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Facemask Wearing Alert System Based on Simple Architecture With Low-Computing Devices
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 2.7million people and caused over 180,000 d..
Facilitating Leucocyte Count Using Deep Learning A Paradigm Shift
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
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..
Impact of Fuzziness for Skin Lesion Classification with Transformer-Based Model
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LCDctCNN: Lung Cancer Diagnosis of CT scan Images Using CNN Based Model
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..
Less Is More: Lighter and Faster Deep Neural Architecture for Tomato Leaf Disease Classification
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..
Online Exam Proctoring System Based on Artificial Intelligence
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..
Oriented Ship Detection Based on Strong Scattering Points Network in Large-Scale SAR Images
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..
Sleep Apnea Detection From Single-Lead ECG: A Comprehensive Analysis of Machine Learning and Deep Learning Algorithms
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..
Toward Fast and Accurate Violence Detection for Automated Video Surveillance Applications
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..
Traffic Signs Recognition using CNN and Keras
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..