Program / GS-19: Learning, Optimization, and Fuzzy Reasoning for Intelligent Applications

GS-19: Learning, Optimization, and Fuzzy Reasoning for Intelligent Applications

November 04 (Wednesday) · 10:30–12:30 · Room 5

Chair: Kei Ohnishi (Kyushu Institute of Technology)

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10:30–10:45Paper ID: 1001Late Breaking

Multi-Class Waste Classification and Detection Using YOLO

Achmad Pratama, Rifai (Universitas Gadjah Mada)*; Stefani Kumala Dewi Wijayanti (Universitas Gadjah Mada)

10:45–11:00Paper ID: 1004Late Breaking

Cost-Aware Soft-Sensor Design for Natural-Gas Wobbe-Index Prediction from Fixed-Channel Raman Spectra

Amine Haboub (Qatar Environment and Energy Institute)*; Brahim Aissa

11:00–11:15Paper ID: 1007Late Breaking

A Repair Operator with Reduced Computational Cost for Edge Assembly Crossover

Takeru Hiragi (Kansai University)*; Masaki Kohori (Kansai University); Yoshiko Hanada (Kansai University)

11:15–11:30Paper ID: 1011Late Breaking

Comparative Study of Teacher Intervention Strategies for Deep Reinforcement Learning

Makoto Ikeda (Osaka Metropolitan University)*; Akira Notsu (Osaka Metropolitan University)

11:30–11:45Paper ID: 1012Late Breaking

A Linguistic Approach to Circular Intuitionistic Fuzzy Sets

Binyamin Yusoff (Universiti Malaysia Terengganu)*; Siti Nuraini Rahim

11:45–12:00Paper ID: 1013Late Breaking

A Perception Method for Autonomous Driving Integrating Image?to?Point?Cloud Generation and Semantic Segmentation

Chih-Yuan Hsu (Automotive Research & Testing Center)*; Hsin-Tung Ma (Automotive Research & Testing Center); Yun-Ling Chang (Automotive Research & Testing Center); Pu-Chun Chen, (Automotive Research & Testing Center); Zih-Hao Wang (Automotive Research & Testing Center)

Presentations finish at 12:00. The scheduled session ends at 12:30.

Full paper: 15 minutes presentation + 5 minutes Q&A. Short, abstract-only and late breaking papers: 10 minutes presentation + 5 minutes Q&A. Speakers should bring their own laptop; presentation PCs are not provided.