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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Artificial intelligence based evaluation of the tri-hybridized (WS₂+Fe₃O₄+CuS) flow subjected to the thermal performance in porous systems by Sohail Ahmad, Hessa A. Alsalmah

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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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Spatiotemporal forecasting of the edge localized modes in tokamak plasmas using neural networks by Anirban Samaddar, Qian Gong, Sandeep Madireddy, Christopher Hansen, Semin Joung, David R Smith, Yixuan Sun, Fatima Ebrahimi, Prasanna Balapraksh, Andrew Oakleigh Nelson

“…Recent research has demonstrated the power of neural networks in approximating continuous functions. …”
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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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Skin-lesion segmentation using boundary-aware segmentation network and classification based on a mixture of convolutional and transformer neural networks by Javaria Amin, Marium Azhar, Habiba Arshad, Amad Zafar, Seong-Han Kim

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Bridging human emotion processing and deep neural networks: insights from representational similarity analysis by Lu Nie, Ke Chen, Yue Li, Yonghong Tian, Yixuan Ku

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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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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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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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Neural network models for diagnosing recurrent aphthous ulcerations from clinical oral images by R. Raja Subramanian, R. Raja Sudharsan, Bavithra Vairamuthu, Deshinta Arrova Dewi

“…Our research focuses on the advanced classification of oral ulcer stages using a convolutional neural network (CNN). To evaluate performance comprehensively, we developed and tested three custom models, comparing their effectiveness in distinguishing between different stages of oral ulcers. …”
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Curvature-Adaptive Learning Rate Optimizer: Theoretical Insights and Empirical Evaluation on Neural Network Training by Kehelwala Dewage Gayan Maduranga

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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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A Review of Short-Term, Long-Term, and Memory Consolidation Mechanisms in the Hippocampus and Cerebral Cortex by Zuomin Yang, Anis Salwa Binti Mohd Khairuddin, Joon Huang Chuah, Wei Ru Wong, Hafiz Muhammad Fahad Noman, Tri Wahyu Oktaviana Putri, Xin Xu, Md Minhazul Haq

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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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Reconstruction of U.S. Regional-Scale Soybean SIF Based on MODIS Data and BP Neural Network by YAO Jianen, LIU Haiqiu, YANG Man, FENG Jinying, CHEN Xiu, ZHANG Peipei

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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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Prosumer Cost Efficiency and Ensuring Grid Stability Through a Hierarchical PPO Framework in Decentralized Community Energy Management by Ajay Singh, Bijaya Ketan Panigrahi

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Learning Dendritic-Neuron-Based Motion Detection for RGB Images: A Biomimetic Approach by Tianqi Chen, Yuki Todo, Zhiyu Qiu, Yuxiao Hua, Delai Qiu, Xugang Wang, Zheng Tang

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