Psychology Today

AI Foundation Model Predicts Diseases From Brain Scans

Breakthrough AI foundation model called BrainIAC is able to predict brain age, dementia, time-to-stroke, and brain cancer ...
IEEE

An Interpretable Machine Learning Model for Leukemia Diagnosis Using CNN-SVM and Explainable AI

Abstract: The method uses a new approach for classifying leukaemia by connecting a CNN with an SVM classifier built especially for the task. Because white blood cell morphology diagnosis is crucial ...
Beebom

What is CNN in Deep Learning? The AI Behind Computer Vision

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...
IEEE

Hybrid CNN–LGBM Model for Planetary Boundary Layer Height Estimation Combined With Temporal–Height–Spatial Features

Abstract: The planetary boundary layer (PBL) height (PBLH), as a critical meteorological parameter, plays a pivotal role in atmospheric dynamics, climate, and pollution diffusion studies. A radar wind ...
Frontiers

Comparative study of machine learning and deep learning in predicting the shear strength of marine sand and polymer layer interfaces interface under marine temperature effects

In marine engineering, polymer layers are anti-seepage barrier materials. The mechanical interaction between marine sand and polymer layer significantly affects overall structural stability. In this ...
Frontiers

An optimized transfer learning approach integrating deep convolutional feature extractors for malaria parasite classification in erythrocyte microscopy

Background: Malaria, caused by Plasmodium parasites transmitted through bites from infected female Anopheles mosquitoes, results in severe symptoms such as anemia and potential organ failure. The high ...
InfoWorld

AI and machine learning outside of Python

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.
Scientific Research Publishing

Abu-Nimeh, S., Nappa, D., Wang, X. and Nair, S. (2007) A Comparison of Machine Learning Techniques for Phishing Detection. Proceedings of the Anti-Phishing Working Groups 2nd ...

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 ...
Scientific Research Publishing

Mahajan, R. and Siddavatam, I. (2018) Phishing Website Detection Using Machine Learning Algorithms. International Journal of Computer Applications, 181, 45-47.

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 ...