Loss shaping enhances exact gradient learning with Eventprop in spiking neural networks by Thomas Nowotny, James P Turner, James C Knight

Subjects: “…spiking neural network…”
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Operational strategies to the mechanical performance assessment of concrete with the neural network and artificial intelligence by Hadi Faghihmaleki, Mehdi Ghadiri

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Iwolefu Funeral Insurance and the Socioeconomics of Burial Ceremony in Ikorodu area of Lagos State by Faruq Idowu Boge

Subjects: “…Iwolefu, Funeral Insurance, Burial Ceremony, Socio-Economics, Ikorodu Area…”
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SPICE-Level Demonstration of Unsupervised Learning With Spintronic Synapses in Spiking Neural Networks by Salah Daddinounou, Anteneh Gebregiorgis, Said Hamdioui, Elena-Ioana Vatajelu

“…Spiking Neural Networks (SNNs) are Artificial Neural Networks which promise to mimic the biological brain processing with unsupervised online learning capability for various cognitive tasks. …”
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Application of Neural Network in the Stability of Biped Robot and Embedded Control of Walking Mode by Jianrui Zhang, Zhaohui Yuan, Huan Geng, Sheng Dong, Fuli Zhang, Jingchao Li

“…This article aims to study the application of neural networks in the stability of biped robots and the embedded control of walking mode. …”
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Adaptive Control Using Neural Networks and Approximate Models for Nonlinear Dynamic Systems by Khadija El Hamidi, Mostafa Mjahed, Abdeljalil El Kari, Hassan Ayad

“…In this research, a comparative study of two recurrent neural networks, nonlinear autoregressive with exogenous input (NARX) neural network and nonlinear autoregressive moving average (NARMA-L2), and a feedforward neural network (FFNN) is performed for their ability to provide adaptive control of nonlinear systems. …”
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Quantum Stochastic Cable Equation Acting on Functionals of Discrete-Time Normal Martingales by Yuling Tang, Caishi Wang, Suling Ren, Jinshu Chen

“…Let M be a discrete-time normal martingale satisfying some mild conditions. …”
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The normal cell proliferation and wound healing effect of polysaccharides from Ganoderma amboinense by Shuangzhi Zhao, Ming Lei, Hui Xu, Hailun He, Alexander Suvorov, Junhua Wang, Jiying Qiu, Qingxin Zhou, Jinyu Yang, Leilei Chen

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Research for Pedestrian Steel Bridge Design of Neural Network in Structural Model Updating by Rui Zhao, Yuhang Wu, Zehua Feng

“…The application of the neural network method in health monitoring and structural system identification has received extensive attention. …”
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Human response times are governed by dual anticipatory processes with distinct neural signatures by Ashwin G. Ramayya, Vivek Buch, Andrew Richardson, Timothy Lucas, Joshua I. Gold

“…These biases had distinct neural signatures in prestimulus neural activity modulations that were distributed and intermixed across the brain: the FA bias was most evident in preparatory motor activity immediately prior to response-cue presentation, whereas the RT bias was most evident in visuospatial activity at the beginning of the foreperiod. …”
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On Global Exponential Stability of Discrete-Time Hopfield Neural Networks with Variable Delays by Qiang Zhang, Xiaopeng Wei, Jin Xu

“…Global exponential stability of a class of discrete-time Hopfield neural networks with variable delays is considered. …”
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Real-time facial reconstruction and expression replacement based on neural radiation field by Shenning Zhang, Hui Li, Xuefeng Tian

Subjects: “…Neural radiation field…”
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Battery Energy Forecasting in Electric Vehicle Using Deep Residual Neural Network by Mohamad Reda A. Refaai, Jyothilal Nayak Bharothu, T. V. V. Pavan Kumar, Chodagam Srinivas, M. Sudhakar, Anirudh Bhowmick

“…TCN, a new machine learning technique, combines the advantages of residual neural networks (ResNet) with the computing efficiency of neural networks to produce a technique that is both efficient and effective. …”
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Morphological Characteristics of Normal Foveal Avascular Zone by Optical Coherence Tomography Angiography by Zeiad Eldaly, Wael Soliman, Mohamed Sharaf, Ali Natag Reyad

“…OCT-A could efficiently provide both quantitative and qualitative assessment of normal FAZ; such characterizations were difficult by standard FAZ assessment procedures like FFA.…”
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Detection of weeds in vegetables using image classification neural networks and image processing by Huiping Jin, Kang Han, Kang Han, Hongting Xia, Bo Xu, Xiaojun Jin

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Distributed Data Mining Based on Deep Neural Network for Wireless Sensor Network by Chunlin Li, Xiaofu Xie, Yuejiang Huang, Hong Wang, Changxi Niu

“…Rising to these challenges, this paper proposes a distributed data mining method based on deep neural network (DNN), by dividing the deep neural network into different layers and putting them into sensors. …”
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Randomized radial basis function neural network for solving multiscale elliptic equations by Yuhang Wu, Ziyuan Liu, Wenjun Sun, Xu Qian

Subjects: “…randomized radial basis function neural network…”
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Early Warning Model of Sports Injury Based on RBF Neural Network Algorithm by Fuxing He

“…In this paper, we use a neural network to realize big data analysis of sports injury data. …”
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Influence of Melatonin on the Proliferative and Apoptotic Responses of the Prostate under Normal and Hyperglycemic Conditions by Marina G. Gobbo, Nishtman Dizeyi, Per-Anders Abrahamsson, Per-Anders Bertilsson, Viviane Sanches Masitéli, Eloisa Zanin Pytlowanciv, Sebastião R. Taboga, Rejane M. Góes

“…The effect of MLT (500 µM, 5 mM, and 10 mM) on androgen-dependent (22Rv1) and androgen-independent (PC3) cancer cells and human prostate epithelial cells (PNTA1) under normal and hyperglycemic conditions (HG, 450 mg/dL) was analyzed. …”
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Singleton-based species names and fungal rarity: Does the number really matter? by Jonathan Cazabonne, Allison K. Walker, Jonathan Lesven, Danny Haelewaters

“…However, rarity and singleton phenomena lack consideration and valorization in fungal studies. In particular, the practice of publishing new fungal species names based on a single specimen remains a cause of debate. …”
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