A Fault Analysis Method for Three-Phase Induction Motors Based on Spiking Neural P Systems by Zhu Huang, Tao Wang, Wei Liu, Luis Valencia-Cabrera, Mario J. Pérez-Jiménez, Pengpeng Li

“…Moreover, to realize the parallel data computing and information reasoning in the fault prediction and diagnosis process, three reasoning algorithms for the rMFRSNPS are proposed: the pulse value reasoning algorithm, the forward fault prediction reasoning algorithm, and the backward abductive fault diagnosis reasoning algorithm. …”
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Analyzing Diagnostic Reasoning of Vision–Language Models via Zero-Shot Chain-of-Thought Prompting in Medical Visual Question Answering by Fatema Tuj Johora Faria, Laith H. Baniata, Ahyoung Choi, Sangwoo Kang

“…Medical Visual Question Answering (MedVQA) lies at the intersection of computer vision, natural language processing, and clinical decision-making, aiming to generate accurate responses from medical images paired with complex inquiries. …”
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Machine Learning-Based Modelling and Predictive Maintenance of Turning Operation under Cooling/Lubrication for Manufacturing Systems by Gurpreet Singh, Jothi Prabha Appadurai, Varatharaju Perumal, K. Kavita, T. Ch Anil Kumar, DVSSSV Prasad, A. Azhagu Jaisudhan Pazhani, K. Umamaheswari

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Secure Biometric Identification Using Orca Predators Algorithm With Deep Learning: Retinal Iris Image Analysis by Louai A. Maghrabi, Mohammed Altwijri, Sami Saeed Binyamin, Fouad Shoie Alallah, Diaa Hamed, Mahmoud Ragab

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All‐Electric Mimicking of Synaptic Plasticity Based on the Noncollinear Antiferromagnetic Device by Cuimei Cao, Wei Duan, Xiaoyu Feng, Yan Xu, Yihan Wang, Zhenzhong Yang, Qingfeng Zhan, Long You

“…Abstract Neuromorphic computing, which seeks to replicate the brain's ability to process information, has garnered significant attention due to its potential to achieve brain‐like computing efficiency and human cognitive intelligence. …”
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Optimizing software crowdsourcing requirements design through machine learning by Turki Alelyani

“…Abstract Crowdsourcing, a distributed computing model on the internet, has opened new avenues for software development. …”
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Applications of Artificial Intelligence Techniques to Enhance Sustainability of Industry 4.0: Design of an Artificial Neural Network Model as Dynamic Behavior Optimizer of Robotic... by Aydin Azizi

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Unraveling the neural dynamics of mathematical interference in english reading: A novel approach with deep learning and fNIRS data by Zhijie Liang, Ling Wang, Jianyu Su, Bo Sun, Daifa Wang, Juan Yang

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The Exploration of Student Emotion Experience and Learning Experience in E-learning Platform by Fitra Abdurrachman Bachtiar, Riza Setiawan Soetedjo, Joseph Ananda Sugihdarma, Retno Indah Rokhmawati, Lailil Muflikhah

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Enhanced Multigrained Scanning-Based Deep Stacking Network for Intrusion Detection in IoMT Networks by Pakarat Musikawan, Yanika Kongsorot, Phet Aimtongkham, Chakchai So-In

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Unlocking financial innovation through strategic investments in information management: a systematic review by Askar Garad, Hosam Alden Riyadh, Abdullah M. Al-Ansi, Baligh Ali Hasan Beshr

“…By examining the integration of advanced technologies such as Artificial Intelligence (AI), Machine Learning (ML), Blockchain, Big Data Analytics, Cloud Computing, Large Language Models (LLMs), Robotic Process Automation (RPA), Internet of Things (IoT), Cybersecurity Technologies, and Quantum Computing, this research aims to highlight how these technologies enhance decision-making, operational effectiveness, risk management, and compliance within the financial sector. …”
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Research on identification method of bituminous coal based on terahertz time-domain spectroscopy by Shuguang Miao, Shuguang Miao, Xiang Liu, Xiang Liu, Yue Zhang, Yue Zhang, SuWen Li, SuWen Li, Enjie Ding, Enjie Ding

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Application and realization of key technologies in China railway e-ticketing system by Xinghua Shan, Zhiqiang Zhang, Fei Ning, Shida Li, Linlin Dai

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An efficient trustworthy cyberattack defence mechanism system for self guided federated learning framework using attention induced deep convolution neural networks by Louai A. Maghrabi, Alanoud Subahi, Nouf Atiahallah Alghanmi, Turki Althaqafi, Nahla J. Abid, Nasser N. Albogami, Mahmoud Ragab

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HPC-DMN integration at neural event boundary affects across-boundary BOLD representations and memory recollection by Qiuyi Liu, Siyang Li, Lili Sun, Zhipeng Li, Peng Ren, Wencai Ding, Hongbo Bao, Xia Liang

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Design and assessment of AI-based learning tools in higher education: a systematic review by Jihao Luo, Chenxu Zheng, Jiamin Yin, Hock Hai Teo

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Robotic irrigation complex for crop cultivation in irrigated areas by M. G. Zagoruiko, D.  A. Soloviev, N. F. Ryzhko, S. N. Ryzhko

“…(Materials and methods) The paper evaluates the signifi cance of developing a design that can optimize the process of crop cultivation and details the applications and databases integrated within the central computing center. …”
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New hybrid features extracted from US images for breast cancer classification by Gigi Tăbăcaru, Simona Moldovanu, Dan Munteanu, Marian Barbu

“…Abstract Artificial intelligence (AI), and image processing fields play a vital role in classifying benign and malignant breast cancer (BC). …”
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Application of the ABC Algorithm in Parameter Estimation and Kinetic Model Selection in Propionic Fermentation by Waldecleia Queiroz Da Costa, Miguel Fernando Saraiva Maia, Nilton Pereira Da Silva, Deibson Silva Da Costa, Emerson Cardoso Rodrigues, Diego Cardoso Estumano

“…A propionic acid fermentation process not only provides a more sustainable approach but also opens the door to propionic acid production capacity in regions with limited petroleum supplies. …”
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基于DSP的风力发电机齿轮箱故障诊断系统的研究与应用 by 史霞飞, 潘宏侠, 何强

“…Wind turbine gearbox is the most failure frequency component of the wind turbine.For the non-smooth characteristics of the most gearbox vibration signals,a wind turbine gearbox fault diagnosis system is designed,which takes DSP TMS320F28335 as its core processor and can run independently without master computer.The hardware platform of system is built with various peripheral module of TMS320F28335,including the data acquisition of analog,frequency and digital signal acquisition and the communication function of ethernet and CAN bus.The acquired data is processed by EMD algorithm which decompose the vibration signal into IMF components,and then,with the Hilbert transform,and an accurate signal Hilbert marginal spectra is obtained.According to the Hilbert marginal spectra,the potential failure information is got.Tests show that,the system can effectively diagnose the fault of gearbox.…”
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