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Features of Unmanned Aircraft Detection Using Precision Approach Radar
Published 2022-06-01“…An analytical method was used for determining the maximum detection range for a precision approach radar, taking into account UAV characteristics. …”
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A multi-tiered feature selection model for android malware detection based on Feature discrimination and Information Gain
Published 2022-11-01“…A large number of irrelevant features has become the performance bottleneck of the detection mechanism. …”
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Predictive Analytics in Maternal Health: A Machine Learning Approach for Classification of Preeclampsia
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Smart train control and monitoring system with predictive maintenance and secure communications features
Published 2025-05-01“…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
Published 2023-09-01Get full text
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A Study of Feature Combination for Vehicle Detection Based on Image Processing
Published 2014-01-01“…Video analytics play a critical role in most recent traffic monitoring and driver assistance systems. …”
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An explainable feature selection framework for web phishing detection with machine learning
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28
An AI framework for counterattack detection and decision-making evaluation in football
Published 2025-04-01Get full text
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29
The Bright Feature Transform for Prominent Point Scatterer Detection and Tone Mapping
Published 2025-03-01“…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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GFDet: Multi-Level Feature Fusion Network for Caries Detection Using Dental Endoscope Images
Published 2024-12-01Get full text
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Video Analytic Based Health Monitoring for Driver in Moving Vehicle by Extracting Effective Heart Rate Inducing Features
Published 2018-01-01“…In contrast, this paper proposes a practical video analytic framework under actual driving conditions by extracting key HR inducing features. …”
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D₂X: Depression Detection System Through X Using Hybrid Machine Learning
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Towards a minimum universal features set for IoT DDoS attack detection
Published 2025-04-01Get full text
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Music Classification and Detection of Location Factors of Feature Words in Complex Noise Environment
Published 2021-01-01“…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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Deep reinforced cognitive analytics algorithm (DRCAM): An advanced method to early detection of cognitive skill impairment using deep learning and reinforcement learning
Published 2025-06-01“…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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Multiscale Information Fusion Based on Large Model Inspired Bacterial Detection
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Enhancing public cloud resilience: an analytical review of detection and mitigation strategies against economic denial of sustainability attacks
Published 2025-07-01“…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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A Hybrid Deep Learning Model to Accurately Detect Anomalies in Online Social Media
Published 2022-11-01“…Therefore, one of the most significant data analytic activities for identifying normal and deviant individuals on social networks is abnormality detection. …”
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