Shahab S. Band

national yunlin university of science and technology

H指数:53

被引数:9,783

个人简介

暂无内容

教育背景

暂无内容

工作经历

暂无内容

荣誉奖项

暂无内容

Predicting Fall Risk in Community-Dwelling Older Adults Using a Fine-Tuned Quantized Large Language Model

使用微调量化的大型语言模型预测社区居住老年人的跌倒风险

IEEE Transactions on Neural Systems and Rehabilitation Engineering

IF5.2

2026-03-180

OAAI

Hybrid machine learning and deep learning models for river suspended sediment load forecasting

河流悬移质输沙量预测的混合机器学习和深度学习模型

ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS

IF5.4

2026-01-220

PRE

Explainable deep learning hybrid models for enhanced prediction of river dissolved oxygen concentration

可解释深度学习混合模型在河流溶解氧浓度增强预测中的应用

Journal of Water Process Engineering

IF6.7

2025-12-090

PRE

Integrating the pressure-state-response model with the extension catastrophe progression for flood risk and resilience assessment

将压力-状态-响应模型与扩展灾难进程相结合，用于洪水风险和韧性评估

Environmental and Sustainability Indicators

IF5.6

2025-05-190

A deep reinforcement learning approach for wind speed forecasting

一种基于深度强化学习的方法用于风速预测

ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS

IF5.4

2025-05-070

Prediction of earth-fissure hazards: Unraveling the crucial roles of land use and groundwater fluctuations

ENVIRONMENTAL IMPACT ASSESSMENT REVIEW

IF11.2

2025-01-010

PRE

Daily runoff forecasting using novel optimized machine learning methods

RESULTS IN ENGINEERING

IF7.9

2024-12-011

OAAI

Deep learning hybrid models with multivariate variational mode decomposition for estimating daily solar radiation

基于多元变分模态分解的深度学习混合模型估算日太阳辐射

ALEXANDRIA ENGINEERING JOURNAL

IF6.8

2024-10-011

OAAI

Energy consumption of high-rise double skin façade buildings, a machine learning analysis

高层双层幕墙建筑能耗的机器学习分析

JOURNAL OF BUILDING ENGINEERING

IF7.4

2024-07-012

PRE

Regression models for predicting the effect of trash rack on flow properties at power intakes

ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS

IF5.4

2024-06-130

Fall risk classification with posturographic parameters in community-dwelling older adults: a machine learning and explainable artificial intelligence approach

JOURNAL OF NEUROENGINEERING AND REHABILITATION

IF5.2

2024-01-295

OAAI

Explainable machine learning models for estimating daily dissolved oxygen concentration of the Tualatin River

ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS

IF5.4

2024-01-234

ECG signals-based security and steganography approaches in WBANs: A comprehensive survey and taxonomy

SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS

IF5.7

2024-01-010

PRE

Machine learning and deep learning-based approach in smart healthcare: Recent advances, applications, challenges and opportunities

AIMS PUBLIC HEALTH

IF2.7

2024-01-0120

OAAI

Potential impacts of future climate on the spatio-temporal variability of landslide susceptibility in Iran using machine learning algorithms and CMIP6 climate-change scenarios

使用机器学习算法和CMIP6气候变化情景，未来气候对伊朗滑坡敏感性时空变化的潜在影响

GONDWANA RESEARCH

IF8.6

2023-12-0111

PRE

Forecasting PM 2.5 concentration based on integrating of CEEMDAN decomposition method with SVM and LSTM

基于CEEMDAN分解方法与SVM和LSTM集成的PM 2.5浓度预测

ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY

IF6.1

2023-11-0110

OAAI

Machine learning models coupled with empirical mode decomposition for simulating monthly and yearly streamflows: a case study of three watersheds in Ontario, Canada

ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS

IF5.4

2023-08-2110

Estimation and interpretation of equilibrium scour depth around circular bridge piers by using optimized XGBoost and SHAP

利用优化的XGBoost和SHAP估算和解释圆形桥墩周围的平衡冲刷深度

ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS

IF5.4

2023-08-2116

Modeling of the Sintered Density in Cu-Al Alloy Using Machine Learning Approaches

ACS OMEGA

IF4.3

2023-07-253

OAAI

Sensitivity analysis of wheat yield based on growing degree days in different growth stages: Application of machine learning approach enhanced by grey systems theory

基于不同生育期生长天数的小麦产量敏感性分析 -- 基于灰色系统理论的机器学习方法的应用

COMPUTERS AND ELECTRONICS IN AGRICULTURE

IF8.9

2023-07-011

PRE

Shahab S. Band

个人简介

教育背景

工作经历

荣誉奖项

研究方向