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Acoustic-based models to assess herd-level calves' emotional state: A machine learning approach
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142
Employees’ Satisfaction and Sentiment Analysis toward BERSATU Application
Published 2025-02-01“…Therefore, the research aims to analyze sentiment of user review on “BERSATU” application, using various algorithm classification and modeling topic. …”
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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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145
Neoantigen prioritization based on antigen processing and presentation
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146
UAV-Multispectral Based Maize Lodging Stress Assessment with Machine and Deep Learning Methods
Published 2024-12-01“…The results indicate that the Random Forest (RF) model outperforms the other four ML algorithms, achieving an overall accuracy (OA) of 89.29% and a Kappa coefficient of 0.8852. …”
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147
Target Detection Method for Soil-Dwelling Termite Damage Based on MCD-YOLOv8
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148
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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149
TS-PAID: A Two-Stage PUF-Based Lightweight Authentication Protocol for Internet of Drones
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150
Prediction of knee joint pain in Tai Chi practitioners: a cross-sectional machine learning approach
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151
Detecting Obfuscated Malware Infections on Windows Using Ensemble Learning Techniques
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152
Robust fault detection and classification in power transmission lines via ensemble machine learning models
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153
Hyperspectral estimation of chlorophyll density in winter wheat using fractional-order derivative combined with machine learning
Published 2025-01-01“…Hyperspectral monitoring models for winter wheat ChD were constructed using 8 machine learning algorithms, including partial least squares regression, support vector regression, multi-layer perceptron regression, random forest regression, extra-trees regression (ETsR), decision tree regression, K-nearest neighbors regression, and gaussian process regression, based on the full spectrum band and the band selected by competitive adaptive reweighted sampling (CARS). …”
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154
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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155
Wearable sensor-based fall detection for elderly care using ensemble machine learning techniques
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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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158
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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