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  1. 341
  2. 342

    A Ship Emission Monitoring Option for Fuel Sulphur Content Measurement in Complex Environments by Fan Zhou, Xiaojia Lin, Liwei Hou

    Published 2025-04-01
    “…Limiting the fuel sulphur content (FSC) of ships can significantly reduce the harm caused by ship emissions, and analyzing ship exhaust gas to estimate FSC is a rapid, efficient, and low-cost monitoring method. To solve the difficulty in measuring FSC using sniffer equipment in a complex port area, a ship emission monitoring option for FSC measurement in complex environments is proposed here. …”
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    Article
  3. 343

    An improved Red-billed blue magpie feature selection algorithm for medical data processing. by Chenyi Zhu, Zhiyi Wang, Yinan Peng, Wenjun Xiao

    Published 2025-01-01
    “…Experiments demonstrate that IRBMO exhibits high efficiency, generality and excellent generalization ability in feature selection tasks. …”
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  4. 344

    SmartRipen: LSTM-GRU feature selection& XGBoost-CNN for fruit ripeness detection by Archana Ganesh Said, Bharti Joshi

    Published 2025-09-01
    “…A Bacterial Foraging Optimizer (BFO) built around variance maximization retains high-density as well as discriminative features during feature selection. A novel Convolutional XGBoost Network (CXGBN) combines CNN's completely connected layers with XGBoost classifications for enhanced efficiency. …”
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  5. 345

    Real-Time Power System Event Detection: A Novel Instance Selection Approach by Gabriel Intriago, Yu Zhang

    Published 2023-01-01
    “…A cost and complexity analysis of the algorithm is discussed. With reduced computational effort, the classifier can handle high-velocity, high-volume, and evolving data streams from the PMUs. …”
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    Article
  6. 346

    An Opposition-Based Great Wall Construction Metaheuristic Algorithm With Gaussian Mutation for Feature Selection by Farouq Zitouni, Abdulaziz S. Almazyad, Guojiang Xiong, Ali Wagdy Mohamed, Saad Harous

    Published 2024-01-01
    “…Its complexity arises from the vast search space, necessitating the application of metaheuristic methods to efficiently identify optimal feature subsets. …”
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    Article
  7. 347

    Influence of Ligand Isomerism on the Photophysical Properties of AIPE-Active Rhenium(I) Complexes: Investigations with a 2-(1,2,3-Triazol-1-yl)pyridine (Tapy)-Based Complex and Its... by Abanoub Mosaad Abdallah, Mariusz Wolff, Nadine Leygue, Maëlle Deleuzière, Nathalie Saffon-Merceron, Charles-Louis Serpentini, Eric Benoist, Suzanne Fery-Forgues

    Published 2025-06-01
    “…This study shows how the ligand isomerism influences the optical properties of tricarbonylrhenium(I) complexes. It indicates that selecting the right pattern is a key factor for the design of efficient photoluminescent materials.…”
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  8. 348
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  10. 350

    FedEach: Federated Learning with Evaluator-Based Incentive Mechanism for Human Activity Recognition by Hyun Woo Lim, Sean Yonathan Tanjung, Ignatius Iwan, Bernardo Nugroho Yahya, Seok-Lyong Lee

    Published 2025-06-01
    “…In addition, FedEach maintains computational efficiency so that it is reliable for efficient FL applications such as sensor-based HAR with wearable devices and mobile sensing.…”
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    Article
  11. 351

    THE PROBLEM OF ENERGY EFFICIENCY OF SYSTEMS BASED ON ARTIFICIAL INTELLIGENCE OF THE INTERNET OF THINGS (AIOT) by С. В. Войтко

    Published 2025-02-01
    “…It was determined that integrating artificial intelligence functionality into the IoT infrastructure provides the opportunity to store big data for processing using artificial intelligence elements capable of conducting predictive analysis to make informed management decisions. AIoT energy efficiency can be ensured on the basis of the following: selection of machine learning methods, hardware improvement, software optimization, network planning, effective model design, and energy consumption testing with subsequent conclusions for comprehensive improvement. …”
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    Article
  12. 352

    Spatial performance evaluation and optimization of integrated aboveground and underground spaces in urban commercial complexes by Xiaochun Hong, Shengcai Li, Tao Chen, Xiang Ji, Xinlan Song

    Published 2025-03-01
    “…Specific optimization directions for selected case studies are outlined. The study’s conclusions guide the scientific development of integrated spaces in urban commercial complexes, ultimately enhancing overall efficiency.…”
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    Article
  13. 353

    Hydrothermal leaching behavior of a complex polymetallic secondary sulfide concentrate enhanced by ultrasonication by Liu Q.F., Liao Y.L., Li J.L., Wu M.

    Published 2025-01-01
    “…Complex polymetallic secondary sulfide concentrate (CPSSC) is difficult to be efficiently utilized because of its special mineral phase structure and high lead and iron content. …”
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  14. 354

    Formation of ternary organic acids-Fe-P complexes on the growth of wheat (Triticum aestivum) by Djalma E. Schmitt, Luciano C. Gatiboni, Daniel J. D. Orsoletta, Gustavo Brunetto

    “…Two experiments were carried out to evaluate the formation of organic acid-Fe-P complexes in the laboratory and the efficiency of these complexes on the growth of wheat plants (T. aestivum) grown under greenhouse conditions. …”
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  15. 355

    Asymmetric synthesis of stereogenic-at-iridium(III) complexes through Pd-catalyzed kinetic resolution by Yun-Peng Chu, Xue-Lin Yue, De-Hai Liu, Chuanyong Wang, Jiajia Ma

    Published 2025-01-01
    “…Notably, while asymmetric catalysis has played a crucial role in the production of optically active organic molecules, its application to stereogenic-at-metal complexes is less straightforward. In this study, we introduce a kinetic resolution strategy employing a Pd-catalyzed asymmetric Suzuki-Miyaura cross-coupling reaction that efficiently produces optically active stereogenic-at-iridium complexes from racemic mixtures with high selectivity (achieving an s-factor of up to 133). …”
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  16. 356

    A COGNITIVE APPROACH FORMING THE BASIS OF SYSTEM AND FINANCIAL ANALYSIS OF COMPLEX RESEARCH OBJECTS by A. N. Vetrov

    Published 2018-06-01
    “…It is based on the generated system of analytical coefficients, each representing a complex of parameters (indicators), echeloned for a series of portraits and stratified into several independent sets, arranged on two different levels of the selected hierarchy (structure).Conclusion. …”
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  17. 357
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    Development of educational complex on electrical engineering, electronics and microcon-trollers on modeling in TINA software by Vladimir A. Alekhin

    Published 2018-01-01
    “…The purpose of the research was a comparative analysis of various computer simulation programs in terms of their accessibility, ease of development and efficiency of use by lecturers and students in the educational process, and the creation and testing of a training complex for the electrical engineering, electronics and microcontrollers using the selected modeling environment.The problems associated with the need to purchase licensed software were discussed and a comparative analysis of the following computer modeling programs for electrical circuits and electronic circuits was performed: NI Multisim, Micro-Cap, Proteus VSM, OrCAD, TINA. …”
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  19. 359

    Effect of the Sampling of a Dataset in the Hyperparameter Optimization Phase over the Efficiency of a Machine Learning Algorithm by Noemí DeCastro-García, Ángel Luis Muñoz Castañeda, David Escudero García, Miguel V. Carriegos

    Published 2019-01-01
    “…Although there exist several automatic optimization techniques, these usually take significant resources, increasing the dynamic complexity in order to obtain a great accuracy. Since one of the most critical aspects in this computational consume is the available dataset, among others, in this paper we perform a study of the effect of using different partitions of a dataset in the hyperparameter optimization phase over the efficiency of a Machine Learning algorithm. …”
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  20. 360