Guanglin Zhang, Ping Zhao, Anqi Zhang: Privacy Preservation in Distributed Systems - Algorithms and Applications.Springer2024, ISBN 978-3-031-58012-3, pp. 3-254
Hu Zhu, Yushan Pan, Lizhen Deng, Guoxia Xu: Infrared Small Target Detection - Theory, Methods, and Algorithms.Springer2024, ISBN 978-981-99-9798-5, pp. 1-168
Brij B. Gupta, Amrita Dahiya, Elhadj Benkhelifa: SDN and NFV - A New Dimension to Virtualization.World Scientific Series on Future Computing Paradigms and Applications 2, WorldScientific2024, ISBN 9789811254871, pp. 1-292
Brij B. Gupta, Mamta: Big Data Management and Analytics.World Scientific Series on Future Computing Paradigms and Applications 1, WorldScientific2024, ISBN 9789811257117, pp. 1-288
Suman Gupta, Peter H. Tu: The Practical Philosophy of AI-Assistants - An Engineering-Humanities Conversation.WorldScientific2024, ISBN 9781800614154, pp. 1-280
Khee Meng Koh, Fengming Dong, Eng Guan Tay: Introduction to Graph Theory - With Solutions to Selected Problems.WorldScientific2024, ISBN 9789811284816, pp. 1-308
Gabriel Oluwatosin Adeneye: Instructional Design and Technology Through the Years: A Bibliometric Analysis of Educational Technology Research and Development (ETRandD) Journal. Virginia Tech, Blacksburg, VA, USA, 2024
De'Aira G. Bryant: Bias in the Eyes of the Beholder: Development of a Bias-Aware Facial Expression Recognition Algorithm for Autonomous Agents. Georgia Institute of Technology, Atlanta, GA, USA, 2024
Gaby Budel: Complementarity and Similarity in Complex Networks. Delft University of Technology, Netherlands, 2024
Filipe Goulart Cabral: Optimal planning for electrification of public transit systems and infinite-dimensional linear programming. Georgia Institute of Technology, Atlanta, GA, USA, 2024
Borja Rodríguez Gálvez: An Information-Theoretic Approach to Generalization Theory. Royal Institute of Technology, Stockholm, Sweden, 2024
Upma Gandhi: Applying Reinforcement Learning to Physical Design Routing. University of Calgary, Alberta, Canada, 2024
Daniel Gedon: On Deep Learning for Low-Dimensional Representations. Uppsala University, Sweden, 2024
Matthew Lane Gilmartin: Uncertainty-Based Methodology for the Development of Space Domain Awareness Architectures in Three-Body Regimes. Georgia Institute of Technology, Atlanta, GA, USA, 2024
Francesco Giuliari: Spatial Reasoning with Graph Neural Networks. University of Genoa, Italy, 2024
Zachary Lee Glick: Affordable Quantum Chemistry via Data-Driven and Local Approximations to Non-Covalent Interactions. Georgia Institute of Technology, Atlanta, GA, USA, 2024
Anupam Golder: Physical Side-Channel Vulnerability Assessment of Implementations of Cryptographic Algorithms. Georgia Institute of Technology, Atlanta, GA, USA, 2024
Rui Gong: Towards Practical Domain Adaptation for Scene Understanding. ETH Zurich, Zürich, Switzerland, 2024
Jiaying Gong: Few-Shot and Zero-Shot Learning for Information Extraction. Virginia Tech, Blacksburg, VA, USA, 2024
Hollis J. Greenberg: Heed the Warning Signs: The Effectiveness of Message Popup Warnings for Deterring the Spread of Misinformation. Nova Southeastern University, Fort Lauderdale, Florida, USA, 2024
Marco Marten Grond: Predicting the Movement of Occluded Objects Using Motion Models and Statistical Tracking. University of Calgary, Alberta, Canada, 2024
Quan Guo: Physics Informed Deep Learning Application In High-Dimensional Groundwater Inverse Modeling Of Hydraulic Tomography. Georgia Institute of Technology, Atlanta, GA, USA, 2024
Ekansh Gupta: Transfer learning for brain signals using optimal transport. Georgia Institute of Technology, Atlanta, GA, USA, 2024
Gabriel S. Gusmão: Neural-network representations of chemical kinetics. Georgia Institute of Technology, Atlanta, GA, USA, 2024
Gazi Karam Illahi: On Improving QoE of Remote Rendered Graphics. Aalto University, Espoo, Finland, 2024
Sylvie Koziel: Data management improvements in the electrical grid: a pathway to a smarter cyber-physical system ; Datahanteringsförbättringar i elnätet: en väg till ett smartare cyberfysiskt system. Royal Institute of Technology, Stockholm, Sweden, 2024
Elisa Gómez de Lope: Interpreting Omics Data in Parkinson's Disease: A Statistical, Machine Learning, and Graph Representation Learning Approach. University of Luxembourg, Luxembourg City, Luxembourg, 2024
Giovanni Luca Marchetti: On Symmetries and Metrics in Geometric Inference. Royal Institute of Technology, Stockholm, Sweden, 2024
Juan Carlos Guzmán: Practices for Scope Management in Change Programs. University of Tampere, Finland, 2024