Machine Learning and Optimization
Session Details:
Paper 1: A Classification Framework for Correlated Sample Space in Cognitive Radar
Authors: Mostafizur Rahaman Laskar, Indian Institute of Technology Kharagpur, India; and Debarati Sen, Indian Institute of Technology Kharagpur, India
Paper 2: A machine learning approach for detecting ultrasonic echoes in noisy environments
Authors: Mohamed-Elamir Mohamed, Valeo Schalter und Sensoren, Germany;Heinrich Gotzig, Valeo Schalter und Sensoren, Germany;Raoul Zoellner, Hochschule Heilbronn, Germany; and Patrick Maeder, Technische Universität Ilmenau, Germany
Paper 3: A New Anti-jamming Strategy Based on Deep Reinforcement Learning for MANET
Authors: Yingying Xu, Zhejiang University, China; Ming Lei, Zhejiang University, China; Min Li, Macquarie University, Australia; Minjian Zhao, Zhejiang University, China; and Bing Hu, Zhejiang University, China
Paper 4: Joint Vehicle Routing and Loading in Delivery Planning: A Stochastic Programming Approach
Authors: Naphat Ngoenriang, Vidyasirimedhi Institute of ScienceTechnology, Thailand;Suttinee Sawadsitang, Nanyang Technological University, Singapore;Chokchai Leangsuksun, Vidyasirimedhi Institute of ScienceTechnology, Thailand;Dusit Niyato, Nanyang Technological University, Singapore; and Puay Siew Tan, Singapore Institute of Manufacturing Technology (SIMTech) A*STAR, Singapore
Paper 5: Machine Learning-Driven Optimal Proactive Edge Caching in Wireless Small Cell Networks
Authors: Pei-Ying Lin, National Chiao Tung University, Taiwan;Hsiao-Ting Chiu, National Chiao Tung University, Taiwan; and Rung-Hung Gau, National Chiao Tung University, Taiwan
Session Category : Session