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Publication search results
found 603 matches
- 2024
- Jhansi Rani Gundala, Mohammad Farukh Hashmi, Ghulam Muhammad:
Variational Mode Decomposition and Empirical Wavelet Transform-Based Feature Extraction and Ensemble Classifier for Lower Limb Movement Prediction With Surface Electromyography Signal. IEEE Access 12: 55201-55217 (2024) - Yaoyao He, Yuting Liu, Wanying Zhang:
Probability density prediction of peak load based on mixed frequency noise-assisted multivariate empirical mode decomposition. Appl. Intell. 54(3): 2648-2672 (2024) - Xianshuang Yao, Huiyu Wang, Yanning Shao, Zhanjun Huang, Shengxian Cao, Qingchuan Ma:
Multi-state delayed echo state network with empirical wavelet transform for time series prediction. Appl. Intell. 54(6): 4646-4667 (2024) - Nhat-To Huynh:
Multi-stage defect prediction and classification model to reduce the inspection time in semiconductor back end manufacturing process and an empirical application. Comput. Ind. Eng. 187: 109778 (2024) - Maosen Wang, Zhongda Tian:
Ultra-short-term wind speed prediction based on empirical wavelet transform and combined model. Earth Sci. Informatics 17(1): 539-560 (2024) - Yan Chen, Chunchun Hu:
Hourly PM2.5 Concentration Prediction Based on Empirical Mode Decomposition and Geographically Weighted Neural Network. ISPRS Int. J. Geo Inf. 13(3): 79 (2024) - Libin Du, Hao Chen, Yibo Yuan, Longjiang Song, Xiangqian Meng:
Global Navigation Satellite System Receiver Positioning in Harsh Environments via Clock Bias Prediction by Empirical Mode Decomposition and Back Propagation Neural Network Method. Sensors 24(7): 2342 (2024) - Sweta Padma Routray, Swayamprabha Sahoo, Debasish Swapnesh Kumar Nayak, Sejal Shah, Tripti Swarnkar:
Web-Based Tools Validation for Antimicrobial Resistance Prediction: An Empirical Comparative Analysis. SN Comput. Sci. 5(1): 147 (2024) - Ying Zeng, Tudi Huang, Tingyu Zhang, Hong-Zhong Huang:
System-Level Performance Degradation Prediction for Power Converters Based on SSA-Elman NN and Empirical Knowledge. IEEE Trans. Ind. Informatics 20(2): 1240-1250 (2024) - Pratyush Mishra, Vikram Singh, Aneesh Krishna, Lov Kumar:
An Empirical Analysis on Leveraging User Reviews with NLP-Enhanced Word Embeddings for App Rating Prediction. AINA (3) 2024: 234-244 - Tumu Akshar, Vikram Singh, N. L. Bhanu Murthy, Aneesh Krishna, Lov Kumar:
A Codebert Based Empirical Framework for Evaluating Classification-Enabled Vulnerability Prediction Models. ISEC 2024: 6:1-6:11 - Triet H. M. Le, Xiaoning Du, Muhammad Ali Babar:
Are Latent Vulnerabilities Hidden Gems for Software Vulnerability Prediction? An Empirical Study. CoRR abs/2401.11105 (2024) - Kamal Taha:
Empirical and Experimental Insights into Data Mining Techniques for Crime Prediction: A Comprehensive Survey. CoRR abs/2403.00780 (2024) - Yuxiang Guo, Xiaopeng Gao, Bo Jiang:
An Empirical Study on JIT Defect Prediction Based on BERT-style Model. CoRR abs/2403.11158 (2024) - 2023
- Petar Afric, Davor Vukadin, Marin Silic, Goran Delac:
Empirical Study: How Issue Classification Influences Software Defect Prediction. IEEE Access 11: 11732-11748 (2023) - Andi Sheng, Lewei Xie, Yixiang Zhou, Zhen Wang, Yuechao Liu:
A Hybrid Model Based on Complete Ensemble Empirical Mode Decomposition With Adaptive Noise, GRU Network and Whale Optimization Algorithm for Wind Power Prediction. IEEE Access 11: 62840-62854 (2023) - Xin Guo, Wen-jing Li, Jun-Fei Qiao:
A self-organizing modular neural network based on empirical mode decomposition with sliding window for time series prediction. Appl. Soft Comput. 145: 110559 (2023) - S. Jayalakshmy, B. Lakshmipriya, Gnanou Florence Sudha:
Bayesian optimized GoogLeNet based respiratory signal prediction model from empirically decomposed gammatone visualization. Biomed. Signal Process. Control. 86(Part B): 105239 (2023) - Pengjia Qi, Hao Xu, Huaqing Zhang, Jijun Tong, Shudong Xia:
Residual neural networks based on empirical mode decomposition for mitral regurgitation prediction. Biomed. Signal Process. Control. 86(Part B): 105265 (2023) - Tianyue Jiang, Yutong Liu:
A short-term wind power prediction approach based on ensemble empirical mode decomposition and improved long short-term memory. Comput. Electr. Eng. 110: 108830 (2023) - Jun Hao, Jiaxin Yuan, Dengsheng Wu, Weixuan Xu, Jianping Li:
A dynamic ensemble approach for multi-step price prediction: Empirical evidence from crude oil and shipping market. Expert Syst. Appl. 234: 121117 (2023) - Sonika Chandrakant Rathi, Sanjay Misra, Ricardo Colomo Palacios, R. Adarsh, Lalita Bhanu Murthy Neti, Lov Kumar:
Empirical evaluation of the performance of data sampling and feature selection techniques for software fault prediction. Expert Syst. Appl. 223: 119806 (2023) - Zhanheng Chen, Zhuhong You, Qinhu Zhang, Zhen-Hao Guo, Siguo Wang, Yanbin Wang:
In silico prediction methods of self-interacting proteins: an empirical and academic survey. Frontiers Comput. Sci. 17(3): 173901 (2023) - Fuyang Li, Wanpeng Lu, Jacky Wai Keung, Xiao Yu, Lina Gong, Juan Li:
The impact of feature selection techniques on effort-aware defect prediction: An empirical study. IET Softw. 17(2): 168-193 (2023) - Rohit Vashisht, Syed Afzal Murtaza Rizvi:
Addressing Noise and Class Imbalance Problems in Heterogeneous Cross-Project Defect Prediction: An Empirical Study. Int. J. e Collab. 19(1): 1-27 (2023) - G. Mariammal, A. Suruliandi, S. P. Raja, Poongothai Elango:
An Empirical Evaluation of Machine Learning Techniques for Crop Prediction. Int. J. Interact. Multim. Artif. Intell. 8(4): 96 (2023) - Thomas Idhaya, A. Suruliandi, Dragos Calitoiu, S. P. Raja:
Calibrating the classifier for protein family prediction with protein sequence using machine learning techniques: An empirical investigation. Int. J. Wavelets Multiresolution Inf. Process. 21(3): 2250045:1-2250045:34 (2023) - Sriniketan Sridhar, Aníbal Romney, Vidya B. Manian:
A Deep Neural Network for Working Memory Load Prediction from EEG Ensemble Empirical Mode Decomposition. Inf. 14(9): 473 (2023) - Xianchang Wang, Siyu Dong, Rui Zhang:
An Integrated Time Series Prediction Model Based on Empirical Mode Decomposition and Two Attention Mechanisms. Inf. 14(11): 610 (2023) - Joanna Abraham, Brian Bartek, Alicia Meng, Christopher Ryan King, Bing Xue, Chenyang Lu, Michael S. Avidan:
Integrating machine learning predictions for perioperative risk management: Towards an empirical design of a flexible-standardized risk assessment tool. J. Biomed. Informatics 137: 104270 (2023)
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