Category: Research

A Comprehensive Introduction to Bayesian Deep Learning

Bayesian (deep) learning has always intrigued and intimidated me. Perhaps because it leans heavily on probabilistic theory, which can be…

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Traffic prediction with advanced Graph Neural Networks

By partnering with Google, DeepMind is able to bring the benefits of AI to billions of people all over the…

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A beginner’s guide to Bayesian CNN

Applying bayesian on neural networks is a method of controlling overfitting. We can also apply bayesian on CNN to reduce…

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Development of a Smart Home Context-aware Application: A Machine Learning based Approach

Context-awareness is an important characteristic of smart home. Several methods are used in context-aware application to provide services. The main…

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Context-Aware Computing for IoT: History, Applications and Research Challenges

The new Internet of Things (IoT) technology has the potential to generate breakthrough opportunities in real-life applications. The merger of…

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Researchers Build AI That Builds AI

By using hypernetworks, researchers can now preemptively fine-tune artificial neural networks, saving some of the time and expense of training….

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Contextual data classification for a ubiquitous intelligent environment

Recognition of activities from sensors is a key paradigm of ubiquitous computing. Activity recognition systems can be used to label…

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ANALYZING CONTEXTUAL DATA IN EDUCATIONAL CONTEXT: EDUCATIONAL DATA MINING AND LOGFILE ANALYSIS

In recent decades,attention has been focused on analyzing contextual data in educational contextusingeducational data mining (EDM), which is a process…

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Stock Price Forecasting by a Deep Convolutional Generative Adversarial Network

Stock market prices are known to be very volatile and noisy, and their accurate forecasting is a challenging problem. Traditionally,…

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Stock Prediction Using Convolutional Neural Network

Stock prediction is a very hot topic in our life. However, in the early time, because ofsome reasons and the…

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A Survey on Machine Learning for Stock Price Prediction: Algorithms and Techniques

Stock market trading is an activity in which investors need fast and accurate information to make effectivedecisions. Since many stocks…

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Academia : Research Papers on Convolution Neural Networks

REVIEW: SECURE AND RELIABLE VOICE RECOGNITION SYSTEM USING DEEP NEURAL NETWORKS ACOUSTIC MODEL HELMET DETECTION AND LICENSE PLATE RECOGNITION Lung…

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Research Culture in Educational Institutions

My Opinion Dr.Ramesh M. KagalkarProfessor and Dean R&D,Department of Computer Science and Engineering,KLE College of Engineering and Technology, Chikod, Dist….

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