Auto forensic detecting algorithms of malicious code fragment based on TensorFlow by Binglong LI, Jinlong TONG, Yu ZHANG, Yifeng SUN, Qingxian WANG, Chaowen CHANG

“…In order to auto detect the underlying malicious code fragments in complex，heterogeneous and massive evidence data about digital forensic investigation, a framework for malicious code fragment detecting algorithm based on TensorFlow was proposed by analyzing TensorFlow model and its characteristics.Back-propagation training algorithm was designed through the training progress of deep learning.The underlying binary feature pre-processing algorithm of malicious code fragment was discussed and proposed to address the problem about different devices and heterogeneous evidence sources from storage media and such as AFF forensic containers.An algorithm which used to generate data set about code fragments was designed and implemented.The experimental results show that the comprehensive evaluation index F₁of the method can reach 0.922, and compared with CloudStrike, Comodo, FireEye antivirus engines, the algorithm has obvious advantage in dealing with the underlying code fragment data from heterogeneous storage media.…”
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An enhanced approach for automatic annotation of error codes based on Seq2edit by Jian Wang, Tao Lin, Rongsen Zhao, Huiling Zhao

“…The key to improving the performance of these models lies in automatically and accurately annotating code errors and establishing a larger training dataset. …”
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Integrating Equation Coding with Residual Networks for Efficient ODE Approximation in Biological Research by Ziyue Yi

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Quality enhancement of VVC intra-frame coding for multimedia services over the Internet by Seunghyun Cho, Dong-Wook Kim, Seung-Won Jung

“…Finally, grouped residual dense blocks are connected to comprise a hierarchical grouped residual dense block so that hierarchical features from grouped residual dense blocks can also be exploited for quality enhancement of versatile video coding intra-coded images. Various non-architectural and architectural aspects affecting the training efficiency and performance of hierarchical grouped residual dense network are explored. …”
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Unsupervised Machine Learning for Effective Code Smell Detection: A Novel Method by Ruchin Gupta, Narendra Kumar, Sunil Kumar, Jitendra Kumar Seth

“…Among these, supervised machine learning (SML) has shown effectiveness in detecting code smells. However, SML techniques have significant limitations, including the dependency on expensive and high-quality labeled data, the need for representative training datasets, and the risk of introducing biases in labeled examples that lead to skewed predictions. …”
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Detection and Classification of Dress Code Violations in Educational Environments Using Deep Learning by Aminu Suleiman Bashir, Ahmed Ibrahim Mahmud, Muhammad Yahya

“…The result achieved demonstrates that the model works efficiently, reaching a training accuracy of 98% and a validation accuracy of 96%, and with overall scores for precision, recall, and F1-score exceeding 97%, thereby proving its effectiveness in different dress code categories. …”
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Binary Large Object-Based Approach for QR Code Detection in Uncontrolled Environments by Omar Lopez-Rincon, Oleg Starostenko, Vicente Alarcon-Aquino, Juan C. Galan-Hernandez

“…The proposal consists in recognizing geometrical features of QR code using a binary large object- (BLOB-) based algorithm with subsequent iterative filtering QR symbol position detection patterns that do not require complex processing and training of classifiers frequently used for these purposes. …”
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Synthetic Data Generation Using Large Language Models: Advances in Text and Code by Mihai Nadas, Laura Diosan, Andreea Tomescu

“…This survey reviews how large language models (LLMs) are transforming synthetic training data generation in both natural language and code domains. …”
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SynergyBug: A deep learning approach to autonomous debugging and code remediation by Hong Chen

“…GPT-3 applies the generated embeddings to produce code fixes, code snippets, as well as detailed explanations that address detected problems. …”
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Cloud software code generation via knowledge graphs and multi-modal learning by Fanlong Zhang, Huanming Chen, Quan Chen, Jianqi Liu

“…Experiments on two processed open-source datasets demonstrate that our method, without relying on extensive pre-training, achieves superior results compared to existing pretrained models across BLEU-4, CodeBLEU, and ROUGE-L metrics, paving the way for more efficient and intelligent cloud-native software development.…”
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GC-Like LDPC Code Construction and its NN-Aided Decoder Implementation by Yu-Lun Hsu, Li-Wei Liu, Yen-Chin Liao, Hsie-Chia Chang

“…Different from existing model-driven methodologies only suitable for short codes, a Globally-Coupled Like (GC-like) LDPC code construction is presented to enable efficient training with simplified neural networks for longer LDPC codes. …”
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Design and psychometric properties of a tool to assess Adherence to the Code of Ethics in Midwifery by Zahra Kiani, Masoumeh Simbar, Abbas Ebadi, Soheila Nazarpour

“…However, there is no tool to assess adherence to codes of ethics in midwifery. This study aims to design and evaluate the psychometric properties of a tool to measure Adherence to the Code of Ethics in Midwifery (ACEM). …”
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MAGECODE: Machine-Generated Code Detection Method Using Large Language Models by Hung Pham, Huyen Ha, van Tong, Dung Hoang, Duc Tran, Tuyen Ngoc Le

“…MageCode utilizes the pre-trained model CodeT5+ to extract semantic features from source code inputs and incorporates metric-based techniques to enhance accuracy. …”
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PRACTICAL TRAINING: MATRIX TECHNOLOGY OF ORGANIZATION by Ksenia L. Polupan

“…The article analyzes legal and methodological materials, which standardize the process of organization and carrying out of student practical training. The author classifies theoretical approaches to practical training design, matrix technology of its organization, and presents the main ways of implementing the suggested approaches on the example of bachelor training in the field of Pedagogical Education (code: 44.03.01).…”
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Predictive goal coding by dentate gyrus somatostatin-expressing interneurons in male mice by Mei Yuan, Aurore Cazala, Sven Goedeke, Christian Leibold, Jonas-Frederic Sauer, Marlene Bartos

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Onomastic Code in the Works of Dina Rubina “Napoleon Convoy” and “The White Dove of Cordoba” by L. G. Kihney, E. S. Tulusheva

“…The semantic and plot-generating functions of the onomastic paradigm in the works of Dina Rubina “Napoleon wagon train” and “The White Dove of Cordoba” is examined in the article. …”
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Bursts and isolated spikes code for opposite movement directions in midbrain electrosensory neurons. by Navid Khosravi-Hashemi, Maurice J Chacron

“…However, directional selectivity has been traditionally quantified by using the full spike train, which does not take into account particular action potential patterns. …”
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Research on Compression Algorithm of Zone Controller Record DataBased on Huffman Coding by WANG Fuyuan, LEI Chengjian, REN Jianxin

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Automated Assessment of Quality of Jupyter Notebooks Using Artificial Intelligence and Big Code by Priti Oli, Rabin Banjade, Lasang Jimba Tamang, Vasile Rus

“…We also experimented with semantic code embeddings to capture the notebooks' semantics. …”
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WORKING WITH VISUALLY-IMPAIRED PERFORMERS IN PIANO CLASS by Julia P. Antonova, Vitaliy V. Kalitskiy

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