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Presentation at the annual convention of the Philippine Heart Association, 31 May 2024. EDSA Shangri...
A statistical model or a machine learning algorithm is said to have underfitting when a model is too...
Radial Basis Function Neural Network Implementation using MATLAB
This presentation discusses about various techniques of Associative memory network under Neural Netw...
Zero-Day Attacks (ZDAs) are a significant concern for cybersecurity as they take advantage of previo...
linear regression is a linear approach for modelling a predictive relationship between a scalar resp...
11th International Conference on Computer Science, Engineering and Applications (CSEA 2025) will pro...
it is topic of network in BSCS
Deep learning
Principal Component Analysis(PCA) technique was introduced by the mathematician Karl Pearson in 1901...
The best known natural language processing tool is GPT-3, from OpenAI, which uses AI and statistics ...
It is a classification technique based on Bayes’ Theorem with an independence assumption among pre...
One of the first uses of ensemble methods was the bagging technique. This technique was developed to...
Biological neural Network
ANN
The floods of 2018 and 2019 have underlined the urgent need for development and implementation of ef...
The incorporation of Artificial Intelligence (AI), especially deep learning models, into cybersecuri...
ML
Artificial intelligence (AI) is a current trend in computer science, which extends itself its amazin...
Outside the Classroom Although formal courses offer a solid theoretical basis, learning neural netwo...
Biological and Artificial Neural Networks
Basics of Neural networks and its image recognition and its applications of engineering fields and...
We propose to take advantage of the advances in Artificial Intelligence and, in particular, Long Sho...
Computers assemble visual images in the same way you might put together a jigsaw puzzle. You have al...