Research status of gearboxes for high-power nuclear power circulation pumps by WEI Fude, WANG Huanhuan, YANG Shuncheng

“…Many scholars are committed to in-depth research on high-power nuclear power circulating pump gearboxes from the perspectives of dynamics, mechanical design, big data, optimization algorithms, etc., in response to the above-mentioned issues. …”
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Integrating Machine Learning and Material Feeding Systems for Competitive Advantage in Manufacturing by Müge Sinem Çağlayan, Aslı Aksoy

“…Material feeding systems are of pivotal importance in the optimization of productivity, with attendant improvements in quality, reduction of costs, and minimization of delivery times. …”
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An investigation into the zoning of ecosystem sensitivity control areas in Mentougou District (Beijing, China). by Xiaodan Li, Haoyu Tao, Jing Li, Zhen Liu, Zhiping Liu

“…This method significantly improves the accuracy and scientific credibility of ecosystem sensitivity zoning, providing a versatile approach to meet the varied zoning needs of different regions. …”
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Dynamic load balancing in cloud computing using predictive graph networks and adaptive neural scheduling by K. Rajammal, M. Chinnadurai

“…Experimental evaluations of the proposed model with diverse workload scenarios demonstrate significant improvements in terms of throughput, energy efficiency, make span and response time. …”
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Towards a multi-modal Deep Learning Architecture for User Modeling by Ange Tato, Roger Nkambou

“…This proposed solution can be applied in various contexts where user modeling using multi-modal data is critical for improving the user experience.…”
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An Analysis of Intelligent Turkish Text Classification Models for Routing Calls in Call Centers: A Case Study on the Republic of Turkiye Ministry of Trade Call Center by Muammer Özdemir, Yasin Ortakcı

“…The proposed solution not only improves the efficiency of MTCC's call routing but also provides researchers with practical insights regarding Turkish text classification. …”
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Development and Evaluation of Neural Network Architectures for Model Predictive Control of Building Thermal Systems by Jevgenijs Telicko, Andris Krumins, Agris Nikitenko

“…One of the key directions for improving building performance is the optimization of building control systems. …”
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Comprehensive Review of Vehicle-to-Grid Technology Effect on Frequency Stability in Electric Power Systems by Citra Dewi, Adrianti Adrianti, Muhammad Nasir

“…The conclusions help to better understand the prospects for improving V2G towards more accurate support for frequency stability in transition to sustainable energy systems.…”
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Circadian rhythms of cardiac troponins: mechanisms and clinical significance by A. M. Chaulin, P. D. Duplyakova, D. V. Duplyakov

“…Modern laboratory methods for determining biomarkers of cardiovascular diseases are highly sensitive and can detect almost single molecules in human biological fluids, significantly speeding up and improving the diagnosis of cardiovascular diseases. …”
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A new representation in genetic programming with hybrid feature ranking criterion for high-dimensional feature selection by Jiayi Li, Fan Zhang, Jianbin Ma

“…Abstract Feature selection is a common method for improving classification performance. Selecting features for high-dimensional data is challenging due to the large search space. …”
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A Review of Artificial Intelligence Applications in Predicting Faults in Electrical Machines by Mathew Habyarimana, Abayomi A. Adebiyi

“…This review highlights the revolutionary potential of artificial intelligence (AI) in improving the sustainability, efficiency, and dependability of electrical machine systems, especially in the context of rotating machines, by addressing existing constraints and suggesting future research routes.…”
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Modeling Particle Transport in Astrophysical Outflows and Simulations of Associated Emissions from Hadronic Microquasar Jets by D. A. Papadopoulos, O. T. Kosmas, S. Ganatsios

“…In this work, after improving the formulation of the model on particle transport within astrophysical plasma outflows and constructing the appropriate algorithms, we test the reliability and effectiveness of our method through numerical simulations on well-studied galactic microquasars as the SS 433 and the Cyg X-1 systems. …”
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Leveraging Agent-Based Modeling and IoT for Enhanced E-Commerce Strategies by Mohamed Shili, Sajid Anwar

“…The key objective is to create a multi-agent system that optimizes interactions between IoT devices and e-commerce systems, thereby improving operational efficiency, adaptability, and user experience in online transactions. …”
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Optimized window functions for spectral analysis based on digital filters by R.V. Petrosian

“…The article addresses a relevant issue of improving the accuracy of spectral analysis in computerized systems by optimizing window functions used in the Discrete Fourier Transform (DFT). …”
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Spatiotemporal Analysis of Multi-UAV Persistent Search and Retrieval with Stochastic Target Appearance by Ryan Day, John L. Salmon

“…Traditional approaches that rely on single aggregate effectiveness measures for a scenario fail to capture the complex spatiotemporal dynamics of multi-UAV operations and provide limited insights into improving search performance. To address these limitations, we present a comprehensive analysis framework combining temporal and spatial analysis techniques. …”
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Enhanced YOLOv8 with lightweight and efficient detection head for for detecting rice leaf diseases by Bo Gan, Guolin Pu, Weiyin Xing, Lianfang Wang, Shu Liang

“…While YOLO object detection algorithms show strong performance in automated detection, their feature extraction capabilities remain limited in complex agricultural settings. …”
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Optimized Quality of Service for Real-Time Wireless Sensor Networks Using a Partitioning Multipath Routing Approach by Mohammed Zaki Hasan, Tat-Chee Wan

“…The proposed approach significantly improves the network lifetime, while reducing energy consumption and decreasing average end-to-end delays within the sensor network via optimised resource sharing in intermediate nodes compared with existing routing algorithms.…”
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Expanding kinetoplastid genome annotation through protein structure comparison. by Juan Manuel Trinidad-Barnech, José Sotelo-Silveira, Darío Fernández Do Porto, Pablo Smircich

“…Our pipeline enabled the assignment of structural similarity to a substantial portion of kinetoplastid proteins, improving current knowledge through annotation transfer. …”
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Volatolomics for Anticipated Diagnosis of Cancers with Chemoresistive Vapour Sensors: A Review by Abhishek Sachan, Mickaël Castro, Jean-François Feller

“…The purpose of this review is to provide a statement of the blocs composing the diagnostic chain to identify the improvements still needed. Nanocomposite chemo-resistive transducers have unique prospects to enhance both the selectivity and sensitivity to volatile biomarkers. …”
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Analysis on Acoustic Disturbance Signals Expected During Partial Discharge Measurements in Power Transformers by Michał KUNICKI

“…Finally, observed properties also provide a solid basis for establishing or improving complete classification method based on the artificial intelligence algorithms.…”
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