Results 131 to 140 of about 5,919,093 (251)

A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws

Advanced Intelligent Discovery, EarlyView.
The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows, G. Zhang, S. Anand, Z. Chen, J. Lin, A. Desai, S. Martiniani, F. Caravelli   +7 more
wiley   +1 more source

A Multimodal Intelligent System for Human Digital Twin Simulation with Continuous Kinematic Data Tracking, Biometric Prognosis, and Cognitive State Feedback in Industrial Environments

Advanced Intelligent Discovery, EarlyView.
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury, Sebastian Gratz‐Kelly, Eric Wagner, Paul Motzki, Martina Lehser   +4 more
wiley   +1 more source

Prediction of Non-Resting Energy Expenditure using Accelerometry

, 2019
The accurate measurement of total energy expenditure is a cornerstone of metabolic research. However, there is a lack of measurement methods that are valid, objective, inexpensive, and easy to use.
Wilhelm, Spencer Christian
core  

Materials Representation Learning Based on a Material–Motif Network and Heterogeneous Graphs

Advanced Intelligent Discovery, EarlyView.
Structure motifs in materials are used to construct a bipartite material–motif network that links each material to its constituent motifs and establishes connectivity among materials sharing common motifs. Network analysis reveals material clusters associated with different functional applications and supports motif‐guided screening of materials.
Anoj Aryal, Weiyi Gong, Huta Banjade, Qimin Yan   +3 more
wiley   +1 more source

Interpretable Short‐Term Electric Load Forecasting

Advanced Intelligent Systems, EarlyView.
A temporal fusion transformer is implemented to generate day‐ahead forecasts of the hourly electrical load of a departmentbuilding at an Italian university. A forecasting performance improvement of more than 25% compared with established benchmark models and a provision of inherent robust interpretability insights reveal the potential of this model for
Alessandro Nicola, Giorgia Ghione, Vincenzo Randazzo, Vincenzo Franzitta, Marco Badami, Eros Pasero, Giansalvo Cirrincione   +6 more
wiley   +1 more source

Fatigue‐Driven Adaptive Assistance for a Semi‐Active Upper‐Limb Occupational Exoskeleton

Advanced Intelligent Systems, EarlyView.
Physical fatigue during a physical activity is estimated in real time to enable adaptive exoskeleton assistance. By continuously adjusting the level of support according to the user’s fatigue, this approach reduces physical demand and provides a pathway toward personalized exoskeleton assistance.
Seemab Zakir, Lorenzo Grazi, Simone Prisinzano, Francesco Giovacchini, Nicola Vitiello, Emilio Trigili, Simona Crea   +6 more
wiley   +1 more source

Applicability of resting energy expenditure prediction equations in Chinese nursing home residents. [PDF]

Front Nutr
Xu Z, Li T, Du S, Yue M, Wang L, Sun J, Zhao Y, Chen X.   +7 more
europepmc   +1 more source

Towards Human‐Centered Intelligent Inhabitable Spaces: A Review

Advanced Intelligent Systems, EarlyView.
This review introduces Robot‐Rooms as a new category of architectural‐scale robots that do not operate within a space but actively form and reconfigure the space around their occupants. Drawing from robotics, HCI, architecture, and the arts, an interdisciplinary framework is proposed that maps the enabling technologies and integration challenges ...
Nithesh Kumar, Ge Lv, Keith E. Green, Ian D. Walker   +3 more
wiley   +1 more source

Changes in resting energy expenditure during pregnancy.

, 2019
Background The aim of this work was to determine changes in resting energy expenditure in three periods of pregnancy using indirect calorimetry and assess correlations between the obtained resting energy expenditure values and anthropometric parameters ...
Gierová, Lucie
core  

Bias Characterization of Resting Energy Expenditure Prediction Equations in Japanese Subjects: A Pilot Exploratory Study. [PDF]

Nutrients
Matsuura H, Deguchi K, Iizuka K.
europepmc   +1 more source