Proceedings of the 6th International Conference on Deep Learning, Artificial Intelligence and Robotics (ICDLAIR 2024)
Conference: Proceedings of the 6th International Conference on Deep Learning, Artificial Intelligence and Robotics (ICDLAIR 2024)
Date: 16-17 December 2024
Location: Mangalore, India (Hybrid)
Website: https://icdlair2024.iaasse.org/ The 6th International Conference on Deep Learning, Artificial Intelligence, and Robotics (ICDLAIR 2024) marks a significant milestone in the ever-evolving fields of artificial intelligence (AI), robotics, and machine learning. Held at the National Institute of Tech nology (NIT), Kurukshetra, India, from December 6–8, 2024, this conference brought together researchers, academicians, engineers, and professionals from across the globe to discuss cutting-edge advancements, share knowledge, and foster collaborative initiatives within these dynamic fields. ICDLAIR 2024 was organized in collaboration with California State University, San Bernardino (CSUSB), USA, and the International Association of Academicians (IAASSE). The conference was not only a platform for presenting academic papers but also a venue for stimulating discussions and debates, contributing to the global dialogue on AI, robotics, and deep learning. The event aimed to address the challenges and opportunities posed by these transformative technologies, which continue to shape industries, healthcare, education, and societal dynamics in unprecedented ways. The rapid advancements in deep learning algorithms, machine learning models, and robotics have led to profound shifts in various sectors, making it essential for researchers and practitioners to come together and engage in multidisciplinary collaboration. ICD LAIR 2024 offered an opportunity to explore the latest trends in AI and robotics, ranging from novel neural network architectures to autonomous systems, reinforcement learning, computer vision, and robotics applications in industrial automation and healthcare. By bringing experts from diverse backgrounds, the conference provided a comprehensive exploration of these technologies’ multifaceted impact. The conference featured an impressive array of keynote speakers and distinguished researchers, who shared their expertise and insights into the future trajectory of AI, robotics, and deep learning. Topics covered ranged from foundational research in machine learning techniques to applied solutions for real-world problems. The multi disciplinary approach ensured that discussions were not limited to theory but extended into practical applications, enabling a holistic view of the technologies shaping the future. In addition to keynote addresses, ICDLAIR 2024 hosted numerous parallel sessions on specific themes, allowing participants to delve deeper into areas such as AI ethics, robotics for social good, and the integration of AI in Internet of things (IoT) systems. The proceedings of the conference feature papers that reflect the diversity and depth of these discussions. The papers encompass a wide range of topics, from theoretical research and novel methodologies to applied AI and robotics solutions that are already transforming industries. The collaboration between NIT Kurukshetra, CSUSB, and IAASSE ensured that ICDLAIR 2024 was not only a scientific meeting but also an intercultural exchange of ideas and perspectives. This global collaboration highlights the importance of cross border cooperation in addressing complex technological challenges and advancing knowledge across continents. As we look ahead, the proceedings of ICDLAIR 2024 stand as a testament to the remarkable progress being made in AI, deep learning, and robotics, and they serve as a valuable resource for those working at the forefront of these fields. It is our hope that the work presented in these proceedings will inspire further research and innovation, contributing to the ongoing evolution of AI and robotics for the benefit of humanity. We thank all participants, sponsors, and contributors for making ICDLAIR 2024 a resounding success and look forward to seeing the continued impact of these discussions in the years to come. Priyanka Ahlawat
Vijay Verma
Pratishtha Verma
Shweta Sharma
Date: 16-17 December 2024
Location: Mangalore, India (Hybrid)
Website: https://icdlair2024.iaasse.org/ The 6th International Conference on Deep Learning, Artificial Intelligence, and Robotics (ICDLAIR 2024) marks a significant milestone in the ever-evolving fields of artificial intelligence (AI), robotics, and machine learning. Held at the National Institute of Tech nology (NIT), Kurukshetra, India, from December 6–8, 2024, this conference brought together researchers, academicians, engineers, and professionals from across the globe to discuss cutting-edge advancements, share knowledge, and foster collaborative initiatives within these dynamic fields. ICDLAIR 2024 was organized in collaboration with California State University, San Bernardino (CSUSB), USA, and the International Association of Academicians (IAASSE). The conference was not only a platform for presenting academic papers but also a venue for stimulating discussions and debates, contributing to the global dialogue on AI, robotics, and deep learning. The event aimed to address the challenges and opportunities posed by these transformative technologies, which continue to shape industries, healthcare, education, and societal dynamics in unprecedented ways. The rapid advancements in deep learning algorithms, machine learning models, and robotics have led to profound shifts in various sectors, making it essential for researchers and practitioners to come together and engage in multidisciplinary collaboration. ICD LAIR 2024 offered an opportunity to explore the latest trends in AI and robotics, ranging from novel neural network architectures to autonomous systems, reinforcement learning, computer vision, and robotics applications in industrial automation and healthcare. By bringing experts from diverse backgrounds, the conference provided a comprehensive exploration of these technologies’ multifaceted impact. The conference featured an impressive array of keynote speakers and distinguished researchers, who shared their expertise and insights into the future trajectory of AI, robotics, and deep learning. Topics covered ranged from foundational research in machine learning techniques to applied solutions for real-world problems. The multi disciplinary approach ensured that discussions were not limited to theory but extended into practical applications, enabling a holistic view of the technologies shaping the future. In addition to keynote addresses, ICDLAIR 2024 hosted numerous parallel sessions on specific themes, allowing participants to delve deeper into areas such as AI ethics, robotics for social good, and the integration of AI in Internet of things (IoT) systems. The proceedings of the conference feature papers that reflect the diversity and depth of these discussions. The papers encompass a wide range of topics, from theoretical research and novel methodologies to applied AI and robotics solutions that are already transforming industries. The collaboration between NIT Kurukshetra, CSUSB, and IAASSE ensured that ICDLAIR 2024 was not only a scientific meeting but also an intercultural exchange of ideas and perspectives. This global collaboration highlights the importance of cross border cooperation in addressing complex technological challenges and advancing knowledge across continents. As we look ahead, the proceedings of ICDLAIR 2024 stand as a testament to the remarkable progress being made in AI, deep learning, and robotics, and they serve as a valuable resource for those working at the forefront of these fields. It is our hope that the work presented in these proceedings will inspire further research and innovation, contributing to the ongoing evolution of AI and robotics for the benefit of humanity. We thank all participants, sponsors, and contributors for making ICDLAIR 2024 a resounding success and look forward to seeing the continued impact of these discussions in the years to come. Priyanka Ahlawat
Vijay Verma
Pratishtha Verma
Shweta Sharma