Optimal Learning Behavior Prediction System Based on Cognitive Style Using Adaptive Optimization-Based Neural Network by Ghada Aldabbagh, Daniyal M. Alghazzawi, Syed Hamid Hasan, Mohammed Alhaddad, Areej Malibari, Li Cheng

“…Therefore, being motivated by the problems mentioned above, this paper proposes the concept of adaptive optimization-based neural network (AONN). The learning behavior and browsing behavior features are extracted and incorporated into the input of artificial neural network (ANN). …”
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Convolutional neural network (CNN) configuration using a learning automaton model for neonatal brain image segmentation. by Iran Sarafraz, Hamed Agahi, Azar Mahmoodzadeh

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In search of a warning strategy against exchange-rate attacks: Forecasting tactics using artificial neural networks by A. S. Andreou, G. A. Zombanakis, E. F. Georgopoulos, S. D. Likothanassis

Subjects: “…Shocks; Interest-rate; Forecasting; Neural-networks; Genetic algorithms.…”
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Global existence of periodic solutions in a simplified four-neuron BAM neural network model with multiple delays

“…<p>We consider a simplified bidirectional associated memory (BAM) neural network model with four neurons and multiple time delays. …”
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Determination of a normal orogenic palaeo-geothermal gradient with clay mineral and organic matter indices: a review by Rafael Ferreiro Mählmann, Meinert Rahn, Sébastien Potel, Lan Nguyen-Thanh, Rainer Petschick

Subjects: “…Normal heat flow…”
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Advanced in Islanding Detection and Fault Classification for Grid-Connected Distributed Generation using Deep Learning Neural Network by Rusvaira Qatrunnada, Novizon Novizon, Mardini Hasanah, Tuti Angraini, Anton Anton

“…Protek: Jurnal Ilmiah Teknik Elektro…”
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Metabolic Effects of Testosterone Hormone Therapy in Normal and Orchiectomized Male Rats: From Indirect Calorimetry to Lipolytic Enzymes by Mahmoud Mustafa Ali Abulmeaty, Ali Madi Almajwal, Mohamed Farouk ElSadek, Mohamed Y Berika, Suhail Razak

“…This study measured respiratory quotient (RQ), TEE, ghrelin, insulin, and key lipolysis enzyme concentrations in relation to body weight (wt) and food intake (FI) in both normal and bilaterally orchiectomized rats with/without T treatment. …”
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Calcium bridges built by mitochondria-associated endoplasmic reticulum membranes: potential targets for neural repair in neurological diseases by Yichen Peng, Li Zhou, Yaju Jin, Danli Wu, Na Chen, Chengcai Zhang, Hongpeng Liu, Chunlan Li, Rong Ning, Xichen Yang, Qiuyue Mao, Jiaxin Liu, Pengyue Zhang

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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

“…In this work, we propose a novel method that addresses these challenges by employing empirical mode decomposition (EMD) for feature extraction and a parallel convolutional neural network (PCNN) for feature classification. …”
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Damage Identification of a Steel Frame Based on Integration of Time Series and Neural Network under Varying Temperatures by Minshui Huang, Wei Zhao, Jianfeng Gu, Yongzhi Lei

“…This study presents a methodology incorporating the autoregressive (AR) time series model with two-step artificial neural networks (ANNs) to identify damage under temperature variations. …”
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An adaptive estimation method to predict thermal comfort indices man using car classification neural deep belief by Alireza Entezari, Fatemeh Mayvaneh, Khosro Rezaie, Fatemeh Rahimi

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Simulating X-ray beam energy and detector signal processing of an industrial CT using implicit neural representations by Edwin Blum, Moritz Burmeister, Florian Stamer, Gisela Lanza

“…To address this challenge, this work explores the potential of implicit neural representation (INR) as an alternative to the analytical models used in vCT. …”
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Modified AlexNet Convolution Neural Network For Covid-19 Detection Using Chest X-ray Images by Shadman Q. Salih, Hawre Kh. Abdulla, Zanear Sh. Ahmed, Nigar M. Shafiq Surameery, Rasper Dh. Rashid

“…In this work we used a deep learning technique based on Convolution Neural Network (CNN) to detect and diagnose COVID-19 disease using Chest X-ray images.  …”
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Analysis of reservoir rock permeability changes due to solid precipitation during waterflooding using artificial neural network by Azizollah Khormali, Soroush Ahmadi, Aleksandr Nikolaevich Aleksandrov

“…Experimental rock permeability data were then used to develop a model using a multi-layer perceptron (MLP) artificial neural network (ANN). In order to create a high-performing MLP-ANN model, various transfer functions and training algorithms were evaluated. …”
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Adaptive Neural Control Approach for Switched Nonlinear Discrete-Time Systems With Actuator Faults and Input Dead Zone by Ymnah Alruwaily, Mohamed Kharrat

“…The complex structure of these systems, combined with actuator faults and dead-zone inputs, presents significant challenges for control and this problem is addressed by approximating the unknown functions of each subsystem using radial basis function neural networks. Under arbitrary switching signals, the suggested controller and adaptive laws ensure that all signals remain bounded and the system output tracks the reference signal with a small bounded tracking error. …”
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Enhancing Solar Energy Prospects: Predicting Direct Normal Irradiance in Qinghai Province Using ALO-RF Modeling by MD Abdul Munnaf, Tawhidul Islam

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A combined method of formation of a cryptographic key with secret modification of the results of synchronization of artificial neural networks by M. L. Radziukevich

Subjects: “…synchronized artificial neural networks…”
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Early screening of lung function by electrical impedance tomography in people with normal spirometry reveals unrecognized pathological features by Shuoyao Qu, Enzhi Feng, Daihan Dong, Lin Yang, Meng Dai, Inéz Frerichs, Shaojie Liu, Yi Gao, Jinping Zheng, Liqiang Song, Zhanqi Zhao

“…Electrical impedance tomography measurements were conducted in 130 participants with normal spirometry for concept establishment phase and 105 for validation phase. …”
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Design of Morlet Wavelet Neural Networks for Solving the Nonlinear Van der Pol–Mathieu–Duffing Oscillator Model by Ali Hasan Ali, Muhammad Amir, Jamshaid Ul Rahman, Ali Raza, Ghassan Ezzulddin Arif

Subjects: “…Morlet wavelet neural network…”
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Contrasting the Performance of Active and Passive Unit Trusts under Normal Market Conditions: Is the Experience of Emerging Markets Different? by Thabo J. Gopane, Mukundi Ravhura

“…Currently, the literature cannot give a stylised fact of whether the historical claims of passive–active relationships relate to normal market conditions or not, which is a flaw. …”
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