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AZoM1d
Smart Coating Design: Using Machine Learning to Predict Durability
Researchers developed a two-stage ML model to predict coating degradation by linking environmental factors to physical ...
C&EN1d
Machine learning helps improve accuracy and efficiency of small-molecule calculations
Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, ...
Devdiscourse2d
AI tools achieve high precision in cervical cancer staging and survival prediction
The study found that deep learning models, especially CNNs, were the most frequently implemented technique (61.2%), followed ...
AlphaGalileo3d
Machine vision + deep learning: how to achieve fast and accurate fruit grading?
Dr. Muhammad Waqar Akram and his team from the Department of Farm Machinery and Power at University of Agriculture Faisalabad ...
Tech Xplore9d
Innovative detection method makes AI smarter by cleaning up bad data before it learns
In the world of machine learning and artificial intelligence, clean data is everything. Even a small number of mislabeled ...
Nanowerk15d
Quantum computers boost machine learning algorithms
Small-scale quantum computers can enhance machine learning performance, as shown in an experimental study using a photonic ...
Frontiers18d
Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China
WA is an image segmentation algorithm that can detect ... result through a voting mechanism (Wu and Zhang, 2019). SVM is a machine learning algorithm used to address binary classification problems ...
IEEE27d
Sample Denoising and Optimization Technique Based on Noise Filtering and Evolutionary Algorithms for Imbalanced Data Classification
A genetic algorithm (GA ... Then, the selected train set is used to develop classification model using five classifier, i.e., decision tree, logistic regression, support vector machine, k-nearest ...