Harnessing deep learning to monitor people’s perceptions towards climate change on social media by Ana Sofia Cardoso, Catarina da Silva, Andrea Soriano-Redondo, Ivan Jarić, Susana Batel, João Andrade Santos, Alípio Jorge, Ana Sofia Vaz

“…., wildfires, storms). The classification of sentiments, emotions, and irony was also efficient, with evaluation metrics ranging from 71 to 92%. …”
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Gully Erosion Susceptibility Prediction Using High-Resolution Data: Evaluation, Comparison, and Improvement of Multiple Machine Learning Models by Heyang Li, Jizhong Jin, Feiyang Dong, Jingyao Zhang, Lei Li, Yucheng Zhang

“…Gully erosion is one of the significant environmental issues facing the black soil regions in Northeast China, and its formation is closely related to various environmental factors. …”
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IMpc-PyrYOLO: Hybrid YOLO Based Feature Pyramidal Network for Pest Detection in Rice Leaves by Ramesh Shunmugam, Sumendra Yogarayan, Siti Fatimah Abdul Razak, Md. Shohel Sayeed

“…In order to overcome these existing issues, a novel improved efficient channel attention mechanism assisted feature pyramidal network-based YOLO model (IMpc-PyrYOLO) for rice leaf pest detection. …”
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MultiSEss: Automatic Sleep Staging Model Based on SE Attention Mechanism and State Space Model by Zhentao Huang, Yuyao Yang, Zhiyuan Wang, Yuan Li, Zuowen Chen, Yahong Ma, Shanwen Zhang

“…This paper introduces an innovative deep learning architecture, MultiSEss, aimed at solving key issues in automatic sleep stage classification. The MultiSEss architecture utilizes a multi-scale convolution module to capture signal features from different frequency bands and incorporates a Squeeze-and-Excitation attention mechanism to enhance the learning of channel feature weights. …”
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Assessment of groundwater quality and soil salinization risks in the central Tunisia aquifer systems: water resources management and public health implications by Zouhour Moussaoui, Fatma Ben Brahim, Mongi Hamdi, Naima Hidouri, Hamed Younes, Salem Bouri

“…The study also uses the Ascending Hierarchical Classification (AHC) to identify three water groups, highlighting risks related to soil salinisation and sodisation. …”
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RoadDiffBox: Automatic Road Distress Diagnosis through Controlled Image Generation and Semi-Supervised Learning by Yuanyuan Hu, Ning Chen, Hancheng Zhang, Yue Hou, Pengfei Liu

“…Performance evaluations demonstrate RoadDiffBox’s effectiveness, with classification models achieving an F1-score of 0.95 and detection models reaching a mean average precision (mAP@50) of 0.95 and an F1-score of 0.91 in controlled settings, while maintaining robust performance (an F1-score of 0.86 and a mAP@50 of 0.91) during on-site testing in real-world conditions. …”
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Quantum classical hybrid convolutional neural networks for breast cancer diagnosis by Qiuyu Xiang, Dongfen Li, Zhikang Hu, Yuhang Yuan, Yuchen Sun, Yonghao Zhu, You Fu, Yangyang Jiang, Xiaoyu Hua

“…Their restricted capacity for generalization makes it challenging to maintain consistent performance across multiple data sets. To address these issues, this paper adds a quantum convolutional layer to the classical convolutional neural network to take advantage of quantum computing to improve learning efficiency and processing speed. …”
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METHODOLOGY FOR ACCOUNTING THE INFLUENCE OF METEOROLOGICAL FACTORS ON THE EFFICIENCY OF APPLICATION OF UNMANNED AERIAL VEHICLES ON THE BASIS OF SYSTEM ANALYSIS by I. E. Kuznetsov, A. V. Melnikov, E. A. Rogozin, O. V. Strashko

“…A classification of destabilising influences (DI) affecting the performance of a UAV flight mission is developed and presented. …”
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Federated Learning Based on an Internet of Medical Things Framework for a Secure Brain Tumor Diagnostic System: A Capsule Networks Application by Roman Rodriguez-Aguilar, Jose-Antonio Marmolejo-Saucedo, Utku Köse

“…However, challenges related to performance and data privacy often arise when using medical data from patients and healthcare institutions. To address these issues, new approaches have emerged, such as federated learning. …”
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A Reinforcement Learning-Based Generative Approach for Event Temporal Relation Extraction by Zhonghua Wu, Wenzhong Yang, Meng Zhang, Fuyuan Wei, Xinfang Liu

“…Despite extensive efforts in this area, the existing methods face two main issues. Firstly, the previous models for event temporal relation extraction mainly rely on a classification framework, which fails to output the crucial contextual words necessary for predicting the temporal relations between two event triggers. …”
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Machine Learning-Based Security Solutions for IoT Networks: A Comprehensive Survey by Abdullah Alfahaid, Easa Alalwany, Abdulqader M. Almars, Fatemah Alharbi, Elsayed Atlam, Imad Mahgoub

“…However, IoT security remains a significant challenge due to vulnerabilities related to data breaches, privacy concerns, cyber threats, and trust management issues. Addressing these risks requires advanced security mechanisms, with machine learning (ML) emerging as a powerful tool for anomaly detection, intrusion detection, and threat mitigation. …”
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Investigation of criminal offences against property: typical investigative situations and problems of applying specialised knowledge by R. L. Stepaniuk, V. O. Husieva

“…It has been identified the problematic issues arising in the course of their appointment, and recommendations have been formulated to eliminate the latter and improve the efficiency of implementation of this procedural form of use of special knowledge.…”
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A Ship’s Maritime Critical Target Identification Method Based on Lightweight and Triple Attention Mechanisms by Pu Wang, Shenhua Yang, Guoquan Chen, Weijun Wang, Zeyang Huang, Yuanliang Jiang

“…To address these issues, this paper proposes a novel maritime target recognition method called DTI-YOLO (DualConv Triple Attention InnerEIOU-You Only Look Once). …”
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Culpa in Contrahendo: A Testimony to the Changing Methodologies in Private International Law by Maria-Anna Zachariasiewicz, Maciej Zachariasiewicz

“…Furthermore, the legal nature of culpa in contrahendo has long been the subject of debate, with some legal systems favouring its classification as a contractual matter and others as a delict. …”
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Metal–organic framework-based smart stimuli-responsive drug delivery systems for cancer therapy: advances, challenges, and future perspectives by Ziliang Guo, Yuzhen Xiao, Wenting Wu, Man Zhe, Peiyun Yu, Sujan Shakya, Zhihui Li, Fei Xing

“…Abstract Cancer treatment is currently one of the most critical healthcare issues globally. A well-designed drug delivery system can precisely target tumor tissues, improve efficacy, and reduce damage to normal tissues. …”
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The influence of age, gender and pharmacogenetic profiles on the perspective on medicines in the German EMPAR study. by Veronica Atemnkeng Ntam, Tatjana Huebner, Michael Steffens, Christoph Roethlein, Britta Haenisch, Julia Stingl, Roland Linder, Catharina Scholl

“…<h4>Results</h4>Overuse, PSM and Benefit scores were significantly higher among patients of the collective International Classification of Diseases and Health Related Disorders (ICD)-10 Y57.9! …”
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Hybrid AI and semiconductor approaches for power quality improvement by Ravikumar Chinthaginjala, Asadi Srinivasulu, Anupam Agrawal, Tae Hoon Kim, Sivarama Prasad Tera, Shafiq Ahmad

“…The study also highlighted the complications of handling imbalanced datasets, as indicated by classification warnings, emphasizing the importance of improved preprocessing and model adjustments for reliable predictions. …”
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The effect of the irrigation solutions on dentin organic components: Pilot study by Z. S. Khabadze, Yu. A. Generalova, Yu. A. Taptun, L. A. Kozhevnikova, F. Ya. Gadzhiev, M. Yu. Dashtieva

“…Tooth decay and its complications are prevalent dental issues among adults. Endodontic treatment is the standard of care for complicated caries, specifically pulpitis and periodontitis. …”
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Defect R-CNN: A Novel High-Precision Method for CT Image Defect Detection by Zirou Jiang, Jintao Fu, Tianchen Zeng, Renjie Liu, Peng Cong, Jichen Miao, Yuewen Sun

“…Defect detection in industrial computed tomography (CT) images remains challenging due to small defect sizes, low contrast, and noise interference. To address these issues, we propose Defect R-CNN, a novel detection framework designed to capture the structural characteristics of defects in CT images. …”
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International alliance of Urolithiasis (IAU) guideline on percutaneous nephrolithotomy by G. Zeng, W. Zhong, G. Mazzon, S. Choong, M. Pearle, M. Agrawal, C. M. Scoffone, C. Fiori, M. I. Gökce, W. Lam, K. Petkova, K. Sabuncu, N. K. Gadzhiev, A. Pietropaolo, E. Emiliani, K. Sarica

“…The quality of the evidence was graded using a classification system modified from the Oxford Center for Evidence-Based Medicine Levels of Evidence. …”
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