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 ...

Abstract: Advanced Driver Assistance System (ADAS) aim to enhance the driving experience for the driver. However, they can not make their contribution if drivers do not accept them and are not willing ...

A new low-power sensor node framework combines sensing and machine learning, with the potential to enhance real-time ...

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 ...

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.

Learn how Microsoft research uncovers backdoor risks in language models and introduces a practical scanner to detect tampering and strengthen AI security.

On college campuses across the United States, the introduction of generative artificial intelligence has sparked a sort of ...

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 ...

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 ...

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 ...