Nhat-To Huynh

Nhà nghiên cứu Hồ sơ 6/10

16 công bố · 714 trích dẫn · h-index 10

Thông tin

🏛️Nơi công tác: Đại học Đà Nẵng
🔬Lĩnh vực: Toán học
🆔ORCID: 0000-0002-1128-3494
✍️Hồ sơ chưa đầy đủ — bổ sung thông tin

Chỉ số h-index 10 xếp học giả này vào lĩnh vực Toán học, thuộc nhóm 10% dẫn đầu trong 1.789 hồ sơ cùng lĩnh vực của danh bạ này.

Công bố tiêu biểu

Predicting energy consumption in multiple buildings using machine learning for improving energy efficiency and sustainability387 trích dẫn
Journal of Cleaner Production · 2020 · DOI

A hybrid multi-subpopulation genetic algorithm for textile batch dyeing scheduling and an empirical study61 trích dẫn
Computers & Industrial Engineering · 2018 · DOI

Proposing a hybrid metaheuristic optimization algorithm and machine learning model for energy use forecast in non-residential buildings57 trích dẫn
Scientific Reports · 2022 · DOI

An Ensemble Machine Learning Model for Enhancing the Prediction Accuracy of Energy Consumption in Buildings55 trích dẫn
Arabian Journal for Science and Engineering · 2021 · DOI

Developing a hybrid time-series artificial intelligence model to forecast energy use in buildings36 trích dẫn
Scientific Reports · 2022 · DOI

A hybrid genetic algorithm with 2D encoding for the scheduling of rehabilitation patients23 trích dẫn
Computers & Industrial Engineering · 2018 · DOI

Online defect prognostic model for textile manufacturing21 trích dẫn
Resources Conservation and Recycling · 2020 · DOI

An Integrated Approach for IC Design R&D Portfolio Decision and Project Scheduling and a Case Study20 trích dẫn
IEEE Transactions on Semiconductor Manufacturing · 2018 · DOI

A multi-subpopulation genetic algorithm-based CNN approach for ceramic tile defects classification15 trích dẫn
Journal of Intelligent Manufacturing · 2023 · DOI

Implementing a web-based optimized artificial intelligence system with metaheuristic optimization for improving building energy performance10 trích dẫn
Journal of Asian Architecture and Building Engineering · 2023 · DOI

Về lĩnh vực Toán học

1.789học giả

30.127công bố

381.053trích dẫn

4.2h-index trung bình

Hướng nghiên cứu phổ biến trong lĩnh vực:

Composite Structure Analysis and OptimizationAdvanced machining processes and optimizationAdvanced Mathematical Modeling in EngineeringOptimization and Variational AnalysisNonlinear Differential Equations AnalysisStability and Controllability of Differential Equations

Nơi có nhiều học giả lĩnh vực này nhất: