Convolutional neural networks for classifying healthy individuals practicing or not practicing meditation according to the EEG data by X. Fu, S. S. Tamozhnikov, A. E. Saprygin, N. A. Istomina, A. N. Klemeshova, A.  N. Savostyanov

Subjects: “…convolutional neural networks…”
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Intermittent Finite-Time Synchronization for Reaction-Diffusion Competitive Neural Networks with Different Time Scales by Renxi Hu, Jie Liu

“…This paper focuses on the finite-time synchronization issue for reaction-diffusion competitive neural networks (RCNNs) with different time scales and time-varying delays. …”
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Strength Prediction of Geopolymer Concrete With Wide-Ranged Binders and Properties Using Artificial Neural Network by Md Merajul Islam, Md Al-Mamun Provath, G. M. Sadiqul Islam, Md Tariqul Islam

“…The primary objective is to develop an artificial neural network (ANN) model to enhance the accuracy of compressive strength (C-S) predictions of GPC, which is crucial for the sustainable use of waste-based binders in construction. …”
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Mittag-Leffler Stability and Attractiveness of Pseudo Almost Periodic Solutions for Delayed Cellular Neural Networks by Zahra Eidinejad, Reza Saadati, Dušan D. Repovš

“…We consider a class of nonautonomous cellular neural networks (CNNs) with mixed delays, to study the solutions of these systems which are type pseudo almost periodicity. …”
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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

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Lung Cancer Prediction Using Neural Network Ensemble with Histogram of Oriented Gradient Genomic Features by Emmanuel Adetiba, Oludayo O. Olugbara

“…This paper reports an experimental comparison of artificial neural network (ANN) and support vector machine (SVM) ensembles and their “nonensemble” variants for lung cancer prediction. …”
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Artificial Neural Network (ANN) based Proportional Integral Derivative (PID) for Arm Rehabilitation Device by salam waley shneen, Rajaa khalaf Gaber, Rasha Saad Salih, Suaad Makki Jiaad

“…The current work was developed under the title of Artificial Neural Network (ANN) Proportional Integral Derivative (PID) for the arm rehabilitation device and included building and designing the simulation model and simulation results for the arm rehabilitation device. …”
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Existence and Global Exponential Stability of Periodic Solutions for General Neural Networks with Time-Varying Delays by Xinsong Yang

“…By using the coincidence degree theorem and differential inequality techniques, sufficient conditions are obtained for the existence and global exponential stability of periodic solutions for general neural networks with time-varying (including bounded and unbounded) delays. …”
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Less Conservative Stability Criteria for Neutral Type Neural Networks with Mixed Time-Varying Delays by Kaibo Shi, Hong Zhu, Shouming Zhong, Yong Zeng, Yuping Zhang, Li Liang

“…This paper investigates the problem of dependent stability criteria for neutral type neural networks with mixed time-varying delays. Firstly, some new delay-dependent stability results are obtained by employing the more general partitioning approach and generalizing the famous Jensen inequality. …”
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A network traffic classification method based on random forest and improved convolutional neural network by Bensheng YUN, Xiaoya GAN, Yaguan QIAN

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Adversarial measurements for convolutional neural network-based energy theft detection model in smart grid by Santosh Nirmal, Pramod Patil, Sagar Shinde

“…Electricity or Energy theft detection (ETD) systems utilizing machine learning, particularly those employing neural networks, have high accuracy and have become popular in literature, achieving higher detection performance. …”
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Sandy Soil Liquefaction Prediction Based on Clustering-Binary Tree Neural Network Algorithm Model by Yu Wang, Jiachen Wang

“…The neural network algorithm is a small sample machine learning method built on the statistical learning theory and the lowest structural risk principle. …”
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Relativistic Electron Flux Prediction at Geosynchronous Orbit Based on the Neural Network and the Quantile Regression Method by Hui Zhang, Suiyan Fu, Lun Xie, Duo Zhao, Chao Yue, Zuyin Pu, Ying Xiong, Tong Wu, Shaojie Zhao, Yixin Sun, Bo Cui, Zhekai Luo

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Short-term power consumption forecasting using neural networks with first- and second-order differencing by Meftah Elsaraiti

“…Recent advancements in machine learning, particularly long short-term memory (LSTM) networks, have addressed some of these limitations by leveraging neural network architectures capable of learning complex temporal dependencies. …”
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Multiobjective Hyperparameter Optimization of Artificial Neural Networks for Optimal Feedforward Torque Control of Synchronous Machines by Niklas Monzen, Florian Stroebl, Herbert Palm, Christoph M. Hackl

Subjects: “…Artificial neural network (ANN)…”
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IM- LTS: An Integrated Model for Lung Tumor Segmentation using Neural Networks and IoMT by Jayapradha J, Su-Cheng Haw, Naveen Palanichamy, Kok-Why Ng, Senthil Kumar Thillaigovindhan

“…With that concern, this work aims to develop an Integrated Model (IM- LTS) for Lung Tumor Segmentation using Neural Networks (NN) and the Internet of Medical Things (IoMT). …”
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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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Neural Network Based Vibration Analysis with Novelty in Data Detection for a Large Steam Turbine by K. P. Kumar, K.V.N.S. Rao, K.R. Krishna, B. Theja

“…The Mat lab 7 codes are applied to generate program using neural networks toolbox.…”
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Greenhouse environmental monitoring and control system based on improved fuzzy PID and neural network algorithms by Guan Hongqiang

Subjects: “…backpropagation neural network…”
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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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