Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...

The State Department’s decision to stop using the Calibri typeface in favor of Times New Roman shook one community far removed from the workings of government: type designers. “I love it when, once in ...

A comprehensive comparative study of deep learning architectures for Human Activity Recognition (HAR) using the UCI-HAR dataset. This research evaluates the performance of CNN-LSTM, attention ...

1 Department of Computer Science, College of Computing and Information Technology, Shaqra University, Shaqra, Saudi Arabia 2 InnoV'COM Laboratory-Sup'Com, University of Carthage, Ariana, Tunisia ...

Abstract: This research study presents a comprehensive analysis comparing the performance of supervised machine learning, deep learning, Extreme Learning Machines (ELM), and Genetic Algorithm (GA) ...

Fear is not something one typically associates with Dwayne Johnson. Certainly not in the ring, as the charismatic heel with the cocked eyebrow, and not in Hollywood, where he has cemented himself as ...

ABSTRACT: Phishing attacks remain a pervasive threat in the cybersecurity landscape, necessitating intelligent and scalable detection mechanisms. This paper suggests a deep learning-based method for ...

What if the key to unlocking faster, more efficient machine learning workflows lies not in your algorithms but in the hardware powering them? In the world of GPUs, where raw computational power meets ...

MLE-STAR (Machine Learning Engineering via Search and Targeted Refinement) is a state-of-the-art agent system developed by Google Cloud researchers to automate complex machine learning ML pipeline ...

1 Clinical Laboratory Center of People's Hospital, Xinjiang, Urumuqi, China 2 Department of Anesthesiology and Perioperative Medicine, Fourth Clinical College of Xinxiang Medical College, Xinxiang ...