Analysis of Pharmaceutical Active Compounds in Complex Water Samples: Sample Filtration as an Option by Sofia Silva, João Rodrigues, Vitor V. Cardoso, Rui N. Carneiro, Cristina M. M. Almeida

“…This can be especially difficult when working with complex matrices such as natural waters and wastewater. …”
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Design and performance investigation for substrate filler in protected horticulture by WEI Yuyong, LU Jun, SHENG Kuichuan, QIAN Xiangqun, SHEN Junfeng

“…Furthermore, automatic feeding device is complex and expensive in the fierce competition in the growing market. …”
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OFF-PEAK WATER DISPERSAL BASED ON STEAM SELECTING OF NPP ENERGY BLOCKS WITH PWR by V. A. Khrustalev, B. M. Suchkov

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Intrusion detection system based on machine learning using least square support vector machine by Pratik Waghmode, Manideep Kanumuri, Hosam El-Ocla, Tanner Boyle

“…In addition, our model demonstrates competitive testing time efficiency in 2.8 s for NSL-KDD, 1.0s for CIC-IDS-2017, and 2.8s for UNSW-NB15. …”
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Synergistic feature selection and distributed classification framework for high-dimensional medical data analysis by D. Dhinakaran, L. Srinivasan, S. Edwin Raja, K. Valarmathi, M. Gomathy Nayagam

“…Feature selection and classification efficiency and accuracy are key to improving decision-making regarding medical data analysis. …”
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Construction of New Ion Selective Electrodes for Determination Fe(III) and Their Application in Pharmaceutical samples by Baghdad Science Journal

“…The selectivity coefficient interferences of (K+, Na+, Cu+2, Mn+2, Zn2+, Al3+,Folic acid) were studied using separate and mixed methods for selectivity coefficient determination. …”
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The Research Directed to Results of Activity of the Federal Innovative Platforms Forming Professional Competences of the Sphere of the State and Municipal Procurement Assessment by V. A. Shamakhov, L. G. Karanatova, A. M. Kuzmina

“…Results of the complex research directed to assessment of results of activity of the federal innovative platforms providing professional development and professional retraining of experts in the sphere of purchases of goods (works, services) for the state and municipal needs, conducted on the basis of the developed scientific and methodical model of monitoring of efficiency of their activity with use of technological tools for collecting, the analysis and data storage are presented in this article. …”
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Flexible Job Shop Scheduling Optimization Using Genetic Algorithm For Handling Dynamic Factors by Masmur Tarigan, Ford Lumban Gaol, Tuga Mauritsius, Widodo Budiharto

“…Empirical results demonstrate that GASS achieves up to a 45.3% reduction in makespan within the flexible packaging industry, showcasing its ability to enhance scheduling efficiency and adaptability. The research highlights the system’s scalability and potential applicability across diverse industries, including printing, electronics, pharmaceuticals, and food manufacturing, where operational flexibility and efficiency are critical. …”
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RDSM: Underwater multi-AUV relay deployment and selection mechanism in 3D space by Yafei Liu, Na Liu, Hao Li, Yi Jiang, Junwu zhu

“…This strategy is innovative in improving relay selection efficiency and optimizing network performance. …”
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ASAD: A Meta Learning-Based Auto-Selective Approach and Tool for Anomaly Detection by Nadia Rashid, Rashid Mehmood, Fahad Alqurashi, Saad Alqahtany, Juan M. Corchado

“…By automating the selection process, the method aims to reduce the reliance on trial-and-error methods, streamline the anomaly detection workflow, and lead to more robust, adaptable, and efficient anomaly detection systems. …”
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Selective Separation of Scandium in Acidic Water Using Carboxyl Functionalized Covalent Phosphonitrile Polymers by Yu BAI, Ayinuer WUSHUER, Lei OUYANG, Lijin HUANG, Qin SHUAI

“…Considering that acid treatment is often required when processing raw materials such as Sc containing tailings, it is crucial to prepare adsorbents that can efficiently and selectively recover Sc(III) in acidic media.　　…”
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Vehicle detection method based on multi-layer selective feature for UAV aerial images by Yinbao Ma, Yuyu Meng, Jiuyuan Huo

“…However, this task remains challenging due to variable high-altitude viewpoints, complex environmental interference, and limitations in algorithmic efficiency. …”
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USING THE GENERAL ELECTRIC / MCKINSEY MATRIX IN THE PROCESS OF SELECTING THE CENTRAL AND EAST EUROPEAN MARKETS by Nicolae Răzvan Decuseară

“…Due to the large number and diversity of markets that can choose, analyze of the market attractiveness and the selection the most interesting is a complex process. …”
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A Review on Pyroprocessing Techniques for Selected Wastes Used for Blended Cement Production Applications by Protus Nalobile, Jackson Muthengia Wachira, Joseph Karanja Thiong’o, Joseph Mwiti Marangu

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Deep Ensemble Learning for Application Traffic Classification Using Differential Model Selection Technique by Ui-Jun Baek, Yoon-Seong Jang, Ju-Sung Kim, Yang-Seo Choi, Myung-Sup Kim

“…However, achieving accuracy while maintaining time-efficiency and high generalization performance remains a challenge. …”
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Complex Path Planning for Manipulators Based on an Improved NSGA-III Algorithm With Hopfield Network by Xiaoxiang Sun, Jue Wang, Wei Wang

“…To enhance planning efficiency and convergence accuracy, this paper proposes an improved NSGA-III multi-objective optimization algorithm based on Hopfield neural network. …”
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PCMINN: A GPU-Accelerated Conditional Mutual Information-Based Feature Selection Method by Nikolaos Papaioannou, Georgios Myllis, Alkiviadis Tsimpiris, Stamatis Aggelopoulos, Vasiliki Vrana

“…The parallelized approach allows for the efficient processing of large datasets, making PCMINN a valuable tool for high-dimensional feature selection tasks. …”
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Fermatean Fuzzy CRADIS Approach Based on Triangular Divergence for Selecting Online Shopping Platform by Mijanur Rahaman Seikh, Arnab Mukherjee

“…By leveraging the CRADIS method alongside Fermatean fuzzy set theory, decision-makers can navigate the complex landscape of online shopping platforms with greater confidence and efficiency, ultimately leading to more satisfactory outcomes for both consumers and businessesalike.…”
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Federated Learning for Fall Detection With Multimodal Residual Fusion and Pareto-Optimized Client Selection by Bao-Quan Wang, Fan Yang, Yi Wang, Fan Zhao, Yun-Fei Han, Yu-Peng Ma

“…Finally, a Pareto-optimized client selection method is introduced to efficiently select reliable clients for global aggregation, ensuring both the stability and robustness of the global model. …”
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Patient-specific vascular models for optimal catheter selection: Two aneurysm embolization cases by Ryo Morita, MD, PhD, Daisuke Abo, MD, PhD, Takaaki Fujii, MD, Naoya Kinota, MD, Daisuke Kato, MD, Kouji Yamasaki, MD, Motoma Kanaya, MD, Taisuke Harada, MD, PhD, Osamu Sugita, Ph.D, Norio Kawamura, MD, PhD, Akinobu Taketomi, MD, PhD, Kohsuke Kudo, MD, PhD

“…Patient-specific vascular models enhance preoperative planning in interventional radiology, particularly in complex and anatomically challenging cases. This report presents two cases of complex aneurysm coil embolization in which three-dimensional, printed, patient-specific vascular hollow models were key to selecting optimal catheters, leading to successful interventions. …”
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