Enhanced reactivity and electron efficiency of nanoscale zero-valent iron for nitroaromatic compounds reduction through modification with anthraquinone-2-carboxylic acid by Yuxin Li, Shiqi Yang, Zihan Liu, Yiyang Pan, Pengfei Zhang, Zhiqiu Qu, Chao Shan

“…Humic substances (HS) modification favors the reactivity of nanoscale zero-valent iron (nZVI) for water decontamination from nitro-compounds like nitrobenzene (NB), whereas the structural complexity of HS hinders the elucidation of its mechanism. …”
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EnsembleXAI-Motor: A Lightweight Framework for Fault Classification in Electric Vehicle Drive Motors Using Feature Selection, Ensemble Learning, and Explainable AI by Md. Ehsanul Haque, Mahe Zabin, Jia Uddin

“…RFE-CV is found to be very effective in feature selection and helps to construct a lightweight and cost-effective ensemble voting model for enhancing fault diagnosis for EV Drive Motors, overcoming its unsatisfactory transparency, accuracy, and computational efficiency. …”
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A Machine Learning Model for Predicting Breast Cancer Recurrence and Supporting Personalized Treatment Decisions Through Comprehensive Feature Selection and Explainable Ensemble Le... by Lee TF, Shiau JP, Chen CH, Yun WP, Wuu CS, Huang YJ, Yeh SA, Chen HC, Chao PJ

“…However, traditional risk prediction models often lack accuracy and do not fully capture the complexity of patient data.This study developed an ensemble learning model to predict breast cancer recurrence more accurately by integrating LASSO feature selection and multiple machine learning models. …”
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Development of New Electricity System Marginal Price Forecasting Models Using Statistical and Artificial Intelligence Methods by Mehmet Kızıldağ, Fatih Abut, Mehmet Fatih Akay

“…Overall, this study presents a novel and comprehensive approach tailored for complex electricity markets, significantly enhancing predictive reliability by incorporating economic indicators and sophisticated feature selection methods.…”
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Evaluating the Performance of Machine Learning Classifiers for Network Intrusion Detection: A Comparative Study Using the UNSW-NB15 Dataset by Iwan Handoyo Putro

“…It is because of their growing adoption and complexity of cyber-attacks. Therefore, protecting network infrastructures and identifying malicious behavior becomes a necessity. …”
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Non-destructive assessment of hemp seed vigor using machine learning and deep learning models with hyperspectral imaging by Damrongvudhi Onwimol, Pongsan Chakranon, Kris Wonggasem, Papis Wongchaisuwat

“…To simplify the analysis and reduce computational complexity, a subset of key spectral wavelengths was selected using a successive projection algorithm. …”
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Features of the Methods of Training Physical Exercises by Victor BUFTEA

“…Certainly, this information can lead to the selection of the most relevant methodological sequences, the correct application of which can contribute to streamlining the learning process of any technical structure and any content. …”
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DenseNet-FPA: Integrating DenseNet and Flower Pollination Algorithm for Breast Cancer Histopathology Image Classification by Musa Adamu Wakili, Harisu Abdullahi Shehu, Mahdi Abdollahi, Badamasi Imam Ya'u, Md Haidar Sharif, Huseyin Kusetogullari

“…While histopathological image analysis plays a key role in breast cancer diagnosis, the complexity and heterogeneity of these images present significant challenges. …”
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"You do need each member of the team to bring that next piece of the puzzle": Allied health professionals' experience of interprofessional complex care in hospital settings. by Felice Borghmans, Venesser Fernandes, Stella Laletas, Harvey Newnham

“…Increase in interprofessional complex care in hospital settings reflects rising population health complexity. …”
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A Novel Approach to Pine Nut Classification: Combining Near-Infrared Spectroscopy and Image Shape Features with Soft Voting-Based Ensemble Learning by Yueyun Yu, Xin Huang, Danjv Lv, Benjamin K. Ng, Chan-Tong Lam

“…This study proposes a novel near-infrared (NIR) spectral feature selection algorithm, termed the improved binary equilibrium optimizer with selection probability (IBiEO-SP), which incorporates a dynamic probability adjustment mechanism to achieve efficient feature dimensionality reduction. …”
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Rough Set Theory and Soft Computing Methods for Building Explainable and Interpretable AI/ML Models by Sami Naouali, Oussama El Othmani

“…This study introduces a novel framework leveraging Rough Set Theory (RST)-based feature selection—MLReduct, MLSpecialReduct, and MLFuzzyRoughSet—to enhance machine learning performance on uncertain data. …”
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Chelating Properties of N₆O-Donors Toward Cu(II) Ions: Speciation in Aqueous Environments and Catalytic Activity of the Dinuclear Complexes by Andrea Cendron, Martina Chianese, Kamil Zarzycki, Paolo Ruzza, Claudia Honisch, Justyna Brasuń, Mauro Carraro

“…This study investigates the speciation, chelating efficiency, and metal selectivity of these ligands, as well as the antioxidant activity of the resulting complexes under aqueous and physiologically relevant conditions. …”
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A multistrategy improved hunger games search algorithm by Qiu Yihui, Zhang Xinqiang, Li Ruoyu, Li Dongyi, Xia Feihan

“…Moreover, a binary variant, BMHGS_V3, using sigmoid transformation, attains an average classification accuracy of 92.3% on ten UCI datasets for feature selection tasks. The proposed MHGS algorithm provides a novel and effective framework for solving complex optimization problems, demonstrating significant theoretical and practical value in the field of computational intelligence.…”
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Research on Mobile Robot Path Planning Based on MSIAR-GWO Algorithm by Danfeng Chen, Junlang Liu, Tengyun Li, Jun He, Yong Chen, Wenbo Zhu

“…Path planning is of great research significance as it is key to affecting the efficiency and safety of mobile robot autonomous navigation task execution. …”
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An efficient privacy-preserving multilevel fusion-based feature engineering framework for UAV-enabled land cover classification using remote sensing images by S. Nagadevi, G. Abirami, R. Brindha, T. Prabhakara Rao, Gyanendra Prasad Joshi, Woong Cho

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Increasing the Sensitivity of Protections in Electrical Networks up to 1 kV by Using Microprocessor and Semiconductor Release Tripping Devices by A. Yu. Kapustsinski, S. V. Kаnstantsinava

“…Much attention is paid to the concept of selectivity; attention is also paid to the concepts of full and partial selectivity. …”
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Model of the resource allocation system structure based on the functional-network principle of representing indicators by Roman A. Khalturin, Igor Yu. Kashtanov, Vladimir D. Kutkov, Nikita S. Akinshin

“…Methods include mathematical modeling, probabilistic distribution analysis, and efficiency assessment of resource allocation in complex transport systems. …”
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SIMULATION MODEL OF MAKING SOCIO-ECO-ECONOMIC DEVELOPMENT PROGRAM FOR SOUTHERN RUSSIA by Alla Vasilyevna Temirkanova

“…The economy management efficiency goes up through the development of additional tooling, principles and factors, and the increased instrument value claims target selectivity, tension, and application areas. …”
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Who should be included in first-in-human trials? A systematic review of reasons by Lieke van Kempen, Martine C. de Vries, Eelco J. P. de Koning, Nienke de Graeff

“…The results highlight considerations that are relevant to reflect upon when determining and justifying participant selection for FIH trials. …”
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NATURE MANAGEMENT MAPPING: EXPERIENCE OF INTEGRATED ATLASES by T. A. Vorobyova, T. V. Kotova, M. V. Slipenchuk, V. S. Tikunov

“…For the last it is necessary to define a comprehensive and integrated indicators and criteria depending on the concept map, allowing to assess and reflect: efficiency use of natural resource potential of the territory, the scale of the environmental impacts of economic activities, in socio-economic development. …”
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