ZooCNN: A Zero-Order Optimized Convolutional Neural Network for Pneumonia Classification Using Chest Radiographs by Saravana Kumar Ganesan, Parthasarathy Velusamy, Santhosh Rajendran, Ranjithkumar Sakthivel, Manikandan Bose, Baskaran Stephen Inbaraj

Subjects: “…convolutional neural network…”
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Neural Network and Performance Analysis for a Novel Reconfigurable Parallel Manipulator Based on the Spatial Multiloop Overconstrained Mechanism by Guanyu Huang, Dan Zhang, Qi Zou

“…To focus on the application in the industrial area, this paper proposes a method to establish the relationship between the performance and the structural parameters by using the modified BP neural network. Based on this method, the structural parameters can be chosen by the requirements of the special task in the industrial area. …”
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NeuralACT: Accounting Analytics Using Neural Network for Real-Time Decision Making From Big Data by Leonidas Theodorakopoulos, Alexandra Theodoropoulou, Georgios Kampiotis, Ioanna Kalliampakou

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Parallel convolutional neural network and empirical mode decomposition for high accuracy in motor imagery EEG signal classification by Jaipriya D., Sriharipriya K. C.

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Investigations on tool wear behavior in turning AISI 304 stainless steel: An empirical and neural network modeling approach by Satish Chinchanikar, Mahendra Gadge

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Dual modality feature fused neural network integrating binding site information for drug target affinity prediction by Haohuai He, Guanxing Chen, Zhenchao Tang, Calvin Yu-Chian Chen

“…This study proposes DMFF-DTA, a dual-modality neural network model integrates sequence and graph structure information from drugs and proteins for drug-target affinity prediction. …”
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Stability Analysis for Uncertain Neural Networks of Neutral Type with Time-Varying Delay in the Leakage Term and Distributed Delay by Qi Zhou, Xueying Shao, Jin Zhu, Hamid Reza Karimi

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Application of the Artificial Neural Network and Support Vector Machines in Forest Fire Prediction in the Guangxi Autonomous Region, China by Yudong Li, Zhongke Feng, Shilin Chen, Ziyu Zhao, Fengge Wang

“…They used feature selection and backpropagation neural networks and radial basis SVM to build forest fire prediction models. …”
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Multi-modal denoised data-driven milling chatter detection using an optimized hybrid neural network architecture by Haining Gao, Haoyu Wang, Hongdan Shen, Shule Xing, Yong Yang, Yinlin Wang, Wenfu Liu, Lei Yu, Mazhar Ali, Imran Ali Khan

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Forecasting SYM‐H Index: A Comparison Between Long Short‐Term Memory and Convolutional Neural Networks by F. Siciliano, G. Consolini, R. Tozzi, M. Gentili, F. Giannattasio, P. De Michelis

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Finite-Time Stability Criteria for a Class of High-Order Fractional Cohen–Grossberg Neural Networks with Delay by Zhanying Yang, Jie Zhang, Junhao Hu, Jun Mei

“…This paper focuses on a class of delayed fractional Cohen–Grossberg neural networks with the fractional order between 1 and 2. …”
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Predicting Patients’ Revisit Intention Based on Satisfaction Scores: Combination of Penalized Regression and Neural Networks by Farshid Abdi, Shaghayegh Abolmakarem, Amir Karbassi Yazdi, Paul Leger, Yong Tan, Giuliani Coluccio

“…Moreover, the findings demonstrate that the Artificial Neural Network model best fits the predictive model and offers the highest reliability. …”
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Optimization Analysis Method of New Orthotropic Steel Deck Based on Backpropagation Neural Network-Simulated Annealing Algorithm by Xiuli Xu, Kewei Shi, Xuehong Li, Zhijun Li, Rengui Wang, Yuwen Chen

“…To study the effects of the fatigue performance due to the major design parameter of the orthotropic steel deck and to obtain a better design parameter, a construction parameter optimization method based on a backpropagation neural network (BPNN) and simulated annealing (SA) algorithm was proposed. …”
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A New Processing Method Combined with BP Neural Network for Francis Turbine Synthetic Characteristic Curve Research by Junyi Li, Canfeng Han, Fei Yu

“…A BP (backpropagation) neural network method is employed to solve the problems existing in the synthetic characteristic curve processing of hydroturbine at present that most studies are only concerned with data in the high efficiency and large guide vane opening area, which can hardly meet the research requirements of transition process especially in large fluctuation situation. …”
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Diagnosis of approximal caries in children with convolutional neural networks based detection algorithms on radiographs: A pilot study by Zeynep Seyda Yavsan, Hediye Orhan, Enes Efe, Emrehan Yavsan

“…To create a convolutional neural network (CNN)-based diagnostic system for the prompt and efficient identification of approximal caries in pediatric patients aged 5–12 years. …”
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An efficient artificial neural network-based optimization techniques for the early prediction of coronary heart disease: comprehensive analysis by Subhash Mondal, Ranjan Maity, Amitava Nag

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Enhancing Driving Safety and Environmental Consciousness through Automated Road Sign Recognition Using Convolutional Neural Networks by M. H. F. Md Fauadi, M. F. H. Mohd Zan, M. A. M Ali, L. Abdullah, S. N. Yaakop and A. Z. M. Noor

Subjects: “…traffic sign recognition, convolutional neural network, yolov3 network, environmental consciousness…”
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Neural network for step anomaly detection in head motion during fMRI using meta-learning adaptation by N.S. Davydov, V.V. Evdokimova, P.G. Serafimovich, V.I. Protsenko, A.G. Khramov, A.V. Nikonorov

Subjects: “…recurrent neural networks…”
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Automatic segmentation of white matter lesions on multi-parametric MRI: convolutional neural network versus vision transformer by Yun-Ting Chen, Yan-Cheng Huang, Hsiu-Ling Chen, Hsin-Chih Lo, Pei-Chin Chen, Chiun-Chieh Yu, Yi-Chin Tu, Tyng-Luh Liu, Wei-Che Lin

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Methodology for Developing Hydrological Models Based on an Artificial Neural Network to Establish an Early Warning System in Small Catchments by Ivana Sušanj, Nevenka Ožanić, Ivan Marović

“…The aim and objective of this paper are to investigate the possibility of implementing an EWS in a small-scale catchment and to develop a methodology for developing a hydrological prediction model based on an artificial neural network (ANN) as an essential part of the EWS. …”
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