Mathematical modelling and optimization of cutting conditions in turning operation on MDN 350 steel with carbide inserts by Syed Adil, A. Krishnaiah, D. Srinivas Rao

“…The machining performance indicators of the first set are optimized using graphical method of contour plots. Artificial neural networks technique, which is well known for its versatility to model linear as well as non-linear data, is used to express the surface roughness as a function of tool geometrical variables. …”
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A Fog Computing-Based Cost-Effective Smart Health Monitoring Device for Infectious Disease Applications by Saranya Govindakumar, Vijayalakshmi Sankaran, Paramasivam Alagumariappan, Bhaskar Kosuru Bojji Raju, Daniel Ford

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GAN-enhanced deep learning for improved Alzheimer's disease classification and longitudinal brain change analysis by Purushottam Pandey, Surbhi Bhatia Khan, Surbhi Bhatia Khan, Surbhi Bhatia Khan, Jyoti Pruthi, Eid Albalawi, Ali Algarni, Ahlam Almusharraf

“…Alzheimer's disease (AD) is commonly defined by a progressive decline in cognitive functions and memory. Early detection is crucial to mitigate the devastating impacts of AD, which can significantly impair a person's quality of life. …”
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ResGRU: A Novel Hybrid Deep Learning Model for Compound Fault Diagnosis in Photovoltaic Arrays Considering Dust Impact by Xi Liu, Hui Hwang Goh, Haonan Xie, Tingting He, Weng Kean Yew, Dongdong Zhang, Wei Dai, Tonni Agustiono Kurniawan

“…Experimental findings indicate that the suggested model achieves 99.94% accuracy on pristine data and 98.21% accuracy on noisy data, markedly surpassing established techniques such as artificial neural networks (ANN), ResNet, random forests (RF), multi-scale SE-ResNet, and other ResNet-based approaches. …”
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Enhancing Postural Monitoring in Wheelchair Users Through Context Classification by Nerea Perez, Aitziber Mancisidor, Itziar Cabanes, Patrick Vermander

“…These models have been developed using machine learning techniques, such as K-Nearest Neighbors (KNN), Artificial Neural Networks (ANN) and Support Vector Machines (SVM). …”
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Modeling turning performance of Inconel 718 with hybrid nanofluid under MQL using ANN and ANFIS by Paresh Kulkarni, Satish Chinchanikar

“…This study develops artificial neural networks (ANN) and adaptive neuro-fuzzy inference system (ANFIS) models to predict cutting force, surface roughness, and tool life during Inconel 718 turning with a hybrid nanofluid under minimum quantity lubrication. …”
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Performance Investigation of Coated Carbide Tools in Milling Procedures by Paschalis Charalampous

“…Based on this dataset, artificial intelligence (AI) models, including artificial neural network (ANN), k-nearest neighbors (KNN), and support vector regression (SVR), were developed in order to predict the tool’s life as a function of the milling conditions. …”
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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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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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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

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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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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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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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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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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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A Domain-Specific Pretrained Model for Detecting Malignant and Premalignant Ocular Surface Tumors: A Multicenter Model Development and Evaluation Study by Zhongwen Li, Yangyang Wang, Wei Qiang, Xuefang Wu, Yanyan Zhang, Yiyuan Gu, Kuan Chen, Donghua Qi, Liheng Xiu, Yunduan Sun, Daoyuan Li, Yahui Xi, Shiqi Yin, Feng Wen, Mingmin Zhu, Yi Shao, Jiewei Jiang, Wei Chen, Guohai Wu

“…However, training traditional convolutional neural networks (CNNs) for this task presents challenges due to the lack of large, well-annotated datasets containing OST images labeled according to histopathological results. …”
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