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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Integrated neural network framework for multi-object detection and recognition using UAV imagery by Mohammed Alshehri, Tingting Xue, Tingting Xue, Ghulam Mujtaba, Yahya AlQahtani, Nouf Abdullah Almujally, Ahmad Jalal, Ahmad Jalal, Hui Liu, Hui Liu, Hui Liu

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Personality predicts internalizing symptoms and quality of life in police cadets: a comparison of artificial intelligence and parametric approaches by Macià Buades-Rotger, Ana Martínez Catena, Guillermo Recio, Mireia Cano Gallent, Jordi Niñerola i Maymí, Anna Figueras Masip, David Gallardo-Pujol

“…Here, in two large cohorts of police cadets (n = 1069, 30% women and n = 1377, 35% women) we investigated whether broad personality traits could predict internalizing symptoms (somatization, depression, and anxiety) as well as mental health-related quality of life (MHRQoL). Moreover, we compared seven popular artificial intelligence and linear regression models (Elastic Net, General Linear Model, Lasso Regression, Neural Networks, Random Forests, and Support Vector Regression) in predicting MHRQoL as a function of all other variables. …”
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Tribological Behaviour Analysis of Elastomer-Plastomer Couples in Dry Friction Conditions by Geanina Marcela PODARU, Carmelia Mariana DRAGOMIR-BĂLĂNICĂ, Igor ARSENE

“…This layer stands as a lubricant, offering a prolonged life for the parts in contact. Taking into account that the relationship between materials and working conditions cannot be framed into a mathematical equation, artificial neural networks (ANN) are a valid alternative. …”
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Recent advances in deep learning for protein-protein interaction: a review by Jiafu Cui, Siqi Yang, Litai Yi, Qilemuge Xi, Dezhi Yang, Yongchun Zuo

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Models, systems, networks in economics, engineering, nature and society by D.V. Mirosh

A facile photonics reconfigurable memristor with dynamically allocated neurons and synapses functions by Zhenyu Zhou, Lulu Wang, Gongjie Liu, Yuchen Li, Zhiyuan Guan, Zixuan Zhang, Pengfei Li, Yifei Pei, Jianhui Zhao, Jiameng Sun, Yahong Wang, Yiduo Shao, Xiaobing Yan

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Predicting the compressive strength of polymer-infused bricks: A machine learning approach with SHAP interpretability by Sathvik Sharath Chandra, Rakesh Kumar, Archudha Arjunasamy, Sakshi Galagali, Adithya Tantri, Sujay Raghavendra Naganna

“…The primary innovation lies in leveraging advanced machine learning techniques, namely, artificial neural networks (ANN), support vector machines (SVM), Random Forest and AdaBoost to predict the compressive strength of these Polymer-infused bricks. …”
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A Novel Diagnostic Framework with an Optimized Ensemble of Vision Transformers and Convolutional Neural Networks for Enhanced Alzheimer’s Disease Detection in Medical Imaging by Joy Chakra Bortty, Gouri Shankar Chakraborty, Inshad Rahman Noman, Salil Batra, Joy Das, Kanchon Kumar Bishnu, Md Tanvir Rahman Tarafder, Araf Islam

“…<b>Background/Objectives:</b> Alzheimer’s disease (AD) is a progressive, neurodegenerative disorder, which causes memory loss and loss of cognitive functioning, along with behavioral changes. Early detection is important to delay disease progression, timely intervention and to increase patients’ and caregivers’ quality of life (QoL). …”
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A method for detection of functional deficiencies due to unilateral vestibular impairment using the TUG test and IMU sensors by Marek Kamiński, Rafał Kotas, Wojciech Tylman, Magdalena Janc, Ewa Zamysłowska-Szmytke, Magdalena Józefowicz-Korczyńska

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Evaluating the level of digitalization of the innovation process with artificial intelligence approach in the digital transformation of knowledge-based companies by ali Bagheri, reza radfar, sepehr ghazinoory

“…From this number of samples, 150 data were separated for training data and 48 data as model test based on a random function. In the last stage, i.e. modeling, the adaptive neural-fuzzy inference method was used for the model. …”
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Automated bone scan index as predictors of survival in prostate cancer by Joko Wiyanto, Rini Shintawati, Budi Darmawan, Basuki Hidayat, Achmad Kartamihardja

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Application of artificial intelligence for commodity identification for customs purposes by Galina Yu. Fedotova, Anna Yu. Komelova

“…As a model, the neural network of artificial intelligence developed by the World Customs Organization is used. …”
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Neural correlates of human fear conditioning and sources of variability in 2199 individuals by Joaquim Radua, Hannah S. Savage, Enric Vilajosana, Alec Jamieson, Birgit Abler, Fredrik Åhs, Tom Beckers, Narcís Cardoner, Josh M. Cisler, Juliana B. Diniz, Dominik R. Bach, Sigrid Elsenbruch, Steven G. Greening, Daphne J. Holt, Antonia N. Kaczkurkin, Andreas Keil, Merel Kindt, Kathrin Koch, Kevin S. LaBar, Charlene L. Lam, Christine L. Larson, Tina B. Lonsdorf, Christian J. Merz, Katie A. McLaughlin, Yuval Neria, Daniel S. Pine, Carien M. van Reekum, Alexander J. Shackman, Carles Soriano-Mas, Victor I. Spoormaker, Daniel M. Stout, Benjamin Straube, Thomas Straube, Lauri Tuominen, Renée M. Visser, Laura Ahumada, Volker Arolt, Marcelo C. Batistuzzo, Paulo R. Bazán, Emma E. Biggs, Marta Cano, Pamela Chavarría-Elizondo, Samuel E. Cooper, Udo Dannlowski, Víctor de la Peña-Arteaga, Stephanie N. DeCross, Katharina Domschke, Mana R. Ehlers, John L. Graner, Alfons O. Hamm, Martin J. Herrmann, Ashley A. Huggins, Adriane Icenhour, Asier Juaneda-Seguí, Markus Junghoefer, Tilo Kircher, Katja Koelkebeck, Manuel Kuhn, Franziska Labrenz, Shmuel M. Lissek, Martin Lotze, Ulrike Lueken, Jürgen Margraf, Ignacio Martínez-Zalacaín, Robert Moeck, Jayne Morriss, María Ortuño, Andre Pittig, Daniel Porta-Casteras, Jan Richter, Isabelle C. Ridderbusch, Winfried Rief, Kati Roesmann, Jörgen Rosén, Alena N. Rußmann, Rachel Sjouwerman, Jennifer Spohrs, Andreas Ströhle, Benjamin Suarez-Jimenez, Martin Ulrich, Hans-Ulrich Wittchen, Xi Zhu, Lea Waller, Henrik Walter, Paul M. Thompson, Janna Marie Bas-Hoogendam, Nynke A. Groenewold, Dan J. Stein, Nic J. Van der Wee, Joseph E. Dunsmoor, Andre F. Marquand, Ben J. Harrison, Miquel A. Fullana

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Evaluation of Data Mining and Artificial Intelligence Methods to Predict Daily Precipitation by Yaseen Ahmed Hamaamin

“…In this study, data mining techniques were applied to metrological data to predict daily precipitation using Multilinear regression (MLR) along with two artificial intelligence (AI) techniques, specifically Artificial Neural Networks (ANN) and Neuro-Fuzzy Inference System (ANFIS). …”
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THE PROBLEM OF ENERGY EFFICIENCY OF SYSTEMS BASED ON ARTIFICIAL INTELLIGENCE OF THE INTERNET OF THINGS (AIOT) by С. В. Войтко

“…It was determined that integrating artificial intelligence functionality into the IoT infrastructure provides the opportunity to store big data for processing using artificial intelligence elements capable of conducting predictive analysis to make informed management decisions. …”
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Length Estimation of Pneumatic Artificial Muscle with Optical Fiber Sensor Using Machine Learning by Yilei Ni, Shuichi Wakimoto, Weihang Tian, Yuichiro Toda, Takefumi Kanda, Daisuke Yamaguchi

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Advancements in Cerebellar Modeling and Its Practical Applications: A Comprehensive Review by Shaojia Huang, Tao Xu, Jiaqing Chen, Jiajia Huang, Zhikun Wang, Ya Ke, Wing Ho Yung

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