Machine learning is an application of artificial intelligence (AI) that allows systems to automatically learn and advance from experience, without explicit planning. Machine learning is based on the development of computer programs that …
Abstract Severe flash flood events give very little opportunity for issuing warnings. In this paper, we approach the automated and real-time prediction of river flooding by proposing and evaluating different …
An Evolutionary MultiLayer Perceptron Algorithm for Real Time River Flood Prediction Read More »
Abstract Machine learning is known as the scientific study of various algorithms and statistics as well as models that can be used to create or perform certain tasks. These tasks …
Abstract Currently, data analysis from social networks is referred to as big data analysis (BigData). The analysis of big data is difficult primarily due to the fact that all the …
Algorithms for Automated Sentiment Analysis of Posts in Social Networks Read More »
Abstract Schizophrenia is one of the mental disorders that impacts a person’s thinking, speech, and actions. It can reduce a person’s ability to process auditory information and make decisions. Analyzing …
Understanding Cohesion in Writings and Speech of Schizophrenia Patients Read More »
Abstract Machine learning has been pervasively used in a wide range of applications due to its technical breakthroughs in recent years. It has demonstrated significant success in dealing with various …
Machine Learning Security: Threats, Countermeasures, and Evaluations Read More »
Abstract The diagnosis of heart disease by the classical medical approach takes a huge amount of time. Besides blood tests and X-ray, this approach includes multiple tests like MRI, Echocardiogram, …
A Comparative Study on Machine Learning and Artificial Neural Networking Algorithms Read More »
Abstract Analyzing sentiment is a process to identify the opinion of a text. It is also known as opinion mining or emotion Artificial Intelligence (AI). People post comments in social …
A Comparative Sentiment Analysis Of Sentence Embedding Using Machine Learning Techniques Read More »
Abstract Can we detect electric discharge states in gases based on the information on visual images? This article proposes a new kind of method where we build several detection models …
A Corona Recognition Method Based on Visible Light Color and Machine Learning Read More »
Abstract This paper aims to develop a tool for predicting accurate and timely traffic flow Information. Traffic Environment involves everything that can affect the traffic flowing on the road, whether …
Traffic Prediction for Intelligent Transportation System using Machine Learning Read More »
