Scientific Research Publishing

Early Alzheimer’s Disease Detection from Short Speech Samples Using Lightweight, Interpretable Linguistic Markers ()

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

Signature neural patterns may help predict recovery from traumatic brain injury

After traumatic brain injury (TBI), some patients may recover completely, while others retain severe disabilities. Accurately ...
Morning Overview on MSN

AI is learning to decode diseases hidden in your DNA

Artificial intelligence is rapidly becoming medicine’s most powerful microscope, revealing patterns in human DNA that were ...
Morning Overview on MSN

AI found cancer patterns that shocked the researchers

Artificial intelligence is no longer just spotting tumors a little faster than humans. In study after study, machine learning systems are uncovering hidden patterns in cancer data that even veteran ...
Electronic Specifier

Why optical character recognition is still a frontier for engineering

Despite its long history, optical character recognition (OCR) hasn’t evolved significantly since its inception.
Beebom

What is Deep Learning in AI? Understanding How AI Really Works

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...
Wired

When Face Recognition Doesn’t Know Your Face Is a Face

Autumn Gardiner thought updating her driving license would be straightforward. After getting married last year, she headed to the local Department of Motor Vehicles office in Connecticut to get her ...
IEEE

Machine Learning-Based Image Pattern Recognition Using Histogram of Oriented Gradient for Islanding Detection

Abstract: A vital issue faced by the distribution network is the occurrence of unintentional islanding. The failure to identify unintentional islanding results in significant implications for both the ...
Frontiers

Machine learning technique for the identification of two-phase (oil-water) flow patterns through pipelines

1 School of Mechanical Engineering, Universidad Industrial de Santander, Bucaramanga, Colombia 2 Industrial Multiphase Flow Laboratory (LEMI), Mechanical Engineering Department, São Carlos School of ...
Scientific Research Publishing

Minaee, S., Boykov, Y.Y., Porikli, F., Plaza, A.J., Kehtarnavaz, N. and Terzopoulos, D. (2021) Image Segmentation Using Deep Learning: A Survey. IEEE Transactions on Pattern ...

ABSTRACT: In this paper, a novel multilingual OCR (Optical Character Recognition) method for scanned papers is provided. Current open-source solutions, like Tesseract, offer extremely high accuracy ...
C&EN

Machine Learning-Assisted Lanthanide Fluorescence Sensor Array Based on pH Regulation for Pattern Recognition of Metal Ions in Biological Fluids

School of Materials and Chemistry, University of Shanghai for Science and Technology, Shanghai 200093, P. R. China ...
Microsoft

Pattern Recognition and Machine Learning

This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...