HCANet: a micro expression recognition model based on hierarchical Transformer architecture by YANG Aonan, MO Hong, ZHAO Shili, OUYANG Yuqi

“…Finally, comparative validations were conducted using leave-one-out-cross-validation on four publicly available micro expression datasets (CASME Ⅱ, CASME Ⅲ, SMIC, SAMM) against six other algorithms. The results demonstrate that HCANet achieves improved classification accuracy on the CASME Ⅲ, SMIC and SAMM datasets, and exhibits stronger robustness in complex scenarios (e.g., low frame rates, background noise).…”
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η-ensemble path integral Monte Carlo approach to the free energy of the warm dense electron gas and the uniform electron liquid by Tobias Dornheim, Panagiotis Tolias, Zhandos A. Moldabekov, Jan Vorberger

“…We explore the recently introduced η-ensemble approach to compute the free energy directly from ab initio path integral Monte Carlo (PIMC) simulations [T. …”
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BIOCOMPATIBILITY OF MEDICAL DEVICES BASED ON METALS, CAUSES FORMATION OF PATHOLOGICAL REACTIVITY (A REVIEW OF FOREIGN LITERATURE) by O. M. Rozhnova, V. V. Pavlov, M. A. Sadovoy

“…The objective of the research is a review of approaches to the evaluation of biocompatibility of medical devices on the basis of metals and alloys, and to find ways of overcoming the low engraftment of implanted structures. Implantation by artificial materials allows us to regain the use of human organs and tissues and to date has no rivals. …”
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Topology aware multitask cascaded U-Net for cerebrovascular segmentation. by Pierre Rougé, Nicolas Passat, Odyssée Merveille

“…Currently, differentiable skeletonization algorithms are either inaccurate or computationally demanding. …”
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ML-based top taggers: Performance, uncertainty and impact of tower & tracker data integration by Rameswar Sahu, Kirtiman Ghosh

“…Machine learning algorithms have the capacity to discern intricate features directly from raw data. …”
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Functional control of the technical condition method for aircraft control system sensors under complete parametric uncertainty by J. V. Bondarenko, E. Yu. Zybin

“…Fast tuning, fast response and selective sensitivity of the developed algorithms are noted.…”
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The Method of Images Revisited: Approximate Solutions in Wedge‐Shaped Aquifers of Arbitrary Angle by I. A. Nikoletos, K. L. Katsifarakis

“…The main advantages of the proposed methodology are the following: (a) The model needs only finite number of terms compared to conventional analytical and numerical solutions that involve infinite series, (b) The computational load is low, so it can be easily used in conjunction with meta‐heuristic algorithms to solve groundwater resources optimization problems, (c) Stream depletion rate can be calculated rather accurately and (d) The method is applicable to related flow problems.…”
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Local differential privacy-based frequent sequence mining by Teng Wang, Zhi Hu

“…The experimental results demonstrate the high data utility of our proposed algorithms when compared with other state-of-the-art mechanisms.…”
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AI‐Driven TENGs for Self‐Powered Smart Sensors and Intelligent Devices by Aiswarya Baburaj, Syamini Jayadevan, Akshaya Kumar Aliyana, Naveen Kumar SK, George K Stylios

“…The review also identifies key challenges and future research directions, including the development of low‐power AI algorithms, sustainable materials, hybrid energy systems, and robust security protocols for AI‐enhanced TENG solutions.…”
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Numerical Simulation of Dynamic Response of Slab-Column Structures under Fire-Explosion Coupled Effects by LIU Jingbo, YANG Qiong, WU Lei, WANG Chengquan, YU Xiongfei, FANG Mingyu, DONG Tengfang

“…ObjectiveSlab-column structures exhibit inherent vulnerabilities to extreme events due to low structural redundancy. While their response to individual fire or explosion hazards has been studied, the sequential scenario of a fire followed by an explosion presents a complex challenge that is not well understood. …”
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Leveraging artificial intelligence to strengthen surgical systems in sub-Saharan Africa by Osedebamen Ralph-Okhiria, Ikhide Alonge

“…AI holds great potential throughout the surgical care pathway, from diagnosing and planning interventions via AI-based imaging and predictive algorithms to enabling more precise, minimally invasive procedures using AI-directed robotic platforms and navigation systems. …”
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The Use of BIM Models and Drone Flyover Data in Building Energy Efficiency Analysis by Agata Muchla, Małgorzata Kurcjusz, Maja Sutkowska, Raquel Burgos-Bayo, Eugeniusz Koda, Anna Stefańska

“…The findings highlight the potential for optimizing energy efficiency, improving facility management, and advancing low-emission building practices. The study also addresses key challenges such as data standardization and interoperability, and outlines future research directions in the context of smart city applications and energy-efficient urban development.…”
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Multi-Class Classification Methods for EEG Signals of Lower-Limb Rehabilitation Movements by Shuangling Ma, Zijie Situ, Xiaobo Peng, Zhangyang Li, Ying Huang

“…Brain–Computer Interfaces (BCIs) enable direct communication between the brain and external devices by decoding motor intentions from EEG signals. …”
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Video analysis reveals early signs of Bradykinesia in REM sleep behavior disorder and Parkinson’s disease by Diego L. Guarín, Gabriela Acevedo, Carolina Calonge, Joshua K. Wong, Nikolaus R. McFarland, Adolfo Ramirez-Zamora, David E. Vaillancourt

“…Movement amplitude, speed, and their decrements during the task were directly estimated from the videos using machine learning algorithms. …”
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Research on the Integration of Sensing and Communication Based on Fractional-Order Fourier Transform by Mingyan Qi, Yuelong Su, Zhaoyi Wang, Kun Lu

“…The simulation results show that the pairwise cancellation filtering suppresses the frequency sweeping interference by 4–6 dB more than the direct filtering with an SIR ≤ −15 dB. Both filtering methods can correctly extract the target position information under frequency sweeping interference with a low signal-to-interference ratio (SIR). …”
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Water tank and swimming pool detection based on remote sensing and deep learning: Relationship with socioeconomic level and applications in dengue control. by Higor Souza Cunha, Brenda Santana Sclauser, Pedro Fonseca Wildemberg, Eduardo Augusto Militão Fernandes, Jefersson Alex Dos Santos, Mariana de Oliveira Lage, Camila Lorenz, Gerson Laurindo Barbosa, José Alberto Quintanilha, Francisco Chiaravalloti-Neto

“…Thus, we found that regions with low socioeconomic status had more exposed water tanks, while regions with high socioeconomic levels had more exposed pools. …”
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QoS Based IoT Applications in LoRa Networks Using Multi-Dimensional Allocation Strategy by Ghassan El Helou, Marc Ibrahim, Rami Tawil, Yasser Mohanna

“…The study includes simulations to validate the effectiveness of the proposed algorithms and provides insights for future research directions.…”
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One-Class Anomaly Detection for Industrial Applications: A Comparative Survey and Experimental Study by Davide Paolini, Pierpaolo Dini, Ettore Soldaini, Sergio Saponara

“…The article concludes with a discussion of additional strategies to enhance the runtime analysis of these algorithms, offering insights into potential future applications and improvement directions.…”
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Advances in Skeleton-Based Fall Detection in RGB Videos: From Handcrafted to Deep Learning Approaches by Van-Ha Hoang, Jong Weon Lee, Md. Jalil Piran, Chun-Su Park

“…In this paper, we examine the most recent advances in skeleton-based fall detection in RGB videos, from handcrafted feature-based methods to advanced deep learning algorithms. Further, we present several skeleton-based fall detection techniques and their performance results on various benchmark datasets, along with challenges and future directions in this field.…”
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Optimization of the Residual Biomass Supply Chain: Process Characterization and Cost Analysis by Leonel J. R. Nunes, Sandra Silva

“…Techniques such as linear programming, genetic algorithms, and tabu search are contextualized within these models. …”
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