Impacts of farming and herding activities on land use and land cover changes in the north eastern corridor of Ghana: A comprehensive analysis by Nanii Yenibehit, Abubakari Abdulai, Joseph Amikuzuno, James Kofi Blay

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Modeling of Three-Dimensional Ocean Current Based on Ocean Current Big Data for Underwater Vehicles by Yicheng Wen, Xingfei Li, Hongyu Li, Yanchao Zou, Yiguang Yang, Jiayi Xu

“…The three interpolation algorithms’ data smoothness and computational times were contrasted. …”
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A Complementary Approach for Securing and Anti-Counterfeiting of Valuable Documents Based on Encryption of Computer-Generated Hologram by Zakaria E. Ahmed, Rania M. Abdelazeem, Yasser A. Attia, Tawfik A. Khattab, Claas Falldorf, Ralf B. Bergmann, Mostafa Agour

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Content oriented 3D-CNN sequence learning architecture for academic activities recognition using a realistic CAD dataset by Muhammad Wasim, Imran Ahmed, Naveed Abbas, Tanzila Saba, Faten S. Alamri, Alex Elyassih, Amjad Rehman

“…Abstract In computer vision, video analytic researchers have been developing techniques for human activity recognition in several application domains. …”
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Diagnosis and surgical treatment of complicated acute necrotizing pneumonia in children (literature review) by A.F. Halahan

“…The objective of this research is to conduct an analytical review of the literature on the etiopathogenesis, diagnosis, and treatment of this pathology to highlight the main problems in diagnosing and treating children with acute necrotizing pneumonia. …”
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Digital Sovereignty in times of AI: between perils of hegemonic agendas and possibilities of alternative approaches by Alexandre Costa-Barbosa, Bianca Herlo, Gesche Joost

“…Predominant perspectives often focus on state, market, or individual sovereignty over data, algorithms, and AI models. However, through document and discourse analysis, the article examines alternative approaches such as sustainable, grassroots, and feminist digital sovereignties and those led by communities or indigenous peoples. …”
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Quantitative structure-activity relationship study of some angiotensin-converting enzyme inhibitor drugs in the treatment of hypertension based on Monte Carlo optimization method by Shahram Lotfi, Shahin Ahmadi, Ali Azimi

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Trajectory Tracking in Autonomous Driving Based on Improved hp Adaptive Pseudospectral Method by Yingjie Liu, Qianqian Wang

“…As one of the core technologies of autonomous driving, path tracking control is directly related to the driving safety and comfort of vehicles and therefore has become a key research area of autonomous driving technology. In order to improve the reliability and control accuracy of path tracking algorithms, this paper proposed a path tracking control method based on the Gaussian pseudospectral method. …”
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KITE-DDI: A Knowledge Graph Integrated Transformer Model for Accurately Predicting Drug-Drug Interaction Events From Drug SMILES and Biomedical Knowledge Graph by Azwad Tamir, Jiann-Shiun Yuan

“…Hence, it is essential to identify all the DDI events before prescribing multiple drugs to a patient. Most contemporary research for predicting DDI events relies on either information from Biomedical Knowledge graphs (KG) or drug SMILES, with very few managing to merge data from both to make predictions, while others use heuristic algorithms to extract features from SMILES and KGs, which are then fed into a Deep Learning framework to generate output. …”
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Ensemble machine learning for predicting academic performance in STEM education by Aklilu Mandefro Messele

“…To tackle these issues, our research focused on developing a predictive model for STEM students using advanced ensemble machine learning algorithms. …”
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A Novel Main-Lobe Cancellation Method Based on a Single Notch Space Filter and Optimized Correlation Analysis Strategy by Jiazhi Zhang, Xin Zhang, Weibo Deng, Liang Guo, Qiang Yang

“…So the new efficient sea clutter suppression method is required, and the clutter characteristics analyses are also in urgent need of research in order to guide the design of the algorithm in the background of HFSSWR. …”
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Division of Multi-harmonic Responsibilities Based on DBSCAN Clustering and Interval Regression by Shilong CHEN, Tao WU, Cheng GUO, Zirui ZHANG, Jinghao SUN

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Collision Avoidance Behavior Mining Model Considering Encounter Scenarios by Shuzhe Chen, Chong Zhang, Lei Wu, Ziwei Wang, Wentao Wu, Shimeng Li, Haotian Gao

“…Addressing the existing issues of low precision and false detection in data mining algorithms, this paper proposes a collision avoidance behavior mining model considering encounter scenarios. …”
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Improving crop rotation classification using a random forest model incorporating spatial heterogeneity by Xiaomi Wang, Qi Tang, Kang Yang

“…In RF_RZS, the regionalization with dynamically constrained agglomerative clustering and partitioning method is used to adaptively mine the spatial homogeneous subzones of soil organic carbon (SOC), which represent the spatial heterogeneity pattern of crop rotation given the highly correlated relationship between crop rotation and SOC. The Boruta algorithm is employed to select the optimal feature subset within each subzone. …”
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Workpiece Coordinate System Measurement for a Robotic Timber Joinery Workflow by Francisco Quitral-Zapata, Rodrigo García-Alvarado, Alejandro Martínez-Rocamora, Luis Felipe González-Böhme

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Improving parking availability prediction in smart cities with IoT and ensemble-based model by Stéphane Cédric Koumetio Tekouabou, El Arbi Abdellaoui Alaoui, Walid Cherif, Hassan Silkan

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The application of virtual reality and augmented reality in dentistry – a literature review by Leelan Kanwal, Munnal Gulzar, Wafa Idrees, Fizzah Ikram, Rashna Hoshang Sukhia, Mubassar Fida

“…It highlights their diverse applications while identifying areas needing further research for effective integration into clinical practice. …”
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Modeling and Control for an Aerial Work Quadrotor with a Robotic Arm by Wenwu Zhu, Fanzeng Wu, Haibo Du, Lei Li, Yao Zhang

“…The innovative approach fills the gap in existing research where model expressions are incomplete and parameters are ambiguous. …”
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Predictive modeling of punchouts in continuously reinforced concrete pavement: a machine learning approach by Ghazi Al-Khateeb, Ali Alnaqbi, Waleed Zeiada

“…By employing the random forest algorithm, key predictors like age, climate zone, and total thickness are identified. …”
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Mission Sequence Model and Deep Reinforcement Learning-Based Replanning Method for Multi-Satellite Observation by Peiyan Li, Peixing Cui, Huiquan Wang

“…With the rapid increase in the number of Earth Observation Satellites (EOSs), research on autonomous mission scheduling has become increasingly critical for optimizing satellite sensor operations. …”
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