Showing 1–12 of 305 results

3 Axis Painting Machine

Aim:             The main stay of the project is to design, mechanize and fabrication of a remote controlled 3-axis wall

360 Degree Trailer

Aim:             The main stay of the project is to design, mechanize and fabrication of a 360 degree trailer which

A Blockchain-Based Crowdsourcing Loan Platform for Funding Higher Education in Developing Countries

Aim:                  The platform leverages blockchain technology to address the financial barriers hindering educational pursuits in these regions by providing

A Deep Learning Ensemble With Data Resampling for Credit Card Fraud Detection

Aim:            People can use credit cards for online transactions as it provides an efficient and easy-to-use facility.  With the

A Deep Learning-Based Efficient Firearms Monitoring Technique for Building Secure Smart Cities

Aim:            The aim of this study is to detect weapon by employing YOLO v8, focusing on better accuracy. Abstract:

A Deep-Learning-Based Lightweight Model for Ship Localizations in SAR Images

Aim: To automate the detection of presence of ships and to classify the types of ships available in the given

A Framework to Make Voting System Transparent Using Blockchain Technology

Aim:            We are presenting a new e-Voting System with Face Verification that will overcome the drawbacks of the current

A Lightweight Robust Deep Learning Model Gained High Accuracy in Classifying a Wide Range of Diabetic Retinopathy Images

Aim:          To detect and identify the Diabetic disease detection using Deep-Learning techniques. Abstract:            In the field of diabetic

A LoRa-based Smart Street Lighting System for Smart Cities

Aim:             Aim of this project is smart street lamp for energy efficient using system implemented by ESP8266. Light intensity

A LoRaWAN IoT Enabled Trash Bin Level Monitoring System

Aim:            The main aim of the project is to monitor and manage the trash bin in Urban using Lora

A Machine Learning Framework for Early-Stage Detection of Autism Spectrum Disorders

Aim:           To apply machine learning techniques result in improving the accuracy in the prediction of Autism Spectrum Disorder  

A Machine Learning-Based Classification and Prediction Technique for DDoS Attacks

Aim:           We proposed a complete systematic approach to detect DDOS attack using machine learning algorithm. Abstract:        Distributed network