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Cowpea genetic diversity, population structure and genome-wide association studies in Malawi: insights for breeding programs
Published 2025-01-01“…The study assessed the effects of genotype, location, and their interactions on morphological traits. The Fixed and Random Model Circulating Probability Unification (FarmCPU) algorithm was used to identify significant MTAs.ResultsThe morphological traits showed significant genotype, location, and interaction effects. …”
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82
Target Detection Method for Soil-Dwelling Termite Damage Based on MCD-YOLOv8
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83
ProCAPTCHA: A profile-based CAPTCHA for personal password authentication.
Published 2024-01-01“…ProCAPTCHA leverages keystroke dynamics and personal information to create unique CAPTCHAs that are difficult for intruders to solve. ProCAPTCHA's algorithm generates CAPTCHA based on the user's profile data, ensuring randomness and uniqueness for each login. …”
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TS-PAID: A Two-Stage PUF-Based Lightweight Authentication Protocol for Internet of Drones
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85
Prediction of knee joint pain in Tai Chi practitioners: a cross-sectional machine learning approach
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86
Detecting Obfuscated Malware Infections on Windows Using Ensemble Learning Techniques
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87
Robust fault detection and classification in power transmission lines via ensemble machine learning models
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88
Fog Service Placement Optimization: A Survey of State-of-the-Art Strategies and Techniques
Published 2025-03-01“…To solve this problem, various authors proposed different algorithms like the randomized algorithm, heuristic algorithm, meta heuristic algorithm, machine learning algorithm, and graph-based algorithm for finding the optimal placement. …”
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Precision autofocus in optical microscopy with liquid lenses controlled by deep reinforcement learning
Published 2024-12-01“…We explored various action group design methods and improved the microscope autofocus speed to an average of 3.15 time steps. Additionally, parallel “state” dataset lists with random sampling training are proposed which enhances the model’s adaptability to unknown samples, thereby improving its generalization capability. …”
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Detection of kidney bean leaf spot disease based on a hybrid deep learning model
Published 2025-04-01“…Based on this dataset, a novel hybrid deep learning model framework is proposed, which integrates deep learning models (EfficientNet-B7, MobileNetV3, ResNet50, and VGG16) for feature extraction with machine learning algorithms (Logistic Regression, Random Forest, AdaBoost, and Stochastic Gradient Boosting) for classification. …”
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Burnout protective patterns among oncology nurses: a cross-sectional study using machine learning analysis
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Wearable sensor-based fall detection for elderly care using ensemble machine learning techniques
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Enhanced water saturation estimation in hydrocarbon reservoirs using machine learning
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Improving fluoroprobe sensor performance through machine learning
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SAC-Based Intelligent Load Relief Attitude Control Method for Launch Vehicles
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Identifying the Peak Flowering Dates of Winter Rapeseed with a NBYVI Index Using Sentinel-1/2
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