Exponential Convergence for Cellular Neural Networks with Time-Varying Delays in the Leakage Terms by Zhibin Chen, Junxia Meng

“…We consider a class of cellular neural networks with time-varying delays in the leakage terms. …”
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An Inventory Controlled Supply Chain Model Based on Improved BP Neural Network by Wei He

“…Aiming at these problems, a new fast convergent BP neural network model for predicting inventory level is developed in this paper. …”
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Dichotomous Effect of Caffeine, Curcumin, and Naringenin on Genomic DNA of Normal and Diabetic Subjects by Debarati Chattopadhyay, Ashok Somaiah, Divya Raghunathan, Kavitha Thirumurugan

“…The objective of this study is to find the dichotomic behavior of caffeine, curcumin, and naringenin on DNA of diabetic and normal subjects in the presence and absence of copper, hydrogen peroxide, and complex of copper-hydrogen peroxide. …”
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Interpreting convolutional neural networks' low-dimensional approximation to quantum spin systems by Yilong Ju, Shah Saad Alam, Jonathan Minoff, Fabio Anselmi, Han Pu, Ankit Patel

“…Convolutional neural networks (CNNs) have been employed along with variational Monte Carlo methods for finding the ground state of quantum many-body spin systems with great success. …”
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Effects of Exercise in Immersive Virtual Environments on Cortical Neural Oscillations and Mental State by Tobias Vogt, Rainer Herpers, Christopher D. Askew, David Scherfgen, Heiko K. Strüder, Stefan Schneider

“…Neural Plasticity…”
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Comparison of the fungal contamination in Rainbow trout feed in farms located in fields and mountains by Donya Nikaein, Aghil Sharifzadeh, Ahmad Erfanmaensh, Mohammad sadegh Moradi, Mohammadreza Fatahpour

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Nonlinear dynamic evolution of a novel normalized time-fractional Burgers equation by Junseok Kim

“…In this paper, a novel normalized time-fractional Burgers equation is proposed to enable a fair computational comparison study of its nonlinear dynamic evolution for various fractional order values. …”
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Thermoelectric properties of a quantum dot attached to normal metal and topological superconductor by Piotr Trocha, Thibaut Jonckheere, Jérôme Rech, Thierry Martin

“…Abstract The thermoelectric properties of hybrid systems based on a single-level quantum dot coupled to a normal-metal/half-metallic lead and attached to a topological superconductor wire are investigated. …”
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Prediction of Compressive Strength of Concrete Using Artificial Neural Network and Genetic Programming by Palika Chopra, Rajendra Kumar Sharma, Maneek Kumar

“…An effort has been made to develop concrete compressive strength prediction models with the help of two emerging data mining techniques, namely, Artificial Neural Networks (ANNs) and Genetic Programming (GP). …”
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Improved Estimators of the Mean of a Normal Distribution with a Known Coefficient of Variation by Wuttichai Srisodaphol, Noppakun Tongmol

“…This paper is to find the estimators of the mean θ for a normal distribution with mean θ and variance aθ2, a>0, θ>0. …”
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First detection of fungal diversity associated with Prunus salicina Lindl malformation syndrome by Dan Huang, Po Pu, Xiaosi He, Mingxian Lan, Bang Du, Lixia Zhu, Qian Li, Yongli Yang, Rui Xiang, Longzhang Wang, Guizhen Li, Rongjiao Wang

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Complete Periodic Synchronization of Memristor-Based Neural Networks with Time-Varying Delays by Huaiqin Wu, Luying Zhang, Sanbo Ding, Xueqing Guo, Lingling Wang

“…Secondly, complete periodic synchronization is considered for memristor-based neural networks. According to the state-dependent switching feature of the memristor, the error system is divided into four cases. …”
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Terroir and farming practices drive arbuscular mycorrhizal fungal communities in French vineyards by Patricia Battie-Laclau, Adrien Taudière, Mathilde Bernard, Lucas Bodénan, Myriam Duchemin, Yvan de Roman, Azimê Yol, Dominique Barry-Etienne

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Sociodemographic and Lifestyle Factors in relation to Overweight Defined by BMI and “Normal-Weight Obesity” by Bodil Ohlsson, Jonas Manjer

“…A new syndrome, called normal-weight obesity (NWO), is found in individuals with normal weight and excess body fat in contrast to lean and overweight individuals. …”
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Modelling Hysteresis in Shape Memory Alloys Using LSTM Recurrent Neural Network by Mohammad Reza Zakerzadeh, Seyedkeivan Naseri, Payam Naseri

“…To circumvent the complexity of solving these equations, a black box neural network (NN) has been employed in this research to model a rotary actuator actuated by an SMA wire. …”
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Fluorescence images of skin lesions and automated diagnosis using convolutional neural networks by Matheus B. Rocha, Sebastiao Pratavieira, Renan Souza Vieira, Juliana Duarte Geller, Amanda Lima Mutz Stein, Fernanda Sales Soares de Oliveira, Tania R.P. Canuto, Luciana de Paula Vieira, Renan Rossoni, Maria C.S. Santos, Patricia H.L. Frasson, Renato A. Krohling

“…In recent years, interest in applying deep learning (DL) to medical diagnosis has rapidly increased, driven primarily by the development of Convolutional Neural Networks and Transformers. Despite advancements in DL, the automated diagnosis of skin cancer remains a significant challenge. …”
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Analysis of Geometries' Effects on Rotating Stall in Vaneless Diffuser with Wavelet Neural Networks by Chuang Gao, Chuangang Gu, Tong Wang, Bo Yang

“…Wavelet neural network (WNN), which combines the capability of neural network in learning from process and that of wavelet decomposition, was used to study geometry factors on rotating stall in vaneless diffusers. …”
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Image Recommendation Algorithm Combined with Deep Neural Network Designed for Social Networks by Shaohui Du, Zhenghan Chen, Haoyan Wu, Yihong Tang, YuanQing Li

“…In recent years, deep neural networks have achieved great success in many fields, such as computer vision and natural language processing. …”
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Proposal of a new nomenclature for introns in protein-coding genes in fungal mitogenomes by Shu Zhang, Yong-Jie Zhang

“…Abstract Fungal mitochondrial genes are often invaded by group I or II introns, which represent an ideal marker for understanding fungal evolution. …”
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Abstract Computation in Schizophrenia Detection through Artificial Neural Network Based Systems by L. Cardoso, F. Marins, R. Magalhães, N. Marins, T. Oliveira, H. Vicente, A. Abelha, J. Machado, J. Neves

“…Therefore, this work will focus on the development of a diagnostic support system, in terms of its knowledge representation and reasoning procedures, based on a blended of Logic Programming and Artificial Neural Networks approaches to computing, taking advantage of a novel approach to knowledge representation and reasoning, which aims to solve the problems associated in the handling (i.e., to stand for and reason) of defective information.…”
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