A5024140875- COVID-19 diagnosis using AI
- EEG and Brain-Computer Interfaces
- CCD and CMOS Imaging Sensors
- Advanced Memory and Neural Computing
- Thermal Regulation in Medicine
- Retinal Imaging and Analysis
- IoT and Edge/Fog Computing
- Data Stream Mining Techniques
- Artificial Intelligence in Healthcare
- Advanced Neural Network Applications
- Infrared Thermography in Medicine
- Nutritional Studies and Diet
Magic Leap (United States)
2024
Film Independent
2024
University of Maryland, College Park
2018-2023
Center for Devices and Radiological Health
2018
United States Food and Drug Administration
2018
Fever screening based on infrared (IR) thermographs (IRTs) is an approach that has been implemented during infectious disease pandemics, such as Ebola and Severe Acute Respiratory Syndrome. A recently published international standard indicates regions medially adjacent to the inner canthi provide accurate estimates of core body temperature are preferred sites for fever screening. Therefore, rapid, automated identification within facial IR images may greatly facilitate rapid asymptomatic...
Convolutional Neural Networks (CNNs) have greatly influenced the field of Embedded Vision and Edge Artificial Intelligence (AI), enabling powerful machine learning capabilities on resource-constrained devices. This article explores relationship between CNN compute requirements memory bandwidth in context AI. We delve into historical progression architectures, from early pioneering models to current state-of-the-art designs, highlighting advancements compute-intensive operations. examine...
In developing countries like India, understanding dietary patterns and nutritional values is crucial for public health raising awareness. Numerous studies have investigated the aspects of various Indian foods. This paper presents a novel deep learning-based approach automated identication classication food items, enabling large-scale analysis their content. By providing access to nutrition general public, this aims tackle malnutrition arising from improper intake patterns. We explore...