Nonlinear Dynamic Surface Control of Chaos in Permanent Magnet Synchronous Motor Based on the Minimum Weights of RBF Neural Network by Shaohua Luo

“…RBF neural network is used to approximate the nonlinearities and an adaptive law is employed to estimate unknown parameters. …”
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Prediction of Final Phosphorus Content of Steel in a Scrap-Based Electric Arc Furnace Using Artificial Neural Networks by Riadh Azzaz, Mohammad Jahazi, Samira Ebrahimi Kahou, Elmira Moosavi-Khoonsari

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Study on the Safety Thickness of Rock Strata for Outburst Prevention in Deep Tunnel Based on Numerical Modeling and Backpropagation Neural Network by Zhensheng Cao, Jiazhu Liu, Shaoqiang Zhang, Bowen Li, Zhenhu Zhang, Zhongjie Wang, ChenChen Jiang

“…This method combines numerical modeling and backpropagation (BP) neural network. By means of numerical simulation, the internal influence law of the water pressure, lateral pressure coefficient, fault fracture zone width, and tunnel burial depth on the surrounding rock is analyzed. …”
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Effect of accumulative roll bonding process on textural evolution and its comparison with normal rolled AA7005 aluminum alloy by Xie H., Wang M.P., Chen W., Du Y.

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Variability of anti-Müllerian hormone and folliculotropic hormone levels in women of reproductive age in relation to normal or impaired ovarian function by Małgorzata Jusiakowska-Piputa, Maria Kaczmarek

“…The study includes women with PCOS (n=154), POI (n=40), and control group (n=196) with normal ovarian function (NOF). Blood samples were collected to measure AMH and FSH. …”
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Microwave Drying Modelling of Stevia rebaudiana Leaves Using Artificial Neural Network and Its Effect on Color and Biochemical Attributes by Baldev Singh Kalsi, Sandhya Singh, Mohammed Shafiq Alam, Surekha Bhatia

“…Furthermore, multilayer feed forward (MLF) artificial neural network (ANN) using backpropagation algorithm was used to predict the moisture ratio of Stevia leaves during microwave drying. …”
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Application of Artificial Neural Networks and Adaptive Neuro-Fuzzy Inference Systems to Predict Activated Carbon Properties for Methane Storage by Ali Ahmadpour, Neda Jahanshahi, Sajjad Rashidi, Naser Chenarani, Mohammad Jaber Darabi Mahboub

“…Two models of artificial neural networks and adaptive neuro-fuzzy interference systems are used. …”
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Effectiveness of Sambiloto (Andrographis paniculata) Supplementation on Antibody Titers of Newcastle Disease, Avian Influenza and Infectious Bursal Disease in Broilers by Madi Hartono, Muhammad Mirandy Pratama Sirat, Purnama Edy Santosa, Ratna Ermawati

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Applying a Cerebellar Model Articulation Controller Neural Network to a Photovoltaic Power Generation System Fault Diagnosis by Kuei-Hsiang Chao, Bo-Jyun Liao, Chin-Pao Hung

“…This study employed a cerebellar model articulation controller (CMAC) neural network to conduct fault diagnoses on photovoltaic power generation systems. …”
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The Immunoexpression of Glucocorticoid Receptors in Breast Carcinomas, Lactational Change, and Normal Breast Epithelium and Its Possible Role in Mammary Carcinogenesis by Raja Alyusuf, Javed Fayyaz Wazir, Urmil Prabha Brahmi, Abdul Rahman Fakhro, Moiz Bakhiet

“…Immunohistochemistry (IHC) for GRs was performed on archival formalin-fixed paraffin-embedded tissue blocks of 96 cases comprising 52 invasive carcinomas, 21 cases with lactational change, and 23 cases showing normal mammary tissue histology. Results. Results reveal an overexpression of GRs in mammary malignant epithelium as compared to both normal and lactational groups individually and combined. …”
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Compound Fault Diagnosis for Gearbox Based Using of Euclidean Matrix Sample Entropy and One-Dimensional Convolutional Neural Network by Decai Zhang, Xueping Ren, Hanyue Zuo

“…In this paper, a one-dimensional convolutional neural network (1-D CNN) intelligent diagnosis method with improved SoftMax function is proposed. …”
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A Synergy of Convolutional Neural Networks for Sensor-Based EEG Brain–Computer Interfaces to Enhance Motor Imagery Classification by Souheyl Mallat, Emna Hkiri, Abdullah M. Albarrak, Borhen Louhichi

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Automatic Detection of Railway Faults Using Neural Networks: A Comparative Study of Transfer Learning Models and YOLOv11 by Omar Rodríguez-Abreo, Mario A. Quiroz-Juárez, Idalberto Macías-Socarras, Juvenal Rodríguez-Reséndiz, Juan M. Camacho-Pérez, Gabriel Carcedo-Rodríguez, Enrique Camacho-Pérez

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Rat Brain Normalization Templates for Robust Regional Analysis of [C]ABP688 Positron Emission Tomography/Computed Tomography by Jeroen Verhaeghe, Leonie Wyffels, Tine Wyckhuys, Sigrid Stroobants, Steven Staelens

“…A methodology to generate rat brain templates for spatial normalization of positron emission tomographic (PET)/computed tomographic (CT) images is described and applied to generate three different templates for imaging of [ 11 C]ABP688, a PET ligand binding to the metabotropic glutamate 5 receptor. …”
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Existence and Exponential Stability of Equilibrium Point for Fuzzy BAM Neural Networks with Infinitely Distributed Delays and Impulses on Time Scales by Yongkun Li, Lijie Sun, Li Yang

“…Our example also shows that the described time and continuous neural time networks have the same dynamic behaviours for the stability.…”
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Actin Alpha 2 (ACTA2) Downregulation Inhibits Neural Stem Cell Migration through Rho GTPase Activation by Ji Zhang, Xuheng Jiang, Chao Zhang, Jun Zhong, Xuanyu Fang, Huanhuan Li, Fangke Xie, Xiaofei Huang, Xiaojun Zhang, Quan Hu, Hongfei Ge, Anyong Yu

“…Although neural stem cells (NSCs) could migrate towards lesions after central nervous system (CNS) injury, the migration ability always is restricted due to the disturbed composition and density of the adhesion ligands and extracellular matrix (ECM) gradient after CNS injury. …”
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Optimal adjustment of deep neural network parameters in estimating lost vital sign data in body wireless sensor networks by Aboulfazl Ebrahimi, Mahboubeh Shamsi, Morteza Mohajjel

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BMP4/LIF or RA/Forskolin Suppresses the Proliferation of Neural Stem Cells Derived from Adult Monkey Brain by Xinxin Han, Liming Yu, Qingqing Chen, Min Wang, Jie Ren, Guangming Wang, Yihong Chen, Lixia Lu, Haibin Tian, Li Chen, Ying Zhang, Yuehua Liu, Hua He, Zhengliang Gao

“…Monkeys are much closer to human and are the most common nonhuman primates which are used in biomedical studies. Neural progenitor cells can originate from the hippocampus of adult monkeys. …”
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How to Identify Patterns of Citywide Dynamic Traffic at a Low Cost? An In-Depth Neural Network Approach with Digital Maps by Li Zhang, Ke Gong, Maozeng Xu, Aixing Li, Yuanxiang Dong, Yong Wang

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M&A Short-Term Performance Based on Elman Neural Network Model: Evidence from 2006 to 2019 in China by Ming Xiao, Xionghui Yang, Ge Li

“…After comparing the five abnormal return (AR) calculation models, it is found that the commonly used market model method and the market adjustment method have statistical defects while the Elman feedback neural network model is capable of good nonlinear prediction ability. …”
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