A Novel User Classification Method for Femtocell Network by Using Affinity Propagation Algorithm and Artificial Neural Network by Afaz Uddin Ahmed, Mohammad Tariqul Islam, Mahamod Ismail, Salehin Kibria, Haslina Arshad

“…An artificial neural network (ANN) and affinity propagation (AP) algorithm based user categorization technique is presented. …”
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Novel Hybrid Radial-Based Neural Network Model for Predicting the Compressive Strength of Long-Term HPC Concrete by Hanlie Cheng, Shiela Kitchen, Graciela Daniels

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Deep Learning for Identification and Characterization of Ca ii Absorption Lines: A Multitask Convolutional Neural Network Approach by Yang Liu, Jie Li, Linqing Gao, Haotong Zhang, Zhenghua Xu, Yu Wang, Wenbin Lin

“…This work presents three multitask convolutional neural network models and identifies the ResNet-CBAM model, which incorporates residual learning and an attention mechanism as the most effective. …”
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Seismic Design Value Evaluation Based on Checking Records and Site Geological Conditions Using Artificial Neural Networks by Tienfuan Kerh, Yutang Lin, Rob Saunders

“…This study further develops a new weight-based neural network model for estimating peak ground acceleration at unchecked sites. …”
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Enhanced SOC estimation method for lithium-ion batteries using Bayesian-optimized TCN–LSTM neural networks by Taotao Hu, Xiting Zhu, Maokai Tian

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The Prediction of Pile Foundation Buried Depth Based on BP Neural Network Optimized by Quantum Particle Swarm Optimization by Fei Yin, Yong Hao, Taoli Xiao, Yan Shao, Man Yuan

“…In this paper, a nonlinear model based on coordinates and buried depth of piles was established by the BP neural network to predict the samples to be evaluated, the consequence of which indicated that the BP neural network was easily trapped in local extreme value, and the error reached 31%. …”
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A comparative analysis of Deep Neural Networks and Gradient Boosting Algorithms in long-term wind power forecasting by Ivanović Luka, Milić Saša D., Sokolović Živko, Rakić Aleksandar

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Collaboration of IoT devices in smart home scenarios: algorithm research based on graph neural networks and federated learning by Yuanquan Zhong

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One-Day Prediction of Biometeorological Conditions in a Mediterranean Urban Environment Using Artificial Neural Networks Modeling by K. P. Moustris, P. T. Nastos, A. G. Paliatsos

“…For this purpose, artificial neural networks (ANNs) modelling techniques are applied in order to predict the maximum and the minimum value of the physiologically equivalent temperature (PET) one day ahead as well as the persistence of the hours with extreme human biometeorological conditions. …”
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Real-Time Automatic Configuration of Brain MRI: A Comparative Study of SIFT Descriptors and YOLO Neural Network by Rávison Amaral Almeida, Júlio César Porto de Carvalho, Antônio Wilson Vieira, Heveraldo Rodrigues de Oliveira, Marcos F. S. V. D’Angelo

“…The second approach introduces a novel method based on the YOLO (You Only Look Once) neural network, which is designed to automatically align and orient cutting planes. …”
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Neural Network Inverse Model Control Strategy: Discrete-Time Stability Analysis for Relative Order Two Systems by M. A. Hussain, Jarinah Mohd Ali, M. J. H. Khan

“…This paper discusses the discrete-time stability analysis of a neural network inverse model control strategy for a relative order two nonlinear system. …”
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Corrigendum to “Forecasting Method for Urban Rail Transit Ridership at Station Level Using Back Propagation Neural Network” by Junfang Li, Minfeng Yao, Qian Fu

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Detection and Prevention of Man-in-the-Middle Spoofing Attacks in MANETs Using Predictive Techniques in Artificial Neural Networks (ANN) by Robert A. Sowah, Kwadwo B. Ofori-Amanfo, Godfrey A. Mills, Koudjo M. Koumadi

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Spatio-temporal analysis of litterfall load in the lower reaches of Qarqan and Tarim rivers using BP neural networks by Junyu Xu, Anwar Eziz, Alishir Kurban, Ümüt Halik, Zhiwen Shi, Saif Ullah, Gift Donu Fidelis, Yingdong Ma, Ziwargul Kibir, Toqeer Ahmed, Tim Van de Voorde, Adil Hujashim, Hossein Azadi

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Neural Network-Based Nonlinear Fixed-Time Adaptive Practical Tracking Control for Quadrotor Unmanned Aerial Vehicles by Jianhua Zhang, Yang Li, Wenbo Fei

“…First, by combining the radial basis function neural networks (NNs) with virtual parameter estimating algorithms, a NN adaptive control scheme is developed for UAVs. …”
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YAPAY SİNİR AĞLARI İLE BORSA ENDEKSİ TAHMİNİ - FORECASTING STOCK MARKET INDEX WITH ARTIFICIAL NEURAL NETWORKS by Aygülen Kayahan Karakul

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Construction of a neural network model for small-scale shaded relief maps constrained by topographic feature lines by Yue Wang, Wenping Jiang, Han Jiang, Danfeng Dai, Peiyang Ma, Yuan Wang, Zhizhi Wang

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Neural-Network-Based Approach for Extracting Eigenvectors and Eigenvalues of Real Normal Matrices and Some Extension to Real Matrices by Xiongfei Zou, Ying Tang, Shirong Bu, Zhengxiang Luo, Shouming Zhong

“…This paper introduces a novel neural-network-based approach for extracting some eigenpairs of real normal matrices of order n. …”
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Optimization the Initial Weights of Artificial Neural Networks via Genetic Algorithm Applied to Hip Bone Fracture Prediction by Yu-Tzu Chang, Jinn Lin, Jiann-Shing Shieh, Maysam F. Abbod

“…This paper aims to find the optimal set of initial weights to enhance the accuracy of artificial neural networks (ANNs) by using genetic algorithms (GA). …”
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Mass Rapid Transit System Passenger Traffic Forecast Using a Re-Sample Recurrent Neural Network by Rong Hu, Yi-Chang Chiu, Chih-Wei Hsieh, Tang-Hsien Chang, Xingsi Xue, Fumin Zou, Lyuchao Liao

“…In this study, we developed a model re-sample Recurrent Neural Network (RRNN) to forecast passenger traffic on Mass Rapid Transit Systems (MRT). …”
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