Risk-Aware Lane Change and Trajectory Planning for Connected Autonomous Vehicles Based on a Potential Field Model by Tao Wang, Dayi Qu, Kedong Wang, Chuanbao Wei, Aodi Li

“…An initial filtering process is applied to these trajectories, yielding a refined set of candidates. …”
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A Crowd Counting and Localization Network Based on Adaptive Feature Fusion and Multi-Scale Global Attention Up Sampling by Min Wang, Li Huang, Jingke Yan, Jin Huang, Tao Yang

“…Crowd counting is an important research topic in the fields of computer vision and image processing, with monitoring and management of crowded scenes becoming an increasingly prominent issue. …”
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Multimodal Explainability Using Class Activation Maps and Canonical Correlation for MI-EEG Deep Learning Classification by Marcos Loaiza-Arias, Andrés Marino Álvarez-Meza, David Cárdenas-Peña, Álvaro Ángel Orozco-Gutierrez, German Castellanos-Dominguez

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Hierarchical multi step Gray Wolf optimization algorithm for energy systems optimization by Idriss Dagal, AL-Wesabi Ibrahim, Ambe Harrison, Wulfran Fendzi Mbasso, Ahmad O. Hourani, Ievgen Zaitsev

“…The performance of HMS-GWO is evaluated on a benchmark suite of 23 functions, showing a 99% accuracy, with a computational time of 3 s and a stability score of 0.9. …”
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Identification and Differentiation of Polygonum multiflorum Radix and Polygoni multiflori Radix Preaparata through the Quantitative Analysis of Multicomponents by the Single-Marker... by Ding-Qiang Luo, Pu Jia, Shan-Shan Zhao, Ye Zhao, Hai-Jing Liu, Feng Wei, Shuang-Cheng Ma

“…The quantitative analysis of multicomponents by the single-marker (QAMS) method was established and the relationship between F value (the ratio of the sum of the contents of emodin-8-O-β-D-glucopyranoside and physcion-8-O-β-D-glucopyranoside to the sum of the contents of emodin and physcion) and the steaming time was found to identify and differentiate Polygonum multiflorum Radix and its processed product. Emodin was considered as the control substance, and the correction factors of physcion, emodin-8-O-β-D-glucopyranoside, and physcion-8-O-β-D-glucopyranoside were computed. …”
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Integration of CFD analysis and artificial neural networks for estimation of erosion rate in oil and gas pipelines by Nur Tantiyani Ali Othman, Zulfan ADI Putra, Shahrul Azman Zainal Abidin, Fadzrul Izwan M Ali

“…Finite Element Analysis via computational fluid dynamics (CFD) approach has proven to be useful to solve sand deposition problems and to estimate the eroded pipe due to its capability to precisely determine erosion deficiencies and make predictions with great precision. …”
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Precision Oral Medicine: A DPR Segmentation and Transfer Learning Approach for Detecting Third Molar Compress Inferior Alveolar Nerve by Yuan-Jin Lin, Shih-Lun Chen, Yi-Cheng Mao, Tsung-Yi Chen, Cheng-Hao Peng, Tzu-Hsiang Tsai, Kuo-Chen Li, Chiung-An Chen, Wei-Chen Tu, Patricia Angela R. Abu

“…Thus, the primary objective is to utilize dental panoramic radiography for image processing and classify whether the third molar compresses the inferior alveolar nerve, aiming to reduce the demand for CT images in symptom diagnosis and mitigate the risks associated with high-dose radiation. …”
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Data of vegetation structure metrics retrieved from airborne laser scanning surveys for European demonstration sitesZenodo by W. Daniel Kissling, Wessel Mulder, Jinhu Wang, Yifang Shi

“…The raw ALS point clouds were clipped to the site boundaries and processed with the 'Laserfarm' workflow, a standardized computational workflow that includes modular pipelines for re-tiling, normalization, feature extraction, and rasterization. …”
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A Bayesian vector-autoregressive application with time-varying parameters on the monetary shocks–production network nexus by Mihaela Simionescu, Nicolas Schneider, Beata Gavurova

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Visual Classification of Music Style Transfer Based on PSO-BP Rating Prediction Model by Tianjiao Li

“…In this paper, based on computer reading and processing of music frequency, amplitude, timbre, image pixel, color filling, and so forth, a method of image style transfer guided by music feature data is implemented in real-time playback, using existing music files and image files, processing and trying to reconstruct the fluent relationship between the two in terms of auditory and visual, generating dynamic, musical sound visualization with real-time changes in the visualization. …”
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From Digital to Real: Optimised and Functionally Integrated Shotcrete 3D Printing Elements for Multi-Storey Structures by Robin Dörrie, Stefan Gantner, Fatemeh Salehi Amiri, Lukas Lachmayer, Martin David, Tom Rothe, Niklas Freund, Ahmad Nouman, Karam Mawas, Oguz Oztoprak, Philipp Rennen, Virama Ekanayaka, André Hürkamp, Stefan Kollmannsberger, Christian Hühne, Annika Raatz, Klaus Dröder, Dirk Lowke, Norman Hack, Harald Kloft

“…The present research documents the 1:1 scale manufacturing process, from digital to real, of a building section utilising SC3DP. …”
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Calibrating HMI Magnetograms Using an End-to-end Magnetograph Model by Gordon J. D. Petrie, Julián Blanco Rodríguez, Valentín Martínez Pillet, Han Uitenbroek, Philip H. Scherrer

“…Finally, we compare the simulated magnetograms with the MHD field data using the computed line formation information along each LOS and construct a detailed end-to-end magnetogram calibration. …”
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CGDINet: A Deep Learning-Based Salient Object Detection Algorithm by Chengyu Hu, Jianxin Guo, Hanfei Xie, Qing Zhu, Baoxi Yuan, Yujie Gao, Xiangyang Ma, Jialu Chen, Juan Tian

“…Salient object detection (SOD) is a key preprocessing step in computer vision, widely used in object tracking, action recognition, and image retrieval, among other fields. …”
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Unveiling the power of high-dimensional cytometry data with cyCONDOR by Charlotte Kröger, Sophie Müller, Jacqueline Leidner, Theresa Kröber, Stefanie Warnat-Herresthal, Jannis Bastian Spintge, Timo Zajac, Anna Neubauer, Aleksej Frolov, Caterina Carraro, DELCODE Study Group, Frank Jessen, Simone Puccio, Anna C. Aschenbrenner, Joachim L. Schultze, Tal Pecht, Marc D. Beyer, Lorenzo Bonaguro

“…While several analytical platforms and bioinformatics tools have become available for the analysis of HDC data, these are either web-hosted with limited scalability or designed for expert computational biologists, making their use unapproachable for wet lab scientists. …”
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PDCNet: A Polarimetric Data-Enhanced Contrastive Learning Network for PolSAR Land Cover Classification by Bo Ren, Chaoyue Hua, Biao Hou, Jian Lv, Chen Yang, Licheng Jiao, Jocelyn Chanussot

“…Recently, contrastive learning has been successful in computer vision, with fewer labeled and a large amount of unlabeled data. …”
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Lifelong Whole Slide Image Analysis: Online Vision-Language Adaptation and Past-to-Present Gradient Distillation by Doanh C. Bui, Hoai Luan Pham, Vu Trung Duong Le, Tuan Hai Vu, Van Duy Tran, Khang Nguyen, Yasuhiko Nakashima

“…However, the rapid growth of computational tasks involving WSIs poses significant challenges. …”
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Food and Beverage Content on YouTube Videos Targeting Children: A Descriptive Analysis by Tülin Çoban, Volkan Gün, Sevda Betül Bozkurt, Busenur Sarıduman, Büşra Güleçer, Cristina Cebanova, Ebru Ocak, Elif İkiz, Mert Kara, Merve Nur Uluğ, Muhammed Taha Uludağ, Hilal Özcebe

“…The subjects of advertisements in the videos were mostly “mobile games”, “computer games” and “toys” (27.9%; 22.7%; 13.9%, respectively). …”
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An overview of pink eye infection to evaluate its medications: group decision-making approach with 2-tuple linguistic T-spherical fuzzy WASPAS method by M. Waheed Rasheed, Hind Y. Saleh, Areen A. Salih, Jahangeer Karamat, Muhammad Bilal

“…The computation procedure for this methodology is thoroughly given to rank the alternatives; (5) to confirm the viability of the suggested approach, thorough computational and simulation assessments are conducted. …”
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Rapid Design of Efficient Mn3O4‐Based Photocatalysts by Machine Learning and Density Functional Theory Calculations by Haoxin Mai, Xuying Li, Tu C. Le, Salvy P. Russo, David A. Winkler, Dehong Chen, Rachel A. Caruso

“…These computational methods provide a framework for the rational design of advanced materials for environmental remediation applications.…”
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Clinical profile, surgical management, and outcome of inferior vena cava tumors- A single-team experience by Farooq Ahmad Ganie, Masarat-ul Gani, Shahbaz Bashir, Hakeem Zubair Ashraf, Rohey Jan, Mohd Iqbal Dar, Mudasir Hamid Bhat, Shadab Maqsood

“…A total of nine patients were included in the study. The evaluation process comprised a detailed medical history, physical examination, chest X-rays, ultrasound of the abdomen and pelvis with color Doppler imaging, contrast-enhanced computed tomography with computed tomography venography, magnetic resonance venography, two-dimensional echocardiography, and urinary catecholamine level assessment. …”
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