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821
Deep learning-based object detection algorithms in medical imaging: Systematic review
Published 2025-01-01“…Our review of existing trends in DL-based object detection in medical images offers insights for future research directions. …”
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822
Optimization of Neighborhood Public Space Design Based on Physical Environment Simulation and Crowd Simulation—A Case Study of Xiaomi’s Changping Campus
Published 2024-10-01“…This paper selects the Xiaomi Beijing Changping II design project, simulates and deduces the physical environment of its location, simulates the results of the natural environment by using the data of sunshine, wind, and water catchment in the physical environment, and then simulates the crowd’s action paths by combining kinetic algorithms and ant algorithms to optimise the design methods, processes, and results of the neighbourhood public space on the basis of this research. …”
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823
Static Analysis-based Detection of Android Malware using Machine Learning Algorithms
Published 2025-09-01“…The rapid growth of Android applications has led to increased security threats, making malware detection a critical concern in cybersecurity. This research proposes a static analysis-based technique that employs machine learning for Android malware detection. …”
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824
Construction of multi-style face models based on artistic image generation algorithms
Published 2025-08-01“…The research results indicated that the new algorithmic model could improve the data metrics of face models. …”
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825
Security in Post-Quantum Era: A Comprehensive Survey on Lattice-Based Algorithms
Published 2025-01-01“…Unlike traditional cryptographic algorithms, lattice-based schemes are expected to remain secure even in the presence of quantum attacks, making them essential for securing future data. …”
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826
Approximation Algorithms for Maximum Link Scheduling under SINR-Based Interference Model
Published 2015-07-01“…To date, several approximation algorithms have been proposed to solve MLS under the SINR-based interference model. …”
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827
A novel Smishing defense approach based on meta-heuristic optimization algorithms
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828
Population-Based Redundancy Control in Genetic Algorithms: Enhancing Max-Cut Optimization
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829
Generating the Flood Susceptibility Map for Istanbul with GIS-Based Machine Learning Algorithms
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830
Performance and improvement of deep learning algorithms based on LSTM in traffic flow prediction
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831
Prediction and Optimization of Civil Aviation Flight Delays Based on Machine Learning Algorithms
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832
Weed Detection Algorithms in Rice Fields Based on Improved YOLOv10n
Published 2024-11-01“…Therefore, this paper presents an improved weed detection algorithm, YOLOv10n-FCDS (YOLOv10n with FasterNet, CGBlock, Dysample, and Structure of Lightweight Detection Head), using UAV images of <i>Sagittaria trifolia</i> in rice fields as the research object, to address challenges like the detection of small targets, obscured weeds and weeds similar to rice. …”
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833
Research Status of Control Strategy for Hybrid Electric Vehicle
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834
Vision-based detection algorithm for monitoring dynamic change of fire progression
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835
Optimal Speed and Position Controller for PMDC Motor Based GWO Algorithm
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836
Prioritized Experience Replay–Based Path Planning Algorithm for Multiple UAVs
Published 2024-01-01“…First, we adopt a PER mechanism based on temporal difference (TD) error to enhance the efficiency of experience utilization and accelerate the convergence speed of the algorithm. …”
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837
Load Estimation Algorithm Based on Extended Kalman Filter for Freight Train
Published 2024-10-01“…This paper presents a load estimation algorithm based on extended Kalman filter (EKF) for freight trains, in response to their flexibility in traction weight. …”
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838
Design and Control for Piezoelectric Energy Harvester Based on a Heuristic Optimization Algorithms
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839
A Detailed Comparison of Two New Heuristic Algorithms Based on Gazelles Behavior
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840
Computational methods for automatic traffic signs recognition in autonomous driving on road: A systematic review
Published 2024-12-01“…The Traffic sign recognition has been developed to identify various shapes, sizes, orientations, and appearances of signs in diverse conditions. Researchers have proposed numerous algorithms to address these challenges. …”
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