Results 21 to 30 of about 109,504 (168)

After All, Artificial Intelligence is not Intelligent: in a Search for a Comprehensible Neuroscientific Definition of Intelligence

Opinión Jurídica, 2022
This paper explores a series of thoughts about the meaning of intelligence in neuroscience and computer science. This work aims to present an understandable definition that fits our contemporary artificial intelligence background.
Sthéfano Divino
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Unexpected interest recommender system with graph neural network

Complex & Intelligent Systems, 2022
Traditional recommender systems often face the filter bubble problem when they focus on recommending familiar items to users. The over-specialized recommended contents will make users bored.
Hongbin Xia, Kai Huang, Yuan Liu
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Defect Detection Method Based on Knowledge Distillation

IEEE Access, 2023
Aiming at the problem that traditional surface detection is easily affected by complex industrial environments and cannot extract effective features, a deep learning-based knowledge distillation anomaly detection model is proposed. Firstly, a pre-trained
Qunying Zhou, Hongyuan Wang, Ying Tang, Yang Wang   +3 more
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LACE: Mitigating cold-starts in serverless with a multi-task mixture-of-experts caching

Journal of King Saud University: Computer and Information Sciences
Serverless computing has become a transformative cloud paradigm due to its operational simplicity, cost efficiency, and elastic scalability. Unfortunately, it suffers from cold-start problems caused by container initialization during the first function ...
Chunpu Huang, Yukai Huang, Jingqi Feng, Sicheng Liang, Ming Yan, Jie Wu   +5 more
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Dynamic multi-constraint path planning of carrier-based aircraft based on deep reinforcement learning

Zhongguo Jianchuan Yanjiu
ObjectiveMost existing path planning methods for carrier-based aircraft fail to account for the practical spatial constraints encountered during their transfer process and have difficulty adapting to the highly dynamic conditions on the deck.
Shuo HE, Gaohuan XU, Yuanyuan JIN, Yafei LI, Tiantian LI, Hua WANG, Yibo GUO, Lulu LI, Mingliang XU   +8 more
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Mobile malware detection method using improved GhostNetV2 with image enhancement technique

Scientific Reports
In recent years, image-based feature extraction and deep learning classification methods are widely used in the field of malware detection, which helps improve the efficiency of automatic malicious feature extraction and enhances the overall performance ...
Yao Du, CaiXia Gao, Xi Chen, MengTian Cui, LiLi Xu, AoJi Ning   +5 more
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Multi-view affinity-based projection alignment for unsupervised domain adaptation via locality preserving optimization

Scientific Reports
Unsupervised Domain Adaptation (UDA) aims to transfer knowledge from a labeled source domain to an unlabeled target domain with differing data distributions.
Weibin Luo, Mingye Chen, Jian Gao, Yanping Zhu, Fang Wang, Chenyang Zhu   +5 more
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SHC: soft-hard correspondences framework for simplifying point cloud registration

EURASIP Journal on Advances in Signal Processing
Point cloud registration is a multifaceted problem that involves a series of procedures. Many deep learning methods employ complex structured networks to achieve robust registration performance.
Zhaoxiang Chen, Feng Yu, Shuqing Liu, Jiacheng Cao, Zhuohan Xiao, Minghua Jiang   +5 more
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Towards Accurate, Cost-Effective, Ultra-Low-Power and Non-Invasive Respiration Monitoring: A Reusable Wireless Wearable Sensor for an Off-the-Shelf KN95 Mask

Sensors, 2021
Respiratory rate is a critical vital sign that indicates health condition, sleep quality, and exercise intensity. This paper presents a non-invasive, ultra-low-power, and cost-effective wireless wearable sensor, which is installed on an off-the-shelf ...
Yu Xu, Qi Li, Zhenzhou Tang, Jun Liu, Bingjin Xiang   +4 more
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Multiple extended target tracking based on distributed multi‐sensor fusion and shape estimation

IET Radar, Sonar & Navigation, 2023
Distributed multi‐sensor fusion based on the generalised covariance intersection (GCI) fusion has been widely integrated into the Random Finite Set theory, which is promising for multi‐target tracking with an unknown number of targets.
Jinlong Yang, Mengfan Xu, Jianjun Liu, Fangdi Li   +3 more
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