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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 ..

Aim: To create a robust and accurate diagnostic tool employing Convolutional Neural Networks (CNNs) for the analysis of CT scan images, aiming to enhance the efficiency, precision, and early detection of lung cancer, ultimately contributing to improved patient outcomes and healthcare practicesAbstract:The most deadly and life-threatening disea..

Aim:            To address the significant challenge of identifying plant diseases using deep Residual Network.Synopsis:            The proposed work addresses the challenges of identifying plant diseases using a lightweight Deep Residual N..

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..

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..

Aim: Achieving exam integrity through an AI-driven Smart Proctoring System for vigilant monitoring and prevention of malpractices in online assessments.Abstract:From past three years all human activities are affected by COVID19 but where the knowledge gaining and education for students aren’t stopped. Due to covid-19 affect many of the educati..

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 militar..

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 ..

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..

Aim:         To enhance the accuracy, robustness and interpretability of sign language recognition system Synopsis:         Sign Language recognition is a pioneering framework designed to advance the field of Sign Language Recognition (SLR) through the innovative applic..

Aim:             We proposed detecting Sleep Apnea Detection From Single-Lead ECG. The advancement of smart wearables technologies has provided a unique opportunity for sleep and health monitoring. However, wearable technologies rely on accurate and real-time monitoring algorithms.Abstract..

Aim:           To detect and identify the Violation detection using Deep-Learning techniques.Abstract:        The widespread deployment of surveillance cameras, enabled by digital video technologies, has created an overwhelming volume of data that poses challenges for r..

Aim:            To detect and identify the Traffic Signs detection using CNN.Abstract:         Traffic sign recognition and detection are critical in expert systems for effectively recognizing traffic signs along the road, such as left hair pin bend, parking l..