Abstract Satellite Image classification provides information about land use cover (LULC) and this is required in many applications such as Urban planning environmental monitoring. Recently, deep learning techniques were applied for satellite image achieved higher efficiency. The existing have limitations of overfitting problems due to the convolutional neural network (CNN) model generating more features. This research proposes optimal guidance-whale optimization algorithm (OG-WOA) technique...

Facial recognition is one example of the ways in which computer vision being applied modern, people-oriented utility apps. technology has improved recent years, but it still lags behind other biometric authentication methods such as fingerprint and iris scanning or Radio Frequency Identification (RFID) cards terms accuracy. However, frequently utilised due to fact that procedure does not involve touching device any way. This research takes advantage advances facial offer an embedded...

Abstract Detecting the early stage of brain tumors is significant for an effective therapy that can probably minimize death rate patients affected from tumors. Magnetic resonance imaging benchmark standard diagnosing cancers but, it was difficult to split and categorize different kinds due delicate arrangement brain's anatomy. To overcome these difficulties provide classification, this research introduced a hybridized optimization technique which enhance performance classifier. The...

Image restoration (IR) attempts to recreate the original (ideal) scene from a degraded observation. The goal of image is avert process deterioration that happens during acquisition and processing. Blurring noise are two common types picture capture degradation. When blurring function unknown, issue referred as blind restoration. Existing methods do not provide efficient results due time complexity, computational large-scale scaling factor limited input. Therefore, in order overcome those...

Abstract The spotlight of our discussion here is on developing a model for detecting snakes present in the agricultural fields using cameras and machine learning algorithms. idea to construct identify snakes, which will be trained vast set images snakes. These carefully selected include snake patterns, skin color different species (extraction unique features). This done train properly types that farmer encounters fields. Most famers are unaware have need way detect these so they can either...

People suffering from Motor Neurone Disease (MND) will not be able to move any body part except eye blink and movement. They find it difficult communicate. This project helps them overcome the situation by making use of blink. The camera in front person captures patient, analyses pattern converts into speech. It uses Haar Cascade Classifiers for Face Eye detection real time video with OpenCV. system is designed considering limitations existing system, as they employ extra hardware are expensive.

Now a days Internet become more Integral part of World particularly social media platforms, such as Instagram, Facebook & What's app etc. which led to emergence cybercrime. Cyberbullying is special way bullying emerged with development networks. People are bullyingother people by commenting or posting toxic commentor embarrassing picture lead cause harm Victim reputation. It very common among teenagers. Stating the above challenge we have pitched deep learning based modelto identify bullied...

Stock market index prediction and forecasting is a tedious task; this pure since stock data series start behaving as similar to arbitrary-walk. The businesses have hire investment specialists who would take excessively high profits in order advise on choices. Such professionals offer an easy approach, which can be used by anyone with internet connection computer. Market analysis has always been of interest various studies research. Many factors affect the outcome particular stock. Hence...