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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Aqua-MC as a simple open access code for uncountable runs of AquaCrop by Vahid Adabi, Hadi Ramezani Etedali, Asghar Azizian, Faraz Gorginpaveh, Ali Salem, Ahmed Elbeltagi

“…Monte Carlo simulations are widely used for uncertainty and sensitivity analysis, but their application to closed-source models like AquaCrop presents significant challenges due to the lack of direct access to source code. This study introduces Aqua-MC, an automated framework designed to facilitate Monte Carlo simulations in AquaCrop by integrating probabilistic parameter selection, iterative execution, and uncertainty quantification within a structured workflow. …”
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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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Analisis Efisiensi Integral Numerik Metode Simpson 1/3 dan Simpson 3/8 Menggunakan Program Software Berbasis Pascal by Atiqa Firdaus, Amrullah Amrullah, Nourma Pramestie Wulandari, Nurul Hikmah

“…Tujuan dari penelitian ini adalah untuk mengetahui efisiensi integral numerik metode simpson  dan simpson  menggunakan program software berbasis pascal. Setelah membuat source code dan diimplementasikan kepada fungsi eksponensial, fungsi polinomial dan fungsi trigonometri akan mendapatkan nilai hampiran, galat relatif, dan waktu pengerjaan pada iterasi  dan eksak yang berbeda. …”
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SwinD-Net: a lightweight segmentation network for laparoscopic liver segmentation by Shuiming Ouyang, Baochun He, Huoling Luo, Fucang Jia

“…Our model effectively reduces parameter count and computational complexity, improving the inference speed while maintaining comparable accuracy. The source code will be available at https://github.com/ouyangshuiming/SwinDNet.…”
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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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Leveraging commonality across multiple tissue slices for enhanced whole slide image classification using graph convolutional networks by Sakonporn Noree, Willmer Rafell Quinones Robles, Young Sin Ko, Mun Yong Yi

“…Conclusion By efficiently establishing information across slices, our approach offers a more accurate and efficient method for WSI classification, with promising implications for clinical applications. The source code is available at https://github.com/Juckjick/commonality_graph . …”
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Predicting drug protein interactions based on improved support vector data description in unbalanced data by Alireza Khorramfard, Jamshid Pirgazi, Ali Ghanbari Sorkhi

“…Conclusion: The datasets analyzed during the current study are not publicly available but are available from the corresponding author upon reasonable request and source code are available on GitHub: https://github.com/alirezakhorramfard/vasvdd.…”
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YOLOv8n-DSDL: A lightweight dual-backbone network with decoupled self-attention for cotton maturity detection by Meiqi Zhong, Linjing Wei, Henghui Mo

“…This study provides a novel and practical solution for intelligent maturity monitoring of cotton and potentially other crops. The source code is publicly available at: https://github.com/mohenghui/Cotton_maturity .…”
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Photograph-based machine learning approach for automated detection and differentiation of aerial blight disease in soybean crops by Mukta Nainwal, Anurag Satpathi, Saqib Shamsi, Ali Salem, Ajeet Singh Nain, Dinesh Kumar Vishwakarma, Ahmed Elbeltagi, Salah El-Hendawy, Mohamed A. Mattar

“…Leveraging advanced computer technologies and smartphone imaging, this study presents a practical solution for enhancing crop management practices and minimizing yield losses due to diseases. The source code for our implementation is available in supportive file.…”
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Diving into the past: tools for recovering historic dive traces from film-based time depth recorders using data from Weddell seals by EmmaLi G. Tsai, Dylan W. Schwilk, Michael A. Castellini, Jennifer M. Burns

“…Our recovery methods are published as open-source code in an R package. Conclusions This tool will assist in recovering dive data from historic Kooyman–Billups TDRs and from similar devices of this time, which recorded data for at least 14 different species. …”
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The FBA solution space kernel: introduction and illustrative examples by Wynand S. Verwoerd, Longfei Mao

“…Methods Calculations are performed with the publicly available software package SSKernel, the source code and user manual of which is included as a supplementary file. …”
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Multi-Object Tracking With Memory Fusion in UAV Videos by Yibo Cui, Shangsheng Li, Xin Yang, Gang Wang

“…In this paper, we contribute a novel memory fusion mechanism, a lightweight MOT architecture, and improved ID association performance by using the AMF module. The source code will be publicly available at: <uri>https://github.com/keacifer/AMF-MOT</uri>…”
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Editorial by Christian Gütl

“…These contributions, together with the generous support of the KOALA initiative, maintain the quality of our journal.In the sixth regular issue, I am very pleased to present the following 4 accepted articles: Michele Berti, Matheus Camilo da Silva, Sebastiano Saccani, and Sylvio Barbon from Italy focus their research on synthetic data generation as an alternative to traditional data anonymization based on variational autoencoders to generate high-quality synthetic tabular datasets.Roger Vieira and Kleinner Farias from Brazil introduce in their research CognIDE, a tool-supported methodology that aims to seamlessly integrate psychophysiological data linked to cognitive indicators into VS Code by offering actionable contextual cues alongside dynamic source code.Pedro Henrique Dias Valle and Elisa Yumi Nakagawa from Brazil discuss in their research a catalog of the main interoperability architectural solutions for addressing the four levels of interoperability - namely technical, syntactic, semantic, and organizational &amp;ndash; for solving interoperability issues in software systems by analyzing 65 studies from the scientific literature.Ji Woong Yoo, Kyoung Jun Lee and Arum Park from the Republic of Korea explore the potential of deep learning techniques - Long Short-Term Memory (LSTM) algorithm and Word2Vec model &amp;ndash; for cleansing malicious comments from users, and enhancing the ethical nature of AI systems.Enjoy Reading!…”
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ADMNet: adaptive deformable convolution large model combining multi-level progressive fusion for Building Change Detection by Liye Mei, Haonan Yu, Zhaoyi Ye, Chuan Xu, Cheng Lei, Wei Yang

“…The results show that ADMNet outperforms all comparative methods. The source code is available at https://github.com/spaceYu180/ADMNet.…”
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Range Space and Similarity Transformation Using Symbolic Mathematics in Python by Chainarong Wisassakwichai, Prasert Phaochoo

“…These classes have been uploaded to GitHub as open-source code, providing a versatile Python module that can be used for programming both offline on PCs and online through the web application &#x201C;SymPy Live,&#x201D; producing satisfactory results even on mobile devices. …”
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Study on Hydrodynamic Characteristics of Continuous Distribution Vegetation Patches Based on LES by GAO Huan, GONG Yiqing, MAO Jinqiao, CHEN Yanhong, DAI Jie, WANG Kang, MENG Dinghua, YANG Ji

“…This study uses the Hydro 3D open-source code and LES technology based on the Immersed Boundary method to construct a mathematical model of circular rigid emergent vegetation patches to clarify the hydrodynamic characteristics of continuous plant patches under varying water levels. …”
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A Lightweight Transformer Model for Defect Detection in Electroluminescence Images of Photovoltaic Cells by Yang Yang, Jing Zhang, Xin Shu, Lei Pan, Ming Zhang

“…Experiments demonstrate that the proposed LD-DETR achieves competitive performance on the PV cell dataset of ElectroLuminescence (EL) images with an accuracy of 87.4% and an inference time of 6.1ms on GPU as well as 1.1s on embedded CPU. Our source code is available at <uri>https://github.com/SeveralYang/LD-DETR</uri>.…”
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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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System noise removal for area-array satellite image considering self-constraint and graph regularized row sparse coding by Tianzhen Wan, Jun Pan, Mi Wang

“…A series of experiments conducted on simulated images and real Gaofen-4 satellite images demonstrate that the proposed SC-GRSC method outperforms comparable methods in removing system noise. The source code for SC-GRSC is available at: https://github.com/2015114000/SC-GRSC.…”
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