Quality control is a very important step in textile industry. While it is important to find out the defects in the fabric, it is also important to identify the location of the defect and to classify which type of defect ...

Survival analysis of cancer patients using Whole Slide Images (WSIs) is crucial in the field of medical statistics, as it helps identify key prognostic factors related to mortality and disease recurrence. However, ...

Given the escalating levels of food insecurity, particularly in underdeveloped nations, automated solutions of agriculture land distribution management need to be put forward. A recent surge in the generation of high-resolution ...

Irritable Bowel Syndrome (IBS) is a complex and diverse non-communicable gastroin testinal disorder associated with overlapping symptoms, psychological disorders, various co-morbidities, and phenotypes. Many theories have ...

This research proposes a framework providing proof automation for the Dynamic Fault Tree (DFT) analysis performed in the interactive theorem prover HOL4. Empowering both seasoned experts and novices alike, this framework ...

Falls among the elderly are a significant global health concern. Detecting falls accu rately and promptly can greatly reduce injuries and related expenses.At present, fall detection systems that use sensor-based data ...

The need for specialized strategies to improve health outcomes and the progression of chronic illnesses have made personalized nutritional recommendation generation a very important issue. Traditional techniques usually ...

The integrity and security of computer networks are jeopardized by network intrusions, which can result in fraudulent activities and illicit access. It interferes the network operations, which may have disastrous ...

The telecommunications industry is becoming increasingly competitive, making it necessary for businesses to use data-driven insights to develop effective marketing strategies. One of the most important pieces of customer ...

This research investigates the capabilities of remote sensing and AI-based analysis in the context of deforestation and reforestation within flood-affected regions, highlighting the impact of climate change on forest ...