AI Researcher Mahfuz Islam Khan Jabed Advances Ethical, Explainable AI for Workforce and Healthcare Applications

This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...

Engineers Are Being Hired For These Skills In 2026, According To LinkedIn

Large Language Model Operations (LLMOps): Managing, deploying, and optimizing AI models like GPT. LLMOps involves fine-tuning, scaling, monitoring performance, and integrating AI systems into ...
GitHub

This repository includes unsupervised (k-means clustering) and supervised (RF and CNN) machine learning models for analyzing complex surface topographies.

Cite as: {Henkel, M., Sprenger, M., and Lieleg, O., Machine learning for small data sets: an exemplary study on the classification of highly complex surface micromorphologies, unpublished work} The ...
IEEE

Attention Mechanisms-Based CNN Regression Model for Optimal Design of SPMSM

Abstract: This paper proposes an optimal design method for surface-mounted permanent magnet synchronous motors (SPMSMs) based on electromagnetic performance prediction using a convolutional neural ...
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.
Frontiers

Multicenter evaluation of machine and deep learning methods to predict glaucoma surgical outcomes

To develop machine learning (ML) and neural network (NN) models to predict glaucoma surgical outcomes, including intraocular pressure (IOP), use of ocular antihypertensive medications, and need for ...
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 ...
IEEE

Non-Invasive Glucose Monitoring Using Optical Sensors and Machine Learning: A Predictive Model for Nutritional and Health Assessment

Abstract: Glucose monitoring plays a vital role in maintaining metabolic and nutritional balance. However, invasive methods, while accurate, are often painful and impractical for routine use. This ...