Enhancing Visitor Forecasting with Target-Concatenated Autoencoder and Ensemble Learning by Ray-I Chang, Chih-Yung Tsai, Yu-Wei Chang

Get full text

High‐Precision Prediction of Ionospheric TEC in the China Region Based on CMONOC High‐Resolution Data and an Auxiliary Attention Temporal Convolutional Network by Jianghe Chen, Pan Xiong, Haochen Wu, Xiaoran Zhang, Xuemin Zhang, Rongzi Chai, Ting Zhang, Kaixin Wang, Chaoyu Wang

Get full text

Optimising entanglement distribution policies under classical communication constraints assisted by reinforcement learning by Jan Li, Tim Coopmans, Patrick Emonts, Kenneth Goodenough, Jordi Tura, Evert van Nieuwenburg

Get full text

Additional Magnetic Field of Dual-parallel Rotor Permanent Magnet Synchronous Motor and Its Influence on Electromagnetic Torque by Yang Chen, Dajun Tao, Baojun Ge

Get full text

UAV-Assisted Unbiased Hierarchical Federated Learning: Performance and Convergence Analysis by Ruslan Zhagypar, Nour Kouzayha, Hesham ElSawy, Hayssam Dahrouj, Tareq Y. Al-Naffouri

Get full text

Automatic Differentiation‐Based Full Waveform Inversion With Flexible Workflows by Feng Liu, Haipeng Li, Guangyuan Zou, Junlun Li

Get full text

Effective 3C Resource Utilization and Fair Allocation Strategy for Multi-Task Federated Learning by Chaofeng Zhang, Mianxiong Dong, Kaoru Ota

Get full text

Multimodal Collaborative Perception for Dynamic Channel Prediction in 6G V2X Networks by Ghazi Gharsallah, Georges Kaddoum

Get full text

Energy-Efficient on-Board Radio Resource Management for Satellite Communications via Neuromorphic Computing by Flor Ortiz, Nicolas Skatchkovsky, Eva Lagunas, Wallace A. Martins, Geoffrey Eappen, Saed Daoud, Osvaldo Simeone, Bipin Rajendran, Symeon Chatzinotas

“…The latest Satellite Communication (SatCom) missions are characterized by a fully reconfigurable on-board software-defined payload, capable of adapting radio resources to the temporal and spatial variations of the system traffic. As pure optimization-based solutions have shown to be computationally tedious and to lack flexibility, Machine Learning (ML)-based methods have emerged as promising alternatives. …”
Get full text

Learning Energy-Efficient Transmitter Configurations for Massive MIMO Beamforming by Hamed Hojatian, Zoubeir Mlika, Jeremy Nadal, Jean-Francois Frigon, Francois Leduc-Primeau

Get full text

<monospace>TWIRLD</monospace>: Transformer Generated Terahertz Waveform for Improved Radio Link Distance by Shuvam Chakraborty, Claire Parisi, Dola Saha, Ngwe Thawdar

Get full text

A Deep Reinforcement Learning-Based Resource Scheduler for Massive MIMO Networks by Qing An, Santiago Segarra, Chris Dick, Ashutosh Sabharwal, Rahman Doost-Mohammady

Get full text

Hierarchically Federated Learning in Wireless Networks: D2D Consensus and Inter-Cell Aggregation by Jie Zhang, Li Chen, Yunfei Chen, Xiaohui Chen, Guo Wei

“…Decentralized federated learning (DFL) architecture enables clients to collaboratively train a shared machine learning model without a central parameter server. …”
Get full text

Prediction of Sea Surface Current Around the Korean Peninsula Using Artificial Neural Networks by Jeong‐Yeob Chae, Hyunkeun Jin, Inseong Chang, Young Ho Kim, Young‐Gyu Park, Young Taeg Kim, Boonsoon Kang, Min‐su Kim, Ho‐Jeong Ju, Jae‐Hun Park

Get full text

Mobility-Aware Federated Learning-Based Proactive UAVs Placement in Emerging Cellular Networks by Sanaullah Manzoor, Muhammad Zeeshan Shakir, Mazen O. Hasna, Khalid A. Qaraqe

Get full text

Convergence-Privacy-Fairness Trade-Off in Personalized Federated Learning by Xiyu Zhao, Qimei Cui, Weicai Li, Wei Ni, Ekram Hossain, Quan Z. Sheng, Xiaofeng Tao, Ping Zhang

Get full text

Anticipating Optical Availability in Hybrid RF/FSO Links Using RF Beacons and Deep Learning by Mostafa Ibrahim, Arsalan Ahmad, Sabit Ekin, Peter LoPresti, Serhat Altunc, Obadiah Kegege, John F. O'Hara

Get full text

PEGSGraph: A Graph Neural Network for Fast Earthquake Characterization Based on Prompt ElastoGravity Signals by Céline Hourcade, Kévin Juhel, Quentin Bletery

Get full text

Symbol Detection and Channel Estimation for Space Optical Communications Using Neural Network and Autoencoder by Abdelrahman Elfikky, Zouheir Rezki

Get full text

Hierarchical Reinforcement Learning for Multi-Layer Multi-Service Non-Terrestrial Vehicular Edge Computing by Swapnil Sadashiv Shinde, Daniele Tarchi

“…We aim to optimize the overall latency and energy requirements for processing the VU data by selecting the appropriate edge nodes and the offloading amount. …”
Get full text