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Found 9 papers, 1 papers with code
The World of Generative AI: Deepfakes and Large Language Models
Deepfakes and Large Language Models (LLMs) are two examples of GenAI.
SimplyMime: A Control at Our Fingertips
This paper presents a novel system, named SimplyMime, which aims to eliminate the need for multiple remote controls for consumer electronics and provide the user with intuitive control without the need for additional devices.
MagicEye: An Intelligent Wearable Towards Independent Living of Visually Impaired
In summary, MagicEye is an innovative and highly advanced wearable device that has been designed to address the many challenges faced by individuals with visual impairments.
Ranked #12 on
Face Recognition
on LFW
iPAL: A Machine Learning Based Smart Healthcare Framework For Automatic Diagnosis Of Attention Deficit/Hyperactivity Disorder (ADHD)
In this work, multiclass classification is performed on phenotypic data using an SVM model.
CoviLearn: A Machine Learning Integrated Smart X-Ray Device in Healthcare Cyber-Physical System for Automatic Initial Screening of COVID-19
In this work we present a novel machine learning (ML) integrated X-ray device in Healthcare Cyber-Physical System (H-CPS) or smart healthcare framework (called CoviLearn) to allow healthcare practitioners to perform automatic initial screening of COVID-19 patients.
Eternal-Thing 2.0: Analog-Trojan Resilient Ripple-Less Solar Energy Harvesting System for Sustainable IoT in Smart Cities and Smart Villages
The output voltage is within the vary of 3-3. 55V with an input of 1-1. 5V.
Decision Making
Hardware Architecture
MyWear: A Smart Wear for Continuous Body Vital Monitoring and Emergency Alert
Also, such garments are not included with an alert system to alert users and contacts in case of emergency.
Smart Healthcare for Diabetes: A COVID-19 Perspective
Diabetes is considered as an critical comorbidity linked with the latest coronavirus disease 2019 (COVID-19) which spreads through Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-Cov-2).
sCrop: A Internet-of-Agro-Things (IoAT) Enabled Solar Powered Smart Device for Automatic Plant Disease Prediction
The deployment of the proposed system is demonstrated in a real-time environment using a microcontroller, solar sensor nodes with a camera module, and an mobile application for the farmers visualization of the farms.
