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Masahito Kumagai, Kazuhiko Komatsu, Masayuki Sato and Hiroaki Kobayashi
Combinatorial clustering based on the Ising model is drawing attention as a high-quality clustering method. However, conventional Ising-based clustering methods using the Euclidean distance cannot handle irregular data. To overcome this problem, this pap...
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Ning Jin, Linlin Song, Gabriel Jing Huang and Ke Yan
Residential electricity consumption forecasting plays a crucial role in the rational allocation of resources reducing energy waste and enhancing the grid-connected operation of power systems. Probabilistic forecasting can provide more comprehensive infor...
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Qiong Chen, Hongyu Zhang, Yui-yip Lau, Kaiyuan Liu, Adolf K. Y. Ng, Weijie Chen, Qingmei Liao and Maxim A. Dulebenets
Maritime transportation is vital for the movement of cargo between different continents and distant locations but can be disrupted by the frequent occurrence of pirate attacks. Based on the pirate attacks from July 1994 to December 2019, a spatial analys...
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Jinnan Wang, Weiqin Tong and Xiaoli Zhi
Convolutional neural networks (CNNs) have made impressive achievements in image classification and object detection. For hardware with limited resources, it is not easy to achieve CNN inference with a large number of parameters without external storage. ...
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Sunkari Pradeep, Yogesh Kumar Sharma, Chaman Verma, Gutha Sreeram and Panugati Hanumantha Rao
Modern computers? network interface cards (NICs) are undergoing changes in order to handle greater data rates and assist with scaling problems caused by general-purpose CPU technology. The inclusion of programmable accelerators to the NIC?s data channel ...
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