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Publication search results
found 7,434 matches
- 2024
- K. A. Alex Luke, Preetha Evangeline David, P. Anandhakumar:
Chapter Seven - Short-term wind power prediction using deep learning approaches. Adv. Comput. 132: 111-139 (2024) - Mashael M. Asiri, Ghadah Aldehim, Faiz Abdullah A Alotaibi, Mrim M. Alnfiai, Mohammed Assiri, Ahmed Mahmud:
Short-Term Load Forecasting in Smart Grids Using Hybrid Deep Learning. IEEE Access 12: 23504-23513 (2024) - Anees Ahmed Awan, Abdul Majid, Rabia Riaz, Sanam Shahla Rizvi, Se Jin Kwon:
A Novel Deep Stacking-Based Ensemble Approach for Short-Term Traffic Speed Prediction. IEEE Access 12: 15222-15235 (2024) - Senfeng Cen, Chang Gyoon Lim:
Multi-Task Learning of the PatchTCN-TST Model for Short-Term Multi-Load Energy Forecasting Considering Indoor Environments in a Smart Building. IEEE Access 12: 19553-19568 (2024) - Waleed M. Hamanah:
A Lightning Search Algorithm for Optimal Planning of Power Systems With Short/Long-Term Storage. IEEE Access 12: 16682-16695 (2024) - Zhaolei He, Shiyun Chen, Nan Pan, Tingjie Ba, Cong Lin, Xiaohua Yang, Guangming Li:
Short-Term Power Load Forecasting of Multi-Charging Piles Based on Improved Gate Recurrent Unit. IEEE Access 12: 2490-2499 (2024) - Shubo Hu, Tingqi Zhang, Fan Yang, Zhengnan Gao, Yangyang Ge, Qiang Zhang, Hui Sun, Ke Xu:
Short-Term Load Forecasting Based on Mutual Information and BI-LSTM Considering Fluctuation in Importance Values of Features. IEEE Access 12: 23653-23665 (2024) - Nikorn Kannikaklang, Wachirawut Thamviset, Sartra Wongthanavasu:
BiLSTCAN: A Novel SRS-Based Bidirectional Long Short-Term Capsule Attention Network for Dynamic User Preference and Next-Item Recommendation. IEEE Access 12: 6879-6899 (2024) - Jooseung Lee, Jimyung Kang, Soonwoo Lee, Hui-Myoung Oh:
Ultra-Short Term Photovoltaic Generation Forecasting Based on Data Decomposition and Customized Hybrid Model Architecture. IEEE Access 12: 20840-20853 (2024) - Guanghao Luo, Fumin Zou, Feng Guo, Qiqin Cai, Ting Ye, Gen Xu:
A Highway In-Transit Vehicle Position Estimation Method Considering Road Characteristics and Short-Term Driving Style. IEEE Access 12: 8744-8772 (2024) - V. Siva Brahmaiah Rama, Sung-Ho Hur, Jung-Min Yang:
Short-Term Fault Prediction of Wind Turbines Based on Integrated RNN-LSTM. IEEE Access 12: 22465-22478 (2024) - Lucia Sangiorgi, Claudio Carnevale:
A Model Predictive Control Methodology to Integrate Short and Long Term Air Quality Objectives. IEEE Access 12: 10760-10768 (2024) - Bijaya Kumar Sethi, Debabrata Singh, Saroja Kumar Rout, Sandeep Kumar Panda:
Long Short-Term Memory-Deep Belief Network-Based Gene Expression Data Analysis for Prostate Cancer Detection and Classification. IEEE Access 12: 1508-1524 (2024) - Luis Vives, Ivan Cabezas, Juan Carlos Vives Garnique, Nilton German Reyes, Janet Aquino, Jose Bautista Cóndor, S. Francisco Segura Altamirano:
Prediction of Students' Academic Performance in the Programming Fundamentals Course Using Long Short-Term Memory Neural Networks. IEEE Access 12: 5882-5898 (2024) - Tianren Zhang, Yuping Huang, Hui Liao, Xianfu Gong, Bo Peng:
Short-Term Power Forecasting and Uncertainty Analysis of Wind Farm at Multiple Time Scales. IEEE Access 12: 25129-25145 (2024) - Marijana Pavlov-Kagadejev, Luka Jovanovic, Nebojsa Bacanin, Muhammet Deveci, Miodrag Zivkovic, Milan Tuba, Ivana Strumberger, Witold Pedrycz:
Optimizing long-short-term memory models via metaheuristics for decomposition aided wind energy generation forecasting. Artif. Intell. Rev. 57(3): 45 (2024) - Shabnam Sorkhi, Joseph C. Paradi:
Correction to: Measuring short-term risk of initial public offering of equity securities: a hybrid Bayesian and Data-Envelopment-Analysis-based approach. Ann. Oper. Res. 332(1): 1 (2024) - Thi Ngoc Anh Nguyen, Nguyen Nhat Anh, Tran Ngoc Thang, Vijender Kumar Solanki, Rubén González Crespo, Nguyen Quang Dat:
Online SARIMA applied for short-term electricity load forecasting. Appl. Intell. 54(1): 1003-1019 (2024) - Xin Liu, Jun Zhou:
Short-term wind power forecasting based on multivariate/multi-step LSTM with temporal feature attention mechanism. Appl. Soft Comput. 150: 111050 (2024) - Stefan Windmann, Tim Westerhold:
Fault detection in automated production systems based on a long short-term memory autoencoder. Autom. 72(1): 47-58 (2024) - Anik Baul, Gobinda Chandra Sarker, Prokash Sikder, Utpal Mozumder, Ahmed Abdelgawad:
Data-Driven Short-Term Load Forecasting for Multiple Locations: An Integrated Approach. Big Data Cogn. Comput. 8(2): 12 (2024) - M. Arunkumar, A. Mohanarathinam, Kamalraj Subramaniam:
Detection of varicose vein disease using optimized kernel Boosted ResNet-Dropped long Short term Memory. Biomed. Signal Process. Control. 87(Part B): 105432 (2024) - Tham Vo:
An Integrated Dual Attention with Convolutional LSTM for Short-Term Temperature Forecasting. Cybern. Syst. 55(2): 511-533 (2024) - Tuan D. Pham, Simon B. Holmes, Lifong Zou, Mangala Patel, Paul Coulthard:
Diagnosis of pathological speech with streamlined features for long short-term memory learning. Comput. Biol. Medicine 170: 107976 (2024) - Xiaoyang Lu, Yandang Chen, Qibin Li, Pingping Yu:
Short-term photovoltaic power forecasting using hybrid contrastive learning and temporal convolutional network under future meteorological information absence. Comput. Intell. 40(1) (2024) - Alaa Eleyan, Ebrahim Alboghbaish:
Electrocardiogram Signals Classification Using Deep-Learning-Based Incorporated Convolutional Neural Network and Long Short-Term Memory Framework. Comput. 13(2): 55 (2024) - Anil Turker, Ender Mete Eksioglu:
3D convolutional long short-term encoder-decoder network for moving object segmentation. Comput. Sci. Inf. Syst. 21(1): 363-378 (2024) - M. Chengathir Selvi, J. Maruthupandi, T. Bhuvaneswari, T. Manonmani:
An adaptive gravitational search optimization (AGSO)-based convolutional neural network - long short-term memory (CNN-LSTM) approach for face recognition and classification. Concurr. Comput. Pract. Exp. 36(3) (2024) - Sárka Stádlerová, Peter Schütz, Asgeir Tomasgard:
Multi-period facility location and capacity expansion with modular capacities and convex short-term costs. Comput. Oper. Res. 163: 106395 (2024) - Emily J. Griffis, Omkar Sudhir Patil, Rebecca G. Hart, Warren E. Dixon:
Lyapunov-Based Long Short-Term Memory (Lb-LSTM) Neural Network-Based Adaptive Observer. IEEE Control. Syst. Lett. 8: 97-102 (2024)
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