This project involves building an end-to-end supervised classification system for Native Language Identification (NLI) to predict the native language background of English learners based on their ...

This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.

Abstract: Few-shot learning (FSL) facilitates a variety of computer vision tasks yet remains vulnerable to adversarial attacks. Existing adversarially robust FSL methods rely on either visual ...

Abstract: Load-shedding is vital for managing electrical power shortages and avoiding grid collapse. However, excessive electricity demand poses an imminent threat to the overall stability of power ...

A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral analysis and SVM classification, the approach improves ...

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...

1️⃣ We present an interesting attempt, as illustrated in the figure below: Using the latest GPT-4o large model to generate schematic cancer gene identification. It is undeniable that the LLM possesses ...

The new school year is off to a rocky start after an education watchdog spilled the beans that 76 children were crammed into one classroom at Zeekoevlei Primary School. As schools opened for the 2026 ...

This study will update and extend How People Learn: Brain, Mind, Experience, and School (2000) by examining the research that has emerged across various disciplines that focus on the study of learning ...

SINGAPORE – Taking lessons to seek a driving licence has become more expensive, with the three driving centres in Singapore raising fees from Jan 1. At Singapore Safety Driving Centre (SSDC) in ...