Results 91 to 100 of about 3,188,697 (327)
Advanced Functional Materials, EarlyView.A novel stratum corneum‐inspired zwitterionic hydrogel is developed for intelligent, flexible sensors, featuring intrinsic water retention and anti‐freezing properties. The quasi‐gel, composed of hygroscopic polymers and bound water, maintains its softness across a wide range of humidity.
Meng Wu +8 more
wiley +1 more source
Spiking Neural Networks for People Counting Based on FMCW Radar
IEEE AccessThis paper presents an innovative method for indoor people counting using Spiking Neural Networks (SNNs) exclusively with radar data, effectively addressing privacy concerns associated with camera-based systems.
Alberto Martin-Martin +6 more
doaj +1 more source
, 2019 Optical coherence tomography (OCT) has become the most important imaging modality in ophthalmology. A substantial amount of research has recently been devoted to the development of machine learning (ML) models for the identification and quantification of
Bogunović, Hrvoje +7 more
core +1 more source
Autonomous Control of Extrusion Bioprinting Using Convolutional Neural Networks
Advanced Functional Materials, EarlyView.This work presents a novel computer vision system for high‐fidelity monitoring of extrusion‐based bioprinting and a correction system utilizing convolutional neural networks for error mitigation. This system has demonstrated high detection accuracy and extrusion correction abilities that advance the state of the art toward accelerated printing ...
Daniel Kelly +4 more
wiley +1 more source
Enhancing Face Recognition Model Performance Through HyperStyle-Driven Data Augmentation
Applied Computational Intelligence and Soft ComputingFace recognition is a reliable biometric technology that utilizes artificial intelligence and computer vision to identify and verify an individual’s identity based on facial features.
Muhammad Chaidir +3 more
doaj +1 more source
AnimalsThe monitoring of pre-weaned calf behavior is crucial for ensuring health, welfare, and optimal growth. This study aimed to develop and validate a machine learning-based technique for the simultaneous monitoring of multiple behaviors in pre-weaned beef ...
Seong-Jin Kim +3 more
doaj +1 more source
Early detection and analysis of accurate breast cancer for improved diagnosis using deep supervised learning for enhanced patient outcomes [PDF]
PeerJ Computer ScienceEarly detection of breast cancer (BC) is essential for effective treatment and improved prognosis. This study compares the performance of various machine learning (ML) algorithms, including convolutional neural networks (CNNs), logistic regression (LR ...
Mandika Chetry +10 more
doaj +2 more sources
The Influence Of Applying Stopword Removal And Smote On Indonesian Sentiment Classification
Lontar Komputer, 2023 Information, like public opinions or responses, can be obtained through Twitter tweets. These opinions can expressed as a sentiment. Sentiments can be positive, neutral, or negative.
Arif Bijaksana Putra Negara
doaj +1 more source
Uncertainty Detection as Approximate Max-Margin Sequence Labelling [PDF]
, 2010 This paper reports experiments for the CoNLL 2010 shared task on learning to detect hedges and their scope in natural language text. We have addressed the experimental tasks as supervised linear maximum margin prediction problems.
Dalianis, Hercules +5 more
core +2 more sources
Marine Debris Detection in Satellite Surveillance using Attention Mechanisms
, 2023 Marine debris is an important issue for environmental protection, but current methods for locating marine debris are yet limited. In order to achieve higher efficiency and wider applicability in the localization of Marine debris, this study tries to ...
Jiang, Richard, Shen, Ao, Zhu, Yijie
core