Artificial intelligence is rapidly becoming one of the most lucrative and sought-after fields. The ongoing digital ...

Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...

In a groundbreaking development at the intersection of artificial intelligence (AI) and medicine, Tobi Titus Oyekanmi, a ...

That’s the idea behind Umia, billed as the world’s first “ AI manicure machine”. At first glance, it looks more like a ...

CNN and random forest model to detect multiple faults in bifacial PV systems, including dust, shading, aging, and cracks. Using simulated I-V curves and a 180-day synthetic dataset, the model achieved ...

There’s a remarkable new report from the CNN Investigates team about crypto ATMs, devices that may be at your corner store and which allow people to exchange money for cryptocurrency such as Bitcoin.

Abstract: Over the past few years especially in the context of communication and information processing the importance of Natural language processing which demands efficient deep learning models has ...

Abstract: Fault classification in multi-bus transmission lines with high precision and security is crucial for ensuring a reliable and stable power supply. Data-driven approaches have demonstrated ...

This repo contains the python codes of my final thesis "Analysis of leaf species and detection of diseases using image processing and machine learning methods". This project uses a pre-trained ...

Charlevoix — I learned to drive a time machine this summer: the 1925 Ford Model T. On Clark Road, a two-lane dirt-and-gravel byway, I shifted into second gear, released the clutch, and headed south ...

A captive audience of US travelers will be getting a new message from a top US government officials: It’s all Democrats’ fault. The audience is people in line for Transportation Security ...