Joint Learning of Temporal Models to Handle Imbalanced Data for Human Activity Recognition
Human activity recognition has become essential to a wide range of applications, such as smart home monitoring, health-care, surveillance. However, it is challenging to deliver a sufficiently robust human activity recognition system from raw sensor data ...
Rebeen Ali Hamad +3 more
doaj +1 more source
Reconstructing enzyme evolution by protein engineering
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler +2 more
wiley +1 more source
Deep neural network based human activity recognition for the order picking process
Art. 14, 6 S.Although the fourth industrial revolution is already in progress and advances have been made in automating factories, completely automated facilities are still far in the future.
Fink, Gernot A. +5 more
core +1 more source
Investigating transcription factor dynamics in health and disease using FRAP
FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj +3 more
wiley +1 more source
Activity theory: A framework for analysing intercultural academic activity [PDF]
This article suggests that Activity Theory (AT) can be applied as a holistic framework to analyse the complex sociocultural issues that arise when academics wish to engage in collaborative activity across institutional and cultural boundaries.
Barnard, Roger, 2245
core
Microbiome‐blood–brain barrier interactions in aging — mechanisms and therapeutic potential
Aging reshapes the gut microbiome (↓SCFA‐producing commensals; ↑pro‐inflammatory outputs), shifting circulating metabolites (↓SCFAs; ↑LPS, ↑TMAO, ↑PAA) that act at the BBB to increase nonspecific transcytosis, alter transport, and promote astrocyte reactivity, heightening brain vulnerability.
Daniel Cuervo‐Zanatta +3 more
wiley +1 more source
Informative shape representations for human action recognition
Shape and kinematics are two important cues in human movement analysis. Due to real difficulties in extracting kinematics from videos accurately, this paper proposes to address the problem of human action recognition by spatiotemporal shape analysis ...
Liang Wang +3 more
core +1 more source
Multi-sensor human action recognition with particular application to tennis event-based indexing [PDF]
The ability to automatically classify human actions and activities using vi- sual sensors or by analysing body worn sensor data has been an active re- search area for many years. Only recently with advancements in both fields and the ubiquitous nature of
Connaghan, Damien
core +2 more sources
Distance-based wrapper model for human activity recognition
In this paper, we developed an effective wrapper-based model to optimize the recognition of physical human daily life activities recorded by smartphone built-in sensors.
Rana Alauldeen Abdalrahman +2 more
doaj +1 more source
Adaptive HAR System to Improve Recognition Accuracy
HAR (Human Activity Recognition) system becomes complex, inefficient and less accurate as we keep on adding new activities into the system; because it follows a specific procedure for activity recognition, from raw data collection to classification.
Muhammad Arshad Awan
doaj +1 more source

