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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 13 of 13  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
AI 2024-03-01
13:40
Aichi Room0221, Bldg.2-C, Nagoya Institute of Technology Applying Graph Neural Networks and Reinforcement Learning to the Multiple Depot-Multiple Traveling Salesman Problem
Dongyeop Kim, Toshihiro Matsui (NITech) AI2023-39
In this study, we introduce a method combining Graph Neural Networks (GNN) and reinforcement learning for the Multiple D... [more] AI2023-39
pp.13-18
HCS, CNR 2023-11-05
10:25
Tokyo Kogakuin University
(Primary: On-site, Secondary: Online)
Toward an Unmanned Store with an Emphasis on Efficiency in Product Replenishment
Shota Mizuno, Natsuki Kikuchi, Hisaya Nagata, Mitsuki Hayase, Yoshinobu Yamamoto (The University of Fukuchiyama) CNR2023-8 HCS2023-70
This paper describes the Remote Yatai Project as a solution to the difficulties of convenience store expansion in aging ... [more] CNR2023-8 HCS2023-70
pp.5-8
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2023-07-01
10:20
Okinawa OIST Conference Center
(Primary: On-site, Secondary: Online)
Solving the Traveling Salesman Problem Using Oscillator Interaction
Tomoaki Kinugasa (Tohoku Univ), Futo Ono, Kazuhiro Sakamoto (TMPU) NC2023-23 IBISML2023-23
In this study, a single Kuramoto oscillator is considered as a city, and the traveling salesman problem is tackled using... [more] NC2023-23 IBISML2023-23
pp.149-152
NLP 2021-12-18
10:15
Oita J:COM Horuto Hall OITA Analysis of consumers by age and gender in POS data based on Taylor's law
Kazuki Koyama, Mariko Ito, Takaaki Ohnishi (Rikkyo Univ.) NLP2021-57
System underlying purchase activity is hard to understand because of the heterogeneity in consumers’ behavior. However, ... [more] NLP2021-57
pp.61-66
COMP 2020-03-01
10:50
Tokyo The University of Electro-Communications
(Cancelled but technical report was issued)
Creating an Apple Watch sales forecasting system that analyzes Twitter
Yoshiaki Yagi, Mitsuhiro Iyoda (CIT) COMP2019-47
Abstract In the investigation, I will use Twitter tweets to predict sales based on emotions and demonstrate how importan... [more] COMP2019-47
pp.17-21
SWIM, SC 2018-08-24
11:10
Tokyo Housei Univ. The Cyberspace Revolution -- Reconsidering Logistics/supply Chain --
Shoei Komatsu (APSOM) SWIM2018-8 SC2018-15
Traditionally, logistics has been considered as a cost factor. However, now, business-to-business collaboration, that is... [more] SWIM2018-8 SC2018-15
pp.9-14
LOIS 2018-03-02
10:25
Okinawa Naha-City IT Souzoukan(Okinawa) The abstract of process discovery technique in the sales activity : The approach based on process mining
Yoshihito Nakayama (Tokyo Univ.), Masahiro Mori (INTRAMART), Yoshiaki Naruse, Hiroyuki Morikawa (Tokyo Univ.) LOIS2017-84
In sales activities in which results are influenced by judgment of the person, the means for eliminating the human depen... [more] LOIS2017-84
pp.77-80
LOIS, IPSJ-SPT, IPSJ-CN 2016-05-12
15:55
Tokyo   Suggestion of the Nomad Type Showroom Construction Method Realizing New Business Style
Rinsuke Uchida, Shunsuke Ikkanzaka, YUta Isono, Takuya Mizushima, Toru Kobayashi (Department of Engineering,Nagasaki Univ.) LOIS2016-5
We suggest the nomad type showroom construction method realizing new business on demand in customer’s ICT environment. S... [more] LOIS2016-5
pp.21-26
NC 2012-10-04
17:45
Fukuoka Kyushu Institute of Technology (Wakamatsu Campus) An Application of the Virtual Magnetic Diminuendo Method to Combinatorial Optimization Problems -- Towards Autonomous System for Effective Assignment --
Hiroshi Wakuya, Taichi Inoue, Hideaki Itoh, Hisao Fukumoto, Tatsuya Furukawa (Saga Univ.) NC2012-48
In general, there are quite a lot of constraints, when we try to solve actual combinatorial optimization problems. A fa... [more] NC2012-48
pp.67-72
NLC 2012-08-30
13:40
Kanagawa Fuji Xerox Extraction of Sentences Describing Problems from Sales Force Management System Texts.
Daigo Sugihara, Tomoko Ohkuma, Koji Satake, Yasuhide Miura, Keigo Hattori, Hiroshi Masuichi (Fuji Xerox) NLC2012-11
Sales persons are recommended to know customers' problems, because knowing customers' problems will lead to better propo... [more] NLC2012-11
pp.7-12
NLP 2011-03-11
13:30
Tokyo Tokyo University of Science Higher order neural network with stochastic logic
Takahiro Sota (Tohoku Univ.), Yoshihiro Hayakawa (Sendai National College of Technology), Shigeo Sato, Koji Nakajima (Tohoku Univ.) NLP2010-189
We have proposed the method to solve various combinatorial optimization problems such as Traveling Salesman Problems (TS... [more] NLP2010-189
pp.149-152
NC 2007-03-15
09:50
Tokyo Tamagawa University Fusion of ART and SOM and its engineering application potential
Masaru Takanashi, Hiroyuki Torikai, Toshimichi Saito (Hosei Univ.)
This paper considers fusion of Self-Organizing Maps (SOM) and Adaptive Resonance Theory (ART) network and its engineerin... [more] NC2006-170
pp.99-104
ISEC, SITE, IPSJ-CSEC 2006-07-21
10:20
Okayama Okayama Univ. Traveling Salesman Problem and Tribonacci Sequence
Kunikatsu Kobayashi, Seiichirou Kokubun (Yamagata Univ.)
We consider the relation between the cycle and cycle length of traveling salesman problem using tribonacci sequence. It ... [more] ISEC2006-42
pp.13-18
 Results 1 - 13 of 13  /   
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