Aim:            To improve the Pedestrian detection rate and the localization accuracy using Cascade Compact CNN.Synopsis:           Pedestrian detection has made significant advances benefiting from the region-based convolutional neural networks (..

Synopsis                                Electricity usage in global data centers is estimated 200 terawatts hour (TWh) each year, or about 1% of the total electricity consumed. This significant amount of en..

Aim:             To ease the process of attendance during online classes and to prevent malpractice during online assessments.  Abstract:          Today’s pandemic situation has changed the way of education to students. Education system had comp..

Aim: Aim of this project is to build a visual navigation system for farmland tracked robot based on raspberry pi and to detect the plant leaf diseases using convolutional neural network .Introduction:   Usage of robots in agriculture increases rapidly with the development of IoT technology. In agriculture field robots are used for va..

Aim:          To develop deep learning models to detect and track humans in aerial imagesAbstract:       Detecting humans in aerial images remains a tedious task for the application based on Search And Rescue operation (SAR). The prime goal of SAR is to detect and assist peo..

Aim:          This study aims to improve the accuracy of spam email detection by leveraging a hybrid approach employing the Harris Hawks Optimizer (HHO) in conjunction with the powerful XGBoost algorithm for feature selection in machine learning.Abstract:          ..

Aim:            To address the challenges associated with detecting apple plant leaf diseases using deep learning based models.Synopsis:            Plant diseases pose a significant threat to the global agriculture, leading to substantial c..

Aim:             The aim of this research is to enhance the detection of cardiovascular diseases in ECG images using advanced machine learning techniques. Abstract:            The accurate and timely detection of cardiovascular diseases thr..

Abstract:            Some respondents make careless responses due to the ‘‘satisficing,’’ which is an attempt to complete a questionnaire as quickly and easily as possible. To obtain results that reflect a fact, detecting satisficing and excluding the responses with satisficing from the analysis target..

Aim:          The aim of this project is to detect pothole in the road and create the database. This record of potholes will help the road maintenance department to locate these bad roads. This can help to make maintenance work faster. Abstract:        &nb..

Aim:                The main aim of this project is to solve the problem of counterfeiting certificates we are proposing an digital certificate system based on block chain technology and to verify the traveler’s identity using live camera, which allows faster convergence and..

Aim:             This paper aim to detect Real time driver's fatigue state using Convolutional Neural Network (CNN) Synopsis:           Accidents are more due to the driver’s drowsiness; it has been recorded that more than 40% of chances that acciden..

Aim :          The aim of this project to break the wheel in automobile by Eddy current system. Proposed system :          Towards green technology, which focused on the importance of environment conservation, a move to a new braking system is needed. A new b..

Aim:         The aim of this study is to address the escalating issue of wildfires on a global scale, particularly in regions like Brazil, where the Amazon forest and other forest biomes are significantly affected. The proposed aim is to introduce a novel and lightweight convolutional neural network (CNN) model fo..

Aim:           To apply machine learning techniques result in improving the accuracy in the prediction of cardiovascular disease.Abstract:            Heart disease is one of the most significant problem is arising in the world today. Cardiovascu..