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Publication search results
found 218 matches
- 2024
- Anne Carolina Rodrigues Klaar, Laio Oriel Seman, Viviana Cocco Mariani, Leandro dos Santos Coelho:
Random Convolutional Kernel Transform with Empirical Mode Decomposition for Classification of Insulators from Power Grid. Sensors 24(4): 1113 (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) - Duc-Cuong Dang, Anton V. Eremeev, Xiaoyu Qin:
Empirical Evaluation of Evolutionary Algorithms with Power-Law Ranking Selection. Intelligent Information Processing (1) 2024: 217-232 - Jean-Sébastien Brouillon, Keith Moffat, Florian Dörfler, Giancarlo Ferrari-Trecate:
Power Grid Parameter Estimation Without Phase Measurements: Theory and Empirical Validation. CoRR abs/2401.09989 (2024) - 2023
- Qingchan Liu, Jianing Cao, Jingcheng Zhang, Yao Zhong, Tingjie Ba, Yiming Zhang:
Short-Term Power Load Forecasting in FGSM-Bi-LSTM Networks Based on Empirical Wavelet Transform. IEEE Access 11: 105057-105068 (2023) - J. Rahulkumar., Narayanamoorthi R, Pradeep Vishnuram, Mohit Bajaj, Vojtech Blazek, Lukás Prokop, Stanislav Misák:
An Empirical Survey on Wireless Inductive Power Pad and Resonant Magnetic Field Coupling for In-Motion EV Charging System. IEEE Access 11: 4660-4693 (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) - Jinfeng Wang, Zhixin Zhang, Kuo-Yi Lin, Lijie Feng:
Systematic knowledge-based product redesign: An empirical study of solar power system for unmanned transport ship. Adv. Eng. Informatics 57: 102013 (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) - Shihabudheen KV, Sunidhi Gupta, Mohammed Mansoor O:
Detection of High Impedance Faults in Power Lines using Empirical Mode Decomposition with Intelligent Classification Techniques. Comput. Electr. Eng. 109(Part B): 108770 (2023) - Taewoong Uhm, Seongbaek Yi:
A comparison of normality testing methods by empirical power and distribution of P -values. Commun. Stat. Simul. Comput. 52(9): 4445-4458 (2023) - Ikramul Hasan, Nadim Jahangir, Jennifer Hossain:
Do Power and Commitment Impart Organizational Citizenship Behavior?: An Empirical Study on Developing Country's Banks. Int. J. Asian Bus. Inf. Manag. 14(1): 1-15 (2023) - KuanYi Ng, Aalaa M. A. Babai, Teruo Tanimoto, Satoshi Kawakami, Koji Inoue:
Empirical Power-performance Analysis of Layer-wise CNN Inference on Single Board Computers. J. Inf. Process. 31: 478-494 (2023) - Jacob White, Sarah D. Power:
k-Fold Cross-Validation Can Significantly Over-Estimate True Classification Accuracy in Common EEG-Based Passive BCI Experimental Designs: An Empirical Investigation. Sensors 23(13): 6077 (2023) - Jun Bai, Xiaofeng Zhang, Chen Li, Hanhua Hong, Xi Xu, Chenghua Lin, Wenge Rong:
How to Determine the Most Powerful Pre-trained Language Model without Brute Force Fine-tuning? An Empirical Survey. EMNLP (Findings) 2023: 5369-5382 - Yushan Qian, Weinan Zhang, Ting Liu:
Harnessing the Power of Large Language Models for Empathetic Response Generation: Empirical Investigations and Improvements. EMNLP (Findings) 2023: 6516-6528 - Clement Julia, Riemer van Rozen:
ScriptButler serves an Empirical Study of PuzzleScript: Analyzing the Expressive Power of a Game DSL through Source Code Analysis. FDG 2023: 1:1-1:11 - Sichao Song, Jun Baba, Yuki Okafuji, Junya Nakanishi, Yuichiro Yoshikawa, Hiroshi Ishiguro:
Out for In!: Empirical Study on the Combination Power of Two Service Robots for Product Recommendation. HRI 2023: 408-416 - Thomas Garbay, Karim Hocine, Khalil Hachicha, Andrea Pinna, Bertrand Granado:
An Empirical Study of Convolutional Neural Network Compressions within Low-Power Devices. ICECS 2023: 1-4 - Chi Zhang, Yizhi Zhu, Caiyang Yu, Jiawei Bao, Qingsong Wang, Giuseppe Buja:
Power Quality Disturbance Identification Algorithm Based on Empirical Wavelet Transform And Time-Domain Kurtosis Feature Analysis. ISIE 2023: 1-5 - Xugang Wu, Huijun Wu, Ruibo Wang, Duanyu Li, Xu Zhou, Kai Lu:
Leveraging Free Labels to Power up Heterophilic Graph Learning in Weakly-Supervised Settings: An Empirical Study. ECML/PKDD (3) 2023: 140-156 - Xiaokai Wei, Sujan Kumar Gonugondla, Shiqi Wang, Wasi Uddin Ahmad, Baishakhi Ray, Haifeng Qian, Xiaopeng Li, Varun Kumar, Zijian Wang, Yuchen Tian, Qing Sun, Ben Athiwaratkun, Mingyue Shang, Murali Krishna Ramanathan, Parminder Bhatia, Bing Xiang:
Towards Greener Yet Powerful Code Generation via Quantization: An Empirical Study. ESEC/SIGSOFT FSE 2023: 224-236 - Mohammad Reza Taesiri, Giang Nguyen, Sarra Habchi, Cor-Paul Bezemer, Anh Nguyen:
Zoom is what you need: An empirical study of the power of zoom and spatial biases in image classification. CoRR abs/2304.05538 (2023) - Newsha Emaminejad, Reza Akhavian:
Trust in Construction AI-Powered Collaborative Robots: A Qualitative Empirical Analysis. CoRR abs/2308.14846 (2023) - Pål Forr Austnes, Celia García-Pareja, Fabio Nobile, Mario Paolone:
Probabilistic Load Forecasting of Distribution Power Systems based on Empirical Copulas. CoRR abs/2310.03657 (2023) - Yushan Qian, Wei-Nan Zhang, Ting Liu:
Harnessing the Power of Large Language Models for Empathetic Response Generation: Empirical Investigations and Improvements. CoRR abs/2310.05140 (2023) - Matthew Deakin, Davis Montenegro:
Demonstrating Almost Linear Time Complexity of Bus Admittance Matrix-Based Distribution Network Power Flow: An Empirical Approach. CoRR abs/2311.11704 (2023) - Jun Bai, Xiaofeng Zhang, Chen Li, Hanhua Hong, Xi Xu, Chenghua Lin, Wenge Rong:
How to Determine the Most Powerful Pre-trained Language Model without Brute Force Fine-tuning? An Empirical Survey. CoRR abs/2312.04775 (2023) - 2022
- Joice G. Philip, Yejin Yang, Jaesung Jung:
Identification of Power System Oscillation Modes Using Empirical Wavelet Transform and Yoshida-Bertecco Algorithm. IEEE Access 10: 48927-48935 (2022) - Koji Yamashita, Brandon Foggo, Xianghao Kong, Yuanbin Cheng, Jie Shi, Nanpeng Yu:
A Dynamic Behavior-Based Bulk Power System Event Signature Library With Empirical Clustering. IEEE Access 10: 96307-96321 (2022)
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