Hybrid Prediction Models for Rainfall Forecasting

Aim: Analyze the rainfall data from database for rainfall prediction Existing System: The dataset is stored and processed in structured database like MySQL, Oracle etc. The time consumed to process volumes of data to pre-process and classify were huge. The model is utilized to generate the prediction of future rainfall based on the dataset. MySQL […]

Real-Time Prediction of Taxi Demand Using Recurrent Neural Networks

Aim: To predict the high demand need of pickup location for taxi services based on their previous history. Existing System: TAXI drivers need to decide where to wait for passengers in order to pick up someone as soon as possible. Passengers also prefer to quickly find a taxi whenever they are ready for pickup. The […]

Real-Time Taxi-Passenger Prediction with L-CNN

Aim: To predict the high demand need of pickup location for taxi services based on their previous history. Existing System: TAXI drivers need to decide where to wait for passengers in order to pick up someone as soon as possible. Passengers also prefer to quickly find a taxi whenever they are ready for pickup. The […]

Real-Time Driver-Drowsiness Detection System Using Facial Features

Aim: This paper aim to detect Real time driver’s fatigue state using Convolutional Neural Network (CNN) Existing System: The driver facial features is identified by various Algorithms. But it is not accuracy and some major problems are occurred. Facial landmarks on the detected face are pointed and subsequently the eye aspect ratio and mouth opening […]

Efficient Brain Tumor Segmentation with Multiscale Two-Pathway-Group Conventional Neural Networks

Aim: To segmented the Brain Tumor using Two-Pathway-Group Conventional Neural Networks. Existing System: Manual segmentation of brain tumors from large MRI images is a difficult and time-consuming task. Generative models require prior information and segmentation of brain tumors, whereas discriminative models depend on a set of features and classifiers. The most commonly adopted classifiers are […]

Effective Heart Disease Prediction Using Hybrid Machine Learning Techniques

Aim: To apply machine learning techniques resulting in improving the accuracy in the prediction of cardiovascular disease Existing System: The obtained results are compared with the results of existing models within the same domain and found to be improved. The data of heart disease patients collected from the UCI laboratory is used to discover patterns […]

Watch & Do A Smart IoT Interaction System with Object Detection and Gaze Estimation

Aim: To detect target device is identified by various deep learning-based gaze estimation and object detection techniques and user can control the target IOT device by hand gesture. Existing System: The target device is identified by various Algorithms are used for gaze estimation and object detection techniques. Afterwards, hand gesture recognition is applied to generate […]