Accelerating Ray Tracing-Based Wireless Channels Generation for Real-Time Network Digital Twins by Claudio Modesto, Lucas Mozart, Pedro Batista, Andre Cavalcante, Aldebaro Klautau

“…These methods enable using RT in applications that use a detailed and photorealistic 3D scenario while generating consistent wireless channels over time. …”
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Joined Spatial and Spectral Segmentation of Hyperspectral Datasets on Historical Art Objects by Lingxi Liu, Aurore Malmert, Emeline Pouyet, Silvia Mirri, Giovanni Delnevo

“…This facilitates applying various machine learning algorithms, especially the soft clustering algorithms Fuzzy C-Means clustering (FCM) and Gaussian Mixture Models (GMM), to classify spectra into distinct colourant groups, identifying complex mixtures and areas of degradation. …”
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Enhancing convolutional neural networks in electroencephalogram driver drowsiness detection using human inspired optimizers by Anupam Yadav, Rifat Hussain, Madhu Shukla, Jayaprakash B, Rishiv Kalia, S. Prince Mary, Chou-Yi Hsu, Manoj Kumar Mishra, Kashif Saleem, Mohammed El-Meligy

“…Meanwhile, optimizing DNNs architectures remains a challenge, as training these models is an NP-hard problem. Meta-heuristic algorithms offer an alternative to traditional gradient-based optimizers for improving DNNs performance. …”
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Analysis and quality control of weighing lysimeter water storage data by Steven R. Evett, Paul D. Colaizzi, Gary W. Marek, Karen S. Copeland, Brice B. Ruthardt

“…A tool was developed to analyze 5-minute weighing lysimeter apparent relative water storage data and reduce it to values of the water balance components, including evapotranspiration (ET), dew and frost accumulation, precipitation, irrigation, and drainage while applying quality control measures. Algorithms automatically identify precipitation, and dew and frost accumulations in the 5-minute data, and place flags appropriately (“P” or “DW”) in a column that is referenced by formulae that separately calculate values for these. …”
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An Intelligent Self-Validated Sensor System Using Neural Network Technologies and Fuzzy Logic Under Operating Implementation Conditions by Serhii Vladov, Victoria Vysotska, Valerii Sokurenko, Oleksandr Muzychuk, Lyubomyr Chyrun

“…This article presents an intelligent self-validated sensor system developed for dynamic objects and based on the intelligent sensor concept, which ensures autonomous data collection and real-time analysis while adapting to changing conditions and compensating for errors. …”
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Overhead line path planning based on deep reinforcement learning and geographical information system by Jiahui Chen, Yi Yang, Ling Peng, Lina Yang, Yinhui Han, Xingtong Ge

“…This approach is mainly based on an assumption: the process of overhead line planning is a continuous trial-and-error process, and a relatively reasonable path can eventually be obtained through the continuous optimization of multiple objectives while meeting constraint conditions. Experimental verification of real data shows that compared with existing algorithms, the DSOP method is not only more consistent with the manual line selection effect (improved by more than 3%), but also has a high success rate. …”
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Soil Organic Carbon Prediction and Mapping in Morocco Using PRISMA Hyperspectral Imagery and Meta-Learner Model by Yassine Bouslihim, Abdelkrim Bouasria, Budiman Minasny, Fabio Castaldi, Andree Mentho Nenkam, Ali El Battay, Abdelghani Chehbouni

“…This study presents a novel meta-learner framework that combines multiple machine learning algorithms and spectra processing algorithms to optimize SOC prediction using the PRISMA hyperspectral satellite imagery in the Doukkala plain of Morocco. …”
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HVAngleEst: A Dataset for End-to-end Automated Hallux Valgus Angle Measurement from X-Ray Images by Qiong Wang, Dongdong Ji, Junhu Wang, Liang Liu, Xinquan Yang, Yan Zhang, Jingqi Liang, Peilong Liu, Hongmou Zhao

“…Traditional manual measurement methods, while standardized, are time-consuming, labor-intensive, and subject to evaluator bias. …”
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Mathematical modeling of fastening conditions in piggyback transport: ensuring safety and stability across different transport modes by Ziyoda Mukhamedova, Diyor Boboyev, Shukhrat Saidivaliev, Rustam Abdullaev, Jamshid Kobulov, Sardorbek Akhmedov, Sherzod Fayzibayev

“…This study has employed Newtonian mechanics and the D'Alembert principle to analyse how different forces, such as gravity, inertia, aerodynamic resistance, and centrifugal forces, affect the stability of semi-trailers while in motion. Systematic algorithms and simulation tools, such as MATLAB, were utilised to determine how speed and external factors affected the forces acting on the fasteners and the resulting movement of the cargo. …”
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saLFIA: Semi-automatic Live Feeds Image Annotation Tool for Vehicle Classification Dataset by Umi Chasanah, Gilang Putra, Sahid Bismantoko, Sofwan Hidayat, Tri Widodo, Mohammad Rosyidi

“…The primary contribution of saLFIA is a labeling tool designed to generate new datasets from public source images, focusing on vehicle classification using YOLOv3 and SSD algorithms. The evaluation results indicated that SSD achieved higher accuracy with fewer initial images, while YOLOv3 reached maximum accuracy with larger initial datasets, resulting in 8 misdetections out of 380 objects. …”
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Decoding circRNA translation: challenges and advances in computational method development by Jingjing Zhang, Jingjing Zhang, Rui Zhou, Rui Zhou, Huiling Zhang, Yin Peng, Jintao Meng, Wenhui Xi, Yanjie Wei

“…Subsequently, we provide a systematic introduction to existing circRNA translation analysis tools and their underlying algorithms, with emphasis on benchmarking the performance of sequence-based methods using a unified dataset. …”
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A Review of Robot Fleet Management by Paulo H. C. Morais, Kelen C. T. Vivaldini, Edilson R. R. Kato, Roberto S. Inoue

“…Challenges, such as dynamic interaction management and scalability, were examined, emphasizing the practical validation of algorithms and the integration of heterogeneous fleets. …”
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HuBot: A biomimicking mobile robot for non-disruptive bird behavior study by Lyes Saad Saoud, Loïc Lesobre, Enrico Sorato, Saud Al Qaydi, Yves Hingrat, Lakmal Seneviratne, Irfan Hussain

“…By employing advanced real-time deep-learning algorithms, including YOLOv9 for detection, MobileSAM for segmentation, and vision transformer (ViT) for depth estimation, HuBot semi-autonomously tracks individual birds, providing unprecedented insights into their individual behavior, social interactions, and habitat use. …”
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Machine learning-based prediction of torsional behavior for ultra-high-performance concrete beams with variable cross-sectional shapes by Elhabyb Khaoula, Baina Amine, Bellafkih Mostafa, A. Deifalla, Amr El-Said, Mohamed Salama, Ahmed Awad

“…The best R-squared was 99 % provided by the Gradient Boosting Regressor, while the LSTM and Random Forest showed 98 % and 96 % accuracy. …”
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Personalization of AI-Based Digital Twins to Optimize Adaptation in Industrial Design and Manufacturing—Review by Izabela Rojek, Dariusz Mikołajewski, Ewa Dostatni, Jan Cybulski, Mirosław Kozielski

“…The key findings highlight the growing emphasis on scalable model architectures, multimodal data integration, and the use of high-performance computing platforms. While existing research has focused on model decomposition, structural optimization, and algorithmic integration, there remains a need for fast DT platforms that support diverse user requirements. …”
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Multilabel Classification Using Low-Rank Decomposition by Bo Yang, Kunkun Tong, Xueqing Zhao, Shanmin Pang, Jinguang Chen

“…Extensive experiments validate that the proposed method can achieve comparable to or even better results than other state-of-the-art algorithms.…”
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A Family of Newton and Quasi-Newton Methods for Power Flow Analysis in Bipolar Direct Current Networks with Constant Power Loads by Oscar Danilo Montoya, Juan Diego Pulgarín Rivera, Luis Fernando Grisales-Noreña, Walter Gil-González, Fabio Andrade-Rengifo

“…Numerical results demonstrate that Newton-based methods exhibit quadratic convergence and high accuracy, while quasi-Newton approaches significantly reduce computational time, making them more suitable for large-scale systems. …”
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The Importance of Genetic Testing for Familial Hypercholesterolemia: A Pediatric Pilot Study by Andreea Teodora Constantin, Corina Delia, Lucia Maria Roșu, Ioana Roșca, Ioana Streață, Anca-Lelia Riza, Ioan Gherghina

“…<i>Conclusions:</i> Genetic testing for FH is not always part of screening algorithms for FH. Some studies even advise against it. …”
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Methodology for Enablement of Human Digital Twins for Quality Assurance in the Aerospace Manufacturing Domain by Christopher Lee Colaw, Garrett Madison, Bill Tseng, Grayson Michael Griser, Gage Truelson, Adam Gallo, Yildirim Hurmuzlu

“…Common-place hardware and infrastructure, including cloud-based facility security cameras, cloud-based commercial virtual environments, a virtual reality (VR) headset, and artificial intelligence (AI) detection algorithms, have been connected via application programming interfaces (API) to enable a 24-h surveillance and feedback capability for a representative aerospace manufacturing cell. …”
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Impact of Artificial Intelligence and Virtual Reality on Educational Inclusion: A Systematic Review of Technologies Supporting Students with Disabilities by Angelos Chalkiadakis, Antonia Seremetaki, Athanasia Kanellou, Maria Kallishi, Anastasia Morfopoulou, Marina Moraitaki, Sofia Mastrokoukou

“…Ethical concerns such as privacy and algorithmic bias are cited as key areas that need careful consideration. …”
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