Slovene and Croatian word embeddings in terms of gender occupational analogies by Matej Ulčar, Anka Supej, Marko Robnik-Šikonja, Senja Pollak

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Robust Target Detection and Estimation for Airborne STAP Radar With Arbitrary Array Errors and Target Uncertainty by Jianxin Wu, Yang Zhao, Changxian Li, Peng Shen

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Classification of Russian Texts by Genres Based on Modern Embeddings and Rhythm by Ksenia Vladimirovna Lagutina

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Emotion on the edge: An evaluation of feature representations and machine learning models by James Thomas Black, Muhammad Zeeshan Shakir

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Design of hybrid machine learning and TF-IDF models to discard irrelevant reviews on public transport stations by Manuel Méndez, Mercedes G. Merayo, Manuel Núñez

“…Our experiments show that the combination of Term Frequency-Inverse Document Frequency (TF-IDF) and machine learning models, such as Support Vector Machine and Random Forest, yields the best results overall. …”
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Functional literacy of students as a benchmark of modern education by N. A. Aksenova, N. L. Moskovskaya

“…The study traces the vector of the historical development of the concept of functional literacy, the prerequisites for its appearance, as well as its relevance and significance in different historical periods of time. …”
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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

“…By integrating supervised machine learning models trained on the UNSW-NB15 dataset, we evaluate Random Forest (RF), Decision Trees (DT), and Support Vector Machines (SVM), with the Random Forest classifier achieving a notable accuracy of 99.32%. …”
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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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AI driven prediction of early age compressive strength in ultra high performance fiber reinforced concrete by Mohamed Abdellatief, Wafa Hamla, Hassan Hamouda

“…These models include support vector regression (SVR), random forest (RF), artificial neural network (ANN), gradient boosting (GB), and Gaussian Process Regression (GPR). …”
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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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Integrating experimental and theoretical approaches for enhanced machine learning modeling of solar radiation by Nader Ghareeb, Abeer Alanazi, Ahmad Sedaghat, Mohamad Hussein Farhat, Arash Mehdizadeh, Hayder Salem, Mohammad Nazififard, Ali Mostafaeipour

“…In total, 28 ML models were evaluated, encompassing linear regression, support vector machines, Gaussian process regression, and neural networks. …”
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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.

“…It enables tailored dietary recommendations. Quantum Support Vector Machines (QSVM), Quantum Neural Network (QNN), and Quantum Reinforcement Learning (QRL). …”
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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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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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INVESTIGATION OF CHANGES IN THE LEVEL OF NETWORK SECURITY BASED ON A COGNITIVE APPROACH by Olha Saliieva, Yurii Yaremchuk

“… A study was conducted on the impact of the most significant threats on the level of network security based on the examination of impulse processes on a fuzzy cognitive map. A topological analysis of the structure of the cognitive map was performed, simplicial complexes were constructed, and their structural vectors were determined. …”
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Prefix “Neo” in the Cultural and Scientific Reflection by Veronika B. Zuseva-Özkan

“…The article considers the main vectors of the cultural and scientific reflection of the prefix “neo”. …”
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