Mehdi Neshat - Publications, H-index & Citations

Mehdi Neshat

university of technology sydney

29H指数

140论文数

2.8K被引数

收录论文 39

发表时间

Physics-informed LLM-guided dynamic spatio-temporal graph deep network for short-term wind farm power forecasting 物理信息LLM引导的动态时空图深度网络用于短期风力发电功率预测

Energy Conversion and Management

IF10.9

2026-07-31

OAAI

Mehdi Neshat; Seyedali Mirjalili; Chiara Bordin; Natasa Markovska; Amir H. Gandomi

EvoBagNet: a decomposition-driven bagging ensemble with evolutionary hyperparameter optimization for robust stock price prediction EvoBagNet: 具有进化超参数优化的分解驱动的bagging集成，用于稳健的股票价格预测

Neural Computing and Applications

IF4.5

2026-02-03

OAAI

Umar Bashir; Kuljeet Singh; Vibhakar Mansotra; Akib Mohi Ud Din Khanday; Mehdi Neshat

Advances and challenges in predicting wave runup in coastal regions: A scoping review of empirical, numerical, and AI-based approaches 预测沿海地区波浪上升的进展和挑战: 经验，数值和基于AI的方法的范围审查

Earth-Science Reviews

IF10

2026-01-18

PREAI

Erfan Amini; Mehrdad Baniesmaeil; Hossein Mehdipour; Mehdi Neshat; Reza Marsooli

Effective Predictive Modelling for Emergency Department Visits and Evaluating Exogenous Variables Impact: Using Explainable Meta-Learning Gradient Boosting 有效预测急诊科就诊的预测模型构建及外生变量影响的评估：使用可解释元学习梯度提升

ACM Transactions on Computing for Healthcare

IF0

2026-01-01

PREAI

Neshat, Mehdi; Phipps, Michael; Jha, Nikhil; Khojasteh, Danial; Tong, Michael; Gandomi, Amir H.

Optimization of control-oriented AI models for real-time platform pitch prediction in hybrid wind-wave offshore systems 面向混合风-浪近海系统实时平台俯仰预测的控制导向AI模型优化

Energy Reports

IF5.1

2025-09-26

PREAI

Irfan Ahmad; Mehdi Neshat; Aitor Garrido; Izaskun Garrido

Smart buildings energy consumption forecasting using adaptive evolutionary bagging extra tree learning models 基于自适应进化装袋额外树学习模型的智能建筑能耗预测

Energy

IF9.4

2025-07-11

OAAI

Mehdi Neshat; Menasha Thilakaratne; Mohammed El-Abd; Seyedali Mirjalili; Amir H. Gandomi; John Boland

Optimising SAG mill throughput and circulating load using machine learning models: A multi-objective approach for identifying optimal process parameters 利用机器学习模型优化半自磨机处理量及循环负荷：一种识别最优工艺参数的多目标方法

Minerals Engineering

IF5

2025-07-01

OAAI

Zahra Ghasemi; Mehdi Neshat; Chris Aldrich; Max Zanin; Lei Chen

Hybrid wave–wind energy site power output augmentation using effective ensemble covariance matrix adaptation evolutionary algorithm 利用有效集合协方差矩阵自适应进化算法实现混合波-风能场站发电输出增强

Renewable and Sustainable Energy Reviews

IF16.3

2025-06-19

OAAI

Mehdi Neshat; Nataliia Y. Sergiienko; Leandro S.P. da Silva; Seyedali Mirjalili; Amir H. Gandomi; Ossama Abdelkhalik; John Boland

Meta W ave L earner: Predicting wave farms power output using effective meta-learner deep gradient boosting model: A case study from Australian coasts

ENERGY

IF9.4

2024-09-01

OAAI

Neshat, Mehdi; Sergiienko, Nataliia Y.; Rafiee, Ashkan; Mirjalili, Seyedali; Gandomi, Amir H.; Boland, John

A multi-faceted methodology for calibration of coastal vegetation drag coefficient

OCEAN MODELLING

IF2.9

2024-08-01

PREAI

Amini, Erfan; Marsooli, Reza; Neshat, Mehdi

An integrated intelligent framework for maximising SAG mill throughput: Incorporating expert knowledge, machine learning and evolutionary algorithms for parameter optimisation

MINERALS ENGINEERING

IF5

2024-07-01

OAAI

Ghasemi, Zahra; Neshat, Mehdi; Aldrich, Chris; Karageorgos, John; Zanin, Max; Neumann, Frank; Chen, Lei

Enhancing the performance of hybrid wave-wind energy systems through a fast and adaptive chaotic multi-objective swarm optimisation method 通过快速自适应混沌多目标群优化方法提高混合波浪-风能系统的性能

APPLIED ENERGY

IF11

2024-05-01

OAAI

Neshat, Mehdi; Sergiienko, Nataliia Y.; Nezhad, Meysam Majidi; da Silva, Leandro S. P.; Amini, Erfan; Marsooli, Reza; Garcia, Davide Astiaso; Mirjalili, Seyedali

Optimization of power take-off system settings and regional site selection procedure for a wave energy converter

ENERGY CONVERSION AND MANAGEMENT-X

IF7.6

2024-04-01

OAAI

Mehdipour, Hossein; Amini, Erfan; Naeeni, Seyed Taghi (Omid); Neshat, Mehdi; Gandomi, Amir H.

Shape and sizing optimisation of space truss structures using a new cooperative coevolutionary-based algorithm

RESULTS IN ENGINEERING

IF7.9

2024-03-01

OAAI

Etaati, Bahareh; Neshat, Mehdi; Dehkordi, Amin Abdollahi; Pargoo, Navid Salami; El-Abd, Mohammed; Sadollah, Ali; Gandomi, Amir H.

Marine energy digitalization digital twin's approaches

RENEWABLE & SUSTAINABLE ENERGY REVIEWS

IF16.3

2024-03-01

OAAI

Nezhad, Meysam Majidi; Neshat, Mehdi; Sylaios, Georgios; Garcia, Davide Astiaso

Exploring Cellular Automata Learning: An Innovative Approach for Secure and Imperceptible Digital Image Watermarking

IEEE ACCESS

IF3.6

2024-01-01

OAAI

Bhat, Iram Khurshid; Qadir, Fasel; Neshat, Mehdi; Gandomi, Amir H.

Short-term solar radiation forecasting using hybrid deep residual learning and gated LSTM recurrent network with differential covariance matrix adaptation evolution strategy

ENERGY

IF9.4

2023-09-01

OAAI

Neshat, Mehdi; Nezhad, Meysam Majidi; Mirjalili, Seyedali; Garcia, Davide Astiaso; Dahlquist, Erik; Gandomi, Amir H.

Design optimization of ocean renewable energy converter using a combined Bi-level metaheuristic approach

ENERGY CONVERSION AND MANAGEMENT-X

IF7.6

2023-07-01

OAAI

Amini, Erfan; Nasiri, Mahdieh; Pargoo, Navid Salami; Mozhgani, Zahra; Golbaz, Danial; Baniesmaeil, Mehrdad; Nezhad, Meysam Majidi; Neshat, Mehdi; Garcia, Davide Astiaso; Sylaios, Georgios

Adaptive Chaotic Marine Predators Hill Climbing Algorithm for Large-Scale Design Optimizations

IEEE ACCESS

IF3.6

2023-01-01

OAAI

Dehkordi, Amin Abdollahi; Etaati, Bahareh; Neshat, Mehdi; Mirjalili, Seyedali

A Novel Hybrid Multi-Modal Deep Learning for Detecting Hashtag Incongruity on Social Media

SENSORS

IF3.5

2022-12-15

OAAI

Dadgar, Sajad; Neshat, Mehdi

研究方向