Selección de proveedores con el método PSI by Ángel Rodríguez Rodriguez, Raquel Irene Laguado Ramírez, Belisario Peña Rodríguez, Lida Yaneth Maldonado Mateus

“…This makes it an ideal option for complex processes such as supplier selection, where decision criteria are often multiple and diverse, such as cost, quality, reliability, or delivery time, among others. …”
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The Development of Building Materials Recommendation System Based on Feature Crosses by Hui-Ping Tserng, Chung-Cho Chang, Shu-Hsien Tai

“…Relying solely on traditional data often limits architects’ understanding, especially during early design, where material choices impact overall performance. This complexity highlights the need for an efficient recommendation system. …”
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Multi-feature stock price prediction by LSTM networks based on VMD and TMFG by Zhixin Zhang, Qingyang Liu, Yanrong Hu, Hongjiu Liu

“…This paper proposes a novel stock price forecasting model—the Variational Mode Decomposition—Triangulated Maximally Filtered Graph—Long Short-Term Memory (VMD–TMFG–LSTM) combined model—aimed at improving prediction accuracy, stability, and computational efficiency. The proposed model first employs Variational Mode Decomposition (VMD) to decompose the stock price time series into multiple smooth intrinsic mode functions (IMFs), reducing data complexity and mitigating noise interference. …”
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A machine learning framework for predicting healthcare utilization and risk factors by Yead Rahman, Prerna Dua

“…A rigorous preprocessing pipeline ensured data integrity, while exploratory data analysis (EDA) guided feature selection, ultimately retaining 20 key variables to capture complex interactions. …”
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Improving battery safety and sustainability through testing material advances and industry developments by Zoltan Weltsch, Tibor Cseke, Robert Kun

“…By examining the interrelationships between material selection (cathode, anode), cell design, testing protocols and regulatory environment, the study highlights the complex challenges and development directions for battery energy storage. …”
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Vigorous technique for augmented lifetime in WSNs by Sardar Jaffar Ali, Javed Iqbal, Faheem Khan, Yeon-Kug Moon

“…Existing solutions often address energy efficiency in isolation, failing to consider the complex interplay of factors affecting WSN performance. …”
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The analysis of strategic management decisions and corporate competitiveness based on artificial intelligence by Yang Pu, Hao Li, Wenjia Hou, Xingchen Pan

“…This work provides enterprises with an efficient and reliable decision-support tool, facilitating the maintenance of competitive advantages in complex and dynamic market environments.…”
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Colonial bacterial memetic algorithm and its application on a darts playing robot by Szilárd Kovács, Csaba Budai, János Botzheim

“…CBMA incorporates features like multi-level clustering, dynamic gene selection, hierarchical population clustering, and adaptive co-evolutionary mechanisms, enabling efficient management of task-specific parameters and optimizing solution quality while minimizing resource consumption. …”
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Simple and robust in vivo engineering of plasmid DNA at any copy number in Escherichia coli by Ana G. V. Sepulchro, Hendrikje C. J. Kozlowski, Morten H. H. Nørholm

“…Here, we present a robust methodology for plasmid recombineering in E. coli using a triple-selection system customized for efficient performance at any copy number. …”
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Detection of disease on nasal breath sound by new lightweight architecture: Using COVID-19 as an example by Jiayuan She, Lin Shi, Peiqi Li, Ziling Dong, Renxing Li, Shengkai Li, Liping Gu, Zhao Tong, Zhuochang Yang, Yajie Ji, Liang Feng, Jiangang Chen

“…Our Dense-ReLU-Dropout model, using RF and PCA for feature selection, achieves high accuracy with greater computational efficiency compared to existing methods that require more complex models or larger datasets. …”
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FORMALIZATION OF THE PROBLEM OF TRANSPORT LOGISTICS OPTIMIZATION NETWORKS AT THE STAGE OF REENGINEERING by Vladimir Beskorovainyi, Lyudmyla Kolesnyk, Dmytro Yevstrat

“…The practical use of the proposed complex of mathematical models will reduce the time and capacity complexity of project decision-making support technologies, and due to the use of the proposed options selection procedures, increase their quality based on a number of functional and cost indicators. …”
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Medical-psychological rehabilitation of the military men who have received wounds during carrying out of counterterrorist operation in Dagestan in 1999 by A. S. Ibragimova, A. M. Amirov

“…The preferable criteria during the selection of rehabilitative methods depending on the efficiency of the differentiated approach to their use, sequence and duration of the influence, combinability have been defined. …”
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Mobile Robot Path Planning Based on Enhanced Dynamic Window Approach and Improved A∗ Algorithm by Hongxia Yang, Xingqiang Teng

“…In the improved A∗ algorithm, in order to improve the algorithm efficiency, so that a single planning path can pass through multiple target points, the search point selection strategy and evaluation function are optimized. …”
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Comparing Nanofiltration and Ion Exchange for Reverse Osmosis Pretreatment in Industrial Water Treatment: A Techno-Economic Analysis by Harwin Harwin

“…Water softening is a crucial process in various industrial applications, and the selection of an appropriate system involves balancing technical efficiency, environmental impact, and economic considerations. …”
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Comparative Study of Algorithms for the Conversion From Surface Mesh Models to Volume Mesh Models by Youxi Wang, Qi Pang, Meng Li, Yang Liu

“…The results showed that the Frontal algorithm performed the best in the conversion of simple models with a CPU runtime of 0.001 s, while the Delaunay algorithm took relatively longer. For complex models, the Initial mesh, Delaunay, and Frontal algorithms were all successful in completing the conversion, but the HXT algorithm failed, highlighting the importance of algorithm selection. …”
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YOLO-Act: Unified Spatiotemporal Detection of Human Actions Across Multi-Frame Sequences by Nada Alzahrani, Ouiem Bchir, Mohamed Maher Ben Ismail

“…This paper introduces YOLO-Act, a novel spatiotemporal action detection model that enhances the object detection capabilities of YOLOv8 to efficiently manage complex action dynamics within video sequences. …”
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Gaseous hydrocarbons absorption by ILs: insights from artificial intelligence strategy by Reyhaneh Alborz, Mohammad Mahmoudnezhad, Alireza Baghban

“…Abstract Accurate prediction of hydrocarbon solubility in ionic liquids (ILs) is essential for optimizing solvent selection and designing efficient chemical processes in industries such as energy production and environmental remediation. …”
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Design and analysis of a single source seven level common ground SC based multilevel inverter topology with high reliability by Md Tahmid Hussain, Adil Sarwar, Md Reyaz Hussan, Mohd Tariq, Shafiq Ahmad, Farhad Ilahi Bakhsh, Mohammad Zaid, Adamali Shah Noor Mohamed, Baseem Khan

“…Existing multilevel inverter (MLI) topologies often suffer from high voltage stress, increased THD, and complex control requirements. This study aims to design a compact inverter with improved performance metrics, including efficiency, total harmonic distortion (THD), and voltage stress. …”
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An intelligent spam detection framework using fusion of spammer behavior and linguistic. by Amna Iqbal, Muhammad Younas, Muhammad Kashif Hanif, Muhammad Murad, Rabia Saleem, Muhammad Aater Javed

“…The problem statement of this research paper revolves around addressing challenges concerning feature selection and evolving spammer behavior and linguistic features, with the goal of devising an efficient model for spam detection. …”
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SPL-YOLOv8: A Lightweight Method for Rape Flower Cluster Detection and Counting Based on YOLOv8n by Yue Fang, Chenbo Yang, Jie Li, Jingmin Tu

“…First, the model introduces StarNet as a lightweight backbone network for efficient feature extraction, significantly reducing computational complexity and parameter counts. …”
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