Tangles : A Structural Approach to Artificial Intelligence in the Empirical Sciences
Reinhard (Universitat Hamburg) Diestel
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Knowledge Discovery from Archaeological Materials
Pedro A. (Escuela Nacional de Antropologia e Historia) Lopez Garcia
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Machine Learning and Deep Learning Techniques for Medical Science
K. Gayathri (Anna University Chennai) Devi
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Internet of Things : Frameworks for Enabling and Emerging Technologies
Bharat Bhusan
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Advanced Sensing in Image Processing and IoT
Rashmi Gupta
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Artificial Intelligence and Causal Inference
Momiao (University of Texas School of Public Health, USA) Xiong
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Deeper Learning : A Voice from Laboratory to Classroom
Hang Hu
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Justice Matters : Spiritual Care and Pastoral Theological Imaginations in Times of the COVID-19 Pandemic
Kyungsig Samuel (Claremont School of Theology, USA) Lee
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Deep Learning in Biometrics
Mayank (IIIT Delhi, India) Vatsa
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Machine Learning : A Comprehensive Beginner's Guide
Akshay B R
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Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics : Techniques and Applications
Sujata (North Orissa University, Takatpur) Dash
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Artificial Intelligence in Healthcare and Medicine
Kayvan (Virginia Commonwealth University, Richmond, USA) Najarian
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Data Mining for Co-location Patterns : Principles and Applications
Guoqing Zhou
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Soft Computing in Materials Development and its Sustainability in the Manufacturing Sector
Amar (Malviya Nat Inst of Tech, Jaipur, India) Patnaik
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Machine Learning and Deep Learning in Efficacy Improvement of Healthcare Systems
Om Prakash (Ravenshaw University, Cuttack) Jena
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Algorithms of Anxiety : Fear in the Digital Age
Anthony (Flinders University) Elliott
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Deep Learning for Time Series Cookbook : Use PyTorch and Python recipes for forecasting, classification, and anomaly detection
Vitor Cerqueira
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Modern Computer Vision with PyTorch : A practical roadmap from deep learning fundamentals to advanced applications and Generative AI
V Kishore Ayyadevara
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Emerging ICT Technologies and Cybersecurity : From AI and ML to Other Futuristic Technologies
Kutub Thakur
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Explainable and Interpretable Reinforcement Learning for Robotics
Aaron M. Roth
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Machine Learning for Environmental Noise Classification in Smart Cities
Ali Othman Albaji
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MultiMedia Modeling : 30th International Conference, MMM 2024, Amsterdam, The Netherlands, January 29 – February 2, 2024, Proceedings, Part V
Stevan Rudinac
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