Search - Deep Learning

Aim:           People can use credit cards for online transactions as it provides an efficient and easy-to-use facility.  With the increase in usage of credit cards, the capacity of credit card misuse has also enhanced. Credit card frauds cause significant financial losses for both credit card ..

Aim:           The aim of this study is to detect weapon by employing YOLO v8, focusing on better accuracy.Abstract:          This research introduces an advanced approach utilizing YOLO v8 for more accurate and efficient firearm and weapon detection in t..

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Aim:To automate the detection of presence of ships and to classify the types of ships available in the given Image.Introduction:Ship detection has broad applications in many areas, including fishery management, maritime rescue, and maritime monitoring. Recently, numerous detectors based on deep learning have been carried in ship detection in synthe..

Aim:          To detect and identify the Diabetic disease detection using Deep-Learning techniques.Abstract:           In the field of diabetic retinopathy detection, this study introduces a novel, lightweight, and robust deep learning model that achieves rema..

Aim:      To automate the detection of presence of ships and to classify the types of ships available in the given Image.   Synopsis:        The detection of inshore and offshore ships is an essential task for a large variety of applications in both military and civilian fields. For example..

Aim:        Aim of the project is to reduce animal-vehicle collision on roadsides using machine learning and raspberry pi. Abstract:        Animal-Vehicle collisions are a significant public health concern in various countries. The annual economic cost exceeds over..

Aim:          Ensure education continuity for post-covid it used to make a attendance for a student with face detection and ensure student were a mask.  Abstract:          Deep learning-based comprehensive study to reduce the effects of COVID-19 on the ed..

Aim:             To enhance the assigning accuracy of former methods in fake news detection using advanced methods.Abstract:           We are in the age of information, everytime we read a piece of information or watch the news on TV, we look fo..

Aim:          Optical character recognition (OCR) can be used for the online retrieval of the printed material such as medical documents, forms, or applications for retrieving valuable information that was available in the printed documents. Deep learning approaches have been used to solve natural langua..

Aim:             This paper aim to detect the diabetic disease identification using deep learning methods. Abstract: Diabetic Retinopathy is a complication of diabetes that is caused due to the changes in the blood vessels of the retina and is one of the leading causes of blindness in th..

Aim:                To detect and identify the Brain Tumor using Deep-Learning techniques.Abstract:               Medical image processing is that the one among the foremost demanding and promising field nowada..

Aim:         To detect and identify the Brain Tumor using Deep-Learning techniquesAbstract:       Brain is the controlling unit of human body. It regulates the functions such as memory, vision, hearing, knowledge, personality, problem solving etc. The main reason for brain tumors is t..

Aim: To detect and identify the Brain Tumor using Deep-Learning techniques  Abstract:Brain is the controlling unit of human body. It regulates the functions such as memory, vision, hearing, knowledge, personality, problem solving etc. The main reason for brain tumors is the uncontrolled development of brain cells. In medical practices..

Aim:           This paper aim to detect Driver Drowsiness Detection by using support Vector Machines.Abstract:      Driver drowsiness is a serious threat to road safety. Most driver monitoring systems (DMSs) already embedded in vehicles to detect drowsiness use vehicle-based feat..