Retracted: Ancient Stone Inscription Image Denoising and Inpainting Methods Based on Deep Neural Networks by Discrete Dynamics in Nature and Society

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Classification of Myopathy and Amyotrophic Lateral Sclerosis Electromyograms Using Bat Algorithm and Deep Neural Networks by A. Bakiya, A. Anitha, T. Sridevi, K. Kamalanand

“…The performance of deep neural network exerting selected features from bat algorithm was compared with conventional artificial neural network. …”
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Research on Image Recognition and Classification Algorithms in Cloud Computing Environment Based on Deep Neural Networks by Zheshu Jia

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A low functional redundancy-based network slimming method for accelerating deep neural networks by Zheng Fang, Bo Yin

Subjects: “…Deep neural networks…”
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Retracted: The Construction of Smart Chinese Medicine Cloud Health Platform Based on Deep Neural Networks by International Transactions on Electrical Energy Systems

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Patient-Specific Detection of Atrial Fibrillation in Segments of ECG Signals using Deep Neural Networks by Jeyson A. Castillo, Yenny C. Granados, Carlos Augusto Fajardo Ariza

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Unified Quantile Regression Deep Neural Network with Time-Cognition for Probabilistic Residential Load Forecasting by Zhuofu Deng, Binbin Wang, Heng Guo, Chengwei Chai, Yanze Wang, Zhiliang Zhu

“…In this paper, we propose a unified quantile regression deep neural network with time-cognition for tackling this challenging issue. …”
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Application of Entropy Hierarchy Analysis and Deep Neural Network Algorithm Combination in Enterprise Economic Management by Dan Liu, Xuefei Zheng, Chunqian Dai

“…In order to solve this problem, this paper proposes an evaluation method that integrates entropy weight analytic hierarchy process and deep neural network algorithm. Through objective entropy weight and imitation, the deep neural network fusion of subjective judgment of experts combines the subjective and objective factors of the evaluation index, then uses the AHP method as the evaluation index of performance evaluation according to the index weight, and finally realizes the accurate evaluation of enterprise economic management.…”
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Ischemic Stroke Lesion Segmentation on Multiparametric CT Perfusion Maps Using Deep Neural Network by Ankit Kandpal, Rakesh Kumar Gupta, Anup Singh

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Retracted: Research on the Prediction of Port Economic Synergy Development Trend Based on Deep Neural Networks by Journal of Mathematics

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Human-like face pareidolia emerges in deep neural networks optimized for face and object recognition. by Pranjul Gupta, Katharina Dobs

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Steel Plate Defect Recognition of Deep Neural Network Recognition Based on Space-Time Constraints by Chi Zhang, Zhiguang Wang, Baiting Liu, Wang Xiaolei

“…In order to improve the effect of real-time defect recognition in steel plate online production, this paper studies the method of steel plate defect recognition based on the deep neural network algorithm based on space-time constraints. …”
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Identifying the Effective Factors on Neuropathic Diseases in Patients with Chronic pain Using Deep Neural Networks by Mobin Shaterian, Mohammad Teshnehlab

“…In this research, pain questionnaire of Shafa Neuroscience Research Center in Khatam-ol-Anbia Hospital in Tehran is study. By using the deep neural network and the nearest neighbor and the genetic algorithm and the auto encoder, the list of features was obtained with a precision measurement of 75 percentage. …”
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Retracted: Parallel Bookkeeping Path of Accounting in Government Accounting System Based on Deep Neural Network by Journal of Electrical and Computer Engineering

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A Next-Generation Codebook Evolution Strategy for Massive Arrays Using Deep Neurals Networks by Minwoo Choi, Wonjin Sung

“…The process is operated in an iterative fashion to produce updated versions of the codebook with the reduced return of the loss function at the deep neural network (DNN). The time-varying codebook for each BS automatically reflects the characteristics of a given wireless environment to adapt to its channel and traffic conditions. …”
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Barlow Twins deep neural network for advanced 1D drug–target interaction prediction by Maximilian G. Schuh, Davide Boldini, Annkathrin I. Bohne, Stephan A. Sieber

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Rolling-Element Bearing Fault Data Automatic Clustering Based on Wavelet and Deep Neural Network by Yanli Yang, Peiying Fu

“…A method based on wavelet and deep neural network for rolling-element bearing fault data automatic clustering is proposed. …”
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Modeling of Hyperparameter Tuned Fuzzy Deep Neural Network–Based Human Activity Recognition for Disabled People by Faiz Abdullah Alotaibi, Mrim M. Alnfiai, Fahd N. Al-Wesabi, Mesfer Alduhayyem, Anwer Mustafa Hilal, Manar Ahmed Hamza

“…This article develops a hyperparameter tuned fuzzy deep neural network–based HAR (HTFDNN-HAR) method. The objective of the HTFDNN-HAR method lies in human activities identification and classification. …”
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A DBN-Based Deep Neural Network Model with Multitask Learning for Online Air Quality Prediction by Jiangeng Li, Xingyang Shao, Rihui Sun

“…In this paper, for the purpose of improve prediction accuracy of air pollutant concentration, a deep neural network model with multitask learning (MTL-DBN-DNN), pretrained by a deep belief network (DBN), is proposed for forecasting of nonlinear systems and tested on the forecast of air quality time series. …”
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Stability Analysis of Batch Offline Action-Dependent Heuristic Dynamic Programming Using Deep Neural Networks by Timotei Lala

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