There are hundreds of cell types in the human body, each with a specific role spelled out in their DNA. In theory, all it ...
Abstract: Despite the wide variety of applications and use cases that can be solved with the help of machine learning algorithms, researchers have yet to develop a general artificial intelligence ...
We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...
Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...
ABSTRACT: Artificial Intelligence (AI) is rapidly transforming the landscape of project management by enhancing the accuracy, efficiency, and responsiveness of key operations such as budget estimation ...
ABSTRACT: Ahead of the Internet of Things and the emergence of big data, the interest of research is today focused on radio access and the process of optimizing it or increasing its capacity and ...
This project uses sentiment analysis using tweepy and textblob and Deep Learning model, Long-Short Term Memory (LSTM) Recurrent neural network (RNN) algorithm to predict closing prices of stocks.
Abstract: Recent advances in Convolutional Neural Networks (CNNs) have significantly enhanced image classification performance. However, CNNs often require large numbers of parameters, leading to ...
Background: In the power system, the identification of the health status of the transmission tower is a daily task that must be performed. In addition, bolt loosening is a common damage mode affecting ...
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