Flexible touch and gesture recognition system for curved surfaces with machine learning for assistive applications by Gitansh Verma, Shrutidhara Sarma, Eugen Koch, Andreas Dietzel

“…Evaluation electronics were integrated to ensure stable, noise-free signal acquisition, and output was processed with machine learning (ML) algorithms to classify gestures such as single and double finger taps, swipes, and touch locations, with 93 % accuracy, on both flat and curved surfaces. …”
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Parametric Study and Experimental Validation of Acoustic Leaky Wave Antenna in Spatial Localization by Alejandro Fernandez-Garrido, Maria Campo-Valera, Elena Abdo-Sanchez, Ruben Pico, Antonio-Javier Garcia-Sanchez, Rafael Asorey-Cacheda

“…Traditional methods often rely on arrays of transducers, which necessitate the use of expensive hardware and processing algorithms. An emerging alternative is the Acoustic Leaky Wave Antenna (ALWA), which is inspired by electromagnetic leaky wave antennas. …”
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Hormonal Implications of SARS-CoV-2: A Review of Endocrine Disruptions by Aliya Yskak, Yevgeniy Sokharev, Kuanysh Zhumalynov, Elizaveta Koneva, Natalia Afanasyeva, Dmitri Borodulin, Dmitrii Babaskin, Almabek Nugmanov, Murat Nurushev, Vadim Chashkov

“…To improve medical care and rehabilitation algorithms for patients affected by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), it is important to evaluate and summarize the available data on the effect of coronavirus infection (COVID-19) on the endocrine system. …”
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Prepartum Vaccination Against Neonatal Calf Diarrhea and Its Effect on Mammary Health and Milk Yield of Dairy Cows: A Retrospective Study Addressing Non-Specific Effects of Vaccina... by Caroline Kuhn, Holm Zerbe, Hans-Joachim Schuberth, Anke Römer, Debby Kraatz-van Egmond, Claudia Wesenauer, Martina Resch, Alexander Stoll, Yury Zablotski

“…In this retrospective study, data from 73,378 dairy cows on 20 farms in Germany were analyzed, using linear mixed-effects regression, quantile regression, and decision-tree-algorithms, to investigate the effects of prepartum vaccination on mammary health and milk yield by comparing non-vaccinated and vaccinated transition periods. …”
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Asynchronous Realization of Algebraic Integer-Based 2D DCT Using Achronix Speedster SPD60 FPGA by Nilanka Rajapaksha, Amila Edirisuriya, Arjuna Madanayake, Renato J. Cintra, Dennis Onen, Ihab Amer, Vassil S. Dimitrov

“…Recently proposed algebraic-integer-(AI-) based discrete cosine transform (DCT) algorithms are analyzed in the presence of quantization, using the High Efficiency Video Coding (HEVC) standard. …”
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Automated Long-Term Monitoring of Parallel Microfluidic Operations Applying a Machine Vision-Assisted Positioning Method by Hon Ming Yip, John C. S. Li, Kai Xie, Xin Cui, Agrim Prasad, Qiannan Gao, Chi Chiu Leung, Raymond H. W. Lam

“…We also develop image processing algorithms to recognize the chamber positions in real-time, followed by realigning the chambers to their preset positions in the captured images. …”
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Dataset of polarimetric images of mechanically generated water surface waves coupled with surface elevation records by wave gauges linear arrayScienceDB by Noam Ginio, Michael Lindenbaum, Barak Fishbain, Dan Liberzon

“…To address these challenges a novel method was developed, using polarization filter equipped camera as the main sensor and Machine Learning (ML) algorithms for data processing [1,2]. The developed method training and evaluation was based on in-house made supervised dataset. …”
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Validation of Housekeeping Genes to Study Human Gingival Stem Cells and Their In Vitro Osteogenic Differentiation Using Real-Time RT-qPCR by Ihsène Taïhi, Ali Nassif, Tsouria Berbar, Juliane Isaac, Ariane Berdal, Bruno Gogly, Benjamin Philippe Fournier

“…The analysis was performed with ten selected HKGs using four algorithms: ΔCt comparative method, GeNorm, BestKeeper, and NormFinder. …”
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Consensus on Severity for Ocular Emergency: The BAsic SEverity Score for Common OculaR Emergencies [BaSe SCOrE] by Jean-Louis Bourges, Isabelle Boutron, Dominique Monnet, Antoine P. Brézin

“…These ratings could be used to assess the severity of ocular emergency events, to serve in composite algorithms for emergency triage and standardizing research in ocular emergencies.…”
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Fuzzy Filtering Method for Color Videos Corrupted by Additive Noise by Volodymyr I. Ponomaryov, Hector Montenegro-Monroy, Luis Nino-de-Rivera, Heydy Castillejos

“…In contrast to other state-of-the-art algorithms, during the first spatial step, the eight gradient values in different directions for pixels located in the vicinity of a central pixel as well as the R, G, and B channel correlation between the analogous pixels in different color bands are taken into account. …”
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Successful Surgical Treatment of “Complex” Abdominal Echinococcosis by A. B. Goncharov, Yu. A. Stepanova, V. S. Shirokov, I. A. Turchenko, Yu. A. Kovalenko, D. V. Kalinin, B. N. Gurmikov, A. V. Zhao

“…Due to the peculiarities of the course of helminthiasis and the pronounced variability of the lesion, it is extremely difficult to develop universal and effective treatment algorithms. The presented clinical observation demonstrates an example of the successful use of special surgical tactics for the treatment of “complex” echinococcosis of the abdominal cavity with good long-term follow-up results.…”
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Following intravenous thrombolysis, the outcome of diabetes mellitus associated with acute ischemic stroke was predicted via machine learning by Xiaoqing Liu, Miaoran Wang, Rui Wen, Haoyue Zhu, Ying Xiao, Qian He, Yangdi Shi, Zhe Hong, Bing Xu

“…The findings underscore the effectiveness of machine learning algorithms, particularly XGB, in predicting functional outcomes in diabetic AIS patients, providing clinicians with a valuable tool for treatment planning and improving patient outcome predictions based on receiver operating characteristic (ROC) analysis and accuracy assessments.…”
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Eliciting Emotions: Investigating the Use of Generative AI and Facial Muscle Activation in Children’s Emotional Recognition by Manuel A. Solis-Arrazola, Raul E. Sanchez-Yanez, Ana M. S. Gonzalez-Acosta, Carlos H. Garcia-Capulin, Horacio Rostro-Gonzalez

“…This approach offers new avenues for training and validating AI algorithms, enabling models to be trained with artificial and real-world data interchangeably. …”
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Comparison of different models for energy management strategy design of a parallel hybrid electric vehicle: Impact of the rotating masses by Abdoulaye Pam, Alain Bouscayrol, Philippe Fiani, Fabien Faval

“…Abstract Simulation is a key step during the development of energy management strategies (EMSs) for hybrid electric vehicles (HEVs). Moreover, optimal algorithms such as dynamic programming (DP) are used off‐line to define a benchmark for real‐time EMSs. …”
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Detectability of Liver Steatosis and Fibrosis with Transient Elastography and Controlled Attenuation Parameter in Residents of St. Petersburg by V. P. Kovyazina, K. L. Raikhelson, M. K. Prashnova, E. V. Pazenko, L. K. Palgova, E. A. Kondrashina

“…Petersburg warrants improved diagnostic algorithms and routine preventive measures. Transient elastography with the controlled attenuation parameter estimation provides a convenient non-invasive screening for hepatic fibrosis and steatosis.…”
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freeQuant: A Mass Spectrometry Label-Free Quantification Software Tool for Complex Proteome Analysis by Ning Deng, Zhenye Li, Chao Pan, Huilong Duan

“…The evaluation showed that the quantitative algorithms implemented in freeQuant can improve accuracy of quantification with better dynamic range.…”
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Exploring the role of Energy Communities: A Comprehensive Review by M. Asim Amin, Renato Procopio, Marco Invernizzi, Andrea Bonfiglio, Youwei Jia

“…The present review aimed to investigate and examine the significance of EC structures and to start an inclusive foundation for the broader implementation of EC for energy decentralization to figure out the research gaps and ensure that Machine Learning (ML) based solutions are essential tools to study and further discussed the several ML-based algorithms based on their objectives. Moreover, a comprehensive literature review is conducted to compare the possible strategies and tools that could be implemented in EC. …”
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Machine Learning-Based Detection of Anomalies, Intrusions, and Threats in Industrial Control Systems by Denis Benka, Dusan Horvath, Lukas Spendla, Gabriel Gaspar, Maximilian Stremy

“…This paper proposes a machine learning (ML)-based approach to anomaly detection in ICS communication networks, focusing on techniques such as 1D Convolutional Neural Networks (CNNs), Long Short-Term Memory (LSTM) networks, Support Vector Machines (SVMs), and Isolation Forest (iForest) algorithms. We generated a dataset by capturing both normal and manipulated ICS communication patterns, including TCP/IP traffic. …”
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Systematic Literature Review Methodology for Drone Recharging Processes in Agriculture and Disaster Management by Leonardo Grando, Juan Fernando Galindo Jaramillo, José Roberto Emiliano Leite, Edson Luiz Ursini

“…It highlights recent advancements, including various algorithms for path and mission planning, while identifying ongoing challenges, particularly the scarcity of studies on the recharging coordination that affects UAV operations in these fields. …”
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Deep(er) reconstruction of imaging Cherenkov detectors with swin transformers and normalizing flow models by C Fanelli, J Giroux, J Stevens

“…Fast reconstruction algorithms are essential for near real-time alignment, calibration, data quality control, and efficient analysis. …”
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