A trust prediction mechanism in edge communications using optimized support vector regression
NC Gowda, B Malakreddy - 2023 7th International conference …, 2023 - ieeexplore.ieee.org
The number of edge devices is increasing every day in the fog computing environment.
According to Gartner's prediction, around 42 billion edge devices will be involved in digital …
According to Gartner's prediction, around 42 billion edge devices will be involved in digital …
Deep learning-based solution for differently-abled persons in the society
MM Yakoobi, NC Gowda - 2023 4th International conference …, 2023 - ieeexplore.ieee.org
This paper intends to furnish support to individuals grappling with visual impairments
through the employment of YOLOV4, an advanced object detection model. The proposed …
through the employment of YOLOV4, an advanced object detection model. The proposed …
An Enhanced RNN-LSTM Model for Fundus Image Classification to Diagnose Glaucoma
In the current medical implications, one of the leading ocular diseases is Glaucoma which
majorly damage the Optic Nerve Head (ONH) of the eye retina. The intraocular pressure of …
majorly damage the Optic Nerve Head (ONH) of the eye retina. The intraocular pressure of …
An Efficient Autism Spectrum Disorder Classification in Different Age Groups using Machine Learning Models.
AR Subhash, AKU Motagi - International Journal of Online & …, 2024 - search.ebscohost.com
The current world has witnessed the emergence of various illnesses, such as autism
spectrum disorder (ASD), that are not yet medically recognized. It impacts multiple …
spectrum disorder (ASD), that are not yet medically recognized. It impacts multiple …
Two Stage Video Classification Approach Using Convolution Neural Network
This research study focuses on video categorization, which is a crucial area of computer
vision with uses in entertainment, education, and surveillance. Convolutional Neural …
vision with uses in entertainment, education, and surveillance. Convolutional Neural …
Efficient Identification of DeepFake Images using CNN
The development of Deepfakes has become more prevalent with the rise of Generative
Adversarial Networks (GANs). Deepfakes are synthetically created, modified images that …
Adversarial Networks (GANs). Deepfakes are synthetically created, modified images that …
Well Bot-A Reinforcement Learning and Sentiment Analysis-Based Chatbot Implementation for Mental Well-Being
As the world becomes more and more competitive, the number of people experiencing
stress, anxiety, and other mental health problems is rapidly rising. In today's society, stress …
stress, anxiety, and other mental health problems is rapidly rising. In today's society, stress …
Well Bot—A Reinforcement Learning and Sentiment Analysis-Based Chatbot Implementation for Mental Well-Being
As the world becomes more and more competitive, the number of people experiencing
stress, anxiety, and other mental health problems is rapidly rising. In today's society, stress …
stress, anxiety, and other mental health problems is rapidly rising. In today's society, stress …
An efficient crop recommendation system using machine learning mechanisms
KK PN, RA Bhavya, AN Dhanushree… - … Journal of Human …, 2024 - milestoneresearch.in
In India, the job situation and economy are significantly influenced by agriculture. However,
a common problem for Indian farmers is choosing the wrong crops for their land, which …
a common problem for Indian farmers is choosing the wrong crops for their land, which …
Machine Learning Techniques to Detect DDoS Attacks in IoT's, SDN's: A Comprehensive Overview
Attacks known as distributed denial of service (DDoS) compromise user privacy while
disrupting internet services and posing a serious danger to network security. DDoS attack …
disrupting internet services and posing a serious danger to network security. DDoS attack …