Application of Multiple Deep Learning Architectures for Emotion Classification Based on Facial Expressions by Cheng Qian, João Alexandre Lobo Marques, Auzuir Ripardo de Alexandria, Simon James Fong

“…EfficientNet V2 and ResNet50 emerged as top performers, achieving high accuracy and stable convergence using compound scaling and residual connections, enabling them to capture complex emotional features with minimal overfitting. …”
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AI-driven healthcare innovations for enhancing clinical services during mass gatherings (Hajj): task force insights and future directions by Ala’a Alquayt, Ohoud Aljuhani, Abdullah F. Alharthi, Rahaf Alqahtani, Anas Khan, Ahmed Al-jedai, Abdulqader Almoeen, Mohammed Alshennawi, Hisham A. Badreldin, Abdulrhman Aljouie, Lubna A. Alnasser, Abdulmajeed M. Alshehri, Mohammed Y. Alzahrani, Haifa A. Alhaidal, Raghad Alhajaji, Salman Alotaibi, Esraa Z. Redhwan, Fahad Alharthi, Badr G. Alghamdi, Khalid Al Sulaiman

“…Abstract Background Due to the high complexity of healthcare during mass gatherings (MG), the integration of Artificial Intelligence (AI) might be crucial. …”
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Optimal Band Configuration for the Roof Surface Characterization Using Hyperspectral and LiDAR Imaging by Prakash Nimbalkar, Anna Jarocinska, Bogdan Zagajewski

“…The classification result shows that ANN and SVM classifiers outperform whereas SAM performed poorly in roof characterization. The band selection method worked efficiently than the transformation methods. …”
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A paradigm shift in simulating affinity maturation to elicit broadly neutralizing antibodies by Fahsai Nakarin, Kayla G. Sprenger

“…This review reassesses affinity-based selection models and proposes a new paradigm that integrates multifactorial processes, including stochastic B cell decisions within GC dynamics, antigen extraction efficiency influenced by probabilistic bond rupture, and avidity-driven BCR binding alterations and representations on multivalent antigens. …”
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Biomarkers for Chronic Pain: Significance and Summary of Recent Advances by Sam Eldabe, Ilona Obara, Catherine Panwar, David Caraway

“…While some headway has been made that offers efficiencies in patient selection, it is unlikely that a single test will encompass the variety of chronic pain phenotypes. …”
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Economic Model Predictive Control for Wastewater Treatment Processes Based on Global Maximum Error POD-TPWL by Zhiyu Wang, Jing Zeng, Jinfeng Liu

“…These advancements underscore the method’s potential for real-time implementation in complex industrial systems, balancing computational efficiency with control precision. …”
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Electric-field-induced assists in the preferential extraction of lithium from spent LiFePO4 by Shangpei Yong, Yan Lin

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Classifcation of events in information security systems based on neural networks by A. A. Mikryukov, A. V. Babash, V. A. Sizov

“…To address the problem more effectively, collective methods based on collective neural ensembles aligned with an advanced complex approach were implemented.Materials and methods: When solving complex classification problems, often none of the classification algorithms provides the required accuracy. …”
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TAE Predict: An Ensemble Methodology for Multivariate Time Series Forecasting of Climate Variables in the Context of Climate Change by Juan Frausto Solís, Erick Estrada-Patiño, Mirna Ponce Flores, Juan Paulo Sánchez-Hernández, Guadalupe Castilla-Valdez, Javier González-Barbosa

“…The findings highlight the potential of integrating modern techniques to address complex, high-dimensional problems. By combining advanced prediction models and feature selection strategies, this study advances the reliability of climate forecasts and contributes to the development of effective adaptation and mitigation measures in response to climate change challenges.…”
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Medical care information support for patients with drug-resistant tuberculosis in the Kemerovo Region by S. V. Saranchina, I. F. Kopylova, O. V. Ivanova, L. A. Lomova

“…Introduced for the purpose of increase of rendering of quality of medical care in to service of the Kemerovo region the computer program «Monitoring of TB patients with drug-resistance» in a complex with other programs provides control over selection on treatment, completeness and frequency rate of inspection, adequacy and efficiency of treatment TB patients with drug-resistance, work of the specialized medical commissions.…”
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Evaluation of sustainable airport development strategies using an integrated intuitionistic fuzzy decision-making method and unknown weights by Fei Gao

“…Air transportation, while highly efficient for passenger transit, poses a substantial challenge due to its significant contribution to carbon emissions, and there has been a burgeoning interest in sustainable airports as a means to attain environmental sustainability. …”
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STsisal: a reference-free deconvolution pipeline for spatial transcriptomics data by Yinghao Fu, Yinghao Fu, Yinghao Fu, Leqi Tian, Weiwei Zhang

“…STsisal leverages a novel approach that integrates marker gene selection, mixing ratio decomposition, and cell type characteristic matrix analysis to discern distinct cell types with precision and efficiency within complex tissues. …”
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Computational optimization of associative learning experiments. by Filip Melinscak, Dominik R Bach

“…With computational biology striving to provide more accurate theoretical accounts of biological systems, use of increasingly complex computational models seems inevitable. However, this trend engenders a challenge of optimal experimental design: due to the flexibility of complex models, it is difficult to intuitively design experiments that will efficiently expose differences between candidate models or allow accurate estimation of their parameters. …”
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Leadership competences for the excellence of municipalities’ strategic management by Andrius Valickas, Agota Giedre Raišiene, Malvina Arimavičiūtė

“…Specifics of leadership in municipalities is significantly influenced by the complexity of municipal management, which is happening in multi-layer administration environment, with various interested parties and administrative actors involved at the same time. …”
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Hierarchical Quantum Architecture Search for Variational Quantum Algorithms by Tong Zhao, Bo Chen, Guanting Wu, Liang Zeng

“…Designing efficient variational quantum algorithms (VQAs) is crucial for transforming the theoretical advantages of quantum algorithms into practical applications. …”
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Feasibility of rational constructive and technological parameters of organization options of multigroup shunting on the basis of simulation modeling by S. V. Karasev, D. A. Sivitskiy

“…The article deals with the problem of optimizing the design and technology of the shunting complex, specialized for a multigroup selection of cars. …”
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Traffic Incident Duration Prediction: A Systematic Review of Techniques by Artur Grigorev, Adriana-Simona Mihaita, Fang Chen

“…Future research directions proposed include the following: (1) development of data fusion models that integrate heterogeneous datasets of incident reports for enhanced predictive modeling; (2) utilization of natural language processing (NLP) to extract contextual information from textual incident reports; and (3) implementation of advanced ML pipelines that incorporate anomaly detection, hyperparameter optimization, and sophisticated feature selection techniques. The findings underscore the transformative potential of advanced ML methodologies in traffic incident management, contributing to the development of safer, more efficient, and environmentally sustainable transportation systems.…”
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Intelligent resource scheduling scheme for UAV swarm collaborative sensing by ZHAO Pengcheng, LI Tianyang, LENG Supeng, XIONG Kai

“…Adaptive sensing mode selection, stepwise computation offloading, and competitive bandwidth allocation were integrated to achieve heterogeneous resource coordination across communication, sensing, and computation (CSC), thereby enhancing collaborative sensing efficiency. …”
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User preference–based QoS-aware service function placement in IoT-Edge cloud by Briytone Mutichiro, Younghan Kim

“…An efficient solution to this problem is service orchestration and placement of service functions to meet user-specific requirements. …”
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Materials and technologies for the restoration of tower-type objects by S. G. Sheina, D. K.-S. Bataev, M. M. Maloroev, P. D. Bataeva

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