Determining the Idle Mode of the Last Stages of Powerful Steam Turbines for Wet Steam Area by Senetskaya D.O., Senetskyi A.V.

“…The significance of the results obtained is that the proposed approach allows determining the idle mode of the low-pressure cylinder stages of steam turbines quickly and ac-curately during operation and design, which makes it possible to increase the efficiency and reli-ability of power units.…”
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Thermal optimization of nickel-carbon nanodots using neural network and numerical simulation by Sohail Ahmad, Hessa A. Alsalmah

“…The nonlinear governing problem is solved through the finite difference method and then further optimized and validated with a CNN-based model for enhanced accuracy and computational efficiency. The CNN model is trained on a data generated from numerical simulations, enabling efficient prediction of flow and thermal characteristics. …”
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Embracing E-Court Innovation: Advancing Maslahah Mursalah in Indonesia's Religious Courts by Eti Yusnita, Yuswalina, Muhammad Toriq

“…Digital transformation reflects the issue of ensuring more efficient and cost-effective services. Factors that influence include cost savings from paperless processes, the ability to file cases remotely, technological literacy issues, and internet connectivity challenges in some areas. …”
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Unified Power Flow Controller for PV Systems Using AI-Driven Power Quality Improvement Using Coupled Inductor Dual Boost Converter by Chindam A., IlanjiAkilandam C., DugyalaV.

“…Moreover, the converter ranks with improved efficiency of 88%, with improved voltage and current characteristics. …”
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Tomato ripeness detection method based on FasterNet block and attention mechanism by Ming Chen, Yixuan Xu, Wanxiang Qin, Yan Li, Jiyang Yu

“…To address this, this study proposes a tomato maturity detection model based on an improved YOLOv11n, incorporating the C3k2-Faster-EMA module to enhance the model's feature extraction capability and detection efficiency. In addition, the SimAM attention mechanism is introduced, enabling the model to intelligently focus on key features of the tomatoes, thereby improving its ability to recognize tomatoes at different maturity stages and enhancing detection accuracy. …”
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Fault Classification in Diesel Engines Based on Time-Domain Responses through Signal Processing and Convolutional Neural Network by Gabriel Hasmann Freire Moraes, Ronny Francis Ribeiro Junior, Guilherme Ferreira Gomes

“…In today’s interconnected industrial landscape, the ability to predict and monitor the operational status of equipment is crucial for maintaining efficiency and safety. …”
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Diagnosis of Alzheimer’s disease using brain $$^{18}\textrm{F}$$ -FDG PET imaging based on a state space model by Yufang Dong, Yonglin Chen, Zhe Jin, Xingbo Dong

“…This not only reduces the computational burden and enhances operational efficiency but also improves the model’s ability to capture global features. …”
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Novel Hybrid Deep Learning Model for Forecasting FOWT Power Output by Mohammad Barooni, Deniz Velioglu Sogut, Parviz Sedigh, Masoumeh Bahrami

“…A hybrid deep learning model combining Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks is proposed to predict the performance of FOWTs accurately and more efficiently than traditional numerical models. This model addresses computational complexity and lengthy processing times of conventional models, offering adaptability, scalability, and efficient handling of nonlinear dynamics. …”
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Fungal Biomass Fermentation: Valorizing the Food Industry’s Waste by Simas Borkertas, Jonas Viskelis, Pranas Viskelis, Paulina Streimikyte, Ugne Gasiunaite, Dalia Urbonaviciene

“…This fermentation method offers advantages like lower production costs, reduced waste disposal issues, and the efficient utilization of agricultural residues and fruit and vegetable by-products. …”
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Anthracene biodegradation capacity of newly isolated rhizospheric bacteria Bacillus cereus S13. by Nadia Bibi, Muhammad Hamayun, Sumera Afzal Khan, Amjad Iqbal, Badshah Islam, Farooq Shah, Muhammad Aaqil Khan, In-Jung Lee

“…The anthracene was degraded to 9, 10, dihydroxy-anthracene and anthraquinone, detected through GC-MS. The efficient bacterial isolate was identified as S13, a new strain of Bacillus cereus, using 16S rRNA analysis, showing 98% homology. …”
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SMPL Variable Model for 3D Reconstruction and Image Fusion in Animation Media Applications by Tian Xie, Kunpeng Zhao

“…Experimental results on datasets such as ShapeNet, ShapeNetCore, ABC, and Scan2CAD demonstrate that our approach surpasses current state-of-the-art methods in terms of accuracy, recall, F1 score, and AUC, while also achieving greater efficiency in both training and inference phases. This research not only delivers a more accurate and computationally efficient solution for 3D reconstruction but also contributes novel insights into multi-person interaction modeling and enhances generalization in real-world animation media applications.…”
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GPSOM: group-based particle swarm optimization with multiple strategies for engineering applications by Jialing Yan, Gang Hu, Heming Jia, Abdelazim G. Hussien, Laith Abualigah

“…GPSOM divides the population into three subgroups and adopts targeted strategies based on different phases: sub-swarm 1 focuses on exploration and improves population diversity and local search ability by dynamically adjusting operators; sub-swarm 2 focuses on exploitation, introducing sine cosine factors and adaptive mechanisms to traverse the solution space efficiently; sub-swarm 3 achieves global and local balance, generating high-quality solutions through adaptive factors and position adjustment operators. …”
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AN EVALUATION OF PHOTOVOLTAIC SYSTEMS MPPT TECHNIQUES UNDER THE CHARACTERISTICS OF OPERATIONAL CONDITIONS by I. A. Elzein, Yu. N. Petrenko

“…Precisely, PV systems are constituted from arrays of photovoltaic cells, choppers (mainly buck-boost or boost DC/DC converter), MPPT control systems and storage devices and/or grid connections. To improve the efficiency of such systems, various studies have been performed. …”
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Revolutionizing Sperm Analysis with AI: A Review of Computer-Aided Sperm Analysis Systems by Francisco J. Baldán, Diego García-Gil, Carlos Fernandez-Basso

“…Overall, this review outlines current innovations and future research directions essential for advancing personalized, efficient, and accessible fertility care.…”
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Physics-Informed Decoupled Calibration for Fourier Ptychographic Microscopy by Mingdi Liu, Junzhao Liang, Yanxiong Wu, Zicong Luo, Rui Xie, Jiaxiong Luo, Lisong Yan

“…Because this method is decoupled from phase recovery, single-round calibration parameters apply to diverse conditions, reducing error correction time by >67.7% and improving imaging efficiency by >60.1%. Experiments verify its ability to precisely calibrate LED positions, enhancing FPM robustness and laying a solid algorithmic foundation for efficient full-field error correction.…”
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A real-time mapping method for knowledge graph-driven large language models: a focus on indoor fire evacuations by Tianxin Wang, Ping Du, Pei Dang, Tao Liu, Pengpeng Li

“…Efficient indoor fire evacuations are crucial for protecting human life and property. …”
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A Distance-Encoded Bloom Filter for Fast NDN Name Lookup by Junghwan Kim, Myeong-Cheol Ko

“…Named data networking (NDN) is a content-centric network architecture that requires efficient name lookup to forward packets based on hierarchical content names. …”
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Research on the lightweight detection method of rail internal damage based on improved YOLOv8 by Xiaochun Wu, Shuzhan Yu

“…Abstract To address the challenges of high computational costs, large storage demands, and low detection accuracy in internal rail damage identification, we propose a lightweight detection model, GhostMicroNet-YOLOv8n, as an enhancement of YOLOv8n. This model offers efficient and reliable technical support for detecting and classifying internal rail damage in rail flaw detection tasks. …”
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Comprehensive review on the adsorption of pharmaceutical products from wastewater by clay materials by Oumaima Fraiha, Nouhaila Hadoudi, Najlae Zaki, Amin Salhi, Hassan Amhamdi, El Houssien Akichouh, Fouad Mourabit, M'hamed Ahari

“…This review highlights the application of a variety of adsorbents for efficient removal of pharmaceuticals from different media. …”
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Super-wideband antenna with modified elliptical-shaped for broad spectrum capability in software-defined radio applications by Fitri Yuli Zulkifli, Aditya Inzani Wahdiyat, Thooriq Maulana, Ali Hanafiah Rambe, Nurhayati Nurhayati

“…Experimental results demonstrate that the antenna operates efficiently over a broad frequency range of 0.42 to 35.96 GHz, achieving a remarkable bandwidth ratio of 1:85. …”
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