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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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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Geometric Deep Learning for Computer-Aided Design: A Survey by Negar Heidari, Alexandros Iosifidis

“…Additionally, it provides a complete list of benchmark datasets and their characteristics, along with open-source codes that have propelled research in this domain. …”
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Psitrum: An open source simulator for universal quantum computers by Mohammed Alghadeer, Eid Aldawsari, Raja Selvarajan, Khaled Alutaibi, Sabre Kais, Fahhad H. Alharbi

“…Psitrum software and source codes are fully available at GitHub.…”
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Open-source High-resolution Exoplanet Atmosphere Retrievals with POSEIDON by Ruizhe Wang, Ryan J. MacDonald, Neale P. Gibson, Nikole K. Lewis

“…However, a significant challenge to reliable and reproducible atmospheric inferences from high-resolution data sets has been the lack of open-source codes for high-resolution retrievals. Here, we present a unified high-resolution retrieval framework, for both emission and transmission spectroscopy, made publicly available within the open-source POSEIDON retrieval code. …”
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Loop-invariant Optimization in the Pifagor Language by Vladimir S. Vasilev, Alexander I. Legalov

“…The paper provides a definition of ”invariant” applied to the Pifagor language, algorithms for its optimization, and examples of program source codes, their graph representations (the program dependence graph) before and after optimization. …”
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Extended Back-EMF Based Industrial Sensorless Drive System for PMSMs by Burak Gördük, Murat Yilmaz

“…However, such solutions are protected with closed source codes. This reduces the flexibility and the performance of such systems. …”
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Modern Web Archiving Technologies by N. S. Redkina

“…A conclusion is made, that the prospects for the further development of web archives, taking into account the standards for collecting, preserving and providing long-term access to web content, recommended by the International Consortium for Internet Preservation, including modern web archiving tools (e.g. open source codes). They allow expanding capabilities and the functionality of web archives as sources of searching for open information, obtaining new knowledge, restoring lost information, as well as checking previously published data, that often have great cultural, scientific, educational, artistic and social significance.…”
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Adversarial Sparse Teacher: Defense Against Distillation-Based Model Stealing Attacks Using Adversarial Examples by Eda Yilmaz, Hacer Yalim Keles

“…Experiments on the CIFAR-10 and CIFAR-100 datasets demonstrate that AST outperforms state-of-the-art methods, providing effective defense against model stealing, while preserving high accuracy. The source codes are publicly available at <uri>https://github.com/codeofanon/AdversarialSparseTeacher</uri>…”
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Multispectral Image Compression Based on DSC Combined with CCSDS-IDC by Jin Li, Fei Xing, Ting Sun, Zheng You

“…In this paper, we proposed a compression algorithm based on distributed source coding (DSC) combined with image data compression (IDC) approach recommended by CCSDS for multispectral images, which has low complexity, high robust, and high performance. …”
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Auto regressive neural network-driven reliability optimization in base-isolated building design by John Thedy, Kuo-Wei Liao, Taeyong Kim

“…The ARNN's efficiency enables high-accuracy RBDO with NLTHA-level precision and acceptable computation time. The supporting source codes of proposed ARNN are available at https://github.com/johnthedy/Auto-Regressive-Neural-Network.…”
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Deep Defense Against Mal-Doc: Utilizing Transformer and SeqGAN for Detecting and Classifying Document Type Malware by Gati Lother Martin, Sang-Min Lee, Jong-Hyun Kim, Young-Seob Jeong, Ah Reum Kang, Jiyoung Woo

“…Initially, we develop MalCode2Vec to learn associations between source codes and represent them as numeric vectors. Subsequently, we design a Transformer-based model for document malware detection and family classification. …”
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Towards solving NLP tasks with optimal transport loss by Rishabh Bhardwaj, Tushar Vaidya, Soujanya Poria

“…We also discuss the limitations of the approach. The source codes pertaining to this work are publicly available at: https://github.com/declare-lab/NLP-OT.…”
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MKDESIGNER and TASEQ: a set of tools for plant genotyping by targeted amplicon sequencing by Koki Chigira, Masanori Yamasaki, Taiichiro Ookawa

“…They are implemented in Python and are freely available in Bioconda. The source codes are available on GitHub. ( https://github.com/KChigira/mkdesigner , https://github.com/KChigira/taseq ).…”
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Major Trends in the Development of Aerial Photography Technology for Agricultural Lands by R. K. Kurbanov, Yu. S. Tsench, N. I. Zakharova

“…The analysis included original works by both domestic and international authors; including monographs; scientific journals; conference proceedings; museum exhibits; photographic materials; and publicly available software source codes. (Results and discussion) Four key stages in the development of aerial photography equipment were identified based on advancements in camera technology and the aerial platforms on which they were mounted. …”
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A Deep Variational Approach to Multiterminal Joint Source-Channel Coding Based on Information Bottleneck Principle by Shayan Hassanpour, Matthias Hummert, Dirk Wubben, Armin Dekorsy

“…To that end, tractable objective functions are developed, together with the pertinent learning architectures, generalizing the concepts of Variational Auto-Encoders and (Distributed) Deep Variational Information Bottleneck for (remote) source coding to the context of distributed joint source-channel coding. …”
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Turkish scene text recognition: Introducing extensive real and synthetic datasets and a novel recognition model by Serdar Yıldız

“…To foster future STR research, we have made all datasets and source codes publicly available.…”
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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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Importance-Aware Resource Allocations for MIMO Semantic Communication by Yue Cao, Youlong Wu, Lixiang Lian, Meixia Tao

“…Our solution decouples semantic processing from channel coding through a three-tier architecture: (1) Variational autoencoder (VAE)-based semantic encoder and decoder for source coding, (2) A communication-informed bottleneck attribution (CIBA) mechanism quantifying feature importance for learning tasks, and (3) An importance-aware resource allocation scheme aligning communication objectives with deep learning tasks. …”
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On Explainability of Reinforcement Learning-Based Machine Learning Agents Trained with Proximal Policy Optimization That Utilizes Visual Sensor Data by Tomasz Hachaj, Marcin Piekarczyk

“…This estimation makes it possible to determine whether the network makes decisions as expected (decision-making is related to the model’s observation of objects belonging to different semantic classes in the environment) and to detect unexpected, seemingly chaotic behavior that might be, for example, the result of data bias, bad design of the reward function or insufficient generalization abilities of the model. We publish all source codes so our experiments can be reproduced.…”
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