Rapid diagnosis of rheumatoid arthritis and ankylosing spondylitis based on Fourier transform infrared spectroscopy and deep learning by Wei Shuai, Xue Wu, Chen Chen, Enguang Zuo, Xiaomei Chen, Zhengfang Li, Xiaoyi Lv, Lijun Wu, Cheng Chen

“…Four classification models, namely artificial neural network (ANN), convolutional neural network (CNN), improved AlexNet model, and multi-scale convolutional neural network (MSCNN) were established. …”
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Development Trend of Information Technology and AdvancedNuclear Power Generation by Tao ZHOU, Haolei ZHANG, Yao YAO, Chunmei LIU

“…Quantum technology can enhance the core fuel function. Artificial intelligence machine data capture and neural networks learn to process and apply information more precisely. …”
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Deep-learning based multi-modal models for brain age, cognition and amyloid pathology prediction by Chenxi Wang, Weiwei Zhang, Ming Ni, Qiong Wang, Chang Liu, Linbin Dai, Mengguo Zhang, Yong Shen, Feng Gao

“…We designed a multi-modal deep-learning framework that employs 3D convolutional neural networks to analyze MRI and additional neural networks to evaluate demographic data. …”
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Opportunities and Challenges of Brain-on-a-Chip Interfaces by Wenwei Shao, Weiwei Meng, Jiachen Zuo, Xiaohong Li, Dong Ming

“…Biological neural networks inherently grant BoCI systems neuro-inspired computational properties—such as ultralow energy consumption and dynamic plasticity—that surpass those of conventional artificial intelligence. …”
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A compositional model for effort‐aware Just‐In‐Time defect prediction on android apps by Kunsong Zhao, Zhou Xu, Meng Yan, Lei Xue, Wei Li, Gemma Catolino

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Multimodal Data Fusion Framework for Early Prediction of Autism Spectrum Disorder by Mohemmed Sha, Hussein Al-Dossary, Mohamudha Parveen Rahamathulla

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Intelligent Obstacle Avoidance Algorithm for Mobile Robots in Uncertain Environment by Liwei Guan, Yu Lu, Zhijie He, Xi Chen

“…In a nondeterministic environment, a mobile robot intelligent obstacle avoidance algorithm based on an improved fuzzy neural network with self-learning is firstly proposed. …”
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The underlying molecular mechanisms and biomarkers of Hip fracture combined with deep vein thrombosis based on self sequencing bioinformatics analysis by Guanghua Shi, Xiaocui Shi, Meng Zhang, Rui Cheng, Mengqing Hu, Yu Zhao, Shimei Li, Xiuxiu Li, Haiyun Ma, Pengcui Li

“…Feature genes were further refined by intersecting results from three machine learning algorithms and constructing an artificial neural network (ANN). Diagnostic performance was assessed using receiver operating characteristic (ROC) curves. …”
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GPU Acceleration for FHEW/TFHE Bootstrapping by Yu Xiao, Feng-Hao Liu, Yu-Te Ku, Ming-Chien Ho, Chih-Fan Hsu, Ming-Ching Chang, Shih-Hao Hung, Wei-Chao Chen

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General Cultural Competence of a Future Teacher in a Changing World by O. R. Neradovskaya, V. A. Starodubtsev

“…The paper analyzes the content оf the concept of “general cultural competence of a future teacher” and its dialectical development in a changing world under the influence of various factors: the new technological order; the complexity and diversity of various social environments; the risks of environmental, energy and epidemic crises; the emergence of artificial intelligence and learning neural networks; and the large consequences of small (at first glance) events in public life. …”
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Model of differential diagnosis of nervous system lesions in young children by T. S. Krivonogova, O. M. Gerget, V. A. Zhelev, E. V. Golikova, E. V. Mikhalev, E. V. Loshkova, A. L. Solnyshko

“…To create a mathematical model for differential diagnosis of hypoxic-ischemic and traumatic lesions of the nervous system, 12 indicators of neurosonography and 4 indicators of peripheral capillary blood lymphocyte morphology (area and perimeter of the nucleus, area and perimeter of the cell) were taken. A self-learning artificial neural network was used in the construction of the diagnostic model, the operation of which was reproduced using the created software application. …”
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Non-contacted intelligent access control system based on EAIDK310 and OneNET cloud platform by Lou Chenzhe, Xia Kun, Zhang Wenjun, Mo Yingdong

“…This work uses the more mature convolutional neural network in artificial intelligence and the leading edge of Baidu AI open platform for face recognition, gesture recognition and voice interaction in real time, which can maintain a very high recognition accuracy while ensuring a fast enough recognition speed, and the introduction of live detection to avoid unscrupulous elements using photos to cheat the system, making the whole access control system more secure. …”
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A variable metric proximal stochastic gradient method: An application to classification problems by Pasquale Cascarano, Giorgia Franchini, Erich Kobler, Federica Porta, Andrea Sebastiani

“…Extensive numerical experiments verify that the suggested approach performs on par with state-of-the-art methods for training both statistical models for binary classification and artificial neural networks for multi-class image classification. …”
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Two‐Dimensional MoS2‐Based Anisotropic Synaptic Transistor for Neuromorphic Computing by Localized Electron Beam Irradiation by Lei Liu, Peng Gao, Mengru Zhang, Jiadu Dou, Chunsen Liu, Tuo Shi, Hao Huang, Chunlan Wang, Han He, Zijun Chen, Yang Chai, Jianlu Wang, Xuming Zou, Lei Liao, Jingli Wang, Peng Zhou

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Identifying and Diagnosing Lytic Cell Death Genes in Atherosclerosis Using Machine Learning and Bioinformatics by Zhang G, Ma R, Jin H, Zhang Q, Li W, Ding Y

“…Machine learning was used to screen characteristic LCDEGs, and an artificial neural network (ANN) model was developed. …”
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γ neuromodulations: unraveling biomarkers for neurological and psychiatric disorders by Zhong-Peng Dai, Qiang Wen, Ping Wu, Yan-Ni Zhang, Cai-Lian Fang, Meng-Yuan Dai, Hong-Liang Zhou, Huan Wang, Hao Tang, Si-Qi Zhang, Xiao-Kun Li, Jian-Song Ji, Liu-Xi Chu, Zhou-Guang Wang

“…By targeting γ oscillatory patterns and restoring healthy cross-frequency coupling, interventions may alleviate cognitive and behavioral symptoms linked to disrupted communication. This review examines clinical applications of γ neuromodulations, including enhancing cognitive function through 40 Hz multisensory stimulation in Alzheimer’s disease, improving motor function in Parkinson’s disease, controlling seizures in epilepsy, and modulating emotional dysfunctions in depression. …”
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Integrity, Confidentiality, and Equity: Using Inquiry-Based Labs to help students understand AI and Cybersecurity by Richard C. Alexander, Liran Ma, Ze-Li Dou, Zhipeng Cai, Yan Huang

“…Recent advances in Artificial Intelligence (AI) have brought society closer to the long-held dream of creating machines to help with both common and complex tasks and functions. …”
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Influence of proteinoids on calcium carbonate polymorphs precipitation in supersaturated solutions by Panagiotis Mougkogiannis, Andrew Adamatzky

“…We share our findings and results regarding the morphology, composition, stability, and functionality of proteinoid brain structures. We discuss the implications and applications of our work in the fields of bio-inspired computing, artificial neural networks, and origin of life research.…”
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Stochastic Disruption of Synchronization Patterns in Coupled Non-Identical Neurons by Irina A. Bashkirtseva, Lev B. Ryashko, Ivan N. Tsvetkov, Alexander N. Pisarchik

“…Our findings contribute to the understanding of stochastic synchronization phenomena in coupled neuronal systems and offer potential implications for neural dynamics in biological and artificial networks.…”
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Enhancing neurological disease diagnostics: fusion of deep transfer learning with optimization algorithm for acute brain stroke prediction using facial images by Fadwa Alrowais, Mohammed Alqahtani, Jahangir Khan, Achraf Ben Miled, Da’ad Albalawneh, Abdulwhab Alkharashi, Samah Al Zanin, Radwa Marzouk

“…Moreover, the hybrid of convolutional neural network and bidirectional long short-term memory (CNN-BiLSTM) model is employed for the brain stroke classification process. …”
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