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Statistical analysis of design aspects of various YOLO-based deep learning models for object detection
Object detection is a critical and complex problem in computer vision, and deep neural
networks have significantly enhanced their performance in the last decade. There are two …
networks have significantly enhanced their performance in the last decade. There are two …
[PDF][PDF] A novel classification approach for grape leaf disease detection based on different attention deep learning techniques
Preventing and controlling grape diseases is essential for a good grape harvest. With the
help of “single shot multibox detectors”,“faster region based convolutional neural networks” …
help of “single shot multibox detectors”,“faster region based convolutional neural networks” …
An interpretable approach with explainable AI for heart stroke prediction
Heart strokes are a significant global health concern, profoundly affecting the wellbeing of
the population. Many research endeavors have focused on develo** predictive models for …
the population. Many research endeavors have focused on develo** predictive models for …
Securing images using high dimensional chaotic maps and DNA encoding techniques
With the growing need for secure multimedia data transmission, image encryption has
become an important research area. Traditional encryption algorithms like RSA are not well …
become an important research area. Traditional encryption algorithms like RSA are not well …
A MapReduce based approach for secure batch satellite image encryption
The overarching goal of this research was to examine the state of satellite imagery security
in relation to its deteriorating form due to rising demand. The most common approaches to …
in relation to its deteriorating form due to rising demand. The most common approaches to …
Outlier Management and its Impact on Diabetes Prediction: A Voting Ensemble Study.
The chronic metabolic disorder known as diabetes mellitus, which is defined by
hyperglycemia, poses a significant threat to the health of people all over the world. The …
hyperglycemia, poses a significant threat to the health of people all over the world. The …
A novel dual confusion and diffusion approach for grey image encryption using multiple chaotic maps
SP Praveen, VS Suntharam, S Ravi… - International …, 2023 - search.proquest.com
With the exponential growth of the internet and social media, images have become a
predominant form of information transmission, including confidential data. Ensuring the …
predominant form of information transmission, including confidential data. Ensuring the …
Block-scrambling-based encryption with deep-learning-driven remote sensing image classification
Remote sensing is a long-distance measuring technology that obtains data about a
phenomenon or an object. Remote sensing technology plays a crucial role in several …
phenomenon or an object. Remote sensing technology plays a crucial role in several …
[PDF][PDF] An Ensemble Learning Approach for detection of Chronic Kidney Disease (CKD)
Chronic kidney disease (CKD) is a common and possibly fatal condition affecting billions
worldwide. Early detection and accurate diagnosis of CKD are critical for timely intervention …
worldwide. Early detection and accurate diagnosis of CKD are critical for timely intervention …
Efficient and privacy-preserving image classification using homomorphic encryption and chunk-based convolutional neural network
H Jia, D Cai, J Yang, W Qian, C Wang, X Li… - Journal of Cloud …, 2023 - Springer
Image feature categorization has emerged as a crucial component in many domains,
including computer vision, machine learning, and biometrics, in the dynamic environment of …
including computer vision, machine learning, and biometrics, in the dynamic environment of …