Artificial Intelligence for Automatic Pain Assessment: Research Methods and Perspectives by Marco Cascella, Daniela Schiavo, Arturo Cuomo, Alessandro Ottaiano, Francesco Perri, Renato Patrone, Sara Migliarelli, Elena Giovanna Bignami, Alessandro Vittori, Francesco Cutugno

“…The purpose of this article is to discuss the state of the art of research and perspectives on APA applications in both research and clinical scenarios. Principles of AI functioning will be addressed. For narrative purposes, AI-based methods are grouped into behavioral-based approaches and neurophysiology-based pain detection methods. …”
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Performance optimization of active RIS-assisted near-shore dual-function radar communicaiton system by XU Miao, YUE Dianwu, SUN Yu, WU Xiangkai, YUAN Meng

“…To address the issues of poor communication quality, high demand for radar detection, and scarce scarcity of spectrum resources for maritime users in coastal waters, an offshore dual-function radar communication (DFRC) system assisted by a shipborne active reconfigurable intelligent surface (ARIS) was studied. …”
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Automated Detection and Visualization of Local Kidney Images with Artificial Intelligence Models by Hawraa Saleh, Hadeel Kassim Aljobouri‬, Hani M. Amasha

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Artificial intelligence-driven ensemble deep learning models for smart monitoring of indoor activities in IoT environment for people with disabilities by Munya A. Arasi, Hussah Nasser AlEisa, Amani A. Alneil, Radwa Marzouk

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An EfficientNetv2-based method for coal conveyor belt foreign object detection by Tao Hu, Deyu Zhuang, Jinbo Qiu

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Very-Large-Scale Integration-Friendly Method for Vital Activity Detection with Frequency-Modulated Continuous Wave Radars by Krzysztof Ślot, Piotr Łuczak, Paweł Kapusta, Sławomir Hausman, Arto Rantala, Jacek Flak

“…A simple algorithm for respiratory activity detection in data produced by Frequency-Modulated Continuous-Wave (FMCW) radars is presented in this paper. …”
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Promising methods of prenatal diagnostics based on passive sensors and machine learning by A. A. Ivshin, V. M. Vorobyova, N. A. Malyshev

“…The following keywords in Russian and English were used for selection: "modern methods of prenatal diagnostics", "fetal monitoring", "assessment of fetus functional state", "passive sensors", "artificial intelligence", "machine learning". …”
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Enhancing Early Detection of Diabetic Retinopathy Through the Integration of Deep Learning Models and Explainable Artificial Intelligence by Kazi Ahnaf Alavee, Mehedi Hasan, Abu Hasnayen Zillanee, Moin Mostakim, Jia Uddin, Eduardo Silva Alvarado, Isabel de la Torre Diez, Imran Ashraf, Md Abdus Samad

“…Through exploration of these advances, our objective is to provide a comprehensive overview of the leading methods for the early detection of DR. The aim is to discuss the challenges associated with these methods and highlight potential enhancements. …”
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Evolutionary Artificial Intelligence Algorithm for Optimizing Step Phase Detection Based on Foot-Mounted Triaxial Accelerometer Data by P. A. Khmarskiy

“…Details are provided regarding the formation and evolution of the parameter population, design of the objective function, and drift compensation methods utilized during acceleration integration. …”
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Artificial intelligence powered crime scene analysis service by Vanita Kshirsagar, Nishant Pachpor, Shubhangi Suryawanshi, Tanvi Chavan, Navya J. Nair, Purvesh Agrawal, Tejas Shahane

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SEGMENTATION OF ELECTRONIC PLANOGRAMS BY MEANS OF ARTIFICIAL INTELLIGENCE by V.V. Mikhailishin

“…Computer plantography is one of the methods of diagnosing the condition of the feet. During the calculation of clinical and functional parameters during the study, one of the stages is to identify points lying on the border of the foot's contact zone with the support surface. …”

A Panoramic Review on Cutting-Edge Methods for Video Anomaly Localization by Rashmiranjan Nayak, Sambit Kumar Mishra, Asish Kumar Dalai, Umesh Chandra Pati, Santos Kumar Das

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Active Obstacle Avoidance of Multi-Rotor UAV Swarm Based on Stress Matrix Formation Method by Zhenyue Qiu, Lei Zhang, Yuan Chi, Zequn Li

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Artificial intelligence analysis in cyber domain: A review by Liguo Zhao, Derong Zhu, Wasswa Shafik, S Mojtaba Matinkhah, Zubair Ahmad, Lule Sharif, Alisa Craig

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Mobile malware detection method using improved GhostNetV2 with image enhancement technique by Yao Du, CaiXia Gao, Xi Chen, MengTian Cui, LiLi Xu, AoJi Ning

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Faster-PPENet: Advancing Logistic Intelligence for PPE Recognition at Construction Sites by Jasim Alnahas

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Artificial intelligence and radiomics applications in adrenal lesions: a systematic review by Matteo Ferro, Octavian Sabin Tataru, Giuseppe Carrieri, Gian Maria Busetto, Ugo Giovanni Falagario, Martina Maggi, Felice Crocetto, Biagio Barone, Francesco Del Giudice, Michele Marchioni, Daniela Terracciano, Giuseppe Lucarelli, Pasquale Ditonno, Raul Gherasim, Ciprian Todea-Moga, Giuseppe Fallara, Marco Tozzi, Antonio Cioffi, Roberto Bianchi, Alessio Digiacomo, Alessandro Veccia, Alessandro Antonelli, Maria Chiara Sighinolfi, Luigi Schips, Bernardo Rocco

“…Background: Adrenal lesions, often incidentally detected, present diagnostic challenges in distinguishing benign from malignant or hormonally active lesions. …”
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Vision transformers for automated detection of pig interactions in groups by Gbadegesin Taiwo, Sunil Vadera, Ali Alameer

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A road lane detection approach based on reformer model by Dan Li, Zan Yang, Wei Nai, Yidan Xing, Ziyu Chen

“…At present, road lane detection methods based on Transformer model are currently considered to be most effective and accurate; however, Transformer model-based road lane detection methods still have their own drawbacks, like high computational complexity of attention mechanisms and defects in activation function and loss functions. …”
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An islanding detection method for grid-connect inverter based on parameter optimized variational mode decomposition and deep learning by Yan Xia, Yan Xia, Yuli Lv, Feihong Yu, Yiqiang Yang, Yili Yang, Wei Li, Ke Li

“…To address the drawbacks of active methods and passive methods, an intelligent islanding detection strategy based on parameter-optimized variational mode decomposition (VMD) and deep learning was developed. …”
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