In this paper, we propose a cost-effective deep learning solution for diagnosing GI diseases, focusing on GERD and colorectal polyps, through endoscopic images. We explore the problems of executing high-performance AI ...

This paper presents research on the deep learning methods and how the methods can be used in detecting three of the common corns on the leaves. A dataset was collected containing more than 4,000 actual pictures of contaminated ...

The growth of indoor plants depends heavily on environmental conditions yet researchers have not conducted enough quantitative studies that combine visual data with contextual information. This research evaluates Money ...

During surgical procedures, precise monitoring of the depth of anesthesia (DoA) is crucial for patient safety; yet, conventional techniques, such as the Bispectral Index (BIS), are expensive and opaque. Based on EEG signals ...

Ophthalmology must detect retinal disorders as early as possible to prevent irreversible visual impairment (including blindness). This thesis offers a deep learning method to automate the detection of 45 retinal diseases ...

Currently, ride-sharing has become a popular mode of transportation due to its affordability and reduced hassle compared to traditional public transport. However, major challenges such as safety concerns, traffic congestion, ...

Skin cancers, particularly melanoma, constitute a public health issue as they are highly aggressive and deadly if not caught early. This research study proposes an energetically inspired, conscientious deep learning framework ...

Kaggle containing multiple behavioral, psychological and demographic variables. The research concentrates on feature selection technique, RFE and evaluates its performance by using various machines’ learning models like ...

The adoption of enterprise resource making plans (ERP) solutions in Bangladesh has witnessed sizable growth in current years. This research explores the factors using this increase, the demanding situations confronted ...

Traffic sign detection stands as a vital operational aspect of autonomous driving systems while forming an essential part of intelligent transportation technology. Research investigations take a deep learning method to ...