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FAST Algorithm for Accurate Corner Points Detection of Section Steel Based on Adaptive Threshold
Published 2025-05-01Subjects: Get full text
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A novel hybrid approach for thyroid disease detection: Integrating cuttlefish algorithm and simulated annealing for optimal feature selection
Published 2025-12-01“…This study advances medical diagnostics by combining machine learning algorithms with nature-inspired optimization techniques to detect thyroid illnesses in their early stages. • This article proposes a novel hybrid algorithm that combines the Cuttlefish Optimization Algorithm (CFA) and Simulated Annealing (SA) to find the best features for finding thyroid disease. • The study uses machine-learning models for classification. • The integration of machine learning and nature-inspired optimization significantly enhances the diagnostic capabilities of healthcare systems, enabling prompt diagnosis and treatment planning for thyroid disorders.…”
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123
Flaw-YOLOv5s: A Lightweight Potato Surface Defect Detection Algorithm Based on Multi-Scale Feature Fusion
Published 2025-03-01“…To elevate detection accuracy as well as shorten the computational load of the model, this paper proposes a lightweight Flaw-YOLOv5s algorithm for potato surface defect detection. …”
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Target image detection algorithm of complex road scene based on improved multi-scale adaptive feature fusion technology
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Whale Optimization Algorithm-Enhanced Long Short-Term Memory Classifier with Novel Wrapped Feature Selection for Intrusion Detection
Published 2024-11-01Subjects: “…feature selection…”
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129
VCNet: Optimized Deep Learning framework with deep feature extraction and genetic algorithm for multiclass rice crop disease detection
Published 2025-12-01“…It also requires fewer parameters and takes minimum training time. • The major contribution of this study is the design of an optimized, efficient and enhanced deep learning technique for multiclass rice crop disease detection embracing with batch normalization, dropout and genetic optimization algorithm to improve generalization power and restrict the overlearning capability for seen and unseen data. • Proposed VCNet, a shallow model with deep feature extraction, employs VGG16 layers for initial extraction fused with custom CNN architecture to correctly detect the challenging classes of diseases like sheath rot in multiclass classification. • The most significant observation is that VCNet accurately predicts the rice disease for each class of diseases under study whereas the existing powerful models largely misclassified for some classes of diseases in multiclass classification.…”
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130
LLD-YOLO: A Low-Light Object Detection Algorithm Based on Dynamic Weighted Fusion of Shallow and Deep Features
Published 2025-01-01“…Object detection in low-light scenarios has a wide range of applications, but existing algorithms often struggle to preserve the scarce low-level features in dark environments and exhibit limitations in localization accuracy for blurred edges and occluded objects, leading to suboptimal performance. …”
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Detecting Malware C&C Communication Traffic Using Artificial Intelligence Techniques
Published 2025-01-01“…Subsequently, a methodology is proposed for detecting banking malware C&C communication traffic, and this methodology is tested using several feature selection algorithms to determine which feature selection algorithm performs the best. …”
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Infrared Small Target Detection Algorithm Based on Improved Dense Nested U-Net Network
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133
Deep learning-based feature selection for detection of autism spectrum disorder
Published 2025-06-01Subjects: “…autism detection…”
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App-DDoS detection method using partial binary tree based SVM algorithm
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Straight Lines Detection Based on GA with New Modification on Baron's Method
Published 2010-12-01Subjects: “…genetic algorithm…”
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Detection of GenAI-produced and student-written C# code: A comparative study of classifier algorithms and code stylometry features
Published 2025-07-01“…This study tested the ability of six classifier algorithms to detect GenAI C# code and to distinguish it from C# code written by students at a South African university. …”
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Enhanced Peer-to-Peer Botnet Detection Using Differential Evolution for Optimized Feature Selection
Published 2025-05-01“…Apart from that, an ensemble learning algorithm is also employed to support and enhance the detection phase, providing a robust defense against the dynamic and sophisticated nature of modern P2P botnets. …”
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Precision Measurement and Feature Selection in Medical Diagnostics using Hybrid Genetic Algorithm and Support Vector Machine
Published 2025-07-01Subjects: “…breast cancer detection…”
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A study for method-level code smells detection using machine learning algorithms
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DP-YOLO: A Lightweight Real-Time Detection Algorithm for Rail Fastener Defects
Published 2025-03-01“…To enable accurate and efficient real-time detection of rail fastener defects under resource-constrained environments, we propose DP-YOLO, an advanced lightweight algorithm based on YOLOv5s with four key optimizations. …”
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