Improved machine classification algorithm for electric rail circuits in train warning systems by I. V. Prisukhina, D. V. Borisenko

“…There are known algorithms that implement the classification of code signals in an electric rail circuit. These algorithms, however, have some disadvantages in the form of either relatively complex implementation or reduced accuracy in the presence of noise in a code signal. …”
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Pyramidal Predictive Network V2: An Improved Predictive Architecture and Training Strategies for Future Perception Prediction by Chaofan Ling, Junpei Zhong, Weihua Li, Ran Dong, Mingjun Dai

“…Furthermore, we refine the training strategies to alleviate input inconsistency during training and testing phases. …”
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Evaluating Coding Proficiency of Large Language Models: An Investigation Through Machine Learning Problems by Eunbi Ko, Pilsung Kang

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The development of advanced network simulators for air transport by using fuzzy models and noise-resistant coding by A. A. Gladkih, L. G. Bolshedvorskaya, An. K. Volkov, Al. K. Volkov

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Deep Clustering of Student Code Strategies Using Multi-View Code Representation (CMVAE) by Zhengting Tang, Shizhou Wang, Liangyu Chen

“…Existing code representation methods typically rely on labeled datasets and task-specific training, limiting their generalizability. …”
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Training Impact on Knowledge and Attitude Levels of MBBS Students Regarding Fire Safety at a Tertiary Care Institute in Eastern India by Ramkrishna Mondal, Sujeet Kumar Sinha

Subjects: “…code red…”
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The educational effects of telemedicine training using role‐playing for general practice/family medicine residents: A qualitative study by Koki Nakamura, Tomoo Hidaka, Yoshihiro Toyoda, Mei Endo, Satoshi Kanke

“…The residents watched educational videos on telemedicine and engaged in role‐playing training based on multiple scenarios. Subsequently, interviews were conducted with the residents, and the verbatim transcripts of the audio data were thematically analyzed using open coding. …”
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Noise injection into Freeman chain codes by Luka Lukač, Andrej Nerat, Damjan Strnad, Ivana Kolingerová, Borut Žalik

“…Fractal dimension and mean distance from original are utilised in order to analyse the amount of injected noise in sequences of chain codes. The proposed method enables efficient noise injection directly into Freeman chain codes for use in data augmentation and regularization during neural network training.…”
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Coding theory and hyper BCK-algebras by Atamewoue Tsafack Surdive, Njeya Selestin, Lele C´elestin

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Enforcing Grammar in Code Synthesis with Transformers by Dmytro Vitel, Stephen Steinle, John Licato

“…Even more so than natural language, code is extremely sensitive to syntax; a small error could make an entire snippet invalid. …”
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Corporate Governance Code and Earnings Management by Azam Valizadeh Iarijani, Reyhaneh Iranpour

“…Considering this issue and the new corporate governance code in the Iranian capital market, in this research, the impact of the new corporate governance code on accrual-based earnings management and real earnings management is investigated. …”
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SelfCode: An Annotated Corpus and a Model for Automated Assessment of Self-Explanation During Source Code Comprehension by Jeevan Chapagain, Zak Risha, Rabin Banjade, Priti Oli, Lasang Tamang, Peter Brusilovsky, Vasile RUs

“…To answer this need, we present a novel corpus called SelfCode which consists of 1,770 sentence pairs of student and expert self-explanations of Java code examples, along with semantic similarity judgments provided by experts. …”
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Generative pre-trained transformers: ‘Ctrl+alt+create’ or ‘ctrl+alt+delete’ for IT education? by Samer Abaddi

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CodeTranFix: A Neural Machine Translation Approach for Context-Aware Java Program Repair with CodeBERT by Yiwei Lu, Shuxia Ye, Liang Qi

“…Neural Machine Translation (NMT)-based methods demonstrate notable potential by learning translation patterns from bug-fix code pairs. However, traditional approaches are constrained by limited model capacity and training data scale, leading to performance bottlenecks in generalizing to unseen defect patterns. …”
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Enhancing clinical decision-making: a scenario-based patient simulation study using QR code-based algorithms for the management of acute intoxication-type inborn errors of metaboli... by Merve Koç Yekedüz, Gülçin Bilicen Yarenci, Muhammet Taş, Nilüfer Okur, Fatma Tuba Eminoğlu

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Automated Color Coding in Musculoskeletal MR Imaging by Saavi Reddy Pellakuru, Sonal Saran, Syed Alam, Sameer Raniga, David Beale, Rajesh Botchu

“…Methods Two fellowship‐trained musculoskeletal radiologists evaluated the images reconstructed with color coding, rating their diagnostic value, image quality, and visual appeal using a five‐point Likert scale. …”
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Predictive analytics of student performance: Multi-method and code by Alla Yu. Vladova, Katsiaryna M. Borchyk

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On the Effectiveness of Automatic Code Generation for Synthetic Dataset Creation by Josh Mitchell, Varghese Mathew Vaidyan, Yong Wang

“…This paper compares synthetic and real-world code datasets for machine learning applications in cybersecurity by examining the relationships between machine code and Low-Level Virtual Machine Intermediate Representation (LLVM IR). …”
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CODE CLONE DETECTION WITH SELF-SUPERVISION ON DUAL GRAPHS by Chunguang Li, Adisorn Sirikham, Jessada Konpang, Yan Wang

“…Their fusion recovers semantic equivalence that each view alone misses, outperforming token sequence models (e.g., GraphCodeBERT) and single graph GNNs. Training employs a graph aware triplet loss that obviates manual labels by dynamically constructing positive/negative triplets from unlabelled repositories. …”
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Optimising the paradigms of human AI collaborative clinical coding by Yue Gao, Yuepeng Chen, Minghao Wang, Jinge Wu, Yunsoo Kim, Kaiyin Zhou, Miao Li, Xien Liu, Xiangling Fu, Ji Wu, Honghan Wu

“…Abstract Automated clinical coding (ACC) has emerged as a promising alternative to manual coding. …”
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