Giudice, M. (2018). The management of organizational ambidexterity through alliances in a digital era. Technological Forecasting and Social Change, 136, 347–354. https://doi.org/10.1016/j.techfore.2017.03.002
[3].
Bughin, J., Catlin, T., Hirt, M., & Willmott, P. (2018). Why digital strategies fail. McKinsey Quarterly, 1(1), 10–18.
[4].
Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108–116.
[5].
Frank, A. G., Mendes, G. H. S., Ayala, N. F., & Ghezzi, A. (2019). Servitization and digitalization: Current practice and future
- Citation
- Abstract
- Reference
- Full PDF
Paper Type
:
Research Paper
Title
:
Mitigating Impediments in Multilingual Intent Recognition within Large Language Models for E-Commerce
Country
:
India
Authors
:
Rajdeep Bhattacharya || Bhuvenashwer Swaroop || Shalendra Thakur
Abstract: In the rapidly expanding realm of global e-commerce the ability to accurately interpret customer intent for multiple languages is important for delivering personalized user experiences. Large Language Models have emerged as powerful tools in this domain; however, their deployment faces significant challenges.
This paper delineates these impediments and proposes strategic solutions to enhance multilingual intent recognition in e-commerce platforms. This paper identifies linguistic diversity and resource scarcity, cultural nuances and contextual.......
......
- Citation
- Abstract
- Reference
- Full PDF
Paper Type
:
Research Paper
Title
:
Customer Perception Toward State Bank India (SBI) Loans
Country
:
India
Authors
:
Tinku Kumar || Dr. Ritu Bharti
Abstract: This study aims to evaluate customer perception toward loan products offered by the State Bank of India (SBI), with a focus on understanding factors such as awareness, satisfaction, ease of application, clarity of terms, and interest rates. The research uses a mixed-methods approach combining quantitative surveys and qualitative interviews. Findings indicate that while customers generally trust SBI due to its public-sector status, there are gaps in communication, application processing time, and customer service. This report offers actionable insights for SBI to enhance its loan offerings, strengthen customer trust, and improve competitive positioning..
Keywords: - Customer perception; SBI; loan products; public sector banks; customer satisfaction; research methodology; data analysis; survey; interest rates; application process; customer service; recommendations.
[1].
Kumar, A., & Gulati, R. (2020). Customer Satisfaction in Indian Banking Sector.
[2].
Sharma, N., Verma, P., & Singh, R. (2019). Loan Services and Customer Perception.
[3].
Rao, V., & Singh, M. (2021). Public Sector Banks and Customer Service Challenges.
[4].
Narang, A. (2018). Role of Digitalization in Enhancing Bank Efficiency.
[5].
Iyer, S., & Joshi, M. (2022). Transforming Customer Experience in Indian Banks: A Comparative Approach.
- Citation
- Abstract
- Reference
- Full PDF
Paper Type
:
Research Paper
Title
:
Evaluating the Impact of Key Economic Indicators on Indian Stock Market Dynamics
Country
:
India
Authors
:
Ashutosh Kumar Jha || Dr. Ram Prabhesh
Abstract: This study examines the impact of key economic indicators—GDP growth rate, inflation rate, interest rate, and exchange rate—on the dynamics of the Indian stock market represented by the BSE Sensex from 2015 to 2024. Using descriptive analysis, correlation analysis, and multiple regression techniques within SPSS, the findings reveal that GDP growth has a significant positive influence on stock market performance, while inflation, interest rates, and exchange rates exert significant......
Keywords: Indian stock market, economic indicators, GDP, inflation, interest rates, exchange rates, BSE Sensex
[1].
Aggarwal, R. (1981). Exchange rates and stock prices: A study of the US capital markets under floating exchange rates. * Akron Business and Economic Review*, 12(3), 7–12.
[2].
Barro, R. J. (1990). The stock market and investment. The Review of Financial Studies, 3(1), 115–131. https://doi.org/10.1093/rfs/3.1.115
[3].
Bekaert, G., & Harvey, C. R. (2000). Foreign speculators and emerging equity markets. The Journal of Finance, 55(2), 565–613. https://doi.org/10.1111/0022-1082.00226
[4].
Bernanke, B. S., & Kuttner, K. N. (2005). What explains the stock market's reaction to Federal Reserve policy? The Journal of Finance, 60(3), 1221–1257. https://doi.org/10.1111/j.1540-6261.2005.00760.x
[5].
Chen, N., Roll, R., & Ross, S. A. (1986). Economic forces and the stock market. The Journal of Business, 59(3), 383–403. https://doi.org/10.1086/296344.
- Citation
- Abstract
- Reference
- Full PDF
Paper Type
:
Research Paper
Title
:
Technology-Driven Resurgence of Mutual Funds in India: Trends, Challenges, and Opportunities
Country
:
India
Authors
:
Ayush Yadav || Dr Varsha Gupta
Abstract: There has been an unprecedented transformation in the Indian mutual fund industry over the past decade, characterized by exceptional resilience and expansion. During the past ten years, the industry's assets under management (AUM) have grown six-fold from US$ 108.8 billion (Rs. 9 lakh crore) in January 2014 to US$ 635.3 billion (Rs. 52.7 lakh crore)(IBEF, 2024).The exponential growth in industry is expected to cover 26 crore investors and scaling AUM up to US$ 33 trillion by 2047 (Pwc, 2025). During last 15 years, the exponential growth of mutual.......
Keywords: Asset Under Management (AUM), Mutual Fund, Resurgence, Systematic Investment Plan (SIP)
[1].
Association of Mutual Funds in India (AMFI). (2024). AMFI Monthly Data and Statistics. Retrieved from https://www.amfiindia.com
[2].
SEBI (Securities and Exchange Board of India). (2023). Mutual Funds Annual Report. Retrieved from https://www.sebi.gov.in
[3].
Reserve Bank of India (RBI). (2023). Report on Trend and Progress of Banking in India. Retrieved from https://www.rbi.org.in
[4].
Wikipedia contributors. (2023). Mutual funds in India. Wikipedia. Retrieved from https://en.wikipedia.org/wiki/Mutual_funds_in_India
[5].
Almansour, B. Y., Elkhrgli, S., & Almansour, A. Y. (2023). Behavioral finance factors and investment decisions: A mediating role of risk perception.
- Citation
- Abstract
- Reference
- Full PDF
Paper Type
:
Research Paper
Title
:
Balancing Surveillance and Privacy: The Ethical and Legal Implications of Employee Monitoring in the Digital Workplace
Country
:
India
Authors
:
Akshay Garg || Nishant Kumar
Abstract: Employee privacy has become an increasingly critical issue in modern workplaces, especially with the growing integration of digital technologies and remote work. As organizations strive to monitor productivity, secure data, and comply with legal requirements, the boundary between legitimate oversight and intrusion into personal privacy has become blurred. Employers use tools such as surveillance cameras, email monitoring, biometric systems, and location tracking to enhance workplace security and performance. While these measures can be justified......
[1].
European Union. (2016). General Data Protection Regulation (GDPR).
[2].
United States Congress. (1986). Electronic Communications Privacy Act (ECPA).
[3].
Office of the Privacy Commissioner of Canada. (2000). PIPEDA.
[4].
Government of India. (2019). Personal Data Protection Bill.
[5].
Workplace Surveillance Act 2005 (NSW), Australia..
- Citation
- Abstract
- Reference
- Full PDF
Paper Type
:
Research Paper
Title
:
Digital Piracy: Enforcement Challenges under Cyber and IPR Laws
Country
:
India
Authors
:
Dr. Akhilesh Yadav || Mr. Arjun || Mr. Nishant Kumar
Abstract: Digital piracy—the unauthorized copying, sharing, and distribution of digital content such as movies, music, software, and e-books—has become a global issue with serious implications. While the digital age has revolutionized how we access and enjoy content, it has also made it easier than ever to violate intellectual property rights. For content creators, artists, developers, and producers, piracy isn’t just a legal issue—it’s deeply personal. It affects their income, discourages innovation, and undermines the value of original work. With the rapid growth of high....
Keywords: Digital piracy, Intellectual Property Rights (IPR), Cyber laws, Unauthorized distribution, Copyright infringement
[1].
United States Trade Representative (USTR) (2024). Special 301 Report.
[2].
OECD (2019). Trends in Trade in Counterfeit and Pirated Goods.
[3].
Interpol & Europol Reports (2022). Digital Piracy: Threat Landscape and Enforcement Gaps.
[4].
UNODC (United Nations Office on Drugs and Crime) (2013). Cybercrime: A Global Challenge.
[5].
World Intellectual Property Organization (WIPO
- Citation
- Abstract
- Reference
- Full PDF
Paper Type
:
Research Paper
Title
:
Disease detection in Plant Leaves utilizing Machine Learning techniques: A comprehensive review
Country
:
India
Authors
:
Amrita Kumari || Sakshi Devi || Aachal Patwari || Ashish Saini
Abstract: Agriculture is the prime source behind India’s economic progress. Global food security and agricultural productivity are seriously threatened by plant diseases. These diseases affect the efforts, plans and economy of a country. This is very essential that these diseases should be identified accurately, effectively managed and controlled. A number of researchers are working in this area utilizing several Machine Learning (ML) techniques for prompt detection of leaf diseases. This paper presents the work done in this area highlighting the techniques/algorithms used for detecting diseases in plant. The paper also examines the usage of Convolution Neural Networks (CNNs), k-Nearest Neighbor (KNN), YOLOv5, YOLOv7, and other cutting-edge models in particular area. An in-depth analysis of past research is summarized.
[1].
Kumari, A., Saini, A., & Kumar, A., (2024). A review on Agricultural Practices for Long-term Sustainability. Engineering a Sustainable Future: Role of Science and Technology for Achieving SDGs Volume-I, Walnut Publication. ISBN: 979-8-89171-176-1.
[2].
Khandaker, M. A. A., Raha, Z. S., Islam, S., & Muhammad, T. (2025). Explainable AI-Enhanced Deep Learning for Pumpkin Leaf Disease Detection: A Comparative Analysis of CNN Architectures. arXiv preprint arXiv:2501.05449......
- Citation
- Abstract
- Reference
- Full PDF
Paper Type
:
Research Paper
Title
:
To analyze how Automation and Artificial Intelligence are reshaping job markets and workforce dynamics
Country
:
India
Authors
:
Dr. Nirmesh Sharma
Abstract: Automation and Artificial Intelligence (AI) are profoundly reshaping job markets and workforce dynamics, creating a dual narrative of opportunity and disruption. This study examines the transformative effects of these technologies, highlighting their capacity to enhance productivity, optimize industrial structures, and foster new employment opportunities in high-skilled sectors such as AI engineering and robotics. Simultaneously, it explores the challenges posed by automation and AI, including job displacement, income inequality, and the reallocation of tasks......
Keywords: Automation, Artificial Intelligence (AI), Job Market, Workforce Dynamics, Employment Displacement, Skill Reallocation, Economic Impact
[1].
https://www.nber.org/system/files/working_papers/w28257/w28257.pdf/accessed on 8-4-2025.
[2].
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4742319
[3].
https://www.nber.org/system/files/working_papers/w28257/revisions/w28257.rev1.pdf
[4].
https://pmc.ncbi.nlm.nih.gov/articles/PMC10907740/
[5].
https://pmc.ncbi.nlm.nih.gov/articles/PMC9127971/
[6].
https://www.whitehouse.gov/cea/written-materials/2024/07/10/potential-labor-market-impacts-of-artificial-intelligence-an-empirical-analysis/
- Citation
- Abstract
- Reference
- Full PDF
| Paper Type | : | Research Paper |
| Title | : | The role of HR in ensuring work-life balance in a digital world in Uttarakhand |
| Country | : | India |
| Authors | : | Arpit Sharma |
Abstract: This emphasis on work-life balance has occupied a considerably high priority in the current era for both employees and organizations. This emerging problem gets its crudest dimension in a state like Uttarakhand, where conventional industries are married to upcoming digital sectors, thus creating a different type of workforce. Human resource management has been the greatest provider for managing and enhancing work-life balance in this dynamic setting. In Uttarakhand, where a digital workspace is fast becoming a norm, HR departments are......
[1].
Citations: Allen, T. D., and Greenhaus, J. H. (2011). A review and expansion of the literature on work-family balance. 37(1), 17–46; Journal of Management.
[2].
Larson, B. Z., Foroughi, C., and Choudhury, P. (2020). Work-from-anywhere: How productivity is affected by remote work. Journal of Strategic Management.
[3].
R. Sinha (2021). HR viewpoint on work-life balance issues in tier-2 Indian cities. Journal of Organisational Studies in India, 15(2), 45–52.
[4].
M. Singh (2020). HRM Review, 20(6), 34–39. Digital HR practices in rural India.
[5].
Uttarakhand government (2022). workforce development and digital infrastructure. taken from [uttarakhand.gov.in].
- Citation
- Abstract
- Reference
- Full PDF
| Paper Type | : | Research Paper |
| Title | : | Strategic Adaptation: Managing Organizational Change in the Digital Revolution |
| Country | : | India |
| Authors | : | Dr Rimple || Shivam Aggarwal |
Abstract: Business operations have been transformed by the digital revolution putting an end to innovation and excellence in the movement of Industries. Organizational performance in the digital transformation era is encouraged to be explored through technological adoption, leadership, workforce’s adaptability, and sustainability. The research uses quantitative approach of regression models and hypotheses tests to investigate relationship between digital strategies and business success. Studies indicate that companies dealing with AI, big data, and automation enjoy a breakthrough.....
Keywords: Digital Transformation, Innovation and Excellence, Technology Adoption, Artificial Intelligence (AI), Big Data Analytics, Automation and Robotics
[1].
Bharadwaj, A., El Sawy, O. A., Pavlou, P. A., & Venkatraman, N. (2013). Digital business strategy: Toward a next-generation of insights. MIS Quarterly, 37(2), 471–482. https://doi.org/10.25300/MISQ/2013/37:2.3
[2].
Bresciani, S., Ferraris, A., & Del Giudice, M. (2018). The management of organizational ambidexterity through alliances in a digital era. Technological Forecasting and Social Change, 136, 347–354. https://doi.org/10.1016/j.techfore.2017.03.002
[3].
Bughin, J., Catlin, T., Hirt, M., & Willmott, P. (2018). Why digital strategies fail. McKinsey Quarterly, 1(1), 10–18.
[4].
Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108–116.
[5].
Frank, A. G., Mendes, G. H. S., Ayala, N. F., & Ghezzi, A. (2019). Servitization and digitalization: Current practice and future
- Citation
- Abstract
- Reference
- Full PDF
| Paper Type | : | Research Paper |
| Title | : | Mitigating Impediments in Multilingual Intent Recognition within Large Language Models for E-Commerce |
| Country | : | India |
| Authors | : | Rajdeep Bhattacharya || Bhuvenashwer Swaroop || Shalendra Thakur |
Abstract: In the rapidly expanding realm of global e-commerce the ability to accurately interpret customer intent for multiple languages is important for delivering personalized user experiences. Large Language Models have emerged as powerful tools in this domain; however, their deployment faces significant challenges.
This paper delineates these impediments and proposes strategic solutions to enhance multilingual intent recognition in e-commerce platforms. This paper identifies linguistic diversity and resource scarcity, cultural nuances and contextual.......
......
- Citation
- Abstract
- Reference
- Full PDF
| Paper Type | : | Research Paper |
| Title | : | Customer Perception Toward State Bank India (SBI) Loans |
| Country | : | India |
| Authors | : | Tinku Kumar || Dr. Ritu Bharti |
Abstract: This study aims to evaluate customer perception toward loan products offered by the State Bank of India (SBI), with a focus on understanding factors such as awareness, satisfaction, ease of application, clarity of terms, and interest rates. The research uses a mixed-methods approach combining quantitative surveys and qualitative interviews. Findings indicate that while customers generally trust SBI due to its public-sector status, there are gaps in communication, application processing time, and customer service. This report offers actionable insights for SBI to enhance its loan offerings, strengthen customer trust, and improve competitive positioning..
Keywords: - Customer perception; SBI; loan products; public sector banks; customer satisfaction; research methodology; data analysis; survey; interest rates; application process; customer service; recommendations.
[1].
Kumar, A., & Gulati, R. (2020). Customer Satisfaction in Indian Banking Sector.
[2].
Sharma, N., Verma, P., & Singh, R. (2019). Loan Services and Customer Perception.
[3].
Rao, V., & Singh, M. (2021). Public Sector Banks and Customer Service Challenges.
[4].
Narang, A. (2018). Role of Digitalization in Enhancing Bank Efficiency.
[5].
Iyer, S., & Joshi, M. (2022). Transforming Customer Experience in Indian Banks: A Comparative Approach.
- Citation
- Abstract
- Reference
- Full PDF
| Paper Type | : | Research Paper |
| Title | : | Evaluating the Impact of Key Economic Indicators on Indian Stock Market Dynamics |
| Country | : | India |
| Authors | : | Ashutosh Kumar Jha || Dr. Ram Prabhesh |
Abstract: This study examines the impact of key economic indicators—GDP growth rate, inflation rate, interest rate, and exchange rate—on the dynamics of the Indian stock market represented by the BSE Sensex from 2015 to 2024. Using descriptive analysis, correlation analysis, and multiple regression techniques within SPSS, the findings reveal that GDP growth has a significant positive influence on stock market performance, while inflation, interest rates, and exchange rates exert significant......
Keywords: Indian stock market, economic indicators, GDP, inflation, interest rates, exchange rates, BSE Sensex
[1].
Aggarwal, R. (1981). Exchange rates and stock prices: A study of the US capital markets under floating exchange rates. * Akron Business and Economic Review*, 12(3), 7–12.
[2].
Barro, R. J. (1990). The stock market and investment. The Review of Financial Studies, 3(1), 115–131. https://doi.org/10.1093/rfs/3.1.115
[3].
Bekaert, G., & Harvey, C. R. (2000). Foreign speculators and emerging equity markets. The Journal of Finance, 55(2), 565–613. https://doi.org/10.1111/0022-1082.00226
[4].
Bernanke, B. S., & Kuttner, K. N. (2005). What explains the stock market's reaction to Federal Reserve policy? The Journal of Finance, 60(3), 1221–1257. https://doi.org/10.1111/j.1540-6261.2005.00760.x
[5].
Chen, N., Roll, R., & Ross, S. A. (1986). Economic forces and the stock market. The Journal of Business, 59(3), 383–403. https://doi.org/10.1086/296344.
- Citation
- Abstract
- Reference
- Full PDF
| Paper Type | : | Research Paper |
| Title | : | Technology-Driven Resurgence of Mutual Funds in India: Trends, Challenges, and Opportunities |
| Country | : | India |
| Authors | : | Ayush Yadav || Dr Varsha Gupta |
Abstract: There has been an unprecedented transformation in the Indian mutual fund industry over the past decade, characterized by exceptional resilience and expansion. During the past ten years, the industry's assets under management (AUM) have grown six-fold from US$ 108.8 billion (Rs. 9 lakh crore) in January 2014 to US$ 635.3 billion (Rs. 52.7 lakh crore)(IBEF, 2024).The exponential growth in industry is expected to cover 26 crore investors and scaling AUM up to US$ 33 trillion by 2047 (Pwc, 2025). During last 15 years, the exponential growth of mutual.......
Keywords: Asset Under Management (AUM), Mutual Fund, Resurgence, Systematic Investment Plan (SIP)
[1].
Association of Mutual Funds in India (AMFI). (2024). AMFI Monthly Data and Statistics. Retrieved from https://www.amfiindia.com
[2].
SEBI (Securities and Exchange Board of India). (2023). Mutual Funds Annual Report. Retrieved from https://www.sebi.gov.in
[3].
Reserve Bank of India (RBI). (2023). Report on Trend and Progress of Banking in India. Retrieved from https://www.rbi.org.in
[4].
Wikipedia contributors. (2023). Mutual funds in India. Wikipedia. Retrieved from https://en.wikipedia.org/wiki/Mutual_funds_in_India
[5].
Almansour, B. Y., Elkhrgli, S., & Almansour, A. Y. (2023). Behavioral finance factors and investment decisions: A mediating role of risk perception.
- Citation
- Abstract
- Reference
- Full PDF
| Paper Type | : | Research Paper |
| Title | : | Balancing Surveillance and Privacy: The Ethical and Legal Implications of Employee Monitoring in the Digital Workplace |
| Country | : | India |
| Authors | : | Akshay Garg || Nishant Kumar |
Abstract: Employee privacy has become an increasingly critical issue in modern workplaces, especially with the growing integration of digital technologies and remote work. As organizations strive to monitor productivity, secure data, and comply with legal requirements, the boundary between legitimate oversight and intrusion into personal privacy has become blurred. Employers use tools such as surveillance cameras, email monitoring, biometric systems, and location tracking to enhance workplace security and performance. While these measures can be justified......
[1].
European Union. (2016). General Data Protection Regulation (GDPR).
[2].
United States Congress. (1986). Electronic Communications Privacy Act (ECPA).
[3].
Office of the Privacy Commissioner of Canada. (2000). PIPEDA.
[4].
Government of India. (2019). Personal Data Protection Bill.
[5].
Workplace Surveillance Act 2005 (NSW), Australia..
- Citation
- Abstract
- Reference
- Full PDF
| Paper Type | : | Research Paper |
| Title | : | Digital Piracy: Enforcement Challenges under Cyber and IPR Laws |
| Country | : | India |
| Authors | : | Dr. Akhilesh Yadav || Mr. Arjun || Mr. Nishant Kumar |
Abstract: Digital piracy—the unauthorized copying, sharing, and distribution of digital content such as movies, music, software, and e-books—has become a global issue with serious implications. While the digital age has revolutionized how we access and enjoy content, it has also made it easier than ever to violate intellectual property rights. For content creators, artists, developers, and producers, piracy isn’t just a legal issue—it’s deeply personal. It affects their income, discourages innovation, and undermines the value of original work. With the rapid growth of high....
Keywords: Digital piracy, Intellectual Property Rights (IPR), Cyber laws, Unauthorized distribution, Copyright infringement
[1].
United States Trade Representative (USTR) (2024). Special 301 Report.
[2].
OECD (2019). Trends in Trade in Counterfeit and Pirated Goods.
[3].
Interpol & Europol Reports (2022). Digital Piracy: Threat Landscape and Enforcement Gaps.
[4].
UNODC (United Nations Office on Drugs and Crime) (2013). Cybercrime: A Global Challenge.
[5].
World Intellectual Property Organization (WIPO
- Citation
- Abstract
- Reference
- Full PDF
| Paper Type | : | Research Paper |
| Title | : | Disease detection in Plant Leaves utilizing Machine Learning techniques: A comprehensive review |
| Country | : | India |
| Authors | : | Amrita Kumari || Sakshi Devi || Aachal Patwari || Ashish Saini |
Abstract: Agriculture is the prime source behind India’s economic progress. Global food security and agricultural productivity are seriously threatened by plant diseases. These diseases affect the efforts, plans and economy of a country. This is very essential that these diseases should be identified accurately, effectively managed and controlled. A number of researchers are working in this area utilizing several Machine Learning (ML) techniques for prompt detection of leaf diseases. This paper presents the work done in this area highlighting the techniques/algorithms used for detecting diseases in plant. The paper also examines the usage of Convolution Neural Networks (CNNs), k-Nearest Neighbor (KNN), YOLOv5, YOLOv7, and other cutting-edge models in particular area. An in-depth analysis of past research is summarized.
[1]. Kumari, A., Saini, A., & Kumar, A., (2024). A review on Agricultural Practices for Long-term Sustainability. Engineering a Sustainable Future: Role of Science and Technology for Achieving SDGs Volume-I, Walnut Publication. ISBN: 979-8-89171-176-1. [2]. Khandaker, M. A. A., Raha, Z. S., Islam, S., & Muhammad, T. (2025). Explainable AI-Enhanced Deep Learning for Pumpkin Leaf Disease Detection: A Comparative Analysis of CNN Architectures. arXiv preprint arXiv:2501.05449......
- Citation
- Abstract
- Reference
- Full PDF
| Paper Type | : | Research Paper |
| Title | : | To analyze how Automation and Artificial Intelligence are reshaping job markets and workforce dynamics |
| Country | : | India |
| Authors | : | Dr. Nirmesh Sharma |
Abstract: Automation and Artificial Intelligence (AI) are profoundly reshaping job markets and workforce dynamics, creating a dual narrative of opportunity and disruption. This study examines the transformative effects of these technologies, highlighting their capacity to enhance productivity, optimize industrial structures, and foster new employment opportunities in high-skilled sectors such as AI engineering and robotics. Simultaneously, it explores the challenges posed by automation and AI, including job displacement, income inequality, and the reallocation of tasks......
Keywords: Automation, Artificial Intelligence (AI), Job Market, Workforce Dynamics, Employment Displacement, Skill Reallocation, Economic Impact
[1].
https://www.nber.org/system/files/working_papers/w28257/w28257.pdf/accessed on 8-4-2025.
[2].
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4742319
[3].
https://www.nber.org/system/files/working_papers/w28257/revisions/w28257.rev1.pdf
[4].
https://pmc.ncbi.nlm.nih.gov/articles/PMC10907740/
[5].
https://pmc.ncbi.nlm.nih.gov/articles/PMC9127971/
[6].
https://www.whitehouse.gov/cea/written-materials/2024/07/10/potential-labor-market-impacts-of-artificial-intelligence-an-empirical-analysis/