Abstract Under the new media environment, information communication presents the characteristics of timeliness, convenience, and interactivity, which changes the working environment of university student management. The new medias communication mode […]
Abstract With the continuous innovation of modern science and technology, automation technology, and information resources have become the main characteristics of the application of today’s cutting-edge technology. Gradually, it is
Abstract MapReduce is a “divide and conquer” applied paradigm for processing large volumes of data to filter out information to solve day to day complex challenges. MapReduce is the core
Testing Map Reduce program using Induction Method Read More »
Abstract We propose a way to learn visual features that are compatible with previously computed ones even when they have different dimensions and are learned via different neural network architectures
Towards Backward-Compatible Representation Learning 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 Sentimental analysis plays an important role in these days because many start-ups have started with user-driven content [1]. Sentiment analysis is an important research area in natural language processing.
Sentimental Analysis on voice using AWS Comprehend Read More »
Abstract This paper presents a method to apply NaturalLanguage Processing for normalizing numeronyms to make them understandable by humans. We try to deal with the problem using two approaches, viz.,
Normalization of Numeronyms using NLP Techniques Read More »
Abstract By introducing a genetic algorithm learning with a classifier system, we construct an AI model for oil volatility forecasting on the basis of Internal Information and External Information. The
An AI Model for Oil Volatility Forecasting Read More »
Abstract We implement machine learning techniques to predict the destination for Latin American crude oil exports. Utilizing a unique dataset of micro-level crude oil shipment data, derived from the Automatic
Latin American Oil Export Destination Choice: A Machine Learning Approach Read More »
Abstract the oil industry is one in constant need of development and technological advancement. Declining oil field productivity as well as volatile oil prices, particularly after the last market crash,
Applications of AI in Oil Well Surveillance Read More »
