Recent advances in enzymatic and non-enzymatic electrochemical glucose sensing
The detection of glucose is crucial in the management of diabetes and other medical
conditions but also crucial in a wide range of industries such as food and beverages. The …
conditions but also crucial in a wide range of industries such as food and beverages. The …
Efficient prediction of cardiovascular disease using machine learning algorithms with relief and LASSO feature selection techniques
Cardiovascular diseases (CVD) are among the most common serious illnesses affecting
human health. CVDs may be prevented or mitigated by early diagnosis, and this may reduce …
human health. CVDs may be prevented or mitigated by early diagnosis, and this may reduce …
Use of efficient machine learning techniques in the identification of patients with heart diseases
Cardiovascular disease has become one of the world's major causes of death. Accurate and
timely diagnosis is of crucial importance. We constructed an intelligent diagnostic framework …
timely diagnosis is of crucial importance. We constructed an intelligent diagnostic framework …
An IoT based environment monitoring system
In recent years, people are getting more conscious of the environment they are living in. This
consciousness is driving the need to develop a reliable environmental monitoring system …
consciousness is driving the need to develop a reliable environmental monitoring system …
An improved long short-term memory algorithm for cardiovascular disease prediction
TK Revathi, S Balasubramaniam, V Sureshkumar… - Diagnostics, 2024 - mdpi.com
Cardiovascular diseases, prevalent as leading health concerns, demand early diagnosis for
effective risk prevention. Despite numerous diagnostic models, challenges persist in network …
effective risk prevention. Despite numerous diagnostic models, challenges persist in network …
Voice activated portable braille with audio feedback
The goal of this paper is to create a Voice Activated Braille as a portable device that will help
individuals who are blind or visually impaired without any partial help to recognize certain …
individuals who are blind or visually impaired without any partial help to recognize certain …
IoT based temperature control system of home by using an android device
This IoT-based architecture research project is created for people who are familiar with
emerging smart technologies. This project is primarily based on controlling the voltage of AC …
emerging smart technologies. This project is primarily based on controlling the voltage of AC …
A machine learning based proposition for automated and methodical prediction of liver disease
Liver disease, a life-threatening malice, has become one of the most common diseases in
recent years. Our goal is to identify the associated risks early enough through existing …
recent years. Our goal is to identify the associated risks early enough through existing …
Deep learning approaches for diabetic retinopathy detection by image classification
MSA Mazumder, T Hossain… - … on Smart Electronics …, 2022 - ieeexplore.ieee.org
Diabetic retinopathy (DR) is among the most prevalent eye diseases that can result in
blindness and vision loss if left untreated. Early detection of vision impairment might slow or …
blindness and vision loss if left untreated. Early detection of vision impairment might slow or …
A noninvasive method for measuring the blood glucose level using a narrow band microstrip antenna
AR Megdad, RW Aldhaheri… - The Applied …, 2022 - journals.riverpublishers.com
In this paper, a narrowband and compact antenna resonating at 6.1 GHz with a peak
realized gain of 3.3 dBi is proposed to monitor the glucose concentration in the blood …
realized gain of 3.3 dBi is proposed to monitor the glucose concentration in the blood …