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S
Shady Salama
Ritsumeikan University
6
H指数
17
论文数
131
被引数
0
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4
发表时间
发表时间
IF
被引数
Transformer-Based Approach for Fitness Prediction in the Flexible Job Shop Scheduling Problem
基于Transformer的方法用于柔性作业车间调度问题中的健身预测
ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS. CYBER-PHYSICAL-HUMAN PRODUCTION SYSTEMS: HUMAN-AI COLLABORATION AND BEYOND, APMS 2025, PT VI
IF
0
2026-01-01
0
PRE
AI
Salama, Shady; Kovacs, Mate; Elangovan, Guhan
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Governors in the Digital Era: Analyzing and Predicting Social Media Engagement Using Machine Learning during the COVID-19 Pandemic in Japan
INFORMATICS-BASEL
IF
2.8
2024-04-07
0
OA
AI
Shady, Salama; Shoda, Vera Paola; Kamihigashi, Takashi
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Feature selection approach for evolving reactive scheduling policies for dynamic job shop scheduling problem using gene expression programming
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
IF
7.3
2022-06-30
10
PRE
AI
Shady, Salama; Kaihara, Toshiya; Fujii, Nobutada; Kokuryo, Daisuke
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A novel feature selection for evolving compact dispatching rules using genetic programming for dynamic job shop scheduling
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
IF
7.3
2022-03-29
26
PRE
AI
Shady, Salama; Kaihara, Toshiya; Fujii, Nobutada; Kokuryo, Daisuke
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研究方向
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合作学者
合作期刊
D
Daisuke Kokuryo
H 指数: 20 · 论文数: 191
T
Toshiya Kaihara
H 指数: 19 · 论文数: 439
T
Takashi Kamihigashi
H 指数: 17 · 论文数: 145
N
Nobutada Fujii
H 指数: 16 · 论文数: 332
M
Mate Kovacs
H 指数: 5 · 论文数: 32
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