Leveraging Graph Neural Networks for IoT Attack Detection by Mevlüt Uysal, Erdal Özdoğan, Onur Ceran

“…The proposed model preprocesses data by standardization, handling missing values, and encoding categorical features. It leverages GNNs to model spatial dependencies and interactions within IoT networks and utilizes XGBoost to distill complex features for predictive analysis. …”
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Detecting the Presence of Named Entities in Bengali: Corpus and Experiments by Farzana Rashid, Fahmida Hamid

“…., dataset construction and analysis) in this direction for several languages like English, Spanish, Chinese, Russian, Arabic, to name a few. …”
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Benzothiazole-quinoline based probe for simultaneous colorimetric detection of CN- and Cu2+ ions, with fluorescence sensing for Cu2+: Mechanistic insights and practical application... by P.S. Umabharathi, S. Karpagam, Tiasha Dasgupta, Ramasamy Tamizhselvi

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Toward Salient Key Phrase for Candidate Topic Detection by Yasser S. Jude, Wafaa Al-Hameed

“…We present a comprehensive approach to text analysis; it enables the use of a harmonious mix of different features that allows for precise and effective extraction of relevant information. furthermore, for sifting the later extracted key phrases into condensed thematic (topic) key phrases written under (ABSTRACT) part, superiority of the various strategies is examined, such as approximate matching with key sentences at the beginning of the text, the identification of cluster foci, and the prioritization of frequent phrases. …”
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Fire and Smoke Detection Based on Improved YOLOV11 by Zhipeng Xue, Lingyun Kong, Haiyang Wu, Jiale Chen

“…Traditional object detection methods rely more on manually designed features and rules. …”
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Neural models for detection and classification of brain states and transitions by Arnau Marin-Llobet, Arnau Manasanch, Leonardo Dalla Porta, Melody Torao-Angosto, Maria V. Sanchez-Vives

“…Our approach presents a reliable and efficient tool for brain state labeling and analysis, with applications in basic and clinical neuroscience.…”
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Annotated intraoral image dataset for dental caries detection by Syed Muhammad Faizan Ahmed, Muhammad Huzaifa Ghori, Aamna Khalid, Ayesha Nooruddin, Niha Adnan, Abhishek Lal, Fahad Umer

“…Abstract This study introduces the first publicly available annotated intraoral image dataset for Artificial Intelligence (AI)-driven dental caries detection, addressing the lack of available datasets. …”
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AI-Powered Mobile App for Nuclear Cataract Detection by Alicja Anna Ignatowicz, Tomasz Marciniak, Elżbieta Marciniak

“…The process involves identifying pathological features and assessing the severity of the detected condition, enabling comprehensive characterization of the NC (nuclear cataract) of cataract progression based on the LOCS III scale classification. …”
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Adaptive Anomaly Detection Framework Model Objects in Cyberspace by Hasan Alkahtani, Theyazn H. H. Aldhyani, Mohammed Al-Yaari

“…The information gain method was applied to select the relevant features from the network dataset. These network features were significant to improve the classification algorithm. …”
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Optimal Partitioning of Unbalanced Datasets for BGP Anomaly Detection by Rahul Deo Verma, Pankaj Kumar Keserwani, Vinesh Kumar Jain, Mahesh Chandra Govil, M. W. P. Maduranga, Valmik Tilwari

“…These trace files were processed using MATLAB to extract and organize the necessary features, thereby generating suitable datasets for analysis, which are referred to as Dataset-1 and Dataset-2. …”
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Development of Autonomous Electric USV for Water Quality Detection by Chiung-Hsing Chen, Yi-Jie Shang, Yi-Chen Wu, Yu-Chen Lin

“…Countries worldwide now face the challenge of effectively and promptly detecting river pollution. Traditional river detection methods rely on manual sampling and subsequent data analysis at various sampling sites, requiring significant time and labor costs. …”
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Human papillomavirus detection in Moroccan patients with bladder cancer by Noâma Berrada, Abderrahmane Al-Bouzidi, Ahmed Ameur, Mohammed Abbar, Mohammed El-Mzibri, Rabii Ameziane-El-Hassani, Laïla Benbacer, Meriem Khyatti, Zineb Qmichou, Saaïd Amzazi, Mohammed Attaleb

“…In addition, statistical analysis demonstrated that there is no association between age or sex and HPV infection. …”
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Human Pose Estimation and Event Recognition via Feature Extraction and Neuro-Fuzzy Classifier by Muhammad Hanzla, Naif S. Alshammari, Shuaa S. Alharbi, Wasim Wahid, Nouf Abdullah Almujally, Ahmad Jalal, Hui Liu

“…Key point features are characterized through the degree of freedom, human landmark detection via the HSV algorithm, and angular point analysis using the media pipe algorithm. …”
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Series-arc-fault diagnosis using feature fusion-based deep learning model by Won-Kyu Choi, Se-Han Kim, Ji-Hoon Bae

“…Because the characteristics of series arc faults change considerably depending on the load type, their accurate detection and analysis are difficult. We propose a series-arc-fault detector that uses a transfer learning (TL)-based feature fusion model. …”
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EFINet: Efficient Feature Interaction Network for Real-Time RGB-D Semantic Segmentation by Zhe Yang, Baozhong Mu, Mingxun Wang, Xin Wang, Jie Xu, Baolu Yang, Cheng Yang, Hong Li, Rongqi Lv

“…Real-time RGB-D semantic segmentation is crucial for tasks like dynamic environment analysis of mobile robots or autonomous vehicles, real-time and efficient segmentation results can enhance the accuracy of subsequent tasks such as free space detection, mapping and navigation. …”
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Multiple model visual feature embedding and selection method for an efficient ocular disease classification by Isha Kansal, Vikas Khullar, Preeti Sharma, Supreet Singh, Junainah Abd Hamid, A. Johnson Santhosh

“…To optimize computational efficiency, a novel two-level feature selection framework combining Linear Discriminant Analysis (LDA) and advanced neural network classifiers—Deep Neural Networks (DNN), Long Short-Term Memory (LSTM), and Bidirectional LSTM (BiLSTM)—was introduced. …”
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EfficientNet-b0-Based 3D Quantification Algorithm for Rectangular Defects in Pipelines by Di Wu, Yong Hong, Jie Wang, Shaojun Wu, Zhihao Zhang, Yizhang Liu

“…To address these issues, it is necessary to establish a correlation between the leakage signal and the magnitude of the defect to make accurate predictions through regression analysis. This research introduces EffiTriDimNet (ETDN), a multi-task convolutional neural network that combines one-dimensional pipeline defect leakage detection data into a unified feature map while simultaneously measuring the three-dimensional characteristics of the defects. …”
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Application of Feature Fusion Using Coaxial Vibration Signal for Diagnosis of Rolling Element Bearings by Jing Jiao, Jianhai Yue, Di Pei, Zhunqing Hu

“…The fault classification results demonstrate that the proposed approach is a valuable tool for bearing faults detection, and the fused feature from coaxial sensors improves fault classification accuracy for REBs.…”
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Understanding Video Transformers: A Review on Key Strategies for Feature Learning and Performance Optimization by Nan Chen, Tie Xu, Mingrui Sun, Chenggui Yao, Dongping Yang

“…The video transformer model, a deep learning tool relying on the self-attention mechanism, is capable of efficiently capturing and processing spatiotemporal information in videos through effective spatiotemporal modeling, thereby enabling deep analysis and precise understanding of video content. …”
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Feature-Based Classification of Amino Acid Substitutions outside Conserved Functional Protein Domains by Branislava Gemovic, Vladimir Perovic, Sanja Glisic, Nevena Veljkovic

“…The new algorithm is based on the informational spectrum method (ISM), a feature-based technique, and statistical analysis. …”
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