Coverage path planning considering the cell number and starting position by MA Mingyan, HUANG Sirong, DENG Renhui, WU Lei, HE Li

“…To address the inadequate adaptability of the traditional boustrophedon cellular decomposition in complex maps and to improve coverage efficiency, a complete coverage path planning method is proposed. …”
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Comprehensive Evaluation of the Massively Parallel Direct Simulation Monte Carlo Kernel “Stochastic Parallel Rarefied-Gas Time-Accurate Analyzer” in Rarefied Hypersonic Flows—Part... by Angelos Klothakis, Ioannis K. Nikolos

“…This method promises substantial improvements in computational efficiency and accuracy for complex hypersonic vehicle simulations.…”
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Achievements and prospects of applying high-throughput sequencing techniques to potato genetics and breeding by I. V. Bykova, N. A. Shmakov, D. A. Afonnikov, A. V. Kochetov, E. K. Khlestkina

“…In recent years, marker-assisted selection (MAS) has been intensively used to increase potato breeding efficiency. …”
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SiAkif-Bots: Gemini AI for Academic Service Chatbots by Bunga Laelatul Muna, Sudianto Sudianto, Muhammad Lulu Latif Usman

“…To overcome this challenge, a Telegram-based chatbot, "SiAkif," was developed using the Large Language Model (LLM) model from Gemini AI. Gemini AI's selection is based on its ability to understand complex conversational contexts and generate accurate and relevant responses. …”
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Numerical and experimental analysis of muzzle brake thermo-mechanical load by Nenad Miloradović, Dejan Jevtić

“…A comparative analysis of the brake’s working cycle, with and without projectile movement, revealed that the presence of a projectile significantly affects the temperature distribution and the maximum brake and compensator forces during the movement period, while its influence on forces impulses and brake efficiency is much smaller. This type of numerical analysis enables better optimization of brake design parameters and material selection for improved resistance and erosion prevention.…”
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Directions of the environmental protection processes optimization at heat power engineering enterprises by Hurets L. L., Kozii I. S., Miakaieva H. M.

“…The optimization of the environmental protection process involves the choice of the physical-chemical factors such as: thermodynamic, kinetic, mass- and heat-exchanging, hydrodynamic, influence parameters on the heterogeneous, complex systems. According to the results of the systems analysis of impact factors on the efficiency of environmental protection processes, it is suggested to optimize the cleaning equipment due to classified and structural parameters, which would allow design the systematic approaches to the selection of environmental protection equipment in future. …”
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Rootstock impacts on ‘USDA-ARS-Pawnee’ pecan growth, physiological traits, and soil microbial communities by Xinwang Wang, Keith Kubenka, Warren Chatwin, Angelyn Hilton, Braden Tondre, Tingying Xu, Lu Zhang

“…The superior growth of southern rootstocks suggests their potential for improving orchard productivity, while variations in PSR and WUE underscore the complex interactions between rootstocks and photosynthetic efficiency. …”
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A Review of Wavefront Sensing and Control Based on Data-Driven Methods by Ye Zhang, Qichang An, Min Yang, Lin Ma, Liang Wang

“…Therefore, the detection and correction of optical aberrations are crucial for efficient and accurate observations. …”
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Graph Neural Networks for Digital Pathology by Vincenzo DELLA MEA, Hafsa AKEBLI, Kevin ROITERO

“…GNNs are well-suited for analyzing data such as social networks, molecular structures, and medical images, capturing both local and global patterns. The complexity and high dimensionality of medical images make them suitable for analysis using GNNs, which can leverage the relationships between elements in the data, offering a more complex and complete analysis that can improve both the accuracy and efficiency of medical image processing tasks such as classification, segmentation, and detection of abnormalities. …”
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From radiolabeling to receptor quantification: preclinical assessment of [99mTc]Tc-carvedilol as a cardiac β-adrenoceptor probe by Hala F. Azhari

“…This study introduces a novel radiotracer, technetium-99m-labeled carvedilol ([99mTc]Tc-carvedilol), which advances non-invasive cardiac receptor evaluation by improving traceability and myocardial tissue selectivity. Aimed at strengthening diagnostic precision, it optimizes a selective radioligand for quantifying cardiac adrenergic receptor sites.Methods[99mTc]Tc-carvedilol was synthesized via direct radiolabeling with technetium-99m, key parameters were optimized to maximize radiolabeling efficiency and ensure a reliable and reproducible [99mTc]Tc-carvedilol complex. …”
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A Frequency-Aware Transformer for Multiscale Fault Diagnosis in Electrical Machines by Yurim Choi, Inwhee Joe

“…However, conventional fault diagnosis methods struggle to effectively capture complex time-frequency patterns, limiting their ability to perform early fault detection and accurate classification. …”
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Translational analysis of data science and causal learning in real-world clinical evaluation of traditional Chinese medicine by Wei Yang, Danhui Yi, XiaoHua Zhou, Yuanming Leng

“…Intelligent data science improves efficiency and accuracy for implementing RWCE-TCM. The proposed data science methodology for TCM can handle complex data, ensure high-quality RWD acquisition and analysis, and provide in-depth insights into clinical benefits of TCM. …”
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Complete Coverage Path Planning for Wind Turbine Blade Wall-Climbing Robots Based on Bio-Inspired Neural Networks and Energy Consumption Model by Da Chen, Gang Yu, Shuchen Huang

“…Wind turbine blades, being the most expensive and failure-prone components, directly affect operational stability and energy efficiency. The efficient and precise inspection of these blades is therefore essential to ensuring the sustainability and reliability of wind energy production. …”
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A Platform For Solar Energy An Alternative Source For Kabale District at Kabale University. by Amanya, Devis

“…In terms of cost, it is cheaper, less complex, and still achieves the required efficiency.…”
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Entropy-Based Emotion Recognition Using EEG Signals by Yeganeh Alidoost, Babak Mohammadzadeh Asl

“…By leveraging these advanced entropy-based methods, the proposed approach significantly enhances classification accuracy while maintaining computational efficiency. The method employs optimal channel selection and data balancing strategies to provide both superior EEG characterization and reduced computational times compared to other entropy-based methods. …”
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The necessity of the Black Sea region transport structure improvement by L.V. Nazarova

“…The second direction occurs when the LSPD has been already developed, so, its main purpose becomes the permanent monitoring of its state and providing necessary adjustments. The complex of qualitative and quantitative parameters, that reflect the efficiency of supply chains are also developed by the author. …”
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Extraction of thiacloprid from honey using aqueous biphasic systems based on potassium phosphate and ionic liquids by Marić Aleksandar Z., Jovanov Pavle T., Sakač Marijana B., Radić Bojana Đ., Đermanović Branislava B., Gadžurić Slobodan B.

“…Conventional extraction techniques are often complex and time-consuming, highlighting the need for more efficient methods. …”
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Research on cardiac image segmentation algorithm based on improved level set modeling by Shuaishuai ZHANG, Ruixia LIU, Ke SHAN, Zhenhua GUO

“…However, the uneven grayscale of images and the symbolic distance function in the gradient descent method lead to issues such as computational complexity and high computational cost during segmentation. …”
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Design and Simulation of Magnetic Shielding Structure Based on Closed-Loop TMR Current Sensor by Qiuyang Li, Suqin Xiong, Shuo Wang, Xianguang Dong, Haifeng Zhang

“…This research provides important theoretical and practical insights for applying high-precision TMR current sensors in complex electromagnetic environments.…”
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Node Classification Method Based on Hierarchical Hypergraph Neural Network by Feng Xu, Wanyue Xiong, Zizhu Fan, Licheng Sun

“…Hypergraph neural networks have gained widespread attention due to their effectiveness in handling graph-structured data with complex relationships and multi-dimensional interactions. …”
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