APPLICATION OF COGENERATION IN REPUBLIC OF MOLDOVA by Maximuk E.P.

“…In addition, it allows putting down the heat energy tariff, improving the standard of living of Moldavian people and competitive ability of Moldavian wares. Later the gas engine cogeneration plants can be transformed in the modern three-generation plants, and supplemented by the best high efficient renewable fuels technologies.…”
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Image Retrieval Model Analysis of Digital Library Based on Texture Characteristics by Yu Zhao

“…Taking the descriptor as the clue, the content characteristics of the document image are combined organically, and appropriate similarity measurement criteria are used for efficient retrieval. Experimental results show that the algorithm not only has high retrieval efficiency but also reduces the complexity of the traditional document image retrieval algorithm.…”
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Federated Learning for a Dynamic Edge: A Modular and Resilient Approach by Leonardo Almeida, Rafael Teixeira, Gabriele Baldoni, Mário Antunes, Rui L. Aguiar

“…Results demonstrate the framework’s ability to integrate different communication protocols and FL paradigms, showing that protocol choice significantly impacts performance, particularly in high-volume communication scenarios, with Zenoh and MQTT exhibiting lower overhead than Kafka in tested configurations, and Zenoh emerging as the most efficient communication option. …”
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Design Analysis and Optimization of Coil Spring for Three-Wheeler Vehicles Using Composite Materials by Solomon Nigusu Abera, Bisrat Yoseph Gebreyesus

“…The study highlights the ability of carbon/carbon nanotube/epoxy composite springs to significantly reduce weight, enhance efficiency, and extend fatigue life, making them a promising alternative for next-generation vehicle suspension systems.…”
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Cationic Lipid Derived from a Basic Amino Acid: Design and Synthesis by Diana M. Bravo-Estupiñan, Mariela Montaño-Samaniego, Rodrigo A. Mora-Rodríguez, Miguel Ibáñez-Hernández

“…However, to date, no transfection method is 100% safe and efficient. Within the spectrum of non-viral genetic vectors, cationic liposomes formed by cationic lipids stand out for their ability to protect and deliver therapeutic NA. …”
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Risk Prediction of Coal and Gas Outburst Based on Abnormal Gas Concentration in Blasting Driving Face by Liming Qiu, Yujie Peng, Dazhao Song

“…Using the prediction model, 28 times of jet holes and 1 small outburst event are predicted successfully, and the efficiency of the prediction model is 76.39%. By this technology, the utilization rate of gas information is improved, and the relationship between the change characteristics of gas concentration after blasting and the risk of coal seam outburst is established, which is of significant for improving the prediction accuracy and risk management ability of coal and gas outburst.…”
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RSNet: Compact-Align Detection Head Embedded Lightweight Network for Small Object Detection in Remote Sensing by Qing Dong, Tianxin Han, Gang Wu, Baiyou Qiao, Lina Sun

“…These findings confirm RSNet’s ability to balance high detection accuracy with computational efficiency, making it highly suitable for real-time applications on resource-constrained platforms such as satellite-based remote sensing systems or edge computing devices used in remote sensing applications.…”
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Full-waveform Small-footprint LiDAR Multi-target Echo Waveform Lightweight Detection by Spatio-temporal Coupling Models by Zhen XIAO, Yanfeng GU, Yanze JIANG, Xian LI

“…Small-footprint full-waveform Light Detection And Ranging (LiDAR) exhibits significant application potential owing to its high penetration capability and ability to capture complete echo data. However, the efficient and accurate processing of massive echo signals remains a crucial challenge for practical use, particularly in advancing waveform decomposition technology. …”
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Metaheuristic-Based Cepstral Sensing Technique for Prolonging Network Lifetime and Mitigating Primary User Emulation Attacks in Cognitive Radio Sensor Network by V. Abilasha, A. Karthikeyan

“…Extensive simulations are used to analyze the proposed algorithm, incorporating important performance parameters including error probability, energy efficiency, residual energy, data gathering efficiency, network longevity, and throughput. …”
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Thermal performance analysis of gas turbine power plant using soft computing techniques: a review by Ravindra S. Surase, Ramakrishna Konijeti, Ramchandra P. Chopade

“…Gas turbines are pivotal in electricity generation and industry, prized for their efficiency and flexibility in meeting diverse power needs. …”
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The Design and Optimization of Additively Manufactured Windings Utilizing Data Driven Algorithms for Minimal Loss in Electric Machines by John McKay, Jill Miscandlon, Tatyana Konkova

“…PM electrical machines exhibit high power density, high operating efficiency and high torque to current ratio, whilst remaining robust and fault tolerant. …”
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Data-driven support for smart renewal of urban neighbourhoods by Spela VEROVSEK, Matevz JUVANCIC, Tadeja ZUPANCIC

“…To establish the described assessment model two main research pillars are addressed: 1) the development of the structured and modular system of indicators; and 2) the development of the methodology to interpret the resulting values (efficiency, ability and productivity on different levels of human activity). …”
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Microalgae-Assisted Microbial Fuel Cell for Treatment of Difficult Waste Streams by Paulina Rusanowska, Marcin Dębowski, Marcin Zieliński

“…The generation of high current density is linked to the efficient electron transfer to the anode via the anodic biofilm and the high photosynthetic activity of the microalgae cultivated in the cathode chamber. …”
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GenSDF: An MPI-Fortran based signed-distance-field generator for computational fluid dynamics applications by Akshay Patil, Udhaya Chandiran Krishnan Paranjothi, Clara García-Sánchez

“…This paper presents a highly efficient signed-distance field (SDF) generator designed specifically for computational fluid dynamics (CFD) workflows. …”
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DANCER: The routing algorithm in delay tolerant networks based on dynamic and polymorphic combination of dimensions and energy consideration by Jianxin Jia, Guangzhong Liu, Dezhi Han

“…Due to these constraints, efficient routing in delay tolerant networks is a tough task. …”
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Fault diagnosis method of telecom cloud platform based on deep CNN model by Qingpu Hu, Jian Hu

“…In addition, under low noise conditions (signal-to-noise ratio>6), the accuracy of the WCNN model is further improved to 99.3 %, and the model complexity is reduced by 42 % compared to traditional convolutional neural networks, resulting in a 30 % increase in computational efficiency. The research has verified the anti-interference ability and feature preservation advantages of the WCNN model in strong noise environments, providing an efficient solution for fault diagnosis in telecommunications cloud platforms.…”
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Enhancing AI-driven forecasting of diabetes burden: a comparative analysis of deep learning and statistical models by Rasool Esmaeilyfard, Mohsen Bayati

“…This study evaluates the trade-offs between predictive accuracy, robustness, and computational efficiency in diabetes forecasting. Four forecasting models were selected based on their ability to capture temporal dependencies and handle missing healthcare data: Transformer with Variational Autoencoder (VAE), Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), and AutoRegressive Integrated Moving Average (ARIMA). …”
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SR-DETR: Target Detection in Maritime Rescue from UAV Imagery by Yuling Liu, Yan Wei

“…Specifically, the conventional multi-head self-attention (MHSA) mechanism is replaced with Efficient Additive Attention (EAA), which facilitates more efficient feature interaction while substantially reducing computational complexity. …”
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Aquatic therapy for spastic cerebral palsy: a scoping review by Aomeng Xiang, Yanxin Fu, Chengshuo Wang, Dan Huang, Jingman Qi, Ruoxuan Zhao, Liang Wu, Chunliang Fan, Qin Zhang

“…Results 18 articles were included and analyzed. The gross motor ability of patients with spastic CP improved significantly after AT, and walking efficiency was improved; muscle strength showed significant improvement, enhancing the ability to perform daily activities and quality of life. …”
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Optimized Green Unrelated Parallel Machine Scheduling Problem Subject to Preventive Maintenance by Najat Almasarwah

“…Manufacturing areas typically conduct machine maintenance to prevent early failures and to ensure a safe working environment and efficient production. In this study, the green unrelated parallel machine scheduling problem (GUPMSP) is studied. …”
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