Explainable artificial intelligence for sustainable urban water systems engineering by Shofia Saghya Infant, Sundaram Vickram, A Saravanan, C M Mathan Muthu, Devarajan Yuarajan

“…This highlights the promise of XAI as a tool to improve sustainable practices in water management by providing a link between highly complex algorithms and watertight management decisions that are easier to implement.…”
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Optimizing Immunotherapy: The Synergy of Immune Checkpoint Inhibitors with Artificial Intelligence in Melanoma Treatment by Mohammad Saleem, Abigail E. Watson, Aisha Anwaar, Ahmad Omar Jasser, Nabiha Yusuf

“…A machine learning-based approach was able to assess the risk-benefit ratio for the prediction of immune-related adverse events (irAEs) using the electronic health record (EHR) data. Deep learning algorithms demonstrated high accuracy in tumor microenvironment analysis, including tumor region identification and lymphocyte detection. …”
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Small Sample Fiber Full State Diagnosis Based on Fuzzy Clustering and Improved ResNet Network by Xiangqun Li, Jiawen Liang, Jinyu Zhu, Shengping Shi, Fangyu Ding, Jianpeng Sun, Bo Liu

“…Through on-site data detection and validation, it has been demonstrated that the improved ResNet can effectively identify the full cycle of fiber states.…”
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GUIDELINES ON ARTERIAL HYPERTENSION MANAGEMENT OF THE EUROPEAN SOCIETY OF CARDIOLOGY AND EUROPEAN SOCIETY OF HYPERTENSION 2018: WHAT’S NEW? by A. A. Klimenko, D. A. Anichkov, N. A. Demidova

“…The guidelines widen the possibilities for ambulatory monitoring of blood pressure (BP) and at-home measurement of BP in diagnosis of AH, especially for detection of hidden (“masked”) hypertension and white-coat hypertension. …”
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Reassortment Dynamics: Phylogeography and Evolution of H4N9 Influenza Viruses by Nataliia A. Bobrova, Ekaterina D. Lisenenkova, Ekaterina S. Avsievich, Olga N. Mityaeva, Pavel Yu Volchkov, Andrey A. Deviatkin

“…Several computational approaches, including phylogenetic reconstructions and reassortment detection algorithms (PDDM and PDCP), were used to identify phylogenetic incongruences. …”
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Machine learning-based prediction of diabetic peripheral neuropathy: model development and clinical validation by Meng Sun, Xingling Sun, Fei Wang, Li Liu

“…Feature selection was performed using both Boruta and LASSO algorithms, and the intersection of the selected variables was used as the final predictor set. …”
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Automatic Analysis of Ultrasound Images to Estimate Subcutaneous and Visceral Fat and Muscle Tissue in Patients with Suspected Malnutrition by Antonio Cuesta-Vargas, José María Arjona-Caballero, Gabriel Olveira, Daniel de Luis Román, Diego Bellido-Guerrero, Jose Manuel García-Almeida

“…<b data-eusoft-scrollable-element="1">Conclusions:</b> These findings highlight the system’s potential for clinical use while emphasizing the need for further algorithmic refinements to improve precision in area calculations.…”
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Intelligent Troubleshooting of Vertical Bandsaws, Leveraging Ensemble Learning on Low-Level Data by Wisal Muhammad, Haseeb Khan, Tariq Kamal, Dahoon Ahn, Ki-Yong Oh

“…The study is important as it gives a complete framework for the bandsaw machines&#x2019; operation from fault detection to fault localization and actionable process.…”
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Innovative Expert-Based Tools for Spatiotemporal Shallow Landslides Mapping: Field Validation of the GOGIRA System and Ex-MAD Framework in Western Greece by Michele Licata, Francesco Seitone, Efthimios Karymbalis, Konstantinos Tsanakas, Giandomenico Fubelli

“…GOGIRA is a low-cost system for efficient georeferenced data collection, while ExMAD uses AI and multitemporal Sentinel-2 imagery to detect landslide triggering times. Upgrades to GOGIRA’s hardware and algorithms were carried out to improve its mapping accuracy. …”
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Fiber Sensing in the 6G Era: Vision Transformers for <i>ϕ</i>-OTDR-Based Road-Traffic Monitoring by Robson A. Colares, Leticia Rittner, Evandro Conforti, Darli A. A. Mello

“…Backscattered traces are consolidated into space–time matrices, illustrating traffic patterns and enabling analysis through image processing algorithms. The ground truth is established by traffic parameters obtained by processing video camera images monitoring the same street using the YOLOv8 model. …”
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UAV With the Ability to Control with Sign Language and Hand by Image Processing by Hediyeh Hojaji, Alireza Delisnav, Mohammad Hossein Ghafouri Moghaddam, Fariba Ghorbani, Shadi Shafaghi, Masoud Shafaghi

“…This setup enabled precise hand and body detection, allowing the drone to navigate and interact effectively. …”
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Small Target Ewe Behavior Recognition Based on ELFN-YOLO by Jianglin Wu, Shufeng Li, Baoqin Wen, Jing Nie, Na Liu, Honglei Cen, Jingbin Li, Shuangyin Liu

“…The obtained results indicate that the proposed approach outperforms existing methods in scenarios involving multi-scale detection of small objects. The proposed method is of significant importance for strengthening animal welfare and ewe management, and it provides valuable data support for subsequent tracking algorithms to monitor the activity status of ewes.…”
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Cybersecurity and Major Cyber Threats of Smart Meters: A Systematic Mapping Review by Jones Márcio Nambundo, Otávio de Souza Martins Gomes, Adler Diniz de Souza, Raphael Carlos Santos Machado

“…These gaps include design requirements, software and firmware updates, physical security, the use of big data to detect vulnerabilities, user data privacy, and inconsistencies in machine learning algorithms. …”
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Monte Carlo simulation and performance assessment of GE Discovery 690 VCT positron emission tomography/computed tomography scanner by Elham Kashian, Hadi Ahangari, Vahab Dehlaghi, Karim Khoshgard, Pardis Ghafarian, Raheb Ghorbani

“…The simulated model of this scanner can be used for future studies regarding optimization of image reconstruction algorithms and emission acquisition protocols.…”
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DoubleNet: A Method for Generating Navigation Lines of Unstructured Soil Roads in a Vineyard Based on CNN and Transformer by Xuezhi Cui, Licheng Zhu, Bo Zhao, Ruixue Wang, Zhenhao Han, Kunlei Lu, Xuguang Feng, Jipeng Ni, Xiaoyi Cui

“…As a result of these innovations, DoubleNet achieves a remarkable 95.75% percentage of correct key points (PCK) and operates at 71.16 FPS on our dataset, with a combined performance that outperformed several well-known key point detection algorithms. DoubleNet demonstrates strong potential as a competitive solution for generating effective navigation routes for robots operating in vineyards with unstructured roads.…”
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An In-Depth Tutorial on BJTU-RAO Bogie Datasets for Fault Diagnosis by Yong Qin, Yiran Wang, Zhaojun Steven Li, Biao Wang, Ao Ding, Chengcheng Wang, Yuanjing Qin, Yang Wang

“…The datasets are collected, organized, and made publicly available by the research team from the State Key Lab of Advanced Rail Autonomous Operation at BJTU, aiming to encourage scholars and engineers to investigate and validate their fault detection or diagnosis algorithms for key components of train transmission systems, such as driving gearboxes, axle boxes, and traction motors.…”
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Wave propagation-based tests for concrete piles – an overview by Reham Samaan, Abdelsalaam Mokhtar, Mohamed Saafan, Ahmed Ebid

“…Recent advances have improved the accuracy of flaw detection, enabling real-time monitoring of foundations. …”
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Peculiarities of acoustic diagnostic methods in pediatric practice (literature review, own research) by Yu.V. Marushko, O.V. Khomych

“…The use of acoustic methods in pediatrics opens up new opportunities for early detection and monitoring of diseases of the respiratory system. …”
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Stabilization of diastolic calcium signal via calcium pump regulation of complex local calcium releases and transient decay in a computational model of cardiac pacemaker cell with... by Alexander V Maltsev, Victor A Maltsev, Michael D Stern

“…Here we developed new terminology, classification, and computer algorithms for automatic detection of numerically simulated LCRs and examined LCR regulation by SR Ca pumping rate (Pup) that provides a major contribution to fight-or-flight response. …”
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Telemedicine Screening for Diabetic Retinopathy Using Digital Technology: Foreign Experience by D. A. Andreev, N. N. Kamynina

“…Background. Timely detection and treatment of diabetic retinopathy (DR) could prevent the development of blindness. …”
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