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Derin Öğrenme Araştırma Alanlarının Literatür Taraması

M. Mutlu Yapıcı, Adem Tekerek, Nurettin Topaloğlu
2019 Gazi Mühendislik Bilimleri Dergisi  
In this study, it is presented important knowledge to guide about DL models and challenging topics that can be used in DL for researchers.  ...  , voice and video recognition, medical image processing, and big data.  ...  [94] proposed a BP neural network optimized by GA to estimate the probability of collision.  ... 
doi:10.30855/gmbd.2019.03.01 fatcat:2sv7dg7elrfqppcjx5otzmb7pi

Traffic Congestion Forecasting in Shanghai Based on Multi-period Hotspot Clustering

Chunhui Xu, Anqin Zhang, Yu Chen
2020 IEEE Access  
In this paper, the PageRank-K clustering algorithm is used to analyse hotspots and cluster hotspots of a region.  ...  The Dual_XGBoost model is used for traffic congestion prediction. Finally, we compared our model with similar models. We take roads in Shanghai as the test object.  ...  Finally, the final data are input into a BP network, SVM or XGBoost model to analyse road congestion and to select the best prediction method.  ... 
doi:10.1109/access.2020.2983184 fatcat:c5yvky3i7rhwdctksu672cm7m4

A Contrastive Evaluation Method for Discretion in Administrative Penalty

Hui Wang, Haoyu Xu, Yiyang Zhou, Xueqing Li
2022 Electronics  
We propose an automatic data-labeling method based on data pattern discovery, clustering, and statistical analysis to replace manual labeling under potential personal prejudice.  ...  The final results of penalty amount forecasting and penalty reasonableness judging tasks reach ready-to-use performance.  ...  They use a BP neural network with a genetic algorithm to overcome the problem of slow convergence and local optimum.  ... 
doi:10.3390/electronics11091388 fatcat:luvcur6crbdlvdoe2vpok575q4

Proceedings of the 13th Russian German Conference on Biomedical Engineering

Steffen Leonhardt, Steffen Leonhardt
2018
The modelling was done using the Business Process Model and Notation (BPMN) 2.0.  ...  After the baseline measurement, the participants underwent a BP perturbing intervention task (protocols are summarized in the tab. 1), followed by a recovery phase, in which they rested until BP and heartrate  ...  Namely, consider a stochastic process y(t ) that cycles in some time moments 0 = t 0 < ... < t j < ... < ∞ through states 0 → 1 → ... → K − 1 → 0 → ... in that order, again and again.  ... 
doi:10.18154/rwth-2018-224393 fatcat:vu735cealrczzc7aiwmzojoczm