Securing smart cities through machine learning: A honeypot‐driven approach to attack detection in Internet of Things ecosystems by Yussuf Ahmed, Kehinde Beyioku, Mehdi Yousefi

“…The authors aim to address these challenges by leveraging honeypot data and machine learning to enhance IoT security. The research focuses on three objectives: identifying datasets from IoT‐targeted honeypots, evaluating machine learning algorithms for threat detection, and proposing comprehensive security solutions. …”
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dmQAR: Mapping Metacognition in Digital Spaces onto Question–Answer Relationship by Brittany Adams, Nance S. Wilson, Gillian E. Mertens

“…In response to the nonlinear, multimodal, and algorithmically curated nature of online texts, the dmQAR Framework scaffolds purposeful metacognitive questioning to support comprehension, evaluation, and critical engagement. …”
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Quantum natural language processing and its applications in bioinformatics: a comprehensive review of methodologies, concepts, and future directions by Gundala Pallavi, Rangarajan Prasanna Kumar

“…Quantum Natural Language Processing (QNLP) is a relatively new subfield of research that extends the application of principles of natural language processing and quantum computing that has enabled the processing of complex biological information to unprecedented levels. …”
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Comparison of Matrix Decomposition in Null Space-Based LDA Method by Carissa Devina Usman, Farikhin, Titi Udjiani

“…This research led to several new implementations of the NLDA method that use other matrix decompositions. …”
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Interpretable Machine Learning for the German residential rental market – shedding light into model mechanics by Severin Bachmann

“…The study aims to investigate linear regression, decision tree and XGBoost algorithms. The research is unique in its application of IML methods to a large dataset of over 2.4 million observations in the German rental market and its application of comparative statistics using aggregate SHAP values. …”
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AI-Driven Advancements in Bioinformatics: Transforming Healthcare and Science by Sunil Namdev Thitame, Ashwini Ashok Aher

“…This review evaluates the fundamental AI enabled bioinformatics approaches with their deployment for genomic and protein structure prediction and drug discovery algorithms and diagnostic solutions. Different AI models demonstrate exceptional ability to identify genetic disease-related mutations and to forecast protein structure in addition to accelerating pharmaceutical research while enhancing diagnosis reliability. …”
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Design of a Communication Device of Infrared Thermal Imaging Target Recognition and Tracking System by Le Zhang, Jinsong Wang, Zhiyong An

“…This technology is still a research hotspot at present, and it has high research value for any region. …”
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SOME TYPES OF METASUBJECT RESULTS WHEN TEACHING MATHEMATICS by V. A. Testov

“…The aim of the study is to allocate in the content of teaching mathematics those elements, those kinds of mathematical cognitive activities that are metasubject character, which are the basis for the formation of cognitive learning activities, as a means to study not only of mathematical objects, but some objects of other sciences.Methods. Research is based on a system-structural and activity-based approaches; literature analysis, theoretical research and experimental work.Results. …”
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Exploring Gender Differences in Fatwa through Machine Learning by Emad Mohamed, Raheem Sarwar

“…We intend to share both the dataset and the source code openly with the research community.…”
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Remote Sensing Applications in Ocean Observation (Second Edition) by Chung-Ru Ho

“…The articles presented in this Special Issue epitomize the convergence of cutting-edge sensor technologies, innovative data processing techniques, and advanced algorithmic approaches in ocean remote sensing. Through studies ranging from sensor calibration and data fusion to the application of deep learning and transformer models, the research showcased here pushes the boundaries of what can be achieved in ocean observation. …”
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Exploring A Better Way to Constraint Propagation Using Naked Pair by Chen Kaiqi

“…This research uses a dataset of 1 million sudoku puzzlers from Kaggle to evaluate the proposed solver’s performance. …”
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Multi-step partitioning combined with SOM neural network-based clustering technique effectively improves SAT solver performance by Siyu Yun, Xinsheng Wang

“…The primary issue of SAT solver now is the divergence between SAT used in industry and research on pure solution algorithms. We propose a strategy for partitioning the SAT problem based on the structural information then solving it. …”
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Effect of Rotational Speed on Performance of Mixed Flow Pump as Turbine by Jun Chen, Tao Dai, Qing Yang

“…In order to research the flow characteristics of mixed flow pump as turbine (MF-PAT) with different rotation speeds, a hydraulic model of mixed flow pump was established based on a pumped storage power station. …”
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Overview of Sign Language Translation Based on Natural Language Processing by Wang Hanmo

“…It highlights the critical need for high-quality, large-scale datasets to advance SLT research, while acknowledging challenges like data scarcity, annotation inconsistencies, and ethical concerns. …”
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Employee loyalty evaluation using machine learning in technology-based small and medium-sized enterprises by Yong Shi, Yuan Wang, Hongkun zuo

“…Through several machine learning models and algorithms to predict employee loyalty, the feasibility of machine learning to predict employee loyalty is proved, and the evaluation of talent in TSMEs is supported by decision analysis. …”
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E-COMMERCE AND E-CONTRACTS: CHALLENGES, RISKS AND OPPORTUNITES IN THE CROSS-BORDER MARKETS by Artur GOLBAN

“…In the research was used statistical data from the National Bank of Moldova, the National Bureau of Statistics of the Republic of Moldova and other sources. …”
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Improving earthquake prediction accuracy in Los Angeles with machine learning by Cemil Emre Yavas, Lei Chen, Christopher Kadlec, Yiming Ji

“…Abstract This research breaks new ground in earthquake prediction for Los Angeles, California, by leveraging advanced machine learning and neural network models. …”
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Tradeoffs Associated With the Cloud Masking for SGLI Sea Surface Temperature by Yukio Kurihara, Rigen Shimada, Eri Yoshizawa, Fumiaki Kobashi

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SatBałtyk - A Baltic environmental satellite remote sensing system - an ongoing project in Poland. Part 1: Assumptions, scope and operating range by Bogdan Woźniak, Katarzyna Bradtke, Mirosław Darecki, Jerzy Dera, Joanna Dudzińska-Nowak, Lidia Dzierzbicka-Głowacka, Dariusz Ficek, Kazimierz Furmańczyk, Marek Kowalewski, Adam Krężel, Roman Majchrowski, Mirosława Ostrowska, Marcin Paszkuta, Joanna Stoń-Egiert, Małgorzata Stramska, Tomasz Zapadka

“…Examples are given of the Baltic's characteristics estimated using the preliminary versions of the algorithms in this Operational System. At the current stage of research, these algorithms apply mainly to the characteristics of the solar energy influx and the distribution of this energy among the various processes taking place in the atmosphere-sea system, and also to the radiation balance of the sea surface, the irradiance conditions for photosynthesis and the condition of plant communities in the water, sea surface temperature distributions and some other marine phenomena correlated with this temperature. …”
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Assessing the Accuracy and Consistency of Cropland Datasets and Their Influencing Factors on the Tibetan Plateau by Fuyao Zhang, Xue Wang, Liangjie Xin, Xiubin Li

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