Results 41 to 50 of about 109,504 (168)

Hash-MMDC: Enhancing human activity recognition with hash-based optimization

Journal of King Saud University: Computer and Information Sciences
Human Activity Recognition (HAR) is the task of automatically identifying and characterizing human behaviors from sensor or video observations. HAR is a vibrant field with significant practical importance.
Shi Cheng, Qiang Liu, Jie Wan
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Alzheimer’s disease diagnosis by 3D-SEConvNeXt

Journal of Big Data
Alzheimer’s disease (AD) constitutes a fatal neurodegenerative disorder and represents the most prevalent form of dementia among the elderly population.
Zhongyi Hu, Yuhang Wang, Lei Xiao
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Federated two-stage decoupling with adaptive personalization layers

Complex & Intelligent Systems
Federated learning has gained significant attention due to its groundbreaking ability to enable distributed learning while maintaining privacy constraints.
Hangyu Zhu, Yuxiang Fan, Zhenping Xie
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KEGG orthology prediction of bacterial proteins using natural language processing

BMC Bioinformatics
Background The advent of high-throughput technologies has led to an exponential increase in uncharacterized bacterial protein sequences, surpassing the capacity of manual curation. A large number of bacterial protein sequences remain unannotated by Kyoto
Jing Chen, Haoyu Wu, Ning Wang
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Privacy attack in federated learning is not easy: an experimental study

Complex & Intelligent Systems
Federated learning (FL) is an emerging distributed machine learning paradigm proposed for privacy preservation. Unlike traditional centralized learning approaches, FL enables multiple users to collaboratively train a shared global model without ...
Hangyu Zhu, Liyuan Huang, Zhenping Xie
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Artificial Intelligence and Computational Science

, 2022
Repin, Sergey, Neittaanmäki, Pekka
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Dual branch attention network for image super-resolution

Scientific Reports
The advancement of deep convolutional neural networks (CNNs) has resulted in remarkable achievements in image super-resolution methods utilizing CNNs. However, these methods have been limited by a narrow perceptual field and often require a high number ...
Yiwei Hu, Yisu Ge, Mingming Qi, Shuhua Xu   +3 more
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Source-free cross-modality medical image synthesis with diffusion priors

Journal of King Saud University: Computer and Information Sciences
Cross-modality medical image synthesis plays a critical role in enabling comprehensive multi-modal diagnosis and treatment. However, existing methods are constrained by their reliance on paired or unpaired source-target data, limiting scalability and ...
Jia Chen, Xin Wang, Jun Bai, Kai Yang, Xinrong Hu, Yue Li   +5 more
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Sparse Transformer Network With Spatial-Temporal Graph for Pedestrian Trajectory Prediction

IEEE Access
Pedestrian trajectory prediction is a key technology in surveillance systems and autonomous driving. However, due to the high uncertainty and dynamic spatial-temporal dependence of pedestrian movement, timely and accurate pedestrian trajectory prediction,
Long Gao, Xiang Gu, Feng Chen, Jin Wang
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Is Generative Artificial Intelligence Ready for Computational Social Science?

In this article, we analyse the potential of Large Language Models (LLMs) for social simulation by assessing their ability to: (a) make decisions aligned with explicit preferences; (b) adhere to principles of rationality; and (c) refine their beliefs to anticipate the actions of other agents.
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