1 | -- | 3 | Meikang Qiu, Sun-Yuan Kung, Qing Yang. Editorial: IEEE Transactions on Sustainable Computing, Special Issue on Smart Data and Deep Learning in Sustainable Computing |
4 | -- | 16 | G. S. Mahalakshmi 0001, G. Muthu Selvi, Sendhilkumar Selvaraju, Pandi Vijayakumar, Yongxin Zhu 0001, Victor Chang. Sustainable Computing Based Deep Learning Framework for Writing Research Manuscripts |
17 | -- | 28 | Jungmin Son, Rajkumar Buyya. Priority-Aware VM Allocation and Network Bandwidth Provisioning in Software-Defined Networking (SDN)-Enabled Clouds |
29 | -- | 38 | Ioanna Kakalou, Kostas E. Psannis. Sustainable and Efficient Data Collection in Cognitive Radio Sensor Networks |
39 | -- | 52 | Upul Jayasinghe, Gyu Myoung Lee, Tai-Won Um, Qi Shi. Machine Learning Based Trust Computational Model for IoT Services |
53 | -- | 66 | Minxian Xu, Adel Nadjaran Toosi, Rajkumar Buyya. iBrownout: An Integrated Approach for Managing Energy and Brownout in Container-Based Clouds |
67 | -- | 76 | LiangZhi Li, Kaoru Ota, Mianxiong Dong. Sustainable CNN for Robotic: An Offloading Game in the 3D Vision Computation |
77 | -- | 87 | Kostas E. Psannis, Christos Stergiou, Brij Bhooshan Gupta. Advanced Media-Based Smart Big Data on Intelligent Cloud Systems |
88 | -- | 95 | Amin Azmoodeh, Ali Dehghantanha, Kim-Kwang Raymond Choo. Robust Malware Detection for Internet of (Battlefield) Things Devices Using Deep Eigenspace Learning |
96 | -- | 108 | Ram Prasad Padhy, Feng Xia 0001, Suman Kumar Choudhury, Pankaj Kumar Sa, Sambit Bakshi. Monocular Vision Aided Autonomous UAV Navigation in Indoor Corridor Environments |
109 | -- | 117 | Yibin Li, Jia Si, Sile Ma, Xufeng Hu. Using Energy-Aware Scheduling Weather Forecast Based Harvesting for Reconfigurable Hardware |
118 | -- | 131 | Jianxin Li, Yingjie Cao, Yangyang Zhang, Md. Zakirul Alam Bhuiyan, Bo Li 0005. SPFC: An Effective Optimization for Vertex-Centric Graph Processing Systems |
132 | -- | 141 | Qingchen Zhang, Man Lin, Laurence T. Yang, Zhikui Chen, Peng Li. Energy-Efficient Scheduling for Real-Time Systems Based on Deep Q-Learning Model |