An experimental analysis of various machine learning algorithms for hand gesture recognition
Nowadays, hand gestures have become a booming area for researchers to work on. In
communication, hand gestures play an important role so that humans can communicate …
communication, hand gestures play an important role so that humans can communicate …
Improving Business deliveries using Continuous Integration and Continuous Delivery using Jenkins and an Advanced Version control system for Microservices-based …
For enterprise application various software development models are available. Out of these
available software development models, micro-services architecture has gained a lot of …
available software development models, micro-services architecture has gained a lot of …
A generic optimization and learning framework for Parkinson disease via speech and handwritten records
Parkinson's disease (PD) is a neurodegenerative disorder with slow progression whose
symptoms can be identified at late stages. Early diagnosis and treatment of PD can help to …
symptoms can be identified at late stages. Early diagnosis and treatment of PD can help to …
Event Driven Architecture for Message Streaming data driven Microservices systems residing in distributed version control system
A large quantity of statistics is generated each day using DevOps techniques from many
sources; inclusive of sensors, internet site utilization, gadget activities, and so on. This …
sources; inclusive of sensors, internet site utilization, gadget activities, and so on. This …
Development and validation of an insulin resistance model for a population without diabetes mellitus and its clinical implication: a prospective cohort study
SF Tsai, CT Yang, WJ Liu, CL Lee - EClinicalMedicine, 2023 - thelancet.com
Background Insulin resistance (IR) is associated with diabetes mellitus, cardiovascular
disease (CV), and mortality. Few studies have used machine learning to predict IR in the …
disease (CV), and mortality. Few studies have used machine learning to predict IR in the …
Diabetic retinopathy detection using supervised and unsupervised deep learning: a review study
The severe progression of Diabetes Mellitus (DM) stands out as one of the most significant
concerns for healthcare officials worldwide. Diabetic Retinopathy (DR) is a common …
concerns for healthcare officials worldwide. Diabetic Retinopathy (DR) is a common …
Application of machine learning in affordable and accessible insulin management for type 1 and 2 diabetes: A comprehensive review
M Eghbali-Zarch, S Masoud - Artificial Intelligence in Medicine, 2024 - Elsevier
Proper insulin management is vital for maintaining stable blood sugar levels and preventing
complications associated with diabetes. However, the soaring costs of insulin present …
complications associated with diabetes. However, the soaring costs of insulin present …
Fusion fuzzy logic and deep learning for depression detection using facial expressions
One of the critical issues in detecting depression is using facial expressions with image data
classification. In This research paper, we proposed Fusion Fuzzy Logic ((FFL) with deep …
classification. In This research paper, we proposed Fusion Fuzzy Logic ((FFL) with deep …
Improving Business Deliveries for Micro-services-based Systems using CI/CD and Jenkins.
Micro-services architecture has changed the paradigm of software designing and software
development behaviour as they are lightweight, easy adoptable, faster to be built and deploy …
development behaviour as they are lightweight, easy adoptable, faster to be built and deploy …
Multi-label fundus image classification using attention mechanisms and feature fusion
Z Li, M Xu, X Yang, Y Han - Micromachines, 2022 - mdpi.com
Fundus diseases can cause irreversible vision loss in both eyes if not diagnosed and treated
immediately. Due to the complexity of fundus diseases, the probability of fundus images …
immediately. Due to the complexity of fundus diseases, the probability of fundus images …