IEEE

Forearm Radiomyography for Character and Writer Identification in Air Writing

Abstract: This paper explores the air writing application of radiomyography (RMG), a near-field radio frequency (NFRF) sensing modality, and studies the key issues in human-computer interaction (HCI), ...
techxplore

Enhanced YOLO framework boosts 360-degree small-object detection to 90% accuracy

Omnidirectional cameras are widely popular as they capture a full 360-degree view. They are often utilized for surveillance, traffic analysis, and autonomous systems. But the same wide-angle vision ...
IEEE

From Numerals to Letters: A Meta Learning-based Robotic Calligraphy System

Abstract: Robotic calligraphy is often regarded as an important automation benchmark problem due to its theoretical significance of integrating aesthetic creativity to accurate robotic task ...
The Lancet

A CT-based radiomics classification model for the prediction of histological type and tumour grade in retroperitoneal sarcoma (RADSARC-R): a retrospective multicohort analysis

Copyright: © 2023 The Royal Marsden Hospital. Published by Elsevier Ltd.
Frontiers

Demonstration of transfer learning using 14 nm technology analog ReRAM array

Analog memory presents a promising solution in the face of the growing demand for energy-efficient artificial intelligence (AI) at the edge. In this study, we demonstrate efficient deep neural network ...
Forbes

How To Avoid Bias In Machine Learning Algorithms

In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing, ...
Frontiers

Deep Learning Algorithm for Automated Detection of Polycystic Ovary Syndrome Using Scleral Images

The high prevalence of polycystic ovary syndrome (PCOS) among reproductive-aged women has attracted more and more attention. As a common disorder that is likely to threaten women’s health physically ...
eLife

DeepEthogram, a machine learning pipeline for supervised behavior classification from raw pixels

Videos of animal behavior are used to quantify researcher-defined behaviors of interest to study neural function, gene mutations, and pharmacological therapies. Behaviors of interest are often scored ...
The Lancet

Deep learning to detect acute respiratory distress syndrome on chest radiographs: a retrospective study with external validation

aDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, USA bCenter for Computational Medicine and Bioinformatics, ...