IEEE.orgIEEE Xplore Digital Library IEEE Standards IEEE SpectrumMore Sites
Machine Learning and Optimization - VTC2019-Spring

Machine Learning and Optimization

April 30, 2019
2:00 PM  -  3:30 PM
Starhill 8

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