Results 111 to 120 of about 11,090,884 (273)

Fabrication Routes for Ionic Conducting Fiber Strain Sensors

open access: yesAdvanced Engineering Materials, EarlyView.
Ionic conducting fiber strain sensors (ICFSs) offer compliant, textile‐integrable sensing. Thus far, the commercialization of ICFSs has been constrained by fiber fabrication routes. This review provides a fabrication‐centric analysis of ICFSs correlating processing strategies with material properties and scalability.
Leo John Kershaw   +3 more
wiley   +1 more source

FastNano Liquid: An Automated Platform for Small‐Angle X‐ray Scattering‐Based Materials Discovery

open access: yesAdvanced Engineering Materials, EarlyView.
We present FastNano Liquid, an automated small‐ and wide‐angle X‐ray scattering platform for the combined synthesis and characterization of (nano)materials. The platform is coupled to varied reactor workflows for both in situ studies of reaction kinetics and ex situ screening of synthesis conditions to support machine learning‐guided exploration ...
Pierre‐Baptiste Flandrin   +16 more
wiley   +1 more source

Human skin color clustering for face detection [PDF]

open access: yes, 2003
Computer vision is one out of many areas that wants to understand the process of human functionality and copy that process with intention to complement human life with intelligent machines. For better human–computer interaction it is necessary for the
Solina, Franc, Kovač, Jure, Peer, Peter
core   +1 more source

Detecting Anomalous Cell Behavior in Electrochemical Battery Testing Using Machine Learning

open access: yesAdvanced Engineering Materials, EarlyView.
Machine‐learning‐based screening enables automated identification of anomalous battery cells from complementary electrochemical tests. A curated battery database supports configuration‐aware comparison of rate‐capability and impedance data. Supervised classification of rate‐test data achieves 90% accuracy, while CNN‐VAE‐based impedance analysis reaches
Minu Rose   +7 more
wiley   +1 more source

A Review on Human Gait Detection [PDF]

open access: yes, 2019
The human gait is the identification of human locomotive based on limbs position or action The tracking of human gait can help in various applications like normal and abnormal gait fall detection gender detection age detection biometrics and in some
Pavithra D S, Shrishail Math
core  

A HUMAN FOLLOWING ROBOT FOR FALL DETECTION [PDF]

open access: yes, 2020
This thesis presents work on a human following robot for detecting falls in the home of the elderly. The goal is to have a robot that can detect a human, follow the human in a cluttered space, and determine when the human falls.
Adebola, Simeon Oluwafunmilore
core  

Intermediate Resistive State in Wafer‐Scale Vertical MoS2 Memristors Through Lateral Silver Filament Growth for Artificial Synapse Applications

open access: yesAdvanced Functional Materials, EarlyView.
In MOCVD MoS2 memristors, a current compliance‐regulated Ag filament mechanism is revealed. The filament ruptures spontaneously during volatile switching, while subsequent growth proceeds vertically through the MoS2 layers and then laterally along the van der Waals gaps during nonvolatile switching.
Yuan Fa   +19 more
wiley   +1 more source

Fusogenic RNA Nanomodules for Fusion‐Mediated and Multiplexed siRNA Delivery

open access: yesAdvanced Functional Materials, EarlyView.
A fusogenic lipid‐layered RNA nanomodules (L‐CRAMs) enable high‐capacity and long‐lasting siRNA delivery through membrane fusion. These nanomodules carry exceptionally large siRNA payloads, avoid conventional endosomal uptake, and release multiple functional siRNAs through Dicer‐mediated processing.
Sunghyun Moon   +5 more
wiley   +1 more source

ekramalam/GMDCSA24-A-Dataset-for-Human-Fall-Detection-in-Videos: 1.1.0

open access: yes
<p>Video captured by a new actor in a new home environment has been added. The GMDCSA-24 dataset now contains video clips of ADL and fall actions performed by four actors in three home environments.</p ...
Ekram Alam
core   +1 more source

Human Fall Motion Prediction: Fall Motion Forecasting and Detection with GRU

open access: yesJURNAL TEKNIK INFORMATIKA
The human fall motion prediction system is a preventive tool aimed at reducing the risk of falls. In our research, we developed a deep learning model that utilizes pose estimation to track human body posture and integrated this with a Gated Recurrent Unit (GRU) to forecast human motion and predict falls. GRU, an enhancement of Recurrent Neural Network (
Andi Prademon Yunus   +2 more
openaire   +1 more source

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