A Scalable Framework for Real-Time Network Security Traffic Analysis and Attack Detection Using Machine and Deep Learning by Zineb Maasaoui, Mheni Merzouki, Abdella Battou, Ahmed Lbath

“…Leveraging Artificial Intelligence and Natural Language Processing, we apply the BERT model with a Byte-level Byte-pair tokenizer to enhance network-based attack detection in IoT systems. …”
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Image recognition method of cashmere and wool based on SVM-RFE selection with three types of features by Zhu Yaolin, Liu Kainan, Gu Meihua, Zhang Kaibing, Hu Gang

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A stacked ensemble model for traffic conflict prediction using emerging sensor data by Bowen Cai, Léah Camarcat, Nicolette Formosa, Mohammed Quddus

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Application of Quantum Recurrent Neural Network in Low-Resource Language Text Classification by Wenbin Yu, Lei Yin, Chengjun Zhang, Yadang Chen, Alex X. Liu

“…Text sentiment analysis is an important task in natural language processing and has always been a hot research topic. …”
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Automated weed and crop recognition and classification model using deep transfer learning with optimization algorithm by K. Gopalakrishnan, R. Sivaraj, M. Vijayakumar

“…In the proposed AWRC-DLMLO technique, the main phase of Gaussian filtering (GF) utilizing image pre-processing is implemented to eliminate unwanted noise. …”
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Predicting learners' engagement and help-seeking behaviors in an e-learning environment by using facial and head pose features by Guan-Yun Wang, Yasuhiro Hatori, Yoshiyuki Sato, Chia-Huei Tseng, Satoshi Shioiri

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Quantum AI: A Cognitive Machine Learning Technique based on Nurturing Food Security Sustainability Predictive Analysis for Life Science - Bioengineering in Healthcare by Senthil G.A., Monica K.M., Prabha R., Prinslin L., Elavarasi R.

“…The system starts with taking photos of food using a Convolutional Neural Network (CNN) is processed by it has a classification accuracy of 91.87%. …”
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In the battle of survival: transcriptome analysis of hypopharyngeal gland of the Apis mellifera under temperature-stress by Abdulkadir Yusif Maigoro, Jeong Hyeon Lee, Yumi Yun, Sujin Lee, Hyung Wook Kwon

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PRECONDITIONS AND DETERMINING CAUSES OF THE SHADOW ECONOMY IN UKRAINE by Z. Varnalii, I. Savych

“…The article analyzes the main processes that led to the high level of the economy shadowing. …”
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Multimodal GeoAI: An integrated spatio-temporal topic-sentiment model for the analysis of geo-social media posts for disaster management by David Hanny, Bernd Resch

“…However, workflows are traditionally sequential with independent processing steps, limiting their ability to capture interconnections between modalities and risking chains of dependencies. …”
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Comparison of Deep Learning Sentiment Analysis Methods, Including LSTM and Machine Learning by Jean Max T. Habib, A. A. Poguda

“…This project uses natural language processing (NLP), deep learning, and models such as LSTM, CNN, SVM TF-IDF, Adaboost, Naive Bayes, and then combinations of models.The results of the study allowed us to obtain and verify model results with user reviews and compare model accuracy to see which model had the highest accuracy results from the models and their combination of CNN with LSTM model, but SVM with TF-IDF vectoring was most effective for this unbalanced data set. …”
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Media bias and electoral discourse by Mar Castillo-Campos, David Becerra-Alonso, David Varona-Aramburu

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A Multi-Layered Security Framework for Medical Imaging: Integrating Compressed Digital Watermarking and Blockchain by Brahim Ferik, Lakhdar Laimeche, Abdallah Meraoumia, Omar Aldabbas, Muath AlShaikh, Abdelkader Laouid, Mohammad Hammoudeh

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Enhancing cybersecurity through autonomous knowledge graph construction by integrating heterogeneous data sources by Hatoon Alharbi, Ali Hur, Hasan Alkahtani, Hafiz Farooq Ahmad

“…Ultimately, the CKG empowers experts to efficiently analyze data and gain comprehensive understanding of cyberattacks, thereby help minimize potential attack vectors.…”
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New Challenges for Tropical Cyclone Track and Intensity Forecasting in Unfavorable External Environment in Western North Pacific. Part I. Formations South of 20° N by Russell L. Elsberry, Hsiao-Chung Tsai, Wen-Hsin Huang, Timothy P. Marchok

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Efficient Fourier base fitting on masked or incomplete structured data by Fariba Karimi, Fariba Karimi, Esra Neufeld, Arya Fallahi, Arya Fallahi, Vartan Kurtcuoglu, Niels Kuster, Niels Kuster

“…The developed method can be used for processing multi-dimensional data, including smoothing and intra-/extrapolation, even when confronted with missing data.ResultsThe developed method was verified using 1D, 2D, and 3D benchmarks. …”
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Application of five seismic attributes in natural fracture prediction for deep coalbed methane production along the eastern margin of the Ordos Basin by Jiangnan TONG, Feng WANG, Feng ZHANG, Wei HOU, Zhongbai LI, Liang JI, Yanan JIANG, Wei SUN

“…Therefore, the fine-scale characterization of the planar distribution of natural fractures is crucial to deep CBM production.Objectives and MethodsThis study investigated the No.8 coal seam in the Carboniferous Benxi Formation within the Daning-Jixian block on the eastern margin of the Ordos Basin. Through offset vector tiles (OVT) domain processing of offshore 3D wide-azimuth, broadband, and high-density (WBH) seismic data, this study determined five-dimensional seismic data: time, space (3D coordinates), offset (or shot-to-geophone distance), and azimuth. …”
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Depression Analysis and Detection Using Machine Learning: Incorporating Gender Differences in a Comparative Study by Marina Galanina, Anna Rekiel, Anna BaCzyk, Bozena Kostek

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CONCEPT OF FINANCIAL FLOW MANAGEMENT OF ENTERPRISE CORPORATE SECURITY SYSTEM by Olena Sergienko, Nataliia Volosnikova, Natalia Reshetniak, Maryna Mashchenko, Valeria Baranova

“…It is confirmed that modeling of financial resources of integrated logistics processes makes it possible not only to form the optimal vector of strategic goals of the multi-purpose model of integrated logistics processes but also to identify the interconnection between the composition and volume of incoming and outgoing financial flows of all enterprise integrated processes. …”
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From Narratives to Diagnosis: A Machine Learning Framework for Classifying Sleep Disorders in Aging Populations: The <i>sleepCare</i> Platform by Christos A. Frantzidis

“…<b>Results</b>: The transformer-based model utilizing BERT embeddings and an optimized Support Vector Machine classifier achieved an overall accuracy of <b>81%</b> on the test set. …”
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