A Structured Cleaving Mesh for Bioheat Transfer Application by Rohan Amare, Amir A. Bahadori, Steven Eckels

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Construction of an Intelligent Analysis System for Crop Health Status Based on Drone Remote Sensing Data and CNN by Haolin Yang, Peilong Xu, Shengtian Zhang, Hyeonseok Kim, Incheol Shin

“…The translated image enhanced the dataset and improved recognition accuracy and convergence speed. …”
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Optimized Flare Performance Analysis Through Multi-Modal Machine Learning and Temporal Standard Deviation Enhancements by Said Boumaraf, Pengfei Li, Muaz Al Radi, Fares Oussama Abdelhafez, Abderaouf Behouch, Khalid Yousef Al Awadhi, Hamad Karki, Sajid Javed, Jorge Dias, Naoufel Werghi

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A Radio Frequency Interference Screening Framework—From Quick-Look Detection Using Statistics-Assisted Network to Raw Echo Tracing by Jiayuan Shen, Bing Han, Yang Li, Zongxu Pan, Di Yin, Yugang Feng, Guangzuo Li

“…By combining the statistics-assisted network with the sliding-window algorithm and the error-tolerant training strategy, it is possible to accurately detect and locate RFI in the quick looks of an SLC product. Then, through the analysis of the TOPSAR imaging principle, the position of the RFI in the SLC image is preliminarily confirmed. …”
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ANALYSIS OF REMOTE SENSING DATA PERTAINING TO DEBRIS FLOWS: INSIGHTS FROM SELECTED DRAINAGE BASINS IN BULGARIA by Ilia Tamburadzhiev

“…A complex debris flow susceptibility analysis was carried out. …”
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Underwater SLAM Meets Deep Learning: Challenges, Multi-Sensor Integration, and Future Directions by Mohamed Heshmat, Lyes Saad Saoud, Muayad Abujabal, Atif Sultan, Mahmoud Elmezain, Lakmal Seneviratne, Irfan Hussain

“…DL techniques enhance underwater SLAM by improving feature extraction, image denoising, distortion correction, and sensor fusion. …”
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Spatio-temporal analysis of agroforestry systems in hotan using multi-source remote sensing and deep learning by Wenqi Kou, Zhanfeng Shen, Yihan Zhang, Haoyu Wang, Pengfei Ji, Lan Huang, Chi Zhang, Yubo Ma

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Qualitative analysis of edible oil mixture for omega-3 content using terahertz time-domain spectroscopy by Lan-Hee Yang, Inhee Maeng, Sanggu Lee, Kwangsung Kim, Young Bin Ji, Hyeon Sang Bark, Hee Jun Shin, Seung Jae Oh

“…Perilla oil mixtures were quantitatively analyzed using complex dielectric constants in the THz frequency region. …”
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Intrinsic brain mapping of cognitive abilities: A multiple-dataset study on intelligence and its components by Simone Di Plinio, Mauro Gianni Perrucci, Grazia Ferrara, Maria Rita Sergi, Marco Tommasi, Mariavittoria Martino, Aristide Saggino, Sjoerd JH Ebisch

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PINNing cerebral blood flow: analysis of perfusion MRI in infants using physics-informed neural networks by Christoforos Galazis, Christoforos Galazis, Ching-En Chiu, Ching-En Chiu, Tomoki Arichi, Anil A. Bharath, Anil A. Bharath, Marta Varela, Marta Varela

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Characteristics of Cerebral Cortical Structural Alterations in Female Patients with Systemic Lupus Erythematosus Without Major Neuropsychiatric Manifestations Accompanied by Anxiet... by Zhicheng Liu, Yifan Yang, Shuang Liu, Guofang Zhang, Ru Bai, Shu Li, Ruotong Zhao, Yuqi Cheng, Jian Xu

“…However, neither GMV, CT, nor cortical complexity exhibited significant associations with Hamilton Anxiety Scale (HAMA) or Hamilton Depression Scale (HAMD) scores. …”
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A Comprehensive Review of EEG-Based Seizure Detection Techniques by Goldwyn Sudhakar Jebaraj, Konguvel Elango

“…Furthermore, it provides a detailed analysis of recent advancements in automated seizure classification and prediction systems. …”
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DIAGNOSIS OF OCCIPITAL LOBE EPILEPSY by M. A. Lutskiy, M. V. Uvarova, V. P. Savinykh, V. A. Bykova

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Principal component analysis and fine-tuned vision transformation integrating model explainability for breast cancer prediction by Huong Hoang Luong, Phuc Phan Hong, Dat Vo Minh, Thinh Nguyen Le Quang, Anh Dinh The, Nguyen Thai-Nghe, Hai Thanh Nguyen

“…In addition, the application of principal component analysis for dimensionality reduction led to an accuracy improvement of 3.34%, highlighting its role in mitigating overfitting and reducing the computational complexity. …”
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HR-pQCT and 3D Printing for Forensic and Orthopaedic Analysis of Gunshot-Induced Bone Damage by Richard Andreas Lindtner, Lukas Kampik, Werner Schmölz, Mateus Enzenberg, David Putzer, Rohit Arora, Bettina Zelger, Claudia Wöss, Gerald Degenhart, Christian Kremser, Michaela Lackner, Anton Kasper Pallua, Michael Schirmer, Johannes Dominikus Pallua

“…This unique approach serves as a translational model for complex skeletal trauma. <b>Methods:</b> Multimodal imaging—including clinical CT, MRI, and HR-pQCT—was used to characterise the extent of osseous and soft tissue damage. …”
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LMVT: A hybrid vision transformer with attention mechanisms for efficient and explainable lung cancer diagnosis by Jesika Debnath, Al Shahriar Uddin Khondakar Pranta, Amira Hossain, Anamul Sakib, Hamdadur Rahman, Rezaul Haque, Md.Redwan Ahmed, Ahmed Wasif Reza, S M Masfequier.Rahman Swapno, Abhishek Appaji

“…Lung cancer continues to be a leading cause of cancer-related deaths worldwide due to its high mortality rate and the complexities involved in diagnosis. Traditional diagnostic approaches often face issues such as subjectivity, class imbalance, and limited applicability across different imaging modalities. …”
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"Social horror": A critical analysis of ideological and poetic function of the motive of victim in the contemporary Serbian film by Kronja Ivana

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IDENTIFICATION OF THE PERPETRATOR OF A HOMICIDE BASED ON BIOTRACE ANALYSIS OF FOOTPRINTS LEFT AT THE CRIME SCENE AND SUSPECTED SHOES by Atanas Christov, Alexandar Alexandrov, Teodora Kiryakova, Pavel Timonov

“…Therefore a comparison analysis is needed between the object and the traces it had left. …”
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A Deep Learning-Based Model Approach for Quantitative Analysis of Cell Chemotaxis in a Microfluidic Chip by Hongxuan Wu, Fei Zhang, Mingji Wei

“…Concurrently, deep learning technology was introduced to identify the migrated and non-migrated states of cell images, thereby enabling the automatic counting and analysis of chemotactic cells. …”
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DS-AdaptNet: An Efficient Retinal Vessel Segmentation Framework With Adaptive Enhancement and Depthwise Separable Convolutions by Shuting Chen, Chengxi Hong, Hong Jia

“…Medical image segmentation plays a crucial role in diagnosis and treatment planning, yet faces persistent challenges including limited annotated data, boundary ambiguity, and high computational demands that hinder clinical deployment. …”
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