single-mostdl.php

JACIII Most Downloaded Papers, Feb. 2019

This month Last month Vol. No. Title / Authors Keywords
No.1 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
No.2 - 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
No.2 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)
No.2 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
No.3 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
No.4 - 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
No.4 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
No.5 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
No.5 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
No.5 - 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
No.5 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
No.5 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
No.5 - 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
No.5 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
No.5 - 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
No.5 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
No.5 - 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

*This site is desgined based on HTML5 and CSS3 for modern browsers, e.g. Chrome, Firefox, Safari, Edge, Opera.

Last updated on Oct. 11, 2024