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- Network Information Center
- First Birn
aka: Functional Imaging Research Schizophrenia Testbed-Biomedical Informatics Research Network - Federal Networking Council
- The Cancer Genome Atlas Research Network
- Dominantly Inherited Alzheimer Network (DIAN)
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- International Conference on Computer Graphics and Interactive Techniques (SIGGRAPH)
- International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
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- International Conference for High Performance Computing, Networking, Storage and Analysis (SC)
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Publication search results
found 916,754 matches
- 2025
- A. Poobalan, K. Ganapriya, K. Kalaivani, K. Parthiban:
A novel and secured email classification using deep neural network with bidirectional long short-term memory. Comput. Speech Lang. 89: 101667 (2025) - Di Wu, Peng Cheng, Yuying Zheng:
Seq2Seq dynamic planning network for progressive text generation. Comput. Speech Lang. 89: 101687 (2025) - Zhen Zhang, Mengqiu Liu, Xiyuan Jia, Gongxun Miao, Xin Wang, Hao Ni, Guohua Wu:
Improving text classification via computing category correlation matrix from text graph. Comput. Speech Lang. 89: 101688 (2025) - Diange Zhou, Shengwen Li, Lijun Dong, Renyao Chen, Xiaoyue Peng, Hong Yao:
C-KGE: Curriculum learning-based Knowledge Graph Embedding. Comput. Speech Lang. 89: 101689 (2025) - Angela Bonifati, Stefania Dumbrava, Haridimos Kondylakis, Georgia Troullinou, Giannis Vassiliou:
Progressive Querying on Knowledge Graphs. EDBT 2025: 106-118 - Nikolai Merkel, Daniel Stoll, Ruben Mayer, Hans-Arno Jacobsen:
An Experimental Comparison of Partitioning Strategies for Distributed Graph Neural Network Training. EDBT 2025: 171-184 - Fernando de Meer Pardo, Claude Lehmann, Dennis Gehrig, Andrea Nagy, Stefano Nicoli, Branka Hadji Misheva, Martin Braschler, Kurt Stockinger:
GraLMatch: Matching Groups of Entities with Graphs and Language Models. EDBT 2025: 1-12 - Zhuo Li, Tongtong Wang, Jindian Liu, Yu Zhang, Tianxiang Ma, Kaihua Liu:
TuplePick: A High Stability Packet Classification based on Neural Network. WoWMoM 2025: 377-382 - Frederick M. Chache, Caden J. Pici, Ramesh Bharadwaj:
Effects of Lossy Compression on the Value of Information in a Low Powered Network. WoWMoM 2025: 216-221 - Emma Chiaramello, Carla-Fabiana Chiasserini, Francesco Malandrino, Alessandro Nordio, Marta Parazzini, Alvaro Valcarce:
Cluster-then-Match: Efficient Management of Human-Centric, Cell-Less 6G Networks. WoWMoM 2025: 167-176 - Prakhar Consul, Ishan Budhiraja, Deepak Garg, Sachin Sharma, Ammar Muthanna:
Deep Reinforcement Learning Based Resource Allocation Method in Future Wireless Networks with Blockchain Assisted MEC Network. WoWMoM 2025: 289-294 - Xingyun He, Hu Liu, Wuyungerile Li, Alvin C. Valera, Winston K. G. Seah:
EABC: Energy-aware Centrality-based Caching for Named Data Networking in the IoT. WoWMoM 2025: 259-268 - Peijun Hou, Nan Cen:
DC-PPO for Joint User Association and Power Allocation in Dynamic Indoor Hybrid VLC/RF Networks. WoWMoM 2025: 186-195 - Farzaneh Ghasemi Javid, Mouhamad Dieye, Felipe Estrada Solano, Roch H. Glitho, Halima Elbiaze, Wessam Ajib:
A hybrid NFV/In-Network Computing MANO Architecture for provisioning Holographic Applications in the Metaverse. WoWMoM 2025: 99-104 - Maryam Ataei Kachooei, Jae Chung, Feng Li, Benjamin Peters, Joshua Chung, Mark Claypool:
Improving TCP Slow Start Performance in Wireless Networks with SEARCH. WoWMoM 2025: 279-288 - Chamara Madarasingha, Thilini Dahanayaka, Kanchana Thilakarathna, Suranga Seneviratne, Young Choon Lee, Salil S. Kanhere, Albert Y. Zomaya, Aruna Seneviratne, Phil Ridley:
Demo: P4 Based In-network ML with Federated Learning to Secure and Slice IoT Networks. WoWMoM 2025: 304-306 - Chunwei Miao, Jian Zhang, Jiaqi Huang, Jinhong Yang:
A Graph Neural Network Power Allocation Algorithm Based on Fully Unrolled WMMSE. WoWMoM 2025: 138-146 - Subhramoy Mohanti, Akshay Malhotra, Muhammad Umar Bin Farooq, Jaideep Chandrashekar:
PROMPT: Prediction of Channel Metrics for Proactive Optimization in Cellular Networks. WoWMoM 2025: 370-376 - Sabrina Pochaba, Peter Dorfinger, Matthias Herlich, Roland Kwitt, Simon Hirlaender:
Ph.D. Forum: Multi-Agent Reinforcement Learning in Wireless Network Communication. WoWMoM 2025: 317-318 - Sabrina Pochaba, Christian Maier, Matthias Herlich, Peter Dorfinger:
WIP: An Open Data Set about Multi-Provider Redundancy in Cellular Networks. WoWMoM 2025: 359-362 - Savindu Wannigama, Arunan Sivanathan, Ayyoob Hamza, Hassan Habibi Gharakheili:
Unveiling Behavioral Transparency of Protocols Communicated by IoT Networked Assets. WoWMoM 2025: 39-44 - Xiangdong Yang, Huaiwen He, Hong Shen, Aiguo Chen, Hui Tian:
Efficient Binary Task Offloading Optimization in Large-Scale IoT Networks via UAV-Enhanced Mobile Edge Computing. WoWMoM 2025: 33-38 - 2024
- Christelle Caillouet:
Modélisation et Optimisation des réseaux sans fil: De l'usage des drones aux réseaux LoRaWAN. (Modelling and Optimizing wireless networks: FANET and LoRaWAN). Côte d'Azur University, Nice, France, 2024 - Carito Guziolowski:
Modeling Biological Networks as Logic Programs. (Modélisation de réseaux biologiques à l'aide des programmes logiques). Nantes University, France, 2024 - Fragkiskos D. Malliaros:
A Machine Learning Tour in Network Science. University of Paris-Saclay, France, 2024 - Nicolas Tremblay:
Graph signals, structures and sketches. Grenoble Alpes University, France, 2024 - Vineeth S. Varma:
Control, optimization and games for networked dynamical systems. University of Lorraine, Nancy, France, 2024 - Francesco Bianconi:
Data and Process Visualisation for Graphic Communication - A Hands-on Approach with Python. Springer 2024, ISBN 978-3-031-57050-6, pp. 3-191 - Anna Förster, Pietro Manzoni, Enrique Hernández-Orallo, Koojana Kuladinithi, Asanga Udugama:
Opportunistic Networks - Concepts and Systems. Springer 2024, ISBN 978-3-031-47865-9, pp. 1-194 - Yunhao Liu, Zheng Yang:
Location, Localization, and Localizability - Location-awareness Technology for Wireless Networks, Second Edition. Springer 2024, ISBN 978-981-97-3175-6, pp. 1-202
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