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检索条件"机构=School of Electrical and Computer Engineering Center for Signal and Image Processing"
411 条 记 录,以下是1-10 订阅
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HEX: Hierarchical Emergence Exploitation in Self-Supervised Algorithms
HEX: Hierarchical Emergence Exploitation in Self-Supervised ...
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2025 IEEE/CVF Winter Conference on Applications of computer Vision, WACV 2025
作者: Kokilepersaud, Kiran Kim, Seulgi Prabhushankar, Mohit Alregib, Ghassan Olives The Center for Signal and Information Processing Csip School of Electrical and Computer Engineering Georgia Institute of Technology AtlantaGA United States
In this paper, we propose an algorithm that can be used on top of a wide variety of self-supervised (SSL) approaches to take advantage of hierarchical structures that emerge during training. SSL approaches typically w... 详细信息
来源: 评论
Targeting Negative Flips in Active Learning using Validation Sets
Targeting Negative Flips in Active Learning using Validation...
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2024 IEEE International Conference on Big Data, BigData 2024
作者: Benkert, Ryan Prabhushankar, Mohit Alregib, Ghassan Georgia Institute of Technology Olives The Center for Signal and Information Processing Csip School of Electrical and Computer Engineering AtlantaGA United States
The performance of active learning algorithms can be improved in two ways. The often used and intuitive way is by reducing the overall error rate within the test set. The second way is to ensure that correct predictio... 详细信息
来源: 评论
Supervised machine learning-based salp swarm algorithm for fault diagnosis of photovoltaic systems
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Journal of engineering and Applied Science 2024年 第1期71卷 12页
作者: Hichri, Amal Hajji, Mansour Mansouri, Majdi Nounou, Hazem Bouzrara, Kais Research Unit Advanced Materials and Nanotechnologies Higher Institute of Applied Sciences and Technology of Kasserine Kairouan University Kairouan Tunisia Electrical and Computer Engineering Program Texas A&M University at Qatar Doha Qatar Laboratory of Automatic Signal and Image Processing National School of Engineers of Monastir University of Monastir Monastir5019 Tunisia
The diagnosis of faults in grid-connected photovoltaic (GCPV) systems is a challenging task due to their complex nature and the high similarity between faults. To address this issue, we propose a wrapper approach call... 详细信息
来源: 评论
Effective uncertain fault diagnosis technique for wind conversion systems using improved ensemble learning algorithm
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Energy Reports 2023年 10卷 3113-3124页
作者: Attouri, Khadija Dhibi, Khaled Mansouri, Majdi Hajji, Mansour Bouzrara, Kais Nounou, Mohamed Higher Institute of Applied Sciences and Technology of Kasserine Kairouan University Kasserine1200 Tunisia Electrical and Computer Engineering Program Texas A&M University at Qatar Qatar Chemical Engineering Program Texas A&M University at Qatar Qatar Laboratory of Automatic Signal and Image Processing National Engineering School of Monastir University of Monastir 5019 Tunisia
This paper introduces a pioneering fault diagnosis technique termed Interval Ensemble Learning based on Sine Cosine Optimization Algorithm (IEL- SCOA), tailored to tackle uncertainties prevalent in wind energy convers... 详细信息
来源: 评论
FOCAL: A Cost-Aware Video Dataset for Active Learning
FOCAL: A Cost-Aware Video Dataset for Active Learning
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2023 IEEE International Conference on Big Data, BigData 2023
作者: Kokilepersaud, Kiran Logan, Yash-Yee Benkert, Ryan Zhou, Chen Prabhushankar, Mohit Alregib, Ghassan Corona, Enrique Singh, Kunjan Parchami, Mostafa Georgia Institute of Technology Olives at the Center for Signal and Information Processing Csip School of Electrical and Computer Engineering AtlantaGA United States Ford Motor Company DearbornMI United States
In this paper, we introduce the FOCAL (Ford-OLIVES Collaboration on Active Learning) dataset which enables the study of the impact of annotation-cost within a video active learning setting. Annotation-cost refers to t... 详细信息
来源: 评论
EEG based stress classification by using difference plots of variational modes and machine learning
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Journal of Ambient Intelligence and Humanized Computing 2023年 第12期14卷 16347-16360页
作者: Salankar, Nilima Qaisar, Saeed Mian School of Computer Science University of Petroleum and Energy Studies Dehradun India Persistent System Limited IT Park Maharashtra Nagpur India Department of Electrical and Computer Engineering EFfat University Jeddah22332 Saudi Arabia Communication and Signal Processing Lab Energy and Technology Research Center Effat University Jeddah22332 Saudi Arabia
The recent trend in healthcare is to use the automated biomedical signals processing for an augmented and precise diagnosis. In this context, an original approach is presented for categorization of stress and non-stre... 详细信息
来源: 评论
Enhanced fault diagnosis of wind energy conversion systems using ensemble learning based on sine cosine algorithm
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Journal of engineering and Applied Science 2023年 第1期70卷 56页
作者: Attouri, Khadija Dhibi, Khaled Mansouri, Majdi Hajji, Mansour Bouzrara, Kais Nounou, Hazem Higher Institute of Applied Sciences and Technology of Kasserine Kairouan University Kasserine1200 Tunisia Chemical Engineering Program Texas A&M University at Qatar 23874 Doha Qatar Electrical and Computer Engineering Program Texas A&M University at Qatar 23874 Doha Qatar Laboratory of Automatic Signal and Image Processing National Engineering School of Monastir University of Monastir Monastir5019 Tunisia
This paper investigates the problem of incipient fault detection and diagnosis (FDD) in wind energy conversion systems (WECS) using an innovative and effective approach called the ensemble learning-sine cosine optimiz... 详细信息
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HEX: Hierarchical Emergence Exploitation in Self-Supervised Algorithms
HEX: Hierarchical Emergence Exploitation in Self-Supervised ...
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IEEE Workshop on Applications of computer Vision (WACV)
作者: Kiran Kokilepersaud Seulgi Kim Mohit Prabhushankar Ghassan AlRegib OLIVES at the Center for Signal and Information Processing CSIP School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA
In this paper, we propose an algorithm that can be used on top of a wide variety of self-supervised (SSL) approaches to take advantage of hierarchical structures that emerge during training. SSL approaches typically w... 详细信息
来源: 评论
Intelligent Multi-View Test Time Augmentation
Intelligent Multi-View Test Time Augmentation
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IEEE International Conference on image processing
作者: Efe Ozturk Mohit Prabhushankar Ghassan AlRegib School of Electrical and Computer Engineering OLIVES at the Center for Signal and Information Processing CSIP Georgia Institute of Technology Atlanta GA USA
In this study, we introduce an intelligent Test Time Augmentation (TTA) algorithm designed to enhance the robustness and accuracy of image classification models against viewpoint variations. Unlike traditional TTA met... 详细信息
来源: 评论
Explaining Representation Learning With Perceptual Components
Explaining Representation Learning With Perceptual Component...
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IEEE International Conference on image processing
作者: Yavuz Yarici Kiran Kokilepersaud Mohit Prabhushankar Ghassan AlRegib School of Electrical and Computer Engineering OLIVES at the Center for Signal and Information Processing CSIP Georgia Institute of Technology Atlanta GA USA
Self-supervised models create representation spaces that lack clear semantic meaning. This interpretability problem of representations makes traditional explainability methods ineffective in this context. In this pape... 详细信息
来源: 评论