Multi-Scale Feature Fusion Model for Bridge Appearance Defect Detection by Rong Pang, Yan Yang, Aiguo Huang, Yan Liu, Peng Zhang, Guangwu Tang

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A multi-tiered feature selection model for android malware detection based on Feature discrimination and Information Gain by Parnika Bhat, Kamlesh Dutta

“…A large number of irrelevant features has become the performance bottleneck of the detection mechanism. …”
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Smart train control and monitoring system with predictive maintenance and secure communications features by Alfian Akbar Gozali, Muhammad Faris Ruriawan, Andry Alamsyah, Yudha Purwanto, Ade Romadhony, Febry Pandu Wijaya, Fifin Nugroho, Dewi Nala Husna, Agri Kridanto, Anang Fakhrudin, Mu’ammar Itqon, Sri Widiyanesti

“…On top of the proprietary TCMS system, the authors designed an intelligent TCMS fitted with two main functions. First, the data analytics features predict the product age and deliver real-time notifications. …”
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Copy-Move Forgery Verification in Images Using Local Feature Extractors and Optimized Classifiers by S. B. G. Tilak Babu, Ch Srinivasa Rao

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A Study of Feature Combination for Vehicle Detection Based on Image Processing by Jon Arróspide, Luis Salgado

“…Video analytics play a critical role in most recent traffic monitoring and driver assistance systems. …”
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Cloud-Based Intrusion Detection Approach Using Machine Learning Techniques by Hanaa Attou, Azidine Guezzaz, Said Benkirane, Mourade Azrour, Yousef Farhaoui

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An explainable feature selection framework for web phishing detection with machine learning by Sakib Shahriar Shafin

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An AI framework for counterattack detection and decision-making evaluation in football by Jiangyan Yang, Huanmin Ge, Yixiong Cui

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The Bright Feature Transform for Prominent Point Scatterer Detection and Tone Mapping by Gregory D. Vetaw, Suren Jayasuriya

“…This paper introduces a fast image-processing method to visually identify and detect point scatterers in synthetic aperture imagery using the bright feature transform (BFT). …”
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Video Analytic Based Health Monitoring for Driver in Moving Vehicle by Extracting Effective Heart Rate Inducing Features by Kanghyu Lee, David K. Han, Hanseok Ko

“…In contrast, this paper proposes a practical video analytic framework under actual driving conditions by extracting key HR inducing features. …”
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Predictive Analytics in Maternal Health: A Machine Learning Approach for Classification of Preeclampsia by Pakiza Amin, Saima Gulzar Ahmad, Hikmat Ullah Khan, Ehsan Ullah Munir, Naeem Ramzan

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Towards a minimum universal features set for IoT DDoS attack detection by Osama Ebrahem, Salah Dowaji, Suhel Alhammoud

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Deep reinforced cognitive analytics algorithm (DRCAM): An advanced method to early detection of cognitive skill impairment using deep learning and reinforcement learning by Sunita Patil, Dr. Swetta Kukreja

“…Improvement in accuracy and intervention with discussable efficacy and potential for explanation is seen when benchmarked against conventional cognition. • Proposed the Deep Reinforced Cognitive Analytics Algorithm (DRCAM) for multimodal data. • The proposed model outperforms traditional models in cognitive skill impairment detection. • Demonstrated scalability for diverse healthcare datasets.…”
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D₂X: Depression Detection System Through X Using Hybrid Machine Learning by Thara Angskun, Suda Tipprasert, Atitthan Thippongtorn, Jitimon Angskun

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Music Classification and Detection of Location Factors of Feature Words in Complex Noise Environment by Yulan Xu, Qiaowei Li

“…In order to solve the problem of the influence of feature word position in lyrics on music emotion classification, this paper designs a music classification and detection model in complex noise environment. …”
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Enhancing public cloud resilience: an analytical review of detection and mitigation strategies against economic denial of sustainability attacks by Zubaidi Maytham Sahar Saeed, Anazida Binti Zainal, Fuad A. Ghaleb, Bander Ali Saleh Al-rimy

“…Beyond merely cataloguing these methods, this review provides a novel analytical synthesis by categorizing defense strategies into detection, prevention, mitigation, and hybrid models, and critically evaluating them against factors such as scalability, computational overhead, and false-positive rates. …”
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Optimizing Heart Disease Prediction: A Comparative Analysis of Tree-Based Ensembles With Feature Expansion and Selection by K. Aswini, Kriti Arya

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GFDet: Multi-Level Feature Fusion Network for Caries Detection Using Dental Endoscope Images by Nan Gao, Yukai Li, Peng Chen, Jijun Tang, Tianshuang Liu

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RHCrackNet: Refined Hierarchical Feature Fusion and Enhancement Network for Pixel-Level Pavement Anomaly Detection by Wenjing Liu, Zhenhua Li, Ji Wang, Qingjie Lu

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Application of Permutation Entropy in Feature Extraction for Near-Infrared Spectroscopy Noninvasive Blood Glucose Detection by Xiaoli Li, Chengwei Li

“…Finally, the support vector regression and partial least square regression are used to establish the mathematical model between the characteristic spectral data and glucose concentration, and the results are compared with conventional feature extraction methods. Results show that the proposed new method can extract useful information from near-infrared spectra, effectively solve the problem of characteristic wave band extraction, and improve the analytical accuracy of spectral and model stability.…”
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