Výsledky vyhledávání - "machine learning algorithms"

A Survey on Self-Supervised Learning: Algorithms, Applications, and Future Trends Autor Gui, Jie, Chen, Tuo, Zhang, Jing, Cao, Qiong, Sun, Zhenan, Luo, Hao, Tao, Dacheng

“…Deep supervised learning algorithms typically require a large volume of labeled data to achieve satisfactory performance. However, the process of collecting…”
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Optimized PANI@SnO2-Co3O4 ammonia sensor with UV/humidity-modulated response and machine learning-assisted early prediction Autor Qin, Yuxiang, Zhang, Yizhe, Lei, Jing, Liu, Xinyi

“…In this study, a novel ternary PANI@SnO2-Co3O4 nanocomposite was developed, that synergistically combines the functional advantages of its individual…”
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A review of machine learning in building load prediction Autor Zhang, Liang, Wen, Jin, Li, Yanfei, Chen, Jianli, Ye, Yunyang, Fu, Yangyang, Livingood, William

“…•This paper reviews building load prediction with machine learning techniques.•Review and technical papers are searched by Sub-keyword Synonym Searching…”
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Meta-Learning in Neural Networks: A Survey Autor Hospedales, Timothy, Antoniou, Antreas, Micaelli, Paul, Storkey, Amos

“…The field of meta-learning, or learning-to-learn, has seen a dramatic rise in interest in recent years. Contrary to conventional approaches to AI where tasks…”
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Prediction of daily global solar radiation using different machine learning algorithms: Evaluation and comparison Autor Ağbulut, Ümit, Gürel, Ali Etem, Biçen, Yunus

“…The prediction of global solar radiation for the regions is of great importance in terms of giving directions of solar energy conversion systems (design,…”
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A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Autor Gui, Jie, Sun, Zhenan, Wen, Yonggang, Tao, Dacheng, Ye, Jieping

“…Generative adversarial networks (GANs) have recently become a hot research topic; however, they have been studied since 2014, and a large number of algorithms…”
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A Survey on Curriculum Learning Autor Wang, Xin, Chen, Yudong, Zhu, Wenwu

“…Curriculum learning (CL) is a training strategy that trains a machine learning model from easier data to harder data, which imitates the meaningful learning…”
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Assessment of landslide susceptibility along mountain highways based on different machine learning algorithms and mapping units by hybrid factors screening and sample optimization Autor Sun, Deliang, Gu, Qingyu, Wen, Haijia, Xu, Jiahui, Zhang, Yalan, Shi, Shuxian, Xue, Mengmeng, Zhou, Xinzhi

“…[Display omitted] •Geospatial database along Chengkou road is established based on multi-source data.•GEO-ML integrated landslide susceptibility…”
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An integrated lane change prediction model incorporating traffic context based on trajectory data Autor Xue, Qingwen, Xing, Yingying, Lu, Jian

“…•An integrated lane change prediction model to predict the lane change decisions and lane change trajectories.•The traffic context (i.e., traffic flow and…”
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Prediction and comparison of psychological health during COVID-19 among Indian population and Rajyoga meditators using machine learning algorithms Autor Shobhika, Kumar, Prashant, Chandra, Sushil

“…Issues of providing mental health support to people with emerging or current mental health disorders are becoming a significant concern throughout the world…”
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FedPD: A Federated Learning Framework With Adaptivity to Non-IID Data Autor Zhang, Xinwei, Hong, Mingyi, Dhople, Sairaj, Yin, Wotao, Liu, Yang

“…Federated Learning (FL) is popular for communication-efficient learning from distributed data. To utilize data at different clients without moving them to the…”
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Machine Learning Approach to Data Processing of TFBG-Assisted SPR Sensors Autor Chubchev, Eugeny, Tomyshev, Kirill, Nechepurenko, Igor, Dorofeenko, Alexander, Butov, Oleg

“…Fiber optic sensors are applied in industry, remote sensing, environmental monitoring and healthcare. A special place is occupied by tilted fiber Bragg…”
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Adaptive Federated Learning in Resource Constrained Edge Computing Systems Autor Wang, Shiqiang, Tuor, Tiffany, Salonidis, Theodoros, Leung, Kin K., Makaya, Christian, He, Ting, Chan, Kevin

“…Emerging technologies and applications including Internet of Things, social networking, and crowd-sourcing generate large amounts of data at the network edge…”
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Fast Parameter-Free Multi-View Subspace Clustering With Consensus Anchor Guidance Autor Wang, Siwei, Liu, Xinwang, Zhu, Xinzhong, Zhang, Pei, Zhang, Yi, Gao, Feng, Zhu, En

“…Multi-view subspace clustering has attracted intensive attention to effectively fuse multi-view information by exploring appropriate graph structures. Although…”
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Machine-learning methods for estimating compressive strength of high-performance alkali-activated concrete Autor Shafighfard, Torkan, Kazemi, Farzin, Asgarkhani, Neda, Yoo, Doo-Yeol

“…High-performance alkali-activated concrete (HP-AAC) is acknowledged as a cementless and environmentally friendly material. It has recently received a…”
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Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting Autor Yeom, Samuel, Giacomelli, Irene, Fredrikson, Matt, Jha, Somesh

“…Machine learning algorithms, when applied to sensitive data, pose a distinct threat to privacy. A growing body of prior work demonstrates that models produced…”
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Machine Learning at the Wireless Edge: Distributed Stochastic Gradient Descent Over-the-Air Autor Mohammadi Amiri, Mohammad, Gunduz, Deniz

“…We study federated machine learning (ML) at the wireless edge, where power- and bandwidth-limited wireless devices with local datasets carry out distributed…”
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Averaged dependence estimators for DoS attack detection in IoT networks Autor Baig, Zubair A., Sanguanpong, Surasak, Firdous, Syed Naeem, Vo, Van Nhan, Nguyen, Tri Gia, So-In, Chakchai

“…Wireless sensor networks (WSNs) have evolved to become an integral part of the contemporary Internet of Things (IoT) paradigm. The sensor node activities of…”
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Deep Learning for Single Image Super-Resolution: A Brief Review Autor Yang, Wenming, Zhang, Xuechen, Tian, Yapeng, Wang, Wei, Xue, Jing-Hao, Liao, Qingmin

“…Single image super-resolution (SISR) is a notoriously challenging ill-posed problem that aims to obtain a high-resolution output from one of its low-resolution…”
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Self-Guided Image Dehazing Using Progressive Feature Fusion Autor Bai, Haoran, Pan, Jinshan, Xiang, Xinguang, Tang, Jinhui

“…We propose an effective image dehazing algorithm which explores useful information from the input hazy image itself as the guidance for the haze removal. The…”
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