GELAB – The Cutting Edge of Grammatical Evolution

The advent of cloud-based super-computing platforms has given rise to a Data Science (DS) boom. Many types of technological problems that were once considered prohibitively expensive to tackle are now candidates for exploration. Machine Learning (ML) tools that were valued only in academic environments are quickly being embraced by industrial giants and tiny startups alike.

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Time is on the Side of Grammatical Evolution – IEEE Conference Publication

The computational complexity of Evolutionary Algorithms (EAs) is a well-known concern. This paper is concerned with the resource consumption of GELAB, a novel Grammatical Evolution (GE) system implemented in Matlab.

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Analysis of Diversity in Grammatical Evolution – IEEE Conference Publication

Diversity is a much sought after aspect of any evolutionary system. More diversity means a cornucopia of diverse behaviors and traits among the individuals of a population. Lack of diversity, on the other hand, leads to a stagnant population whose individuals are more or less similar to each other.

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Neural Correlates of Experience – IEEE Conference Publication

Experience is luscious! Experienced people who act spontaneously in any feat are considered attractive, draw attention, receive praise, and have many admirers. Whether an experienced person is a speaker, a teacher, a driver or a sportsman, dexterity has its own swag. It is well known that human faculties are controlled and monitored by the brain.

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He employed a cascade of algorithms to complete his job. For bib detection, he employed YOLOv4. And then for reading the actual number on the bib, he employed an optical character recognition technique.

His work was published with grace. The best thing I like about it is his expression (he mostly wrote the paper himself). Please read it. You will definitely like it too. And you might as well get interested in the work. Its cool and funky.

Running to Get Recognized

This research investigates the use of Convolutional Neural Networks (CNN) and specifically, You Only Look Once ver. 4 (YOLOv4) to detect Racing Bib Numbers (RBNs) in images from running races and then to recognise the actual numbers using Optical Character Recognition (OCR) techniques.

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Devising Technical Trading Rules for Pakistan Stock Exchange using Genetic Programming – IEEE Conference Publication

The efficient market hypothesis (EMH) suggests that a stock market behaves like a random walk which means that developing profitable trading rules and forecasting the trends would be impossible.

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Trading Cryptocurrency with Deep Deterministic Policy Gradients

Evan Tummon Muhammad Adil Raja Conor Ryan Part of the Lecture Notes in Computer Science book series (LNCS, volume 12489) The volatility incorporated in cryptocurrency prices makes it difficult to earn a profit through day trading. Usually, the best strategy is to buy a cryptocurrency and hold it until the price rises over a long period.

Here is a video of the presentation.

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GitHub – adilraja/GELAB: GELAB: A Matlab Toolbox for Grammatical Evolution

GELAB: A Matlab Toolbox for Grammatical Evolution. Contribute to adilraja/GELAB development by creating an account on GitHub.

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Evolving MIMO multi-layered artificial neural networks using grammatical evolution

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The presentation was about an application of association rule mining for predicting road accidents. Initially, I kept sitting dumb and idle. It was a bit hard to recall how association rule mining worked. After a while, as the presentation progressed, as a few people asked questions and especially as my own mind started generating questions about the work and association rule mining, I became a lot more engaged in the discourse.

A great conversation took place. Some people were actually doing the job of requesting others to stop asking too many questions. Too many questions definitely overwhelm the speaker. But isn’t it a good practice to face so many questions so as to develop experience in giving answers. Politicians are really adept at that. And this is possibly why they have great fortunes.

Given the current state of the art of the algorithm, I found it a bit clumsy. Well, it is a nice algorithm indeed in the sense that it figures out relationships within variables of a multi-dimensional dataset. But I think it could be improved.

My idea was to employ grammatical evolution to automate, upstage or drastically improve the algorithm. I personally think it could be good. To support my argument, I am sharing a related article that was published at a nice venue. Please give it a read. And yes, if you find this idea fascinating and want to work on it with me, please give me a shout. I think a nice FYP or even a postgraduate thesis could be drawn out from this.

An Intrusion-Detection Model Based on Fuzzy Class-Association-Rule Mining Using Genetic Network Programming – IEEE Journals & Magazine

As the Internet services spread all over the world, many kinds and a large number of security threats are increasing. Therefore, intrusion detection system

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