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Crop Yield Prediction based on Indian Agriculture using Machine Learning
Aim: To be precise and accurate in predicting crop yield and deliver the end user with proper recommendations about required fertilizer ratio based on soil parameters.Abstract India is the land of agriculture and it is the major source of economy.70% of Ind..
Crop Yield Prediction Using Random Forest Algorithm
Aim: Predict the crop type and price of the crop using machine learning methodology with accurate results.Abstract India is the land of agriculture and it is the major source of economy. 70% of..
Crypt Cloud+: Secure and Expressive Data Access Control for Cloud Storage
Aim:The main aim of this project is to provide integrity of an organization data which is in public cloud.Synopsis:Data owners will store their data in public cloud along with encryption and particular set of attributes to access control on the cloud data. While uploading the data into public cloud they will assign some attribute set to their ..
Crypt-DAC Cryptographically Enforced Dynamic Access Control in the Cloud
Aim: The main aim of this project is to provide integrity of an organization data which is in public cloud.Synopsis: Data owners will store their data in public cloud along with encryption and particular set of attributes to..
d-BAME Distributed Blockchain-Based Anonymous Mobile Electronic Voting
Aim: We are presenting a new e-Voting System with Fingerprint scanning that will overcome the drawbacks of the current voting methods that are used in India.Synopsis: Currently, the voting system in India is in efficient and vulnerable to out..
Data-Driven Early Diagnosis of Chronic Kidney Disease: Development and Evaluation of an Explainable AI Model
Aim: The primary aim of this research is to design, build, and rigorously evaluate an interpretable AI model for the early diagnosis of Chronic Kidney Disease (CKD) by leveraging a diverse dataset of patient information.Abstract: Chronic Kidney Disease (CKD) is curr..
DEA-RNN: A Hybrid Deep Learning Approach for Cyberbullying Detection in Twitter Social Media Platform
Aim: Cyberbullying (CB) has become increasingly prevalent in social media platforms. With the popularity and widespread use of social media by individuals of all ages, it is vital to make social media platforms safer from cyberbullying. This esents a hybrid Machine learning model, to..
Deep Convolutional Neural Network for Fire Detection
Aim: To efficient RCNN based system for fire detection in videos captured in uncertain surveillance scenarios Synopsis: Vision based fire detection framework has lately picked up popularity when contrasted with cus..
Deep Learning-Based Workers Safety Helmet Wearing Detection on Construction Sites Using Multi-Scale Features
Abstract: Due to a lack of knowledge about safety helmets, accidents and injuries on construction sites are now increasingly common. Worker supervision by hand is challenging and ineffective. Workers often take off the helmets because of weak security-conscious and discomfort, then ..
Deep Neural Architecture for Face mask Detection on Simulated Masked Face Dataset against Covid-19 Pandemic
Aim: To apply the Deep Learning techniques based on convolution neural network improving the face mask detector accuracy.Synopsis: The corona virus disease 2019 (COVID-19) has globally infected over..
DeepCurvMRI: Deep Convolutional Curvelet Transform-based MRI Approach for Early Detection of Alzheimer’s disease
Aim: To detect and identify the Alzheimers disease detection using Deep-Learning techniquesAbstract: Alzheimer's disease is a neurodegenerative disorder that affects memory, thinking, and behavior. Detecting the disease early is crucial for effective management and treatment. ..
DeepSkin A Deep Learning Approach for Skin Cancer Classification
Aim: To design and develop Deep Learning Model that enable early and accurate diagnosis of skin lesions, improving the chances of successful treatment.Synopsis: Given the rising prevalence of skin cancer and the signif..
Denoising in the Dark: Privacy Preserving Deep Neural Network Based Image Denoising
Abstract Large volumes of images are being exponentially generated today from various kinds of imaging devices (smart phones, medical imaging equipment, digital cameras, etc.). Such tremendous growth is further greatly accelerated along with the fast development and wide deployment of diverse In..
Design & Static Analysis of Rear Axle Tractor
Abstract: This work considers the static analysis of rear dead axle with the help of computer aided engineering (CAE) tool. Finite element analysis of rear dead axle carried out with actual design consideration and loading conditions. CREO software is used to design the different parts and assem..
Design and Analysis Aerospike Blunt Body at Hypersonic Speed
Hypersonic vehicles when moving at very high speeds experience the problem of drag and heating. One of the ways to reduce this drag and heating is by the use of an aerospike. In the present study, the flow around a blunted body fitted with an aerospike is analyzed using a comm..