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检索条件"机构=Department of Electrical and Computer Engineering and Computer Science and Engineering"
702438 条 记 录,以下是4771-4780 订阅
A Lightweight Deep Learning Approach for Indian Fruit Classification Using EfficientNetV2B2  5
A Lightweight Deep Learning Approach for Indian Fruit Classi...
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5th International Conference on Electronics and Sustainable Communication Systems, ICESC 2024
作者: Kantaria, Nikunj Khokhar, Deepkumar Goel, Parth Computer Science & Engineering Department Anand Changa India
This research aims to build a system that automatically categorizes good and bad fruits, for the top six popular Indian varieties of Fruits using deep learning. By adapting pre-trained deep learning models (transfer l... 详细信息
来源: 评论
Color Image Encryption Using Novel 5D Piecewise Map  5
Color Image Encryption Using Novel 5D Piecewise Map
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5th IEEE International Conference on Advances in electrical, Computing, Communication and Sustainable Technologies, ICAECT 2025
作者: Salunke, Bharti Salunke, Sharad Parul University Department of Computer Science & Engineering Vadodara India
This paper presents a novel color image encryption technique using a 5D piecewise chaotic map. In recent years, image encryption has become crucial for securing multimedia data in various applications, especially in c... 详细信息
来源: 评论
Text Summarization for Light Weight Devices
Text Summarization for Light Weight Devices
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2025 IEEE International Students' Conference on electrical, Electronics and computer science, SCEECS 2025
作者: Akshatha, K. Praveen, M. Taleki, Shravan Rakshith Yadav, K V Nataraj Revathi, T. Alliance University Department of Computer Science and Engineering Bangalore India
In this paper, we propose a text summarization method for low-compute devices with limited hardware capabilities like smartphones, tablets and IOT devices. Traditional methods for text summarization face significant c... 详细信息
来源: 评论
Epileptic Seizure Prediction through ML And DL Models: A Survey  8
Epileptic Seizure Prediction through ML And DL Models: A Sur...
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8th International Conference on Electronics, Communication and Aerospace Technology, ICECA 2024
作者: Viswanath, J. Annamalai, S. Ramesh, S. Department of Computer Science and Engineering Karnataka Bangalore India
Epileptic seizures are unpredictable and pose significant risks to individuals affected by epilepsy. Electroencephalogram (EEG) signals offer a promising avenue for early seizure prediction, enabling timely interventi... 详细信息
来源: 评论
A Survey on Protecting Users Against Phishing Attacks  2
A Survey on Protecting Users Against Phishing Attacks
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2nd International Conference on Advanced Innovations in Smart Cities, ICAISC 2025
作者: Albishri, Adel Dessouky, Mohamed M. College of Computer Science and Engineering University of Jeddah Department of Computer Science and Artificial Intelligence Jeddah Saudi Arabia
Phishing attacks are a form of cyberattack that involves sending malicious emails, texts, or websites with the goal of obtaining confidential information or gaining access to a user's accounts and systems. These a... 详细信息
来源: 评论
In-Context Learning with Representations: Contextual Generalization of Trained Transformers  38
In-Context Learning with Representations: Contextual General...
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38th Conference on Neural Information Processing Systems, NeurIPS 2024
作者: Yang, Tong Huang, Yu Liang, Yingbin Chi, Yuejie Department of Electrical and Computer Engineering Carnegie Mellon University United States Department of Statistics and Data Science Wharton School University of Pennsylvania United States Department of Electrical and Computer Engineering The Ohio State University United States
In-context learning (ICL) refers to a remarkable capability of pretrained large language models, which can learn a new task given a few examples during inference. However, theoretical understanding of ICL is largely u...
来源: 评论
From Sequence to Structure: Transformer based Secondary Structure and GNN for Tertiary Structure Prediction  6
From Sequence to Structure: Transformer based Secondary Stru...
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6th International Conference on Futuristic Trends in Networks and Computing Technologies, FTNCT 2024
作者: Suryamol, K.S. Mathew, Linda Sara Subhash, Neeraja Computer Science and Engineering Department Mar Athanasius College of Engineering Kothamangalam686666 India
In computational biology, it is still quite difficult to predict the tertiary structure of proteins based on their amino acid sequence. In order to accurately predict the tertiary level, this paper proposes a new meth... 详细信息
来源: 评论
Early-Stage Segmentation and Characterization of Brain Tumor
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computers, Materials & Continua 2022年 第10期73卷 1001-1017页
作者: Syed Nauyan Rashid Muhammad Hanif Usman Habib Akhtar Khalil Omair Inam Hafeez Ur Rehman Department of Computer Science National University of Computer and Emerging Sciences IslamabadPeshawar CampusPakistan Faculty of Computer Science and Engineering Ghulam Ishaq Khan(GIK)Institute of Engineering Sciences and TechnologyTopiPakistan IFahja Pvt Limited PeshawarPakistan Department of Electrical and Computer Engineering COMSATS University IslamabadPakistan
Gliomas are the most aggressive brain tumors caused by the abnormal growth of brain *** life expectancy of patients diagnosed with gliomas decreases *** gliomas are diagnosed in later stages,resulting in imminent *** ... 详细信息
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A Review on Meta-Learning: How Artificial Intelligence and Machine Learning Can Learn to Adapt Quickly  3
A Review on Meta-Learning: How Artificial Intelligence and M...
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3rd International Conference on Electronics and Renewable Systems, ICEARS 2025
作者: Khadse, Shrikant Gourshettiwar, Palash Pawar, Adesh Faculty of Engineering and Technology Wardha442001 India Faculty of Engineering and Technology Department of Computer Science and Medical Engineering Wardha442001 India Department of Computer Science and Medical Engineering Maharashtra Wardha442001 India
Meta-learning aims to create Artificial Intelligence (AI) systems that can adapt to new tasks and improve their performance over time without extensive retraining. The advent of meta-learning paradigms has fundamental... 详细信息
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Enhancing Diagnostic Accuracy in Breast Ultrasound Imaging through Deep Learning and Image Augmentation Techniques  2
Enhancing Diagnostic Accuracy in Breast Ultrasound Imaging t...
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2nd IEEE International Conference on Emerging Research in Computational science, ICERCS 2024
作者: Mahesh, R.T. Department of Computer Science and Engineering Karnataka Bangalore India
This study investigates the application of deep learning models, specifically EfficientNet-B7, combined with advanced image augmentation strategies to improve the diagnostic accuracy of breast ultrasound image classif... 详细信息
来源: 评论