بحث بسيط
السجلات المعروضة 1 -- 10 من 11
Multi-layer perceptron model on chip for secure diabetic treatment
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Article)
Diabetic patients use therapy from the insulin pump, a type of implantable medical device, for the infusion of insulin to control blood glucose level. While these devices offer many clinical benefits, there has been a ...
A Novel Deep Learning Strategy for Classifying Different Attack Patterns for Deep Brain Implants
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
Deep brain stimulators (DBSs), a widely used and comprehensively acknowledged restorative methodology, are a type of implantable medical device which uses electrical stimulation to treat neurological disorders. These devices ...
Deep CNN-Based real-time traffic light detector for self-driving vehicles
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
Due to the unavailability of Vehicle-to-Infrastructure (V2I) communication in current transportation systems, Traffic Light Detection (TLD) is still considered an important module in autonomous vehicles and Driver Assistance ...
An efficient approach for textual data classification using deep learning
(
Frontiers
, 2022 , Article)
Text categorization is an effective activity that can be accomplished using a variety of classification algorithms. In machine learning, the classifier is built by learning the features of categories from a set of preset ...
A Novel Machine Learning Approach for Severity Classification of Diabetic Foot Complications Using Thermogram Images
(
MDPI
, 2022 , Article)
Diabetes mellitus (DM) is one of the most prevalent diseases in the world, and is correlated to a high index of mortality. One of its major complications is diabetic foot, leading to plantar ulcers, amputation, and death. ...
Cardiovascular Disease Diagnosis from DXA Scan and Retinal Images Using Deep Learning
(
MDPI
, 2022 , Article)
Cardiovascular diseases (CVD) are the leading cause of death worldwide. People affected by CVDs may go undiagnosed until the occurrence of a serious heart failure event such as stroke, heart attack, and myocardial infraction. ...
Lightweight End-to-End Deep Learning Solution for Estimating the Respiration Rate from Photoplethysmogram Signal
(
MDPI
, 2022 , Article)
Respiratory ailments are a very serious health issue and can be life-threatening, especially for patients with COVID. Respiration rate (RR) is a very important vital health indicator for patients. Any abnormality in this ...
Applications of Artificial Intelligence in Philadelphia-Negative Myeloproliferative Neoplasms.
(
Multidisciplinary Digital Publishing Institute (MDPI)
, 2023 , Article)
Philadelphia-negative (Ph-) myeloproliferative neoplasms (MPNs) are a group of hematopoietic malignancies identified by clonal proliferation of blood cell lineages and encompasses polycythemia vera (PV), essential ...
Sense and Learn: Recent Advances in Wearable Sensing and Machine Learning for Blood Glucose Monitoring and Trend-Detection
(
Frontiers Media S.A.
, 2022 , Article)
(Figure presented.) Diabetes mellitus is characterized by elevated blood glucose levels, however patients with diabetes may also develop hypoglycemia due to treatment. There is an increasing demand for non-invasive blood ...
A Generative Model to Synthesize EEG Data for Epileptic Seizure Prediction
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Objective: Scarcity of good quality electroencephalography (EEG) data is one of the roadblocks for accurate seizure prediction. This work proposes a deep convolutional generative adversarial network (DCGAN) to generate ...