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Category: Research

Researchers from U Texas and Apple Propose a Novel Transformer-Based Architecture for Global Multi-Object Tracking
BY tocxten@gmail.com April 7, 2022

Researchers from U Texas and Apple Propose a Novel Transformer-Based Architecture for Global Multi-Object Tracking

Multi-object tracking aims to locate and track all objects in a video feed. It’s a fundamental component in domains like mobile robots, where an autonomous system must navigate dynamic surroundings…

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A Comprehensive Introduction to Bayesian Deep Learning
BY tocxten@gmail.com April 5, 2022

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 daunting. I noticed that even though I knew basic probability…

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Ambitions to become GitHub for machine learning? Hugging Face adds Decision Transformer to its library
BY tocxten@gmail.com April 4, 2022

Ambitions to become GitHub for machine learning? Hugging Face adds Decision Transformer to its library

Hugging Face is one of the most promising companies in the world. It has set to achieve a unique feat – to become the GitHub for machine learning. Over the…

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Traffic prediction with advanced Graph Neural Networks
BY tocxten@gmail.com April 1, 2022

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 world.  From reuniting a speech-impaired user with his original voice, to…

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A beginner’s guide to Bayesian CNN
BY tocxten@gmail.com April 1, 2022

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 the overfitting and we can call CNN with applied Bayesian…

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Development of a Smart Home Context-aware Application: A Machine Learning based Approach
BY tocxten@gmail.com March 20, 2022

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 target of smart home is to predict the demand of…

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Context-Aware Computing for IoT: History, Applications and Research Challenges
BY tocxten@gmail.com March 20, 2022

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 IoT with other technologies like context-aware computing, big data, artificial…

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Researchers Build AI That Builds AI
BY tocxten@gmail.com March 20, 2022

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. Artificial intelligence is largely a numbers game. When deep neural…

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Contextual data classification for a ubiquitous intelligent environment
BY tocxten@gmail.com March 13, 2022

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 large sets of data. Variability in human activities, sensor deployment…

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ANALYZING CONTEXTUAL DATA IN EDUCATIONAL CONTEXT: EDUCATIONAL DATA MINING AND LOGFILE ANALYSIS
BY tocxten@gmail.com March 13, 2022

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 of employing data mining techniques to transform initial data collected…

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Stock Price Prediction – Papers and Code
BY tocxten@gmail.com March 12, 2022

Stock Price Prediction – Papers and Code

Read Most implemented papers

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Stock Price Forecasting by a Deep Convolutional Generative Adversarial Network
BY tocxten@gmail.com March 12, 2022

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, both linear and non-linear methods (such as ARIMA and LSTM)…

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Stock Prediction Using Convolutional Neural Network
BY tocxten@gmail.com March 12, 2022

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 limitation of the device, only a few people had the…

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A Survey on Machine Learning for Stock Price Prediction: Algorithms and Techniques
BY tocxten@gmail.com March 12, 2022

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 are traded on a stock exchange, numerous factors influence the…

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Academia : Research Papers on Convolution Neural Networks
BY tocxten@gmail.com April 23, 2021

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 cancer classification with Convolutional Neural Network Architectures APPLICATION OF CONVOLUTIONAL…

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Research Culture in Educational Institutions
BY tocxten@gmail.com November 23, 2020

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. Belagavi, Karnataka, India "The engineer's first problem in any design…

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