This research assesses four demonstration quantum machine learning models—QSVC, QNN, and VQC—for IoT intrusion detection ...

A systematic review of 62 studies finds no single machine learning algorithm consistently best for early Alzheimer's ...

A literature review finds that machine learning and bioinformatics have improved AML classification and risk stratification, ...

This research demonstrates a performance gap using a projected quantum kernel on Engineered Learning Problems with up to 45 ...

Information technology certifications have become valuable credentials for professionals seeking to demonstrate their ...

Last time, I mentioned that machine learning is a method where humans don't write the rules, but instead let the machine find ...

Introduction Recurrent stroke remains a major threat after an index stroke, but individual risk is difficult to estimate because recurrence reflects interacting clinical, imaging, treatment, ...

Hello everyone, stay safe!! This is Takachan the engineer.AI that identifies spam, AI that predicts sales, AI that ...

How ML secures blockchain payments with fraud detection, AML analytics, risk scoring, and real-time transaction monitoring.

In this paper, explainable artificial intelligence (XAI) based prediction is used for gate all around (GAA) MOSFET to predict its electrical behaviour. The data set is produced using TCAD simulations ...

Osteoporosis is underdiagnosed because dual-energy X-ray absorptiometry (DXA) is costly and scarce. We present MultiScaleKANNet, a hybrid deep-learning architecture for radiographic bone-loss risk ...

If you see an app that says it is “powered by AI”, the more useful question is not simply “Does it use AI?” but “What kind of ...