ANALYSIS AND MINIMIZATION OF THE RISKS OF HARMFUL DEPENDENCIES IN THE PROCESS OF CONTINUOUS INTEGRATION AND IMPLEMENTATION OF SOFTWARE CODE by Danil N. Alekseev, Renat M. Khamitov

“…In addition, regular audits and employee training help maintain a high level of security and awareness of potential threats. …”
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A Super-Resolution-Based Feature Map Compression for Machine-Oriented Video Coding by Jung-Heum Kang, Muhammad Salman Ali, Hye-Won Jeong, Chang-Kyun Choi, Younhee Kim, Se Yoon Jeong, Sung-Ho Bae, Hui Yong Kim

“…In MPEG standardization, Video Coding for Machine (VCM) is a newly arising topic which attempts to compress features/images for the purpose of machine vision tasks. …”
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A CNN-transformer framework for emotion recognition in code-mixed English–Hindi data by Shreya Patankar, Madhura Phadke

“…To address this, we propose a hybrid deep learning framework using a CNN-Transformer model trained on Hindi–English code-mixed tweets, categorized into Happy, Sad, Anger, and Neutral emotions. …”
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SiNC: Saliency-injected neural codes for representation and efficient retrieval of medical radiographs. by Jamil Ahmad, Muhammad Sajjad, Irfan Mehmood, Sung Wook Baik

“…The neural codes extracted from the entire image and salient part of the image are fused to obtain the saliency-injected neural codes (SiNC) descriptor which is used for indexing and retrieval. …”
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Examining Mammalian facial behavior using Facial Action Coding Systems (FACS) and combinatorics. by Aisha Mahmoud, Lauren Scott, Brittany N Florkiewicz

“…There has been an increased interest in standardized approaches to coding facial movement in mammals. Such approaches include Facial Action Coding Systems (FACS), where individuals are trained to identify discrete facial muscle movements that combine to create a facial configuration. …”
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Integrating LLM-based code optimization with human-like exclusionary reasoning for computational education by Yi Rong, Tianfeng Du, Roubing Li, Wenting Bao

“…before acting-as an explicit decision layer in the code-optimization pipeline. Concretely, we devise a two-stage framework in which an LLM first diagnoses whether a code segment merits modification and proceeds with optimization only when necessary, otherwise returning the original snippet verbatim. …”
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Deep Joint Source Channel Coding for Privacy-Aware End-to-End Image Transmission by Mehdi Letafati, Seyyed Amirhossein Ameli Kalkhoran, Ecenaz Erdemir, Babak Hossein Khalaj, Hamid Behroozi, Deniz Gunduz

“…Deep neural network (DNN)-based joint source and channel coding is proposed for privacy-aware end-to-end image transmission against multiple eavesdroppers. …”
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Reconstructing unreadable QR codes: a deep learning based super resolution strategy by Yasin Sancar

“…The results showed that EDSR, VDSR, ESPCN and SRCNN successfully read 4,261, 4,229, 4,255 and 4,042 of these QR codes, respectively. Furthermore, the EDSR, VDSR, ESPCN and SRCNN models trained by OpenCV’s deep learning-based WeChat QR Code Detector function to read 2,899 QR codes that were initially unreadable and simulated on the computer were able to successfully read 2,891, 2,884, 2,433 and 2,560 of them, respectively. …”
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Behavior Coding of Adolescent and Therapy Dog Interactions During a Social Stress Task by Seana Dowling-Guyer, Katie Dabney, Elizabeth A. R. Robertson, Megan K. Mueller

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ANALYTICAL MODEL OF NOISE STABILITY CALCULATION OF SYSTEMS WITH MULTIPOSITIONAL MODULATION AND CODING BY REED-SOLOMON ALGORITHM by E. B. Lipkovich, V. A. Kovshik, A. A. Serchenya

“…In contrast to the well-known approaches to determining the noise immunity of systems that require computation model, new estimating models are presented that do not require knowledge of the spectrum coefficients, computer simulation training methods and graphical construction of interference curves for various types of modulation and coding parameters. …”
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Quantization-Aware Training With Dynamic and Static Pruning by Sangho An, Jongyun Shin, Jangho Kim

“…The code is provided at <uri>https://github.com/Ahnho/Quantization-aware-training-with-Dynamic-and-Static-Pruning</uri>.…”
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KG4Py: A toolkit for generating Python knowledge graph and code semantic search by Lu Liang, Yong Li, Ming Wen, Ying Liu

“…We integrate a pre-trained model with an unsupervised model to generate a new model, and combine this new model with a code knowledge graph for the purpose of searching code snippets with natural language descriptions. …”
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Factors Affecting the Indifference of Players in Training for Competitions by Fatemeh Rahmati, Masoud Naderian Jahroni

“…Data analysis was conducted in two phases: initially via open and axial coding of qualitative data, and subsequently using MICMAC software for structural modeling. …”
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Analyzing Hollywood’s Animations Movies with Training Approach by H. Bashir, J. Javaheri

“…Today, one of the most influential and popular media production in the world in terms of the impact on education and training of children and adolescents, is animation movies especially those that are made in Hollywood. …”
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Effect of ergonomic training on saffron picker’s postures by nasrin Sadeghi, maryam Askarimoghaddam, hossein Rahdar, hamidreza Tolide-ie

“…Pictures from all postures of the ssubjects during work were taken, and all parts of the body scored upon the REBA method, and calculated after entering codes into tables. After two weeks training about correct work position using pamphlet, the assessment was repeated. …”
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Towards Seismic Design of Nonstructural Elements: Italian Code-Compliant Acceleration Floor Response Spectra by Beatrice Chichino, Simone Peloso, Davide Bolognini, Claudio Moroni, Daniele Perrone, Emanuele Brunesi

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Implementation of Generative Language Models (GLM) in Cyber Exercise Secure Coding using Prompt Engineering by Jeckson Sidabutar, Alfido Osdie

“…GLMs were implemented in a cybersecurity platform designed specifically for secure coding training, also serving as learning assistants that users can interact with during the cyber exercise. …”
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Assessing the performance of 28 pathogenicity prediction methods on rare single nucleotide variants in coding regions by Jee Yeon Heo, Ju Han Kim

“…Abstract Background Accurate pathogenicity prediction of rare variants in coding regions is crucial for prioritizing candidate variants in human diseases and advancing personalized precision medicine. …”
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Example-Based Super-Resolution Image Reconstruction for Positron Emission Tomography Using Sparse Coding by Xue Ren, Soo-Jin Lee

“…To address this limitation, we adopt sparse coding (SC)-based SR techniques, which require only a moderate amount of training data to construct dictionaries for reconstructing high-resolution (HR) images from low-quality projections acquired with low-resolution detectors. …”
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Performance Analysis of Deep Learning-Based Lossy Point Cloud Geometry Compression Coding Solutions by Joao Prazeres, Rafael Rodrigues, Manuela Pereira, Antonio M. G. Pinheiro

“…The quality evaluation of three deep learning-based coding solutions for point cloud geometry, notably ADLPCC, PCC GEO CNNv2, and PCGCv2, is presented. …”
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