Hybrid neural networks for continual learning inspired by corticohippocampal circuits by Qianqian Shi, Faqiang Liu, Hongyi Li, Guangyu Li, Luping Shi, Rong Zhao

“…Our CH-HNNs incorporate artificial neural networks and spiking neural networks, leveraging prior knowledge to facilitate new concept learning through episode inference, and offering insights into the neural functions of both feedforward and feedback loops within corticohippocampal circuits. …”
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Pinning Synchronization of Delayed Neural Networks with Nonlinear Inner-Coupling by Yangling Wang, Jinde Cao

“…Without assuming the symmetry and irreducibility of the outer-coupling weight configuration matrices, we investigate the pinning synchronization of delayed neural networks with nonlinear inner-coupling. Some delay-dependent controlled stability criteria in terms of linear matrix inequality (LMI) are obtained. …”
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Integration of neural models in the process of technological preparation of the production of castings by I. B. Odarchenko, V. A. Zharanov, I. N. Prusenko

Subjects: “…neural network modeling…”
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Rugularizing generalizable neural radiance field with limited-view images by Wei Sun, Ruijia Cui, Qianzhou Wang, Xianguang Kong, Yanning Zhang

Subjects: “…Neural radiance field…”
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Applying a probabilistic neural network to hotel bankruptcy prediction by Manuel Ángel Fernández-Gámez, Ana José Cisneros-Ruiz, Ángela Callejón-Gil

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Parsimonious mixture of mean-mixture of normal distributions with missing data by Farzane Hashemi, Saeed Darijani

“…In this paper, a mixture of multivariate mean-mixture of normal distributions is considered for handling missing data. …”
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Dysbiosis of Gastric Mucosal Fungal Microbiota in the Gastric Cancer Microenvironment by Zhenzhan Zhang, Hao Feng, Yaopeng Qiu, Zhou Xu, Qingfeng Xie, Wenfu Ding, Hao Liu, Guoxin Li

“…Dysbiosis of gastric mucosal fungal microbiome was observed between the tumor and normal groups in GC. …”
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A Hardware Accelerator for the Inference of a Convolutional Neural network by Edwin González, Walter D. Villamizar Luna, Carlos Augusto Fajardo Ariza

“… Convolutional Neural Networks (CNNs) are becoming increasingly popular in deep learning applications, e.g. image classification, speech recognition, medicine, to name a few. …”
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Ultrasonographic Imaging of Normal and Impacted Omasum in Indian Crossbred Cows by Sheikh Imran, S. P. Tyagi, Amit Kumar, Shivali Sharma

“…The difference between mean dorsoventral extents of the normal and impacted omasums was statistically insignificant. …”
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Artificial Neural Network-Based System for PET Volume Segmentation by Mhd Saeed Sharif, Maysam Abbod, Abbes Amira, Habib Zaidi

“…Artificial intelligence (AI) approaches can provide improved accuracy and save decent amount of time. Artificial neural networks (ANNs), as one of the best AI techniques, have the capability to classify and quantify precisely lesions and model the clinical evaluation for a specific problem. …”
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Drug discovery and mechanism prediction with explainable graph neural networks by Conghao Wang, Gaurav Asok Kumar, Jagath C. Rajapakse

“…XGDP represents drugs with molecular graphs, which naturally preserve the structural information of molecules and a Graph Neural Network module is applied to learn the latent features of molecules. …”
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Blockchain covert communication scheme based on the cover of normal transactions by Pengkun JIANG, Wenyin ZHANG, Jiuru WANG, Shanyun HUANG, Wanshui SONG

“…With the development of computer technology, the situation of modern network attack and defense is becoming increasingly severe, and the problem of secure transmission of secret information needs to be solved urgently.Covert communication technology embeds secret information into the carrier and transmits the information safely through the covert channel.However, the traditional covert channels face the challenges of data damaging, attack, detection and so on, which cannot meet the higher security requirements.As a public data platform, blockchain can embed secret information under the cover of a large number of transactions.With its tamper proof, anonymity, decentralization and other characteristics, blockchain can well solve the problems of traditional covert channels and achieve secure covert communication.However, the existing blockchain covert communication schemes are limited by low communication efficiency and poor security.How to improve safety and efficiency of covert communication is a research focus of blockchain covert communication.Motivated by this issue, a blockchain covert communication scheme based on the cover of normal transactions was proposed.The hash algorithm was used to build a transmission-free password table to embed secret information without changing any transaction data.Using the elliptic curve feature, transactions with hidden information can be quickly screened out from a large number of transactions, to extract secret information quickly.This scheme improves the security and efficiency of covert communication and has strong portability.Theoretical analysis shows that attackers cannot distinguish between ordinary transactions and special transactions.This scheme has high anti-detection and scalability.Besides, the experimental results of the bitcoin test network show the high efficiency of this scheme.…”
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Theta function identities from optical neural network transformations by E. Elizalde, A. Romeo

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Preliminary Investigation of the Mechanical Anisotropy of the Normal Human Corneal Stroma by Chao Xue, Yaoqi Xiang, Min Shen, Di Wu, Yan Wang

“…To investigate the anisotropic characteristics of the normal human corneal stroma using fresh corneal tissue. …”
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Ameloblastic Fibroodontoma of the Mandible with Normal Karyotype in a Pediatric Patient by Esther Manor, Elena Kan, Lipa Bodner

“…Histopathology was a classic AFO. The karyotype was normal. No recurrence was noted at 12 months. Conclusions. …”
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Specialized Fungal Parasites and Opportunistic Fungi in Gardens of Attine Ants by Fernando C. Pagnocca, Virginia E. Masiulionis, Andre Rodrigues

“…Many fungal parasites may have small impacts on the ants' fungal colony when the colony is balanced, but then may opportunistically shift to having large impacts if the ants' colony becomes unbalanced.…”
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Application of convolutional neural networks in the intelligence security system subsystem by V. S. Demeshko, A. I. Фёдоров

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RETRACTED: Using LSTM neural network for power consumption forecasting by Abdurazakov Nosirbek, Aliev Rayimjon, Ergashev Sirojiddin, Kuchkarov Akmaljon

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Human action recognition based on back propagation neural network by Jian ZOU

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Neural Plasticity and Proliferation in the Generation of Antidepressant Effects: Hippocampal Implication by Fuencisla Pilar-Cuéllar, Rebeca Vidal, Alvaro Díaz, Elena Castro, Severiano dos Anjos, Jesús Pascual-Brazo, Raquel Linge, Veronica Vargas, Helena Blanco, Beatriz Martínez-Villayandre, Ángel Pazos, Elsa M. Valdizán

“…Neural Plasticity…”
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