سید محمد جعفر جلالی

صفحه نخست /سید محمد جعفر جلالی
سید محمد جعفر جلالی
نام و نام خانوادگی سید محمد جعفر جلالی
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وبسایت
پست الکترونیک
 عنوانمجله
1 Probabilistic Wind Power Forecasting Using Optimized Deep Auto-Regressive Recurrent Neural Networks IEEE Transactions on Industrial Informatics
2 A novel healthy and time-aware food recommender system using attributed community detection EXPERT SYSTEMS WITH APPLICATIONS
3 Healthy Food Recommendation Using a Time-Aware Community Detection Approach and Reliability Measurement International Journal of Computational Intelligence Systems
4 Solar irradiance forecasting using a novel hybrid deep ensemble reinforcement learning algorithm Sustainable Energy, Grids and Networks
5 An Efficient Hybrid Model Based on Modified Whale Optimization Algorithm and Multilayer Perceptron Neural Network for Medical Classification Problems Journal of Bionic Engineering
6 Towards novel deep neuroevolution models: chaotic levy grasshopper optimization for short-term wind speed forecasting ENGINEERING WITH COMPUTERS
7 Novel Uncertainty-Aware Deep Neuroevolution Algorithm to Quantify Tidal Forecasting IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
8 X-ray image based COVID-19 detection using evolutionary deep learning approach EXPERT SYSTEMS WITH APPLICATIONS
9 An advanced short-term wind power forecasting framework based on the optimized deep neural network models INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
10 An efficient cardiovascular disease detection model based on multilayer perceptron and moth-flame optimization EXPERT SYSTEMS
11 New Hybrid Deep Neural Architectural Search-Based Ensemble Reinforcement Learning Strategy for Wind Power Forecasting IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
12 Automated Deep CNN-LSTM Architecture Design for Solar Irradiance Forecasting IEEE Transactions on Systems Man Cybernetics-Systems
13 A novel deep neuroevolution-based image classification method to diagnose coronavirus disease (COVID-19) COMPUTERS IN BIOLOGY AND MEDICINE
14 A Novel Evolutionary-Based Deep Convolutional Neural Network Model for Intelligent Load Forecasting IEEE Transactions on Industrial Informatics