Abstract: Strawberry production is globally significant because it contains high nutrients. Strawberry leaf disease shapes a significant barrier to strawberry cultivation worldwide. Numerous ...
Abstract: The adoption of modern encryption protocols such as TLS 1.3 has significantly challenged traditional network traffic classification (NTC) methods. As a consequence, researchers are ...
Abstract: Breast cancer is a leading cause of mortality among women, necessitating early detection for effective treatment. Accurate classification remains challenging due to the limited ability of ...
Abstract: During semiconductor manufacturing, wafer defect patterns emerge in an uncontrolled environment, making immediate recognition challenging. To enhance the classification accuracy in pattern ...
Abstract: Facial deepfake detection focuses on identifying manipulated images and videos generated by deep learning methods such as Generative Adversarial Networks (GANs) and autoencoders. Detection ...
Abstract: Alzheimer’s Disease (AD) is a progressive neurological disorder that leads to significant deterioration in cognitive functions and memory. AD is accompanied by many symptoms like memory loss ...
Abstract: Intelligent fault diagnosis using AI models is an evolving engineering technique in the manufacturing sector. It detects anomalies in machinery and improves productivity, safety, efficiency, ...
A comprehensive collection of 7 AI/ML projects from Harvard's CS50 AI course, covering fundamental and advanced topics in artificial intelligence, machine learning, and natural language processing.
Abstract: Images can be classified according to their features using machine learning classification algorithms. This paper compares the classifiers SVM, KNN, and CNN in terms of their ability to ...
Abstract: Multispectral imaging (MSI) has emerged as a powerful tool for detailed land use and land cover classification, leveraging spectral information across multiple wavelength bands. This study ...
Abstract: Action recognition based on skeleton key joints has gained popularity due to its cost effectiveness and low complexity. Existing Convolutional Neural Network (CNN) based models mostly fail ...
A machine learning system for classifying ship horn signals according to COLREG (International Regulations for Preventing Collisions at Sea) standards. This project implements complete 8-class ...
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