Abstract: Applications like disaster management, urban planning, and environmental monitoring rely on satellite image categorization. This project develops a machine learning pipeline using ...
Abstract: Women of reproductive age are frequently affected by PCOS, a common endocrine condition that frequently results in infertility and metabolic issues. This work uses a dataset of 44 clinical ...
Abstract: Early detection of tsunamis is essential for disaster risk reduction and minimizing loss of life. This research introduces an advanced deep learning-based tsunami detection model that ...
Abstract: Data annotation in medical image segmentation is time-consuming and expensive. Semi-supervised learning (SSL) presents a viable solution. However, unlike organ segmentation, current ...
IITM Pravartak Technologies Foundation has announced admissions for the second batch of its Advanced Certificate in Applied ...
Abstract: Landslides inflict substantial societal and economic damage, underscoring their global significance as recurrent and destructive natural disasters. Recent landslides in northern parts of ...
Abstract: Parkinson's disease is a neurological disorder hat effects the movements including shaking, stiffness, difficulty while walking and speaking. This condition will occur when the nerve cells ...
Abstract: Skin cancer ranks among ubiquitous malignancies, its prevalence escalating due to ecological shifts and protracted ultraviolet (UV)exposure. This study aims to address the pressing need for ...
The chart below tracks President Donald Trump’s approval and disapproval ratings across polls. It includes all national-level results on this question which meet CNN’s standards for reporting.
Abstract: Accurate localization of user equipments (UEs) in 5G communication systems is critical for maintaining synchronization with the base stations and supporting emerging location-based services.
Federal Emergency Management Agency leaders were told to prepare for a possible gutting of their workforce — by as much as half — in the coming months, according to an internal email sent to top FEMA ...
Abstract: This paper conducts a comprehensive analysis of Convolutional Neural Network (CNN)-based deep learning models, focusing on the impact of transfer learning on their accuracy. Multiple ...
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