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 sequences. By automating feature extraction and capturing long ...

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

Sparkli said that education systems often fall behind in teaching modern concepts. The company wants to teach kids about ...

An innovative and scalable proximity labelling method profiled proteins present in the Caenorhabditis elegans brain during learning, identifying known regulators as well as novel biological pathways.

EDUCATION MEC David Maynier has assured frustrated parents that his department was working “around the clock” to ensure that the more than 7 500 unplaced learners are in the classroom. About 7,540 ...

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 ...

Curro Holdings announced that 2,694 learners achieved an impressive 99.40% pass rate Over 72% of the learners attained an average of 60% or higher Twenty-two learners from Curro schools were ...

You will be redirected to our submission process. Cervical cancer detection and diagnosis are undergoing a transformation with the integration of advanced deep learning (DL) technologies. Despite ...

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 ...

In today’s competitive academic world, students aren’t just aiming to pass the SAT, ACT, or GMAT. They’re aiming to stand out. A strong test score can open doors to top schools, scholarships, and ...

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 ...