Abstract: The human classification of software requirements, a difficult subjective process prone to inconsistencies and classification errors, is a major difficulty in software requirement ...
Abstract: Self-supervised models are shaping the future of point cloud processing by minimizing reliance on labeled data and addressing the challenges associated with point cloud annotation.
Abstract: Diabetic eye diseases such diabetic retinopathy, cataracts, and macular edema are the primary risks to visual acuity if they are not appropriately detected. In order to guarantee appropriate ...
Abstract: Service engineering faces a tough challenge when it comes to the protection of transmission lines due to a complex and loaded network. In this paper, a hybrid k-PCA-SVM-based approach is ...
Abstract: Class imbalanced classification presents a considerable difficulty in machine learning, as conventional algorithms typically exhibit bias towards the majority class, compromising minority ...
Abstract: Classification of Global Navigation Satellite System (GNSS) signals into Line-of-Sight (LOS) and Non-Line-ofSight (NLOS) is necessary for improved positioning accuracy in multipath-prone ...
Abstract: Early detection of lung cancer is highly beneficial for patient survival. This paper proposes a hybrid deep learning diagnostic pipeline for pulmonary nodules in chest CT. We constructed a ...
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Photoshop tutorial: Vanishing point!
Photoshop cc tutorial showing how to use the Vanishing Point filter to place logos and other images in perspective onto photographs. Why Congress can't claw back war powers from Trump Latest weather ...
Abstract: The increasing reliance on smart grids, coupled with the integration of renewable energy and growing cyber-physical interactions, has heightened the vulnerability of power systems to both ...
Abstract: Lung nodule detection in computed tomography (CT) imaging is crucial for the early diagnosis and treatment of lung disorders. This study explores the application of deep learning algori thms ...
Abstract: The study seeks to determine the effect of blending the eradicate CNN-SVM model on accurately identifying tennis serve shot movements. The model utilizes a large dataset of high-definition ...
Abstract: Object detection and classification have shown a great interest in the recent past. It helps to enhance efficiency, security, and safety in broad applications, including traffic management, ...
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