http://localhost:8080/xmlui/handle/123456789/3983 Fri, 01 May 2026 13:40:35 GMT 2026-05-01T13:40:35Z http://localhost:8080/xmlui/handle/123456789/18426 A STUDY ON ADOPTING TECHNOLOGICAL SUSTAINABLE PRACTICES FOR EFFICIENT USE OF NATURAL RESOURCES IN INDIA Dongre, Rashmi; Namjoshi, Asmita; Nagarkar, Supriya An area's economy is determined by its resources. A nation can preserve these resources for future generations if these resources are used wisely. However, given the current conditions, it is extremely unlikely that future generations and emerging nations would be able to get their fair share due to the careless use of our contemporary resources. Furthermore, the repercussions are terrible, and the impact on the ecosystem will cause serious harm that exceeds the environment's carrying capacity. We have all heard various stories about how the natural ecosystems of the globe are coming under increasing pressure to sustainably feed a growing population. For a community to remain sustainable, natural resources must be preserved or managed. In the twenty-first century, the idea of sustainability has emerged as the go-to remedy for the world's environmental and economic crises. Since its conception, a flood of studies and literature have been published on the nebulousness and ambiguity of its definition and applicability. Emerging digital technologies are assisting enterprises, governments, and communities in managing natural resources. The sustainable use of natural resources through technology in India is a key component of sustainable development, and this research study takes a conceptual approach to it. Sun, 01 Jun 2025 00:00:00 GMT http://localhost:8080/xmlui/handle/123456789/18426 2025-06-01T00:00:00Z http://localhost:8080/xmlui/handle/123456789/18424 ROLE OF IOT ENABLED CIRCULAR ECONOMY IN SUSTAINABLE SUPPLY CHAIN MANAGEMENT Malani, Ashwini; Namjoshi, Asmita The integration of Internet of Things (IoT) technologies has emerged as a crucial key of circular economy principles. It mainly focuses on providing creative solutions to optimize waste management, maximize resource utilization, and promote sustainability in supply chains. The IoT-enabled circular economy combines capabilities of the Internet of Things (IoT) technology with the principles of the circular economy to create a more sustainable and efficient system of resource management. The role of IoT-enabled circular economy in sustainable supply chain management is pivotal for achieving environmental sustainability, resource efficiency, and economic viability. By integrating IoT technologies into the circular economy framework, organizations can transform their supply chains and drive positive impacts. Sun, 01 Jun 2025 00:00:00 GMT http://localhost:8080/xmlui/handle/123456789/18424 2025-06-01T00:00:00Z http://localhost:8080/xmlui/handle/123456789/18423 PREDICTION OF SHORT TERM SOLAR ENERGY IRRADIANCE USING DEEP LEARNING, EXPLAINABLE AI, AND GENERATIVE AI: A COMPARATIVE STUDY OF ECONOMIC FEASIBILITY AND MODEL ACCURACY Agrawal, K. P.; Parchure, Abhijit T. The authors of this paper explores the use of cutting-edge artificial intelligence (AI) technologies— specifically Deep Learning (DL), Explainable AI (XAI), and Generative AI (Gen AI)—for predicting solar energy irradiance. Given the critical role of accurate irradiance forecasting for optimizing solar energy production, this paper proposes a hybrid AI framework combining these technologies to improve prediction accuracy while ensuring economic feasibility. The proposed methodology integrates a DL-based model for time-series forecasting, with XAI techniques to enhance interpretability, and Gen AI to address data scarcity issues. We analyze the advantages and disadvantages of each technology in the context of solar energy prediction and provide recommendations on their practical deployment. The results show that the hybrid approach offers substantial improvements in forecasting accuracy and model transparency, making it a promising solution for real-world applications. Sun, 01 Jun 2025 00:00:00 GMT http://localhost:8080/xmlui/handle/123456789/18423 2025-06-01T00:00:00Z http://localhost:8080/xmlui/handle/123456789/18420 A REVIEW OF TECHNOLOGIES IN AUTONOMOUS VEHICLES USING ARTIFICIAL INTELLIGENCE Bhati, Reena G. Autonomous vehicles are transforming transportation by aiming to reduce accidents and traffic congestion. Despite notable advancements, challenges remain in addressing human behavior, ethical dilemmas, traffic management, and regulatory frameworks. Artificial Intelligence (AI) is at the forefront of these innovations, empowering vehicles to perceive their environment, make decisions, and operate with minimal human input. In this paper we explores AI-powered breakthroughs in object detection, route optimization, and real- time decision-making. It delves into the application of deep learning, predictive analytics, and reinforcement learning to improve safety and efficiency. Additionally, it discusses critical challenges, including data handling, safety validation, and compliance, emphasizing AI's pivotal role in shaping the future of autonomous driving. Sun, 01 Dec 2024 00:00:00 GMT http://localhost:8080/xmlui/handle/123456789/18420 2024-12-01T00:00:00Z