Spatio-Temporal Evolution and Interactive Relationship Between Digital Economy and Green Development in China by Tingting Chen, Chunyan Lu, Yuting Lai, Mengxing Zhou, Qingping Hu, Tingyan Wang, Lingxin Bao

“…However, both domains demonstrated regional disparities in their development processes. The mutual interaction between the digital economy and green development intensified as the lag period increased. …”
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A Comparative Analysis of Machine Learning Models in News Categorization by Mohammad Hossein Zolfagharnasab, Siavash Damari

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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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A Novel Linguistic Relational Fuzzy C-Means by Peerawich Phaknonkul, Sansanee Auephanwiriyakul, Nipon Theera-Umpon

“…In real-world applications, sometimes there are uncertainties in the data sets whether from the collection process or from the natural languages. Moreover, the data may come in the form of fuzzy relation. …”
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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

“…To achieve this, we apply Natural Language Processing (NLP) techniques to numerically represent words and phrases, and artificial intelligence models to classify the text once it is numerically represented. …”
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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

“…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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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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Media bias and electoral discourse by Mar Castillo-Campos, David Becerra-Alonso, David Varona-Aramburu

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Optimization of hydrochar production from almond shells using response surface methodology, artificial neural network, support vector machine and XGBoost by Faiçal El Ouadrhiri, Abderrazzak Adachi, Imane Mehdaoui, Fatima Moussaoui, Khalil Fouad, Abdelhadi Lhassani, Mehdi Chaouch, Amal Lahkimi

“…Herein, we investigate how to improve the hydrochar yield via hydrothermal carbonization process, focusing on the use of almond shells as a carbon resource. …”
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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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