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JACIII Most Downloaded Papers, Feb. 2019
| This month | Last month | Vol. No. | Title / Authors | Keywords |
|---|---|---|---|---|
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9 | Vol.23 No.1 (2019) |
Computational Comparison of Major Proposed Methods for Graph Partitioning Problem Helmi Md Rais, Saad Adnan Abed, and Junzo Watada |
graph partitioning problem, hill climbing, simulated annealing, tabu search, multilevel approaches |
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- | Vol.21 No.2 (2017) |
Artificial Neural Network Based Step-Length Prediction Using Ultrasonic Sensors from Simulation to Implementation in Shoe-Type Measurement Device Romy Budhi Widodo and Chikamune Wada |
step-length, prediction, applied neural network, shoe-type measurement device, ultrasonic |
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2 | Vol.21 No.7 (2017) |
Online Control of a Virtual Object with Collaborative SSVEP Hideaki Touyama and Mitsuru Sakuda |
brain-computer interface (BCI), steady-state visually evoked potential (SSVEP), collaborative SSVEP, virtual reality (VR) |
|
1 | Vol.21 No.2 (2017) |
A Survey of Video-Based Crowd Anomaly Detection in Dense Scenes Junjie Ma, Yaping Dai, and Kaoru Hirota |
survey, anomaly detection, dense crowd scenes, crowd density estimation, abnormal event detection |
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9 | Vol.23 No.1 (2019) |
TSV Manufacturing Fault Modeling and Diagnosis Based on Multi-Tone Dither Yuling Shang, Min Tan, Chunquan Li, and Liyuan Sun |
fault diagnosis, multi-tone dither test, TSV, electrical model of manufacturing fault, multi-tone signal |
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- | Vol.21 No.5 (2017) |
Comparison Between Reinforcement Learning Methods with Different Goal Selections in Multi-Agent Cooperation Fumito Uwano and Keiki Takadama |
multi-agent system, reinforcement learning, internal reward, coooperation |
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9 | Vol.21 No.5 (2017) |
Exploitation-Oriented Learning with Deep Learning – Introducing Profit Sharing to a Deep Q-Network – Kazuteru Miyazaki |
reinforcement learning, deep learning, deep reinforcement learning, profit sharing, deep Q-network |
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9 | Vol.23 No.1 (2019) |
A Dynamic Recommender System with Fused Time and Location Factors Xinhua Wang, Peng Yin, Yukai Gao, and Lei Guo |
dynamic recommender system, user preferences, time and location, expert discovery |
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10 | Vol.22 No.6 (2018) |
Simultaneous Forecasting of Meteorological Data Based on a Self-Organizing Incremental Neural Network Wonjik Kim and Osamu Hasegawa |
self-organizing incremental neural network, topology, forecasting model, meteorology, neural network |
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- | Vol.23 No.1 (2019) |
Evaluation of Vital Data by Presenting Feeling of Presence Using Modulated Infrared Rays Hidenori Sakaniwa |
feeling of presence, far-infrared ray, stimulation, vital data |
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8 | Vol.23 No.1 (2019) |
Noise Removal Method for Unmanned Aerial Vehicle Data to Estimate Water Quality of Miharu Dam Reservoir, Japan Shin Totsuka, Yoichi Kageyama, Masato Ishikawa, Bunyu Kobori, and Daisuke Nagamoto |
blue-green algae, UAV, water quality |
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10 | Vol.22 No.6 (2018) |
Image Classification Combined with Fusion Gaussian–Hermite Moments Feature and Improved Nonlinear SVM Classifier Li Wan |
Gaussian–Hermite moments, support vector machines, medical image classification computer-aided diagnosis, imaging diagnosis |
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- | Vol.22 No.5 (2018) |
Evolutionary Acquisition of Autonomous Specialization in a Path-Formation Task of a Robotic Swarm Motoaki Hiraga, Toshiyuki Yasuda, and Kazuhiro Ohkura |
evolutionary robotics, task allocation, division of labor, task specialization |
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9 | Vol.22 No.5 (2018) |
Research on Moving Target Tracking Algorithm Based on Lidar and Visual Fusion Xiaoxiao Guo, Yuansheng Liu, Qixue Zhong, and Mengna Chai |
autonomous vehicles, target tracking, multi-sensor fusion, data association |
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- | Vol.22 No.6 (2018) |
Rough Set-Based Clustering Utilizing Probabilistic Memberships Seiki Ubukata, Hiroki Kato, Akira Notsu, and Katsuhiro Honda |
clustering, rough set theory, rough C-means, rough set C-means, rough membership C-means |
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6 | Vol.22 No.7 (2018) |
The Macroeconomic Effect of Disaster Shocks in MRS-DSGE Models Shangfeng Zhang, Siwa Xu, Xiaohui Luo, Yue Sun, Yinan Yang, and Bing Xu |
rare disaster risk, economic volatility, DSGE model, financial accelerator |
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- | Vol.23 No.1 (2019) |
Component Fusion Image Encryption Method Based on Hybrid Chaotic Model Shuiqing Xiao, Songbo Wang, Caihong Ye, and Yuan Gao |
hybrid chaotic model, component fusion image, encryption method |
Count period : February 1-28, 2019