River Publishers Series in Proceedings
Dr M. Rajesh, Professor, Department of Computer Engineering and Sanjivani College of Engineering, Kopargaon, India
N Manikandan, Department of Datascience and Business systems, School of Computing, College of Engineering and Technology, Faculty of Engineering and Technology, SRM Institute of Science and Technology, SRM Nagar, Kattankulathur, Chennai, TN, India
It is with great pleasure and enthusiasm that we present the International Conference on Recent Trends in Data Science and its Applications (ICRTDA 2023). This conference, organized as an in-person participation event, will take place at the prestigious SRM Institute of Science and Technology – (Deemed University), Kattankulathur, on 30th and 31st March 2023.
The world of technology is constantly evolving, and data science has emerged as a powerful force driving innovation and transforming various industries. ICRTDA 2023 aims to be at the forefront of this dynamic field, providing a platform for researchers, academics, industry professionals, and students to come together, interact, and share their experiences and knowledge on the latest trends and recent advances in data science and its applications.
Our conference serves as an international forum where participants from diverse backgrounds can converge to discuss the challenges and opportunities that data science presents. With an interdisciplinary approach, ICRTDA 2023 bridges the gap between theory and practice, bringing together experts from both academia and industry to foster collaboration and exchange cutting-edge developments in the field.
In today's fast-paced world, networking and collaboration are essential for personal and professional growth. ICRTDA 2023 offers numerous opportunities for attendees to meet like-minded individuals and potential collaborators, creating a stimulating environment for the exchange of ideas and forging new partnerships. We believe that the connections made during this conference will not only enhance careers but also contribute to the collective advancement of the data science community.
The call for papers has been met with overwhelming responses from scholars, authors, faculty members, students, and professionals alike. The range of topics covered in the conference program reflects the diversity of research and innovation in the data science domain. From big data and machine learning to robotics, social computing, and smart healthcare, ICRTDA 2023 embraces the vast expanse of data-driven technologies that shape the world we live in.
At the SRM Institute of Science and Technology, we are committed to promoting excellence in education and research. We are proud to host ICRTDA 2023 and provide an ideal setting for sharing knowledge, exploring novel ideas, and fostering intellectual growth.
We extend our heartfelt gratitude to the organizing committee, the esteemed keynote speakers, session chairs, and all the participants who have contributed to making ICRTDA 2023 a reality. Your dedication and support have been instrumental in shaping this conference into a remarkable and enriching event.
As we embark on this exciting journey of discovery and innovation, we look forward to the valuable contributions and lively discussions that will undoubtedly enrich our understanding of data science and its vast applications. Let us join hands to advance the frontiers of knowledge, explore new possibilities, and chart a path towards a more data-driven and interconnected world.
Thank you all for being a part of ICRTDA 2023, and we wish you a fruitful and rewarding conference experience.
Dr. M. Rajesh,
Professor, Department of Computer Engineering,
Sanjivani College of Engineering, Kopargaon, India.
Department of Datascience and Business systems,
School of Computing,
College of Engineering and Technology,
Faculty of Engineering and Technology,
SRM Institute of Science and Technology,
SRM Nagar, Kattankulathur, Chennai, TN, India
Article 29: Machine Learning Methods for Balanced and Imbalanced Datasets to Predict Consumable Water
by S. Varshaa Sai Sripriya, Ganesh Kumar Chellamani, G. Premalatha