AUTOMATED CUTTING TOOLS SELECTION FOR BEARINGS COMPONENTS TURNING PROCESS by DAN GEORGE PRUTICA, GHEORGHE BRABIE, BOGDAN CHIRITA

Subjects: “…automated cutting tools selection…”
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Cross-Modal Augmented Transformer for Automated Medical Report Generation by Yuhao Tang, Ye Yuan, Fei Tao, Minghao Tang

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Cyberattack Monitoring Architectures for Resilient Operation of Connected and Automated Vehicles by Zulqarnain H. Khattak, Brian L. Smith, Michael D. Fontaine

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Humans in automated decision-making under the GDPR and AI Act by Anna Levitina

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Mamba vision models: Automated American sign language recognition by Ali Salem Altaher, Chiron Bang, Bader Alsharif, Ahmed Altaher, Munid Alanazi, Hasan Altaher, Hanqi Zhuang

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Efficiency and safety of automated label cleaning on multimodal retinal images by Tian Lin, Meng Wang, Aidi Lin, Xiaoting Mai, Huiyu Liang, Yih-Chung Tham, Haoyu Chen

“…This study assessed the effectiveness and potential risks of automated label cleaning using an open-source framework, Cleanlab, in multi-category datasets of fundus photography and optical coherence tomography, with intentionally introduced label noise ranging from 0 to 70%. …”
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Smart Cognitive HMI With Automated Knowledge Extraction for Machine Tool by Jongsu Park, Jinho Son, Seongwoo Cho, Jumyung Um

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Practical skills of psychology bachelors in working with automated HR platforms by P. Bleshmudt, O. Fil

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RETRACTED: Automated method for assessing the degree of intellectualization in the “Smart City” by Garyaeva Venera, Ahmad El-Maved, Garyaev Andrei

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The Improvement of Automated Crack Segmentation on Concrete Pavement with Graph Network by Jiang Chen, Ye Yuan, Hong Lang, Shuo Ding, Jian John Lu

“…Crack is a common concrete pavement distress that will deteriorate into severe problems without timely repair, which means the automated detection of pavement crack is essential for pavement maintenance. …”
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Automated Zebrafish Spine Scoring System Based on Instance Segmentation by Wen-Hsin Chen, Tien-Ying Kuo, Yu-Jen Wei, Cheng-Jung Ho, Ming-der Lin, Huan Chen, Wen-Ying Lin

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IoT-based automated system for water-related disease prediction by Bhushankumar Nemade, Kiran Kishor Maharana, Vikram Kulkarni, Surajit mondal, G S Pradeep Ghantasala, Amal Al-Rasheed, Masresha Getahun, Ben Othman Soufiene

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Comparison of analytical sensitivity of automated microbiological blood culture systems by Lyamin A.V., Ismatullin D.D., Kozlov A.V., Alekseev D.V., Kayumov K.A., Bochkareva P.V., Antipov V.A.

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Novel Human-Centered Robotics: Towards an Automated Process for Neurorehabilitation by Meenakshi Devi Parre, B. Sujatha

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Automated Generation of Custom Processor Core from C Code by Jelena Trajkovic, Samar Abdi, Gabriela Nicolescu, Daniel D. Gajski

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Automated Windows domain penetration method based on reinforcement learning by Lige ZHAN, Letian SHA, Fu XIAO, Jiankuo DONG, Pinchang ZHANG

“…Windows domain provides a unified system service for resource sharing and information interaction among users.However, this also introduces significant security risks while facilitating intranet management.In recent years, intranet attacks targeting domain controllers have become increasingly prevalent, necessitating automated penetration testing to detect vulnerabilities and ensure the ongoing maintenance of office network operations.Then efficient identification of attack paths within the domain environment is crucial.The penetration process was first modeled using reinforcement learning, and attack paths were then discovered and verified through the interaction of the model with the domain environment.Furthermore, unnecessary states in the reinforcement learning model were trimmed based on the contribution differences of hosts to the penetration process, aiming to optimize the path selection strategy and improve the actual attack efficiency.The Q-learning algorithms with solution space refinement and exploration policy optimization were utilized to filter the optimal attack path.By employing this method, all security threats in the domain can be automatically verified, providing a valuable protection basis for domain administrators.Experiments were conducted on typical Windows domain scenarios, and the results show that the optimal path is selected from the thirteen efficient paths generated by the proposed method, while also providing better performance optimization in terms of domain controller intrusion, domain host intrusion, attack steps, convergence, and time cost compared to other approaches.…”
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Automated Diagnosis of Coronary Artery Disease: A Review and Workflow by Qurat-ul-ain Mastoi, Teh Ying Wah, Ram Gopal Raj, Uzair Iqbal

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An Adaboost-Backpropagation Neural Network for Automated Image Sentiment Classification by Jianfang Cao, Junjie Chen, Haifang Li

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Advanced sensors network in a centralized IoT system using low-cost microcontrollers and automatic configuration by Andrei-Mihai VĂDAN, Liviu-Cristian MICLEA

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IoT-Based Library Automation & Monitoring system: Developing an Implementation framework by Majid Bayani, Alberto Segura, Marjorie Alvarado, Mayra Loaiza

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