Detection of Potentially Anomalous Cosmic Particle Tracks Acquired with CMOS Sensors: Validation of Rough k–Means Clustering with PCA Feature Extraction by Hachaj Tomasz, Piekarczyk Marcin, Wąs Jarosław

“…The results can be reproduced using our source code, which is published in an open repository.…”
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A Novel Solution for Seepage Problems Implemented in the Abaqus UEL Based on the Polygonal Scaled Boundary Finite Element Method by Yang Yang, Zongliang Zhang, Yelin Feng, Kun Wang

“…Hence, the proposed method is robust and accurate for solving steady-state and transient seepage problems. The developed UEL source code and the associated input files can be downloaded from GitHub.…”
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IC2Bert: masked gene expression pretraining and supervised fine tuning for robust immune checkpoint blockade (ICB) response prediction by Seongyong Park, Seonkyu Kim, Peng Jiang

“…The IC2Bert model and its source code are publicly available on GitHub: https://github.com/data2intelligence/ic2bert .…”
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Sonic Boom Impact Assessment of European SST Concept for Milan to New York Supersonic Flight by Giovanni Fasulo, Antimo Glorioso, Francesco Petrosino, Mattia Barbarino, Luigi Federico

“…Aerodynamic numerical simulations were carried out using an open-source code to capture near-field pressure signatures at three critical mission points. …”
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Tuning of Kalman Filter Parameters via Genetic Algorithm for State-of-Charge Estimation in Battery Management System by T. O. Ting, Ka Lok Man, Eng Gee Lim, Mark Leach

“…The relevant workable MATLAB source codes are given in the appendix to ease future work and analysis in this area.…”
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A note on the improvement of Artificial Neural Network models for detonation cell size and critical tube diameter prediction by Georgios Bakalis, Yifan Lyu, Hoi Dick Ng

“…The optimal structure and combination of features for the ANN are thoroughly assessed. The source codes of the ANN models are readily available on GitHub.…”
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Deep learning using bulk RNA-seq data expands cell landscape identification in tumor microenvironment by Xin Wang, Hongjiu Wang, Dan Liu, Na Wang, Danni He, Zheyu Wu, Xu Zhu, Xiaoling Wen, Xuhua Li, Jin Li, Zhenzhen Wang

“…DCNet provides a foundation for decoding TME heterogeneity. The source code of DCNet can be found on GitHub: https://github.com/xindd/DCNet.…”
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Adaptive predator prey algorithm for many objective optimization by Nikunj Mashru, Kanak Kalita, Lenka Čepová, Pinank Patel, Arpita, Pradeep Jangir

“…Engineers and researchers can use MaOMPA as an effective reliable tool to address complex optimization scenarios in engineering design. The MaOMPA source code is available at https://github.com/kanak02/MaOMPA .…”
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Lex Capitalocenae by Jeremy Santora

“…The formation of capitalism as a world-ecology, as a way of organizing human and extra-human life, cannot be understood without accounting for the emergence of its legal infrastructure and its dualistic source code—Civilization and Nature—amidst the long sixteenth century. …”
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A SHACL-Based Approach for Enhancing Automated Compliance Checking with RDF Data by Joseph Anim, Livio Robaldo, Adam Z. Wyner

“…The findings underscore the potential of Semantic Web technologies to transform ACC practices by moving towards standardized, interoperable solutions. All source codes are freely available online together with instructions to locally reproduce the simulations.…”
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Audiogram Digitization Tool for Audiological Reports by Francois Charih, James R. Green

“…The algorithm extracts most thresholds within 5 dB accuracy, allowing to substantially lessen the time required to convert an audiogram into digital format in a semi-supervised fashion, and is a first step towards the automation of the adjudication process. The source code for the digitization algorithm and a desktop-based implementation of our NIHL annotation portal is publicly available on GitHub <uri>https://github.com/GreenCUBIC/AudiogramDigitization</uri>.…”
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ComplexityMeasures.jl: Scalable software to unify and accelerate entropy and complexity timeseries analysis. by George Datseris, Kristian Agasøster Haaga

“…The software provides 1638 measures with 3,841 lines of source code, averaging only 2.3 lines of code per exported quantity (version 3.7). …”
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Software preservation by Tadej Vodopivec

“…The following questions are asked: why at all to preserve computer programs permanently, who should do this and for whom, when we should think about permanent program preservation, what should be persevered (such as source code, screenshots, documentation, and social context of the program – e.g. media response to it ...), where and how? …”
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Let’s get it started: Eye tracking in VR with the Pupil Labs eye tracking add-on for the HTC Vive by Judith Josupeit

“…As add-on technology with all relevant source code available on GitHub, a high degree of freedom in preprocessing, visualizing, and analyzing eye tracking data in VR can be achieved. …”
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Multidimensional Small Baseline Subset (MSBAS) Software for Constrained and Unconstrained Deformation Analysis of Partially Coherent DInSAR and Speckle Offset Data by Sergey V. Samsonov

“…The manuscript serves as a comprehensive manual for the MSBAS Software Version 10. The source code is available.…”
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Establishing Performance Baselines for Secure Software Development by Ying-Ti Tsai, Chung-Ho Wang, Yung-Chia Chang, Lee-Ing Tong

“…In this context, enterprise programmers often rely on open-source software from social platforms to accelerate application development. However, the source code on these platforms may not always be regularly updated or well-maintained, posing security risks. …”
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A CAE model-based secure deduplication method by Chunbo Wang, Guoying Zhang, Hui Qi, Bin Chen

“…Experiments conducted on the source code dataset indicate that the proposed approach yields superior deduplication efficiency, reduced model storage requirements, and a more uniform distribution.…”
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mdciao: Accessible Analysis and Visualization of Molecular Dynamics Simulation Data. by Guillermo Pérez-Hernández, Peter W Hildebrand

“…Finally, the fully documented Python API allows users to include the basic or advanced mdciao functions in their analysis workflows, and provides numerous examples and Jupyter Notebook Tutorials. The source code is published under the GNU Lesser General Public License v3.0 or later and hosted on https://github.com/gph82/mdciao, and the documentation, including guides and examples, can be found at https://www.mdciao.org.…”
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Semi-supervised contrastive learning variational autoencoder Integrating single-cell multimodal mosaic datasets by Zihao Wang, Zeyu Wu, Minghua Deng

“…The results demonstrate that, compared to state-of-the-art multimodal data integration methods, scGCM offers significant advantages in clustering accuracy and data consistency. The source code of scGCM can be accessed at https://github.com/closmouz/scCGM .…”
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Approach of detecting low-rate DoS attack based on combined features by Zhi-jun WU, Jing-an ZHANG, Meng YUE, Cai-feng ZHANG

“…LDoS (low-rate denial of service) attack is a kind of RoQ (reduction of quality) attack which has the characteristics of low average rate and strong concealment.These characteristics pose great threats to the security of cloud computing platform and big data center.Based on network traffic analysis,three intrinsic characteristics of LDoS attack flow were extracted to be a set of input to BP neural network,which is a classifier for LDoS attack detection.Hence,an approach of detecting LDoS attacks was proposed based on novel combined feature value.The proposed approach can speedily and accurately model the LDoS attack flows by the efficient self-organizing learning process of BP neural network,in which a proper decision-making indicator is set to detect LDoS attack in accuracy at the end of output.The proposed detection approach was tested in NS2 platform and verified in test-bed network environment by using the Linux TCP-kernel source code,which is a widely accepted LDoS attack generation tool.The detection probability derived from hypothesis testing is 96.68%.Compared with available researches,analysis results show that the performance of combined features detection is better than that of single feature,and has high computational efficiency.…”
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