Egg freshness during storage: the effect of laying hen age and shelf life prediction using a novel hybrid modeling method by Yifeng Lu, Jing Li, Zihao He, Linyun Chen, Huixin Tian, Chen Xu, Xinglian Xu, Minyi Han

“…This study thus aimed at investigating the effect of hen age on the storage quality of egg, and predicting egg shelf life using back propagation artificial neural network (BP-ANN) based models. …”
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Evolutionary learning in neural networks by heterosynaptic plasticity by Zedong Bi, Ruiqi Fu, Guozhang Chen, Dongping Yang, Yu Zhou, Liang Tian

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Data-driven diabetes mellitus prediction and management: a comparative evaluation of decision tree classifier and artificial neural network models along with statistical analysis by Idris Zubairu Sadiq, Babangida Sanusi Katsayal, Bashiru Ibrahim, Maryam Ibrahim, Hassan Aliyu Hassan, Umar Muhammad Ghali, Abdullahi Garba Usman, Abubakar Usman, Sani Isah Abba

“…This study compares the effectiveness of a Decision Tree Classifier and an Artificial Neural Network (ANN) in predicting Diabetes Mellitus. …”
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Computer graphics processing technology based on GIS model and its application by Quanpeng Ji

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PHILOSOPHICAL AND ANTHROPOLOGICAL IMPORTANCE OF DEVELOPMENT OF ARTIFICIALLY CREATED INTELLIGENT SYSTEMS by Yu. D. Gensitskiy

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Convolutional neural network approach for fault detection and characterization in medium voltage distribution networks by Atefeh Pour Shafei, J.Fernando A. Silva, J. Monteiro

“…Therefore, this paper introduces a novel method for detecting, classifying, and locating faults in power systems through voltage waveform analysis using a convolutional neural network (CNN) integrated with the Piecewise Function Put Together (PFPT) algorithm for fault detection and fault zone localization in a power distribution network. …”
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Fused-MemBrain: a spiking processor combining CMOS and self-assembled memristive networks by Davide Cipollini, Hugh Greatorex, Michele Mastella, Elisabetta Chicca, Lambert Schomaker

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Elements of artificial intelligence in a predictive personalized model of pharmacotherapy choice in patients with heart failure with mildly reduced ejection fraction of ischemic or... by O. A. Osipova, A. V. Kontsevaya, V. V. Demko, E. V. Gosteva, A. A. Komisov, А. A. Kuzub, A. V. Serdyukova, A. S. Brizhaneva, R. N. Shepel, O. M. Drapkina

“…The result of this function is a parameter vector: AL, TNF-α, MMP-9, SI and quality of life (QOL). …”
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Bio-realistic and versatile artificial dendrites made of anti-ambipolar transistors by Yifei Yang, Mingkun Xu, Tianhang Zhang, Chenfei Miao, Juan Lyu, Jing Pei, Peng Li, Guoqi Li, Si Wu, Huanglong Li

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Detection of structural-functional coupling abnormalities using multimodal brain networks in Alzheimer’s disease: A comparison of three computational models by Yinping Lu, Luyao Wang, Toshiya Murai, Jinglong Wu, Dong Liang, Zhilin Zhang

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Ethical Aspects of the Influence of Neural Networks on the Lives of Students in the Context of a Sociological Approach (using the Example of Students of the IT Department of ETU) by A. S. Kurapova, S. V. Kurapov, A. D. Derzhavina, N. V. Shatilo

“…The article is devoted to the analysis of the development and implementation of artificial intelligence systems, in particular neural networks, in the life of students. …”
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Optimization of the Inorganic Salts in Coenzyme Q₁₀ Fermentation Medium of <i>Rhodobacter sphaeroides</i> Based on Uniform Design and Artificial Neural Network and Genet... by Yi Zheng, Yujun Xiao, Shuling Tang, Junpeng Li, Yingzi Wu, Yong Zhou

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AIpollen: An Analytic Website for Pollen Identification Through Convolutional Neural Networks by Xingchen Yu, Jiawen Zhao, Zhenxiu Xu, Junrong Wei, Qi Wang, Feng Shen, Xiaozeng Yang, Zhonglong Guo

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Nonreciprocal surface plasmonic neural network for decoupled bidirectional analogue computing by Xiaomeng Li, Haochen Yang, Enzong Wu, Xincheng Yao, Ying Li, Fei Gao, Hongsheng Chen, Zuojia Wang

“…Abstract To address the burgeoning demand for computing capacity in artificial intelligence, researchers have explored optical neural networks that show advantages of ultrafast speed, low power consumption, ultra-high bandwidth, and high parallelism. …”
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Calculation of Neural Network Weights and Biases Using Particle Swarm Optimization by Jerin Paul Selvan, Girish Pandurang Potdar

“…The error rates can be reduced and the applicability of the model increased, both of which will increase the model’s dependability. Artificial neural networks are commonly trained using the backpropagation approach, also known as backward propagation of mistakes. …”
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Atmospheric Pollutant Flow and Precipitation: Modeling Effects on the Vegetation Ecosystem by Allag Fateh, Saddek Bouharati, Lamri Tedjar, Mohamed Fenni

“…In this study, we propose a system based on artificial neural networks. Since artificial neural networks have the capacity to treat different complex parameters, their application in this domain is adequate. …”
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Discourseology of Linguistic Consciousness: Neural Network Modeling of some Structural and Semantic Relationships by Віталій Шимко

“…Study of the validity and reliability of the discourse approach for the psycholinguistic understanding of the nature, structure, and features of the linguistic consciousness functioning. Materials & Methods. This paper analyzes artificial neural network models built on the corpus of texts, which were obtained in the process of experimental research of the coronavirus quarantine concept as a new category of linguistic consciousness. …”
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Low-computational EMG gesture recognition for prosthetic control via handcrafted features and lightweight MLP by Lingzhi Lin, Yuqian Dai, Guodao Zhang, Yisu Ge, Abdulilah Mohammad Mayet, Xiaotian Pan, Genfu Yang, Mian Lin

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Numerical Assessment of Automotive Mufflers Using FEM, Neural Networks, and a Genetic Algorithm by Ying-Chun CHANG, Min-Chie CHIU, Meng-Ru WU

“…Here, the objective function can be established by using Artificial Neural Networks (ANNs) in conjunction with the muffler’s design parameters and related TLs (simulated by FEM). …”
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Noise Elimination of Reciprocating Compressors Using FEM, Neural Networks Method, and the GA Method by Ying-Chun CHANG, Min-Chie CHIU, Ji-Lin XIE

“…Additionally, to facilitate the shape optimization of the muffler, a polynomial neural network model is adopted to serve as an objective function; also, a Genetic Algorithm (GA) is linked to the OBJ function. …”
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