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ORCID10th IWCIA 2017: Hiroshima, Japan
- 10th IEEE International Workshop on Computational Intelligence and Applications, IWCIA 2017, Hiroshima, Japan, November 11-12, 2017. IEEE 2017, ISBN 978-1-5386-0469-4
- Yukinobu Hoshino:
Hardware/Software co-design SoC-system for a neural network trained by particle swarm optimization. 1 - Takaaki Yamada, Tatsuhiro Sato, Kenji Oguma, Tsutomu Miyauchi:
A study on real-time rescheduling with delayed departure control using linear programming. 3-7 - Shuhei Kawaguchi, Yoshikazu Fukuyama:
Reactive tabu search for job-shop scheduling problems considering energy management. 9-14 - Daiji Sakurai, Yoshikazu Fukuyama, Adamo Santana, Yu Kawamura, Kenya Murakami, Tatsuya Iizaka, Tetsuro Matsui:
Estimation of missing data of showcase using artificial neural networks. 15-18 - Hotaka Yoshida, Yoshikazu Fukuyama:
Dependable parallel multi-population different evolutionary particle swarm optimization for voltage and reactive power control in electric power systems. 19-24 - Zehai Gao, Cunbao Ma, Yige Luo:
RUL prediction for IMA based on deep regression method. 25-31 - Wei-Jen Wang, Tsung-Ming Hsu, Tzu-Sung Wu:
The improved pure pursuit algorithm for autonomous driving advanced system. 33-38 - Tatsuya Kokubo, Yoshikazu Fukuyama:
Generation methods of neighborhood schedules for practical train crew scheduling problems using tabu search. 39-44 - Asuka Hashimoto, Nao Ito, Ryuichi Matoba, Yoshinobu Maeda:
Improvement and evaluation of an evacuation behavior simulation model. 45-48 - Shohei Kidani, Nao Ito, Ryuichi Matoba, Yoshinobu Maeda:
Proposal for DTN routing using helping behavior. 49-54 - Yuya Shiraishi, Yasufumi Takama:
Proposal on matrix-based collaborative filtering using personal values. 55-60 - Yosuke Sakamoto, Yasufumi Takama:
Proposal of sentiment-based tourist spot recommendation system using RDF database. 61-66 - Jun Yu, Hideyuki Takagi:
Estimation of the convergence points of a population using an individual pool. 67-72 - Yoshifumi Moriyama, Ichiro Iimura, Shigeru Nakayama:
Investigation on introducing qubit convergence measure to QEA in maximum cut problem. 73-78 - Steffan Boodhoo, Patrick Hosein:
On the distributed optimization of calendar events. 79-84 - Shubu Yoshida, Tomohiro Harada
, Ruck Thawonmas:
Multimodal genetic programming by using tree structure similarity clustering. 85-90 - Shunta Nakano, Motonobu Hattori:
Reduction of catastrophic forgetting in multilayer neural networks trained by contrastive Hebbian Learning with pseudorehearsal. 91-95 - Shin Kamada, Takumi Ichimura:
Shortening time required for adaptive structural learning method of deep belief network with multi-modal data arrangement. 97-102 - Yoshitaka Fujii, Takumi Ichimura:
An evaluation of distillation deep learning network architecture. 103-108 - Hiroshi Sho:
Particle multi-swarm optimization: A proposal of multiple particle swarm optimizers with information sharing. 109-114 - Jun-ichi Kushida, Akira Hara, Tetsuyuki Takahama, Naoya Mimura:
Cartesian ant programming introducing symbiotic relationship between ants and aphids. 115-120 - Murman Dwi Prasetio, Tomohiro Hayashida, Ichiro Nishizaki, Shinya Sekizaki:
Structural optimization of deep belief network theorem for classification in speech recognition. 121-128 - Satoru Kimura, Haruhiko Takase, Hiroharu Kawanaka, Shinji Tsuruoka:
Supporting system for descriptive quiz - Extract keywords causing students' lacking self-confidence. 129-133 - Keiichi Tamura, Takumi Ichimura:
MACD-histogram-based recurrence plot: A new representation for time series classification. 135-140 - SeungYong Yoon, Hirohisa Seki:
Towards efficient mining of non-redundant recurrent rules from a sequence database. 141-146 - Sufeng Niu, A. M. Koushik, Rui Ma, Koon Hoo Teo, Shintaro Shinjo, Yuji Komatsuzaki:
Stochastically approximated multiobjective optimization of dual input digital Doherty Power Amplifier. 147-152 - Masayuki Kobayashi, Masanori Suganuma, Tomoharu Nagao:
Generative adversarial network for visualizing convolutional network. 153-158 - Shenshen Gu, Lu Ding, Yue Yang, Xinyi Chen:
A new deep learning method based on AlexNet model and SSD model for tennis ball recognition. 159-164 - Hiroyuki Yamamoto, Tomohiro Hayashida, Ichiro Nishizaki, Shinya Sekizaki:
Development of interactive multi-objective reinforcement learning considering preference structure of a decision maker. 165-169 - Kazuki Mori, Suguru Ito, Tomohiro Harada, Ruck Thawonmas, Kyung-Joong Kim:
Feature extraction of gameplays for similarity calculation in gameplay recommendation. 171-176 - Diana Purwitasari, Chastine Fatichah, I. Ketut Eddy Purnama, Surya Sumpeno, Mauridhi Hery Purnomo:
Inter-departmental research collaboration recommender system based on content filtering in a cold start problem. 177-184 - Shogo Nishiyama, Shinya Sekizaki, Ichiro Nishizaki, Tomohiro Hayashida:
Analysis of cooperative structure of demand response and market strategy of aggregator based on payoff allocation. 185-190 - Fumiya Tokuhara, Tetsuhiro Miyahara, Tetsuji Kuboyama, Yusuke Suzuki, Tomoyuki Uchida:
Acquisition of multiple block preserving outerplanar graph patterns by an evolutionary method for graph pattern sets. 191-197 - Chaiyan Jettanasen, Atthapol Ngaopitakkul, Dimas Anton Asfani, I Made Yulistya Negara:
Fault classification in transformer using low frequency component. 199-202 - Toan Huy Bui, Noppadol Maneerat, Ukrit Watchareeruetai:
Detection of cotton wool for diabetic retinopathy analysis using neural network. 203-206 - Tatsuhiro Sakai, Keiichi Tamura, Hajime Kitakampd, Toshiyuki Takezawa:
Photo image classification using pre-trained deep network for density-based spatiotemporal analysis system. 207-212 - Kazuki Nakada, Keiji Miura:
A topology-based approach for feature extraction from 3D motion gesture. 213-218 - Shota Hayashi, Hiroharu Kawanaka, Haruhiko Takase, Shinji Tsuruoka:
Significant feature descriptors for dementia evaluation using simple graphics. 219-222
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