Advances in Data-Driven Computing and Intelligent Systems
Selected Papers from ADCIS 2024, Volume 4
Seiten
2026
Springer Nature Switzerland AG (Verlag)
978-981-96-7139-7 (ISBN)
Springer Nature Switzerland AG (Verlag)
978-981-96-7139-7 (ISBN)
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This book is a collection of best-selected research papers presented at the International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2024) held at BITS Pilani, K K Birla Goa Campus, Goa, India, during September 20–21, 2024. It includes state-of-the-art research work in the cutting-edge technologies in the field of data science and intelligent systems. The book presents data-driven computing; it is a new field of computational analysis which uses provided data to directly produce predictive outcomes. The book is useful for academicians, research scholars, and industry persons.
Optimizing Traffic Signal Timings in Urban Intersections A Methodology Incorporating PCU and Lane Width.- Texture Feature Analysis and Clustering of Remotely Sensed Data using Gray Level Co-occurrence Matrix and Haralick Features.- Comparative Analysis of Deep Learning Models for VM Load Prediction.- Optimizing Task Allocation in Cloud Computing Environments using Hybrid Meta-heuristic Algorithms.- Contrastive Scenarios Enhancing ML Model Interpretability.
| Erscheinungsdatum | 20.07.2025 |
|---|---|
| Reihe/Serie | Lecture Notes in Networks and Systems |
| Zusatzinfo | 218 Illustrations, color; 66 Illustrations, black and white |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Technik ► Elektrotechnik / Energietechnik | |
| Technik ► Nachrichtentechnik | |
| Schlagworte | ADCIS 2024 Proceedings • Artificial Intelligence • Computational Engineering • Data Science • Intelligent Systems • machine learning |
| ISBN-10 | 981-96-7139-6 / 9819671396 |
| ISBN-13 | 978-981-96-7139-7 / 9789819671397 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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