IEEE

Data-Driven Solutions for Human Trafficking: Detection and Impact Analysis Using Machine Learning

Abstract: Human trafficking is a serious problem that requires new ideas and data-driven approaches to identify and solve. In this study, we analyze large datasets to identify patterns and anomalies ...
IEEE

Automated Optic Disc and Cup Segmentation Using Mask R-CNN for Glaucoma Assessment

Abstract: Glaucoma, a leading cause of irreversible blindness, requires precise segmentation of the optic disc and optic cup in fundus images for early diagnosis and progression monitoring. This study ...
IEEE

Soil Fertility Assessment and Crop Recommendation Using Machine Learning

Abstract: Balancing the soil fertility is the crucial for sustainable agriculture since it helps maximize crop yields. The research adopts Machine Learning (ML) to construct a recommendation system ...
SciELO

Artificial intelligence in the diagnosis and management of dysphagia: a scoping review

Purpose This scoping review aimed to map and synthesize evidence on technological advancements using Artificial Intelligence in the diagnosis and management of dysphagia. We followed the PRISMA ...
GitHub

GeoOSAM - Advanced Segmentation for QGIS

SAM3 ~160MB Auto-segment/Text 0.3-0.7s N/A SAM2.1_T (CPU) ~40MB Fast CPU N/A <1s SAM2.1_B (CPU) ~80MB Balanced CPU N/A 1-2s SAM2.1_L (CPU) ~224MB Quality CPU N/A 2-3s Select a class (Buildings, Water, ...
IEEE

Heart Disease Identification Using Machine Learning Algorithm

Abstract: After all advancements in technology and times, prediction and prevention of heart diseases is still a major issue in modern days. Heart diseases play a major role in high death rate in ...
IEEE

Enhancing Nucleus and Cytoplasm Segmentation in Cervical Cytology Using Deep Learning

Abstract: Cervical cancer, with over 660,000 cases in 2022, ranks as the fourth most frequent malignancy in women globally, with low- and middle-income nations accounting for approximately 94% of the ...
IEEE

Intelligent Mineral Identification: Automated Segmentation Techniques Using Deep Learning

Abstract: Mineral identification is a foundational aspect of geological research, yet traditional approaches have been severely hindered by manual analysis—characterized by inefficient workflows and ...
IEEE

Air Quality Prediction Using Machine Learning: Systematic Literature Review

Abstract: Air pollution significantly impacts global health and the environment, causing millions of deaths annually. With rapid urbanization and industrialization, especially in countries like China, ...
UroToday

AUA 2025: Emerging Evidence in Kidney Cancer, Surgical Technology, and Stone Management

Pratik Kanabur presented a cost-effectiveness analysis of 89Zr-girentuximab PET-CT (TLX250) for managing small renal masses. Using a decision analytic model, TLX250—especially when combined with ...
IEEE

Automated Crowd Abnormality Detection and Segmentation Using Machine Learning Techniques

Abstract: Crowd analysis has evolved as a highly prominent research subject within the field of computer vision. For public safety, automated analysis of crowd dynamics from surveillance video is ...