Výsledky vyhľadávania - "supervised learning algorithm"

Hourly Rainfall Forecast Model Using Supervised Learning Algorithm Autor Zhao, Qingzhi, Liu, Yang, Yao, Wanqiang, Yao, Yibin

“… Therefore, an hourly rainfall forecast (HRF) model based on a supervised learning algorithm is proposed in this study to predict rainfall with high accuracy and time resolution…”
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TSTKD: Triple-spike train kernel-driven supervised learning algorithm Autor Chen, Guojun, Wang, Guoen

“…) plays an imperative and fundamental role. This study proposes a novel supervised learning algorithm based on triple-spike train kernels to address the shortcomings…”
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A Supervised Learning Algorithm for Learning Precise Timing of Multiple Spikes in Multilayer Spiking Neural Networks Autor Taherkhani, Aboozar, Belatreche, Ammar, Yuhua Li, Maguire, Liam P.

“…) have not been investigated thoroughly. This paper proposes a novel biologically plausible supervised learning algorithm for learning precisely timed multiple spikes in a multilayer SNNs…”
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A semi-supervised learning algorithm via adaptive Laplacian graph Autor Yuan, Yuan, Li, Xin, Wang, Qi, Nie, Feiping

“…Many semi-supervised learning methods have been developed in recent years, especially graph-based approaches, which have achieved satisfactory performance in…”
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A supervised learning algorithm to simulate tumor growth: Cahn–Hilliard model on surfaces Autor Torkian, Mojtaba, Abbaszadeh, Mostafa, Alavi, Seyed Majid, Haghverdi, Majid

“…The current work concerns to introduce a new numerical solution based upon a supervised learning algorithm with the shape functions of reproducing kernel particle method (RKPM…”
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An enhanced graph-based semi-supervised learning algorithm to detect fake users on Twitter Autor BalaAnand, M., Karthikeyan, N., Karthik, S., Varatharajan, R., Manogaran, Gunasekaran, Sivaparthipan, C. B.

“… To address this issue, this paper proposes an enhanced graph-based semi-supervised learning algorithm…”
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Semi-Supervised Learning Algorithm for Identifying High-Priority Drug-Drug Interactions Through Adverse Event Reports Autor Liu, Ning, Chen, Cheng-Bang, Kumara, Soundar

“…-supervised learning algorithm. The experimental results demonstrate the effectiveness…”
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A Supervised Learning Algorithm for Multilayer Spiking Neural Networks Based on Temporal Coding Toward Energy-Efficient VLSI Processor Design Autor Sakemi, Yusuke, Morino, Kai, Morie, Takashi, Aihara, Kazuyuki

“… In this article, we propose a novel supervised learning algorithm for SNNs based on temporal coding…”
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Multi-Modal Self-Supervised Learning Algorithm-Based Product Recommendation Autor Gao, Li, Fan, Haiping, Chen, Qingkui, Yang, Heyu

“… For this reason, this paper proposes Multi-Modal Self-Supervised Learning Algorithm Based Product Recommendation (MMSLRec). 1…”
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Field data analysis and risk assessment of gas kick during industrial deepwater drilling process based on supervised learning algorithm Autor Yin, Qishuai, Yang, Jin, Tyagi, Mayank, Zhou, Xu, Hou, Xinxin, Cao, Bohan

“…During industrial offshore deep-water drilling process, gas kick event occurs frequently due to extremely narrow Mud Weight (MW) window (minimum 0.01sg) and…”
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Car Emotion Labeling Based on Color-SSL Semi-Supervised Learning Algorithm by Color Augmentation Autor Guo, Zhuen, Lin, Li, Liu, Baoqi, Zhang, Li, Chang, Kaixin, Li, Lingyun, Jiang, Zuoya, Wu, Jinmeng

“…In the era of emotional consumption, it has become a hot topic that commodities meet consumers’ emotional needs. As a necessity of life, the car also needs to…”
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MW-FixMatch: A class imbalance semi-supervised learning algorithm based on re-weighting Autor Zheng, Xiaoqing, Hong, Weijie, Chen, Dengde, Xue, Anke, Kong, Yaguang

“…Semi-supervised learning for image classification is an important research area in computer vision. These algorithms typically assume that both labeled and…”
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A semi-supervised learning algorithm for high and low-frequency variable imbalances in industrial data Autor Zhu, Jiannan, Fan, Chen, Yang, Minglei, Qian, Feng, Mahalec, Vladimir

“…•Estimation of low frequency hydrocracking data via SSL. This work introduces a semi-supervised learning algorithm to estimate missing data for processes where measured…”
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Training a Multi-Layer Photonic Spiking Neural Network With Modified Supervised Learning Algorithm Based on Photonic STDP Autor Xiang, Shuiying, Ren, Zhenxing, Zhang, Yahui, Song, Ziwei, Guo, Xingxing, Han, Genquan, Hao, Yue

“… The photonic spike timing dependent plasticity (STDP) is applied to design a hardware-friendly biologically plausible supervised learning algorithm for a multi…”
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BP-based supervised learning algorithm for multilayer photonic spiking neural network and hardware implementation Autor Zhang, Yahui, Xiang, Shuiying, Han, Yanan, Guo, Xingxing, Zhang, Wu, Tan, Qinggui, Han, Genquan, Hao, Yue

“…We introduce a supervised learning algorithm for photonic spiking neural network (SNN…”
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Minimum Displacement in Existing Moment (MDEM)- A new supervised learning algorithm by incrementally constructing the moments of the underlying classes Autor Nizam, Ahmed Mehedi

“… We then use k-fold and stratified k-fold cross validation techniques to compare the performance of our proposed model with various state of the art supervised learning algorithms including Neural Network (NN…”
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Continuous quality control evaluation during manufacturing using supervised learning algorithm for Industry 4.0 Autor Shafiq, Muhammad, Thakre, Kalpana, Krishna, Kalluri Rama, Robert, Noel Jeygar, Kuruppath, Ashok, Kumar, Devendra

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DSQNet: A Deformable Model-Based Supervised Learning Algorithm for Grasping Unknown Occluded Objects Autor Kim, Seungyeon, Ahn, Taegyun, Lee, Yonghyeon, Kim, Jihwan, Wang, Michael Yu, Park, Frank C.

“…Grasping previously unseen objects for the first time, in which only partially occluded views of the object are available, remains a difficult challenge…”
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A new supervised learning algorithm for multiple spiking neural networks with application in epilepsy and seizure detection Autor Ghosh-Dastidar, Samanwoy, Adeli, Hojjat

“… A new supervised learning algorithm, dubbed Multi-SpikeProp, is developed for training MuSpiNN…”
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Is it feasible to develop a supervised learning algorithm incorporating spinopelvic mobility to predict impingement in patients undergoing total hip arthroplasty?: a proof-of-concept study Autor Fontalis, Andreas, Zhao, Baixiang, Putzeys, Pierre, Mancino, Fabio, Zhang, Shuai, Vanspauwen, Thomas, Glod, Fabrice, Plastow, Ricci, Mazomenos, Evangelos, Haddad, Fares S.

“…Aims: Precise implant positioning, tailored to individual spinopelvic biomechanics and phenotype, is paramount for stability in total hip arthroplasty (THA)…”
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