Kaiser Md AbdullahAl,Datta Gourav,Wang Zixu,Jacob Ajey P,Beerel Peter A,Jaiswal Akhilesh R.Neuromorphic-P2M: processing-in-pixel-in-memory paradigm for neuromorphic image sensors.[J].Frontiers in neuroinformatics,2023.
Zaffar Haider Janjua,Massimo Vecchio,Mattia Antonini,Fabio Antonelli.IRESE: An intelligent rare-event detection system using unsupervised learning on the IoT edge[J].Engineering Applications of Artificial Intelligence,2019.
Al Machot Fadi,Elmachot Ali,Ali Mouhannad,Al Machot Elyan,Kyamakya Kyandoghere.A Deep-Learning Model for Subject-Independent Human Emotion Recognition Using Electrodermal Activity Sensors.[J].Sensors (Basel, Switzerland),2019.
Alessandro Scirè,Fabrizio Tropeano,Aris Anagnostopoulos,Ioannis Chatzigiannakis.Fog-Computing-Based Heartbeat Detection and Arrhythmia Classification Using Machine Learning[J].Algorithms,2019.
Shunliang Zhang.An Overview of Network Slicing for 5G.[J].IEEE Wireless Commun.,2019.
Ming-Xin Jiang,Tao Hai,Zhi-geng Pan,Haiyan Wang,Yinjie Jia,Chao Deng.Multi-Agent Deep Reinforcement Learning for Multi-Object Tracker.[J].IEEE Access,2019.
Jianying Zheng,Siyuan Yang,Xiang Wang,Xiaofang Xia,Yang Xiao 0001,Tieshan Li.A Decision Tree Based Road Recognition Approach Using Roadside Fixed 3D LiDAR Sensors.[J].IEEE Access,2019.
Huimin Lu,Yujie Li,Min Chen,Hyoungseop Kim,Seiichi Serikawa.Brain Intelligence: Go beyond Artificial Intelligence[J].Mobile Networks and Applications,2018.
Laura Fiorini,Filippo Cavallo,Paolo Dario,Alexandra Eavis,Praminda Caleb-Solly.Unsupervised Machine Learning for Developing Personalised Behaviour Models Using Activity Data[J].Sensors,2017.