Deep Learning

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Deep Learning-Based Workers Safety Helmet Wearing Detection on Construction Sites Using Multi-Scale Features

₹5,500.00

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

₹5,500.00

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

₹5,500.00

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. ..

Detecting Humans in Search and Rescue Operations Based on Ensemble Learning

₹5,500.00

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..

Detection of Cardiovascular Diseases in ECG Images Using Machine Learning and Deep Learning Methods

₹5,500.00

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..

Driver-Drowsiness Detection System Using Facial Features

₹5,500.00

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..

Edge Fire Smoke A novel lightweight cnn model for Real Time video Fire smoke Detection

₹5,500.00

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..

Efficient Classification Of Diabetic Retinopathy Using Binary Cnn

₹5,500.00

Aim: To detect the diabetic retinopathy disease in the earlier stage using Deep learning method Synopsis: Diabetic Retinopathy is a disease that can lead to partial or complete blindness. Research shows that it contributes around 5 percent of the total cases of blindness. Usually it takes about two weeks for the diagnosis of disease; time and money..

Facilitating Leucocyte Count Using Deep Learning A Paradigm Shift

₹5,500.00

Aim:          The aim of this paper is to develop an automatic white blood cell classification system using deep learning techniques. Specifically, the objective is to create a model capable of accurately classifying white blood cells (leucocytes) to aid in the diagnosis of various hematologic diseases, ..

House Price Prediction Using Machine Learning And Neural Networks

₹5,500.00

Aim:          Housing prices keep changing day in and day out and sometimes are hyped rather than being based on valuation. Predicting housing prices with real factors is the main crux of our research project. Here we aim to make our evaluations based on every basic parameter that is considered while det..

Krushi Sahyog: Plant disease identification and Crop recommendation using Artificial Intelligence

₹5,500.00

Aim:             To detect the plant leaf disease and to recommend the crop using Machine and Deep learning. Abstract:              India is one of the leading countries worldwide in terms of farm output. Even after being a leading ..

Less Is More: Lighter and Faster Deep Neural Architecture for Tomato Leaf Disease Classification

₹5,500.00

Aim:            To detect the plant leaf diseases using neural network for high accuracy detectionSynopsis:            To ensure global food security and the overall profit of stakeholders, the importance of correctly detecting and classify..

Lung Lesion Localization of COVID-19 From Chest CT Image: A Novel Weakly Supervised Learning Method

₹5,500.00

Aim:            To detect the COVID-19 using CT images by using Convolutional neural networkAbstract:            The Corona-virus 2019(COVID-19), which first occurs in Wuhan city of China in December 2019, spread quickly around the world an..

Plant Disease Detection and Classification by Deep Learning: A Review

₹5,500.00

Aim:            To detect the plant leaf diseases using convolutional neural network for high accuracy detection.Synopsis:          Identification of leaf disease is very difficult in agriculture field. If identification is incorrect then there is a huge ..

Ship Detection and Segmentation using Unet

₹5,500.00

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. The sur..

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