Penetration Testing and Attack Automation Simulation: Deep Reinforcement Learning Approach by Ismael Jabr, Yanal Salman, Motasem Shqair, Amjad Hawash

“…Experimental tests conducted in this work reveal the effectiveness of DQN automated penetration testing by utilizing the most effective attack vectors in the attack automation process…”
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Evaluation of an inducible knockout system in insect cells based on co-infection and CRISPR/Cas9. by Christina Sophie Hausjell, Miriam Klausberger, Wolfgang Ernst, Reingard Grabherr

“…However, the co-formation of budded baculovirus during VLP production poses a severe challenge to downstream processing. In order to reduce the amount of budded baculovirus in the expression supernatant we developed an inducible knockout system based on CRISPR/Cas9 and co-infection with two baculoviral vectors: one bringing along the Cas9 nuclease and the other one having incorporated the sequence for sgRNA expression. …”
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Fraud Detection Based on Credit Review Texts with Dual Channel Memory Networks by Yansong Wang, Defu Lian, Enhong Chen

“…Graph neural networks and memory networks have strong capabilities for processing the textual data containing massive complex associations, providing a new perspective for fraud detection. …”
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Both strands of siRNA have potential to guide posttranscriptional gene silencing in mammalian cells. by Jun-Xia Wei, Jie Yang, Ji-Feng Sun, Lin-Tao Jia, Yong Zhang, Hui-Zhong Zhang, Xia Li, Yan-Ling Meng, Li-Bo Yao, An-Gang Yang

“…Transfection of the synthetic siRNA duplexes with different thermodynamic profiles or short hairpin RNA (shRNA) vectors that generate double-stranded RNAs (dsRNAs), permitting processing specifically from either the 5' or 3' end of the incipient siRNA, results in the degradation of the respective target mRNAs of either strand of the siRNA duplex with comparable efficiencies. …”
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The analysis of artificial intelligence knowledge graphs for online music learning platform under deep learning by Shen Jiang, Ningning Shi, Chang Liu

“…In addition, the platform can maintain high accuracy when processing sparse data, demonstrating stronger robustness and adaptability. …”
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A Comparative Study of Deep Learning’s Performance Methods for News Article using Word Representations by Iman Saladin B. Azhar, Winda Kurnia Sari, Naretha Kawadha Pasemah Gumay

“…In natural language processing (NLP), text classification is a crucial task that involves analyzing textual data, which often has high dimensionality. …”
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A CRISPR Cas12a/Cpf1 strategy to facilitate robust multiplex gene editing in Aspergillus Niger by Abel Peter van Esch, Samuel Mathew Maurice Prudence, Fabiano Jares Contesini, Bernd Gerhartz, Kate Elizabeth Royle, Uffe Hasbro Mortensen

“…The precursor can be processed via Cpf1 RNase activity to produce multiple functional gRNAs in vivo. …”
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Effect of Precipitates on Dislocation Loops in Vanadium Alloy After Irradiation with 60 keV Deuterium Ions at Room Temperature by Jing Wang, Mingxin Chen, Yifan Zhang, Bing Ma, Haiyan Jiang, Chang Chen

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Integrating Quantitative Analyses of Historical and Contemporary Apparel with Educational Applications by Zlatina Kazlacheva, Daniela Orozova, Nadezhda Angelova, Elena Zurleva, Julieta Ilieva, Zlatin Zlatev

“…Clothing from four historical periods was studied: Empire, Romanticism, the Victorian era, and Art Nouveau. An image processing algorithm was proposed, through which data on the shapes and colors of historical and contemporary clothing were obtained from digital color images. …”
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Use of a Method for Contour Analysis of Radiation Images of Malignant Breast Tumors on the Basis of Retrospective Material by M. K. Mikhailov, E. A. Romanycheva, V. V. Sevast’yanov, Ya. A. Furman

“…To enhance the reliability of visual analysis of X-ray mammograms, by applying the mathematical models of neoplasms and a method for their processing based on the mathematical apparatus of contour analysis.Material and methods. …”
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Conceptual and categorical apparatus of the state criminal and legal policy of countering cybercrimes by S.V. Korzun

“…The types of cybercrimes contained in the Council of Europe Convention on Cybercrime are comprehensively characterized. Based on the processed material, our own approaches to the classification of cybercrime for the purposes of state criminal and legal policy, which has a multi-level nature, have been developed. …”
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Investigating the effects of Gaussian noise on epileptic seizure detection: The role of spectral flatness, bandwidth, and entropy by Nuri Ikizler, Gunes Ekim

“…The EEG data are pre-processed with a low-pass filter at a cutoff frequency of 40 Hz, and a total of 11 features, including spectral flatness difference, spectral bandwidth difference, and entropy difference, are extracted. …”
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Q-Gen: A Parameterized Quantum Circuit Generator by Yikai Mao, Shaswot Shresthamali, Masaaki Kondo

“…In the full quantum computing workflow, most data processing remains in the classical domain except for running the quantum circuit in the quantum processor. …”
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The impact of conversational AI on consumer decision-making: A systematic review and cluster analysis by David Lopez-Lopez, Marc Bara Iniesta

“…This study presents a comprehensive analysis of the influence of conversational artificial intelligence (AI)—a subset of AI that enables machines to simulate human-like conversations through natural language processing (NLP)—on consumer decision-making within the digital marketing landscape. …”
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A comprehensive evaluation of oversampling techniques for enhancing text classification performance by Salimkan Fatma Taskiran, Bahaeddin Turkoglu, Ersin Kaya, Tunc Asuroglu

“…The results provide practical insights into the selection of oversampling techniques tailored to dataset characteristics and classifier sensitivity, supporting more robust and fair learning in imbalanced natural language processing tasks.…”
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An ensemble deep learning model for author identification through multiple features by Yuan Zhang

“…Abstract One of the challenges in the natural language processing is authorship identification. The proposed research will improve the accuracy and stability of authorship identification by creating a new deep learning framework that combines the features of various types in a self-attentive weighted ensemble framework. …”
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A Second-Classroom Personalized Learning Path Recommendation System Based on Large Language Model Technology by Qiankun Yang, Changyong Liang

“…To address the limitations of existing learning path recommendation methods—such as poor adaptability, weak personalization, and difficulties in processing long sequences of student behavior and interest data—this paper proposes a personalized learning path recommendation system for the second classroom based on large language model (LLM) technology, with a focus on integrating the pre-trained model GPT-4. …”
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Sparse DOA Estimation Method Based on Riemann Averaging under Strong Intermittent Jamming by Xiaoyu LAN, Jiyan HU, Mingshen LIANG, Shuang MA

“…Then, the covariance matrix of the processed data is vectorized to obtain virtual array reception data. …”
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Construction of a Structurally Unbiased Brain Template with High Image Quality from MRI Scans of Saudi Adult Females by Noura Althobaiti, Kawthar Moria, Lamiaa Elrefaei, Jamaan Alghamdi, Haythum Tayeb

“…Additionally, we implement computational optimizations, including parallelization and vectorized operations, to increase processing efficiency. …”
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STSG: A Short Text Semantic Graph Model for Similarity Computing Based on Dependency Parsing and Pre-trained Language Models by Hai Liao, Yan Liang, Song Chen, Lingyun Xiang, Zhimin Chang, Yun Xiao

“…Short text semantic similarity is a crucial research area in nature language processing, which is used to predict the similarity between two sentences. …”
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