Detection of AI-Generated Texts: A Bi-LSTM and Attention-Based Approach by John Blake, Abu Saleh Musa Miah, Krzysztof Kredens, Jungpil Shin

“…This underscores the urgent need for robust detection mechanisms to ensure information quality, maintain trust, and preserve the integrity of research publications. Our proposed model outperformed existing algorithms for accuracy with less computational complexity. …”
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Dynamic truck and trailer routing problem for last mile distribution in disaster response by Meilinda F.N. Maghfiroh, Shinya Hanaoka

“…Design/methodology/approach – The modified simulated annealing algorithm with variable neighborhood search for local search is used to solve the last mile distribution model based on the criterion of total travel time. …”
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Optimization for Nonlinear Uncertain Switched Stochastic Systems with Initial State Difference in Batch Culture Process by Jinlong Yuan, Jun Xie, Honglei Xu, Enmin Feng, Zhilong Xiu

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Germline variants of the MMR/EPCAM genes in Russian patients with Lynch syndrome by Aleksey S. Tsukanov, Aleksey A. Barinov, Vitaly P. Shubin, Anna N. Loginova, Dmitry Yu. Pikunov, Dmitry G. Shakhmatov, Yuri A. Shelygin, Sergey I. Achkasov

“…Methods — The study included data on pathogenic and likely pathogenic variants in the MMR/EPCAM genes collected from the local Registry of Hereditary Colorectal Cancer of Ryzhikh National Medical Research Centre for Coloproctology (RNMRCC). …”
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Improving the efficiency of adsorption filters with a short diffuser by improving their flow part by A. S. Korneeva, N. Yu. Filkin

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Human resources in a healthcare institution as the management efficacy improvement factor by A. V. Kukurika

“…The article analyzes the current HR of the local healthcare organization. There was carried a SWOT-analysis of personnel management has been out, disclosed the main problems of the management system of a medical institution. …”
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A Metaheuristic Approach for a Two-dimensional Fuzzy Version of the Variable Size and Cost Bin Packing Problem by Jorge Herrera Franklin, Alejandro Rosete, Guillermo Sosa-Gómez, Omar Rojas

“…To demonstrate the efficacy of our proposed solution, we utilized two well-known multi-objective evolutionary P-metaheuristics (Multi-Objective Genetic Algorithm and NSGA-II) and two S-metaheuristics (Multi-Objective Local Search and Ulungu Multi-Objective Simulated Annealing) specifically tailored for the fuzzy version of the VSCBPP. …”
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Hand-aware graph convolution network for skeleton-based sign language recognition by Juan Song, Huixuechun Wang, Jianan Li, Jian Zheng, Zhifu Zhao, Qingshan Li

“…Skeleton-based sign language recognition (SLR) is a challenging research area mainly due to the fast and complex hand movement. …”
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Cutting guides in mandibular tumor ablation: Are we as accurate as we think? by Omar Suhaym, Loren Moles, Nicholas Callahan

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Application of Object Based Image Classification Using Orthophotos: A Case Study of the Van-Erciş Earthquake by Aslı Sabuncu, Filiz Sunar

“…In the segmentation phase, the multi-resolution algorithm was utilized. After doing different trials, the most suitable shape factor and compactness values were considered. …”
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Progressive multi-scale multi-attention fusion for hyperspectral image classification by Hu Wang, Sixiang Quan, Jun Liu, Hai Xiao, Yingying Peng, Zhihui Wang, Huali Li

“…The effective extraction of features using deep neural networks, followed by the design of efficient and high-precision network algorithm structures, has gradually become a research hotspot. …”
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Predicting the Spatial Distribution of Geological Hazards in Southern Sichuan, China, Using Machine Learning and ArcGIS by Ruizhi Zhang, Dayong Zhang, Bo Shu, Yang Chen

“…Geological hazards in Southern Sichuan have become increasingly frequent, posing severe risks to local communities and infrastructure. This study aims to predict the spatial distribution of potential geological hazards using machine learning models and ArcGIS-based spatial analysis. …”
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Predictive model to identify multiple synergistic effects of geriatric syndromes on quality of life in older adults: a hospital-based pilot study by Chien-Chou Su, Yung-Chen Yu, Deng-Chi Yang

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Vectorized building rooftop prints of the Qinghai-Tibetan Plateau and its neighboring regions by Tao Ye, Hongyu Shan, Jidong Wu, Qiang Zhou, Mingfu Ma, Wenzhi Zhao, Ru Ya, Yuan Gao, Lizheng Wu

“…Abstract Large-scale high-precision building distribution data is important fundation for regional urban planning and resource allocation and disaster risk research. The Qinghai-Tibetan Plateau is the third pole of the world. …”
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CeiTEA: Adaptive Hierarchy of Single Cells with Topological Entropy by Bowen Tan, Shiying Li, Mengbo Wang, Shuai Cheng Li

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Enhancing multiclass brain tumor diagnosis using SVM and innovative feature extraction techniques by Mustafa Basthikodi, M. Chaithrashree, B. M. Ahamed Shafeeq, Ananth Prabhu Gurpur

“…Abstract In the field of medical imaging, accurately classifying brain tumors remains a significant challenge because of the visual similarities among different tumor types. This research addresses the challenge of multiclass categorization by employing Support Vector Machine (SVM) as the core classification algorithm and analyzing its performance in conjunction with feature extraction techniques such as Histogram of Oriented Gradients (HOG) and Local Binary Pattern (LBP), as well as the dimensionality reduction technique, Principal Component Analysis (PCA). …”
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Phenotypic variation in otolith shape of American shad across eastern North American rivers by Joana Vasconcelos, Karin E. Limburg, José Luis Oterro-Ferrer, Víctor M. Tuset

“…Using a wavelet transform framework based on the à trous algorithm and B3-spline wavelet, we quantified otolith shape variability and assessed its effectiveness for population discrimination. …”
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SwinFishNet: A Swin Transformer-based approach for automatic fish species classification using transfer learning. by Ebru Ergün

“…The ST's unique ability to capture both local and global features through its hierarchical structure enhances its effectiveness in complex image classification tasks. …”
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A Reactive Power Partitioning Method Considering Source–Load Correlation and Regional Coupling Degrees by Jiazheng Ding, Xiaoyang Xu, Fengqiang Deng

“…Simulation results demonstrate that in practical case studies, compared with traditional partitioning schemes, the proposed method reduces the regional coupling degree metric by 4.216% and enhances the regional reactive power imbalance index suppression by 11.082%, validating its effectiveness in achieving reactive power local balance and reactive power partitioning. This research breaks through the theoretical limitations of static partitioning and provides theoretical support for dynamic zonal control in modern power systems with high renewable penetration.…”
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Energy distribution and chaotic pressure pulsation analysis of vortex ropes in Francis-99 by Puxi Li, Jiahao Lu, Ran Tao, Ruofu Xiao, Bin Ji, Fujun Wang

“…Employing the local entropy generation rate (LEGR) method and chaos theory, we scrutinize the behaviour of vortex ropes and their resultant pressure fluctuations. …”
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