Gaussian random fields as an abstract representation of patient metadata for multimodal medical image segmentation by Bill Cassidy, Christian McBride, Connah Kendrick, Neil D. Reeves, Joseph M. Pappachan, Shaghayegh Raad, Moi Hoon Yap

“…Our results show significant performance gains when training individual models using specific metadata categories, followed by average merging of prediction masks using distance transforms. All source code for this study is available at: https://github.com/mmu-dermatology-research/multimodal-grf…”
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Use of machine learning in osteoarthritis research: a systematic literature review by Francis Berenbaum, Jérémie Sellam, David Klatzmann, Atul J Butte, Karine Louati, Encarnita Mariotti-Ferrandiz, Marie Binvignat, Valentina Pedoia

“…Most of the studies involved the same cohort, with data from the OA initiative described in 46% of the articles and the MOST and Cohort Hip and Cohort Knee cohorts in 11% and 7%. Data and source codes were described as publicly available respectively in 54% and 22% of the articles. …”
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Multi-Objective Majority–Minority Cellular Automata Algorithm for Global and Engineering Design Optimization by Juan Carlos Seck-Tuoh-Mora, Ulises Hernandez-Hurtado, Joselito Medina-Marín, Norberto Hernández-Romero, Liliana Lizárraga-Mendiola

“…The MOMmCAA was implemented in MATLAB and its source code can be consulted in GitHub.…”
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Transformer-Based Vulnerability Detection in IoT Firmware Binaries Using Opcode Sequences by M. Nandish, Jalesh Kumar, H. G. Mohan, M. V. Manoj Kumar

“…This is due to the absence of source code, the inherent complexity of binary structures, the diversity of hardware architecture, and the difficulty of extracting deep contextual representations from binaries. …”
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CIBPartitioner: a computational intensity-balanced partitioner for enhancing distributed spatial join processing by Xiangyang Yang, Xuefeng Guan, Ming Zhang, Hang Wu, Bo Wang, Pengcheng Yin, Qingyang Xu, Huayi Wu

“…Extensive experiments on real-world datasets demonstrate that CIBPartitioner significantly improves computational load balancing and enhances the end-to-end efficiency of distributed spatial join processing compared with popular spatial partitioners, including KDBTree. The source code of CIBPartitioner has been released.…”
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Individual tree detection from unmanned aerial vehicle (UAV) derived point cloud data in a mixed broadleaf forest using hierarchical graph approach by Seyed Ali Ahmadi, Arsalan Ghorbanian, Farshad Golparvar, Ali Mohammadzadeh, Sadegh Jamali

“…After point cloud generation, the proposed method was implemented entirely in Python using open-source packages, which increases its applicability for other scholars and managers. The source code of the proposed algorithm can be found at https://github.com/Seyed-Ali-Ahmadi/Graph-based_ITCD.…”
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Phish Fighter: Self Updating Machine Learning Shield Against Phishing Kits Based on HTML Code Analysis by Gabriela Brezeanu, Alexandru Archip, Codrut-Georgian Artene

“…In addition, we successfully identified the phishing pages created by cloning the original source code of legitimate entities without requiring prior knowledge to distinguish such clones. …”
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Enhancing Sustainable IoT Systems Through a Goal-Oriented Requirements Analysis Framework by José Alfonso Aguilar-Calderón, Carolina Tripp-Barba, Aníbal Zaldívar-Colado, Pedro Alfonso Aguilar-Calderón, Pablo Alfonso Aguilar-Calderón

“…The methodology integrates goal-oriented requirements analysis language i* and model-driven development (MDD) through a three-stage transformation process involving the i* RA model, UML class diagrams, and Python source code generation. A case study demonstrates how GORA improves system reliability, performance, and sustainability. …”
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CSSDet: small object detection via cross-scale feature enhancement on drone-view images by Gui Cheng, Qing Ding, Bowen Cai, Chaoya Dang, Yu Wang, Xiaolong Zuo, Zhenfeng Shao

“…The substantial experimental findings confirm that CSSDet attains comprehensive object detection performance on drone-view images. The source code is available at https://github.com/Gui-Cheng/CSSDet.…”
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Weighted Multi-Modal Contrastive Learning Based Hybrid Network for Alzheimer’s Disease Diagnosis by Renping Yu, Chao Peng, Jixiang Zhu, Mingming Chen, Rui Zhang

“…Experimental results on ADNI dataset demonstrate the effectiveness of the proposed WMCL-HN in AD-related diagnosis tasks. The source code is available at <uri>https://github.com/pcehnago/WMCL-HN</uri>.…”
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SGTCDA: Prediction of circRNA-drug sensitivity associations with interpretable graph transformers and effective assessment by Hongwei Xia, Caiyue Dong, Xinxing Chen, Zhuoyu Wei, Lichuan Gu, Xiaolei Zhu

“…Moreover, we leveraged EdgeSHAPer to explain the performance of the proposed SGTCDA model, which illustrates that the edges between drugs are more important than other edges for the performance of the model. The source code and dataset of SGTCDA are available at: https://github.com/hwxia/SGTCDA .…”
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Enhancing outlying growth simulation in urban cellular automata via intelligent extraction-fusion of land suitability and neighborhood effects: a case study of Wuhan, China by Qingyang Xu, Xuefeng Guan, Changlan Yang, Weiran Xing, Xiaoyu Chen, Huayi Wu

“…Experimental results illustrate that SEAF-CA outperforms three typical CA models, achieving the closest outlying growth proportion to reality and the highest simulation accuracy. In addition, the source code of SEAF-CA is now available at GitHub (https://github.com/ohXu/SEAF-CA).…”
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Climate sensitive growth and yield models in Canadian forestry: Challenges and opportunities by J.M. Metsaranta, M. Fortin, J.C. White, D. Sattler, W.A. Kurz, M. Penner, J. Edwards, W. Hays-Byl, R. Comeau, V. Roy

“…The climate sensitive growth and yield modelling initiative emphasizes collaboration, open data, and open-source code principles to ensure widespread accessibility and uptake of models, thus contributing to the sustainable management of forest resources. …”
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Enhancing Road Drainage Systems for Extreme Storms: Integration of a High-Precision Flow Diversion Module into SWMM Code by Yuting Ren, Zhiyu Shao, Qi Zhang, Wang Feng, Lei Xu, Huafeng Gong, Scott Yost, Lei Chen, Hongxiang Chai

“…This study addresses these issues by integrating a semiempirical flow diversion formula into the SWMM source code. The semiempirical formula, derived from hydraulic experiments and computational fluid dynamics simulations, captures the flow dynamics at T-shaped intersections. …”
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Enhancing Biomedical Semantic Annotations through a Knowledge Graph-Based Approach by Asim Abbas, Mutahira Khalid, Sebastian Chalarca, Fazel Keshtkar, Syed Ahmad Chan Bukhari

“…Our results showed an acceptable level of accuracy at approximately 90%. The source code for "Semantically" is freely available at: https://github.com/bukharilab/Semantically…”
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A Graph-Based Learning Framework for Compiler Loop Auto-Vectorization by Yao Xiao, Nesreen K. Ahmed, Mihai Capotă, Guixiang Ma, Theodore L. Willke, Shahin Nazarian, Paul Bogdan

“…Modern compilers use vectorization techniques to exploit the SIMD capability, by detecting data parallelism in scalar source code and transforming a group of scalar instructions into vector-based instructions. …”
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Cybersecurity requirements for medical devices in the EU and US - A comparison and gap analysis of the MDCG 2019–16 and FDA premarket cybersecurity guidance by Max Ostermann, Rebecca Mathias, Fatemeh Jahed, Mitchell B. Parker, Florence D. Hudson, William C. Harding, Stephen Gilbert, Oscar Freyer

“…First, the study compares these documents with a baseline requirements framework derived from international standards and best practices, revealing gaps in the thematic areas of “Cryptography,” “Authentication &amp; Access Control,” and “Source Code/Software Development.” Second, the guidance documents were compared with real-world cybersecurity incidents, showing that the current guidance documents would help to mitigate the weaknesses of important vulnerability examples, while recommendations are missing in both guidance documents, but more so in MDCG 2019–16, for the most important weaknesses. …”
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ARGContextProfiler: extracting and scoring the genomic contexts of antibiotic resistance genes using assembly graphs by Nazifa Ahmed Moumi, Shafayat Ahmed, Connor Brown, Amy Pruden, Liqing Zhang

“…ARGContextProfiler thus provides a powerful tool for uncovering the genomic context of ARGs in metagenomic sequencing data, which can be of value to both fundamental and applied research aimed at understanding and stemming the spread of AR. The source code of ARGContextProfiler is publicly available at GitHub.…”
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Learning dual context aware POI representations for geographic mapping by Quan Qin, Tinghua Ai, Shishuo Xu, Yan Zhang, Weiming Huang, Mingyi Du, Songnian Li

“…This study provides a new insight to mine deep information from POIs, contributing to a better understanding of urban systems. The source code is released at http://github.com/quan-qin/DCA.…”
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AM3: An Open-source Tool for Time-dependent Lepto-hadronic Modeling of Astrophysical Sources by Marc Klinger, Annika Rudolph, Xavier Rodrigues, Chengchao Yuan, Gaëtan Fichet de Clairfontaine, Anatoli Fedynitch, Walter Winter, Martin Pohl, Shan Gao

“…AM ^3 is a documented open-source software (source code at https://gitlab.desy.de/am3/am3 ; user guide and documentation at https://am3.readthedocs.io/en/latest/ ) that efficiently solves the coupled integro-differential equations describing the temporal evolution of the spectral densities of particles interacting in astrophysical environments, including photons, electrons, positrons, protons, neutrons, pions, muons, and neutrinos. …”
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