Factors Indicating the Accuracy of Fetal Weight Estimation in Preterm Newborns with Normal Amniotic Fluid Volume by Onur Guralp, Nevin Tuten, Abdullah Tuten, Altay Gezer

“… OBJECTIVE: To determine the factors indicating the accuracy of fetal weight estimation in the last prenatal ultrasonography before delivery in preterm newborns with normal amniotic fluid volume. STUDY DESIGN: Three hundred and seventy-one singleton pregnancies with normal amniotic fluid volume and delivered at between 24+0 and 37+0 gestational weeks were evaluated in a retrospective study. …”
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Prediction of Ammunition Storage Reliability Based on Improved Ant Colony Algorithm and BP Neural Network by Fang Liu, Hua Gong, Ligang Cai, Ke Xu

“…A new improved algorithm based on three-stage ant colony optimization (IACO) and BP neural network algorithm is proposed to predict ammunition failure numbers. …”
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Screw Performance Degradation Assessment Based on Quantum Genetic Algorithm and Dynamic Fuzzy Neural Network by Xiaochen Zhang, Hongli Gao, Haifeng Huang

“…To evaluate the performance of ball screw, screw performance degradation assessment technology based on quantum genetic algorithm (QGA) and dynamic fuzzy neural network (DFNN) is studied. The ball screw of the CINCINNATIV5-3000 machining center is treated as the study object. …”
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Are we ready for the new normal in e-business education? Sentiment analysis of learners' opinions on MOOCs by O. F. Derindag, B. Cizmeci

“…It is thought that this study will contribute to the stakeholders in terms of showing how MOOCs and micro-credentials have a high potential to understanding trends in education especially in the new normal after the COVID-19 pandemic. The holistic education model of institutions has difficulty meeting the competitive nature and result-oriented approach of the e-business ecosystem. …”
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Discovering and Characterizing Hidden Variables Using a Novel Neural Network Architecture: LO-Net by Soumi Ray, Tim Oates

“…We claim that theoretical entities, or hidden variables, are important for the development of concepts within the lifetime of an individual and present a novel neural network architecture that solves three problems related to theoretical entities: (1) discovering that they exist, (2) determining their number, and (3) computing their values. …”
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Vibration Reliability Analysis of Drum Brake Using the Artificial Neural Network and Important Sampling Method by Zhou Yang, Unsong Pak, Cholu Kwon

“…Two types of ANNs used in this study are the radial basis function neural network (RBF) and back propagation neural network (BP). …”
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Evaluation the efficiency of using Artificial Neural Networks in predicting meteorological droughts in north-west of Iran by Arash malekian, mahro dehbozorgi, Amir hoshang ehsani

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Relating Sensory, Cognitive, and Neural Factors to Older Persons’ Perceptions about Happiness: An Exploratory Study by Alexandra J. Horne, Kimberly S. Chiew, Jie Zhuang, Linda K. George, R. Alison Adcock, Guy G. Potter, Eleonora M. Lad, Scott W. Cousins, Frank R. Lin, Sara K. Mamo, Nan-Kuei Chen, Abigail J. Maciejewski, Xuan Duong Fernandez, Heather E. Whitson

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Forward and Reverse Process Models for the Squeeze Casting Process Using Neural Network Based Approaches by Manjunath Patel Gowdru Chandrashekarappa, Prasad Krishna, Mahesh B. Parappagoudar

“…An attempt is also made to meet the industrial requirements of developing the reverse model to predict the recommended squeeze cast parameters for the desired density and SDAS. Two different neural network based approaches have been proposed to carry out the said task, namely, back propagation neural network (BPNN) and genetic algorithm neural network (GA-NN). …”
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Thickness Mapping of Eleven Retinal Layers Segmented Using the Diffusion Maps Method in Normal Eyes by Raheleh Kafieh, Hossein Rabbani, Fedra Hajizadeh, Michael D. Abramoff, Milan Sonka

“…This study was conducted to determine the thickness map of eleven retinal layers in normal subjects by spectral domain optical coherence tomography (SD-OCT) and evaluate their association with sex and age. …”
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A New Cardiovascular Mock Loop Driven by Novel Active Capacitance in Normal and Abnormal Conditions by Mehmet Iscan, Aydin Yesildirek

“…Rigorous experimental validation, encompassing numerical simulations and comparative analyses with prior research, attests to the precision and efficacy of the proposed hMCL in faithfully replicating both normal and abnormal CV conditions. Significantly, the hMCL demonstrates that increasing HR enhances LVC while maintaining physiological pressures; however, this increase in LVC corresponds with a decrease in LVV, in alignment with human data and FSM principles. …”
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Precise and interpretable neural networks reveal epigenetic signatures of aging across youth in health and disease by David Martínez-Enguita, Thomas Hillerton, Julia Åkesson, Daniel Kling, Maria Lerm, Mika Gustafsson

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Generalization of artificial neural network for predicting methane production in laboratory-scale anaerobic bioreactor landfills by M.J. Zoqi

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Boundedness and Stability for Discrete-Time Delayed Neural Network with Complex-Valued Linear Threshold Neurons by Chengjun Duan, Qiankun Song

“…The discrete-time delayed neural network with complex-valued linear threshold neurons is considered. …”
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Learning deep forest for face anti-spoofing: An alternative to the neural network against adversarial attacks by Rizhao Cai, Liepiao Zhang, Changsheng Chen, Yongjian Hu, Alex Kot

“…Face anti-spoofing (FAS) is significant for the security of face recognition systems. neural networks (NNs), including convolutional neural network (CNN) and vision transformer (ViT), have been dominating the field of the FAS. …”
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Chronic Restraint Stress Induces an Isoform-Specific Regulation on the Neural Cell Adhesion Molecule in the Hippocampus by K. Touyarot, C. Sandi

“…Neural Plasticity…”
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Reorganizing Neural Network System for Two Spirals and Linear Low-Density Polyethylene Copolymer Problems by G. M. Behery, A. A. El-Harby, Mostafa Y. El-Bakry

“…This paper presents an automatic system of neural networks (NNs) that has the ability to simulate and predict many of applied problems. …”
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The Strategy of Lexical Specialization Explicitation in Quran Translation: A Study on Majāz Mursal by Mahmud Yunus by Nasimah Abdullah, Saifulah Samsudin

“…This study's primary focus is on using the rhetorical device majāz mursal (synecdoche) exclusively. This study adopts a qualitative approach and utilises purposive sampling methods. …”
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Prosthetic Hand Based on Human Hand Anatomy Controlled by Surface Electromyography and Artificial Neural Network by Larisa Dunai, Isabel Seguí Verdú, Dinu Turcanu, Viorel Bostan

“…In this paper, we present a method based on real-time surface electroencephalography hand-based gesture recognition using a multilayer neural network. For this purpose, the sEMG signals have been amplified, filtered and sampled; then, the data have been segmented, feature extracted and classified for each gesture. …”
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Copious Podocyturia without Proteinuria and with Normal Renal Function in a Young Adult with Fabry Disease by H. Trimarchi, R. Canzonieri, A. Muryan, A. Schiel, A. Araoz, M. Forrester, A. Karl, F. Lombi, J. Andrews, V. Pomeranz, T. Rengel, E. Zotta

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