Cross-View Geo-Localization: A Survey by Abhilash Durgam, Sidike Paheding, Vikas Dhiman, Vijay Devabhaktuni

“…This paper provides a thorough survey of cutting-edge methodologies, techniques, and associated challenges that are integral to this domain, with a focus on feature-based and deep learning strategies. Feature-based methods capitalize on unique features to establish correspondences across disparate viewpoints, whereas deep learning-based methodologies deploy neural networks (convolutional or transformer-based) to embed view-invariant attributes. …”
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Equi‐MOI ratio for rapid baculovirus‐mediated multiprotein co‐expression in insect cells integrating selenomethionine for structural studies by Andrej Bitala, Mário Benko, Marek Nemčovič, Ivana Nemčovičová

“…Although AI‐enhanced tools, such as AlphaFold, have revolutionized protein structure prediction, solving the phase problem remains the most significant challenge in X‐ray crystallography for determining entirely novel, dynamic, or complex protein structures. …”
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Quantum Variational vs. Quantum Kernel Machine Learning Models for Partial Discharge Classification in Dielectric Oils by José Miguel Monzón-Verona, Santiago García-Alonso, Francisco Jorge Santana-Martín

“…The captured images were processed in a Scikit-image environment to obtain a reduced number of features or qubits for later training of quantum circuits. …”
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CNN-based state prediction for a varying number of storage in economic dispatch by Xiang Pan, Wei Lin, Linze Yang, Yanfang Mo

“…Such an architecture effectively extracts multi-scale features through multiple convolutional layers, pooling, and upsampling operations. …”
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Application of a Latent Diffusion Model to Plant Disease Detection by Generating Unseen Class Images by Noriyuki Mori, Hiroki Naito, Fumiki Hosoi

“…Image-to-image generation was utilized to preserve the original healthy leaf features, which enabled the appropriate image generation of diseased apple leaves. …”
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Semantic-BERT and semantic-FastText model for education question classification by Teotino Gomes Soares, Azhari Azhari, Nur Rohkman

“…However, most existing models suffer from limited semantic accuracy, particularly when dealing with complex or ambiguous education queries. The problem lies in their reliance on surface-level features, such as keyword matching, which hampers their ability to capture deeper syntactic and semantic relationship in question. …”
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Research on damage detection technology for wind turbine blade acoustic signals by fusion of sparse representation, compressive sensing and deep learning by Liang Wang, Chun Yang, Chao Yuan, Yanan Liu, Yanqing Chen

“…The sparse representation method is used to effectively encode the voiceprint signal and extract representative signal features; the compressed sensing technology is applied to efficiently reconstruct the signal using a small amount of sampled data, significantly reducing the data collection amount and storage requirements; deep feature learning and damage pattern classification based on convolutional neural network further improve the accuracy and intelligence level of detection.The research results show that the proposed method effectively reduces the computational complexity and greatly improves the detection accuracy. …”
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Deep Learning-Augmented Evolutionary Strategies for Intelligent Global Optimization by Absalom El-Shamir Ezugwu, Olaide Nathaniel Oyelade, Jeffrey Ovre Agushaka, Apu Kumar Saha

“…Additionally, SIRO was tested on real-world optimization problems, including mechanical engineering design, hyperparameter tuning, and feature selection for medical image classification. …”
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GES: A New Building Damage Data Augmentation and Detection Method Based on Extremely Imbalanced Data and Unique Spatial Distribution of Satellite Images by Xiaopeng Sha, Zhoupeng Guo, Xinqi Sang, Shuyu Wang, Yuliang Zhao

“…The xFBD_TWC dataset, featuring balanced samples and cloud occlusion, has demonstrated its excellence through experimental results. …”
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Instrumental or Physical-Exercise Rehabilitation of Balance Improves Both Balance and Gait in Parkinson’s Disease by Marica Giardini, Antonio Nardone, Marco Godi, Simone Guglielmetti, Ilaria Arcolin, Fabrizio Pisano, Marco Schieppati

“…Walking problems in PD depend on postural instability and are successfully relieved by appropriate balance rehabilitation. …”
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Research on fault localization method of valve area in converter station based on metric learning and knowledge reasoning by WEI Yun, LI Xianwei, ZHANG Yanlong, CAO Hui, XU Dan, QIU Junhong

“…A data dimensionality reduction network based on metric learning is constructed to achieve feature extraction of recorded electrical quantities by maximizing inter class distance and minimizing intra class distance. …”
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Enhancing knee osteoarthritis diagnosis with DMS: a novel dense multi-scale convolutional neural network approach by Di Zhang, Yuting Dong, Yao Xu, Junhui Qian, Miaoyu Ye, Qiang Yuan, Jian Luo

“…This module utilizes dense connections in convolutions of varying sizes (1 × 1, 3 × 3, 5 × 5) and across layers, enhancing feature reuse and complexity recognition, thereby improving recognition capabilities. …”
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Composition Design and Property Prediction for AlCoCrCuFeNi High-Entropy Alloy Based on Machine Learning by Cuixia Liu, Meng Meng, Xian Luo

“…This study solves the problem of revealing the mutual relationship between the element contents and hardness of high-entropy alloys in the case of a lack of alloy data and provides theoretical guidance for further improving the performance of high-entropy alloys.…”
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Monte Carlo method for determination and analysis damage to the power system by D. E. Marmysh, U. I. Babaed

“…General recommendations have been developed for determining the boundaries of a subdomain containing a dangerous volume. Based on the features of the Monte Carlo methods, a numerical assessment of the indicators of damage of continuous media for a different number of integration nodes was carried out. …”
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A Multi-Architecture Approach for Offensive Language Identification Combining Classical Natural Language Processing and BERT-Variant Models by Ashok Yadav, Farrukh Aslam Khan, Vrijendra Singh

“…Our proposed approach involves concatenation of features (TF-IDF, Word2Vec, sentiments, and FKRA/FRE) and a baseline machine learning model for the classification. …”
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Theory and practice of labor education of junior schoolchildren in extracourse activities by Galiya B. Sarmutdinova

“…And at the second stage, the features of the influence of labor activity on interpersonal communication were revealed, and on this basis the level of development of the team in labor activity was determined.…”
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On forming a system of indicators of sustainable development by A. I. Belousov, E. V. Zakalyukina, G. V. Mihailova

“…In the course of the study, the problem of the existing approach to the aggregation of indicators of sustainable development and their correlation with macroeconomic indicators is highlighted. …”
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Students' responses to Maria Grzegorzewska's Letters to a Young Teacher by Marta Krasuska-Betiuk, Monika Kupiec

“…The problem of the article is situated in the field of pedeutology and concerns specific resources of pedagogical knowledge, generating personal pedagogical theories of students preparing to perform the profession of early education teacher. …”
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The nature of lesions of the central nervous system in infections, caused by <i>Varicella Zoster</i> virus by S. N. Eshmolov, E. G. Klimovitskaya, M. N. Kuzmina, I. G. Sitnikov

“…The main clinical and laboratory indicators were analyzed, the features of central nervous system lesions caused by the Varicella Zoster virus were revealed, and the medical and social significance of this problem was confirmed. …”
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Assessment of the objective conditions of scientific research activity in Russia by V. E. Statsenko

“…Analytical data on the number of organizations implementing research processes and engaged in experimental design developments, qualitative and quantitative characteristics of personnel involved in scientific activities, as well as features of financing research work, allowing to identify problem areas of dynamic development of innovative processes in the country. …”
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