Results 71 to 80 of about 220,107 (269)

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif, Diane Demailly, Gabriella A. Horvàth, Juan Dario Ortigoza Escobar, Nathalie Dorison, Mayté Castro Jiménez, Cécile A. Hubsch, Thomas Wirth, Gun‐Marie Hariz, Sophie Huby, Morgan Dornadic, Zohra Souei, Muhammad Mushhood Ur Rehman, Simone Hemm, Mehdi Boulaymen, Eduardo M. Moraud, Jocelyne Bloch, Xavier Vasques   +17 more
wiley   +1 more source

Numerical Study on the Optimization of Hydrogen Storage Performance in a Finned Sinusoidal Corrugated Tube Reactor

Energies
Metal hydride (MH) systems offer a compelling route to solid-state hydrogen storage, yet their practical charging rate is fundamentally limited by the low effective thermal conductivity of the hydride bed and the substantial exothermic heat generated ...
Haozhe Zhang, Shengjie Wang, Zeqi Chen, Jiajia Song, Ming Gao   +4 more
doaj   +1 more source

Numerical Energy Storage Efficiency of MWCNTs-Propylene Glycol by Inducing Thermal Radiations and Combined Convection Effects in the Constitutive Model. [PDF]

Front Chem, 2022
Adnan, Ashraf W, Khan I, Khan I, Shemseldin MA, Mousa AAA.   +5 more
europepmc   +1 more source

Microstructural Evolution and Vacancy Defect Formation in Mn–Mo–Ni RPV Steel Under Low Cycle Fatigue: Insights From EBSD and PALS

Advanced Engineering Materials, EarlyView.
Low‐cycle fatigue damage in Mn–Mo–Ni reactor pressure vessel steel is examined using a combined electron backscatter diffraction and positron annihilation lifetime spectroscopy approach. The study correlates texture evolution, dislocation substructure development, and vacancy‐type defect formation across uniform, necked, and fracture regions, providing
Apu Sarkar, Dhanadeep Dutta, G. Bharat Reddy   +2 more
wiley   +1 more source

Sleep Staging Method Based on Multimodal Physiological Signals Using Snake–ACO

Applied Sciences
Non-invasive electrocardiogram (ECG) and respiratory signals are easy to acquire via low-cost sensors, making them promising alternatives for sleep staging. However, existing methods using these signals often yield insufficient accuracy.
Wenjing Chu, Chen Wang, Liuwang Yang, Lin Guo, Chuquan Wu, Binhui Wang, Xiangkui Wan   +6 more
doaj   +1 more source

Boosting of Magnetic, Ferroelectric, Energy Storage Efficiency, and Piezoelectric Properties of Zn Intercalated SrBi₄Ti₄O₁₅-Based Ceramics. [PDF]

Materials (Basel), 2022
Jabeen N, Rehman AU, Hassan NU, Qaiser MA, Zaidi A, Khan MU, Khan IA, Nouman M.   +7 more
europepmc   +1 more source

Air‐Pressure–Actuated Vibroacoustic Metamaterial With Tunable Bandgap: Design, Modeling, and Characterization

Advanced Engineering Materials, EarlyView.
This article presents the design, modeling, and characterization of air‐pressure–actuated programmable vibroacoustic metamaterials (PVAMM). The study focuses on leveraging air pressure to dynamically tune resonance frequencies for effective noise attenuation.
William Kaal, Michael M. Becker, Sarah C. L. Fischer   +2 more
wiley   +1 more source

Improving forecasting accuracy of renewable energy generation via periodicity-aware deep learning framework with Time2Vec

Green Energy and Intelligent Transportation
Accurate forecasting of photovoltaic (PV) and wind power generation is vital for reliable renewable energy operations. However, their differing temporal characteristics, especially in periodicity, pose challenges for unified prediction models. This paper
Hang Wan, Jiasong Wang, Quan Gan, Rui Quan, Yaping Xia, Sara Himmiche, Yufang Chang   +6 more
doaj   +1 more source

Enhancement of Thermo-Physical Properties of Expanded Vermiculite-Based Organic Composite Phase Change Materials for Improving the Thermal Energy Storage Efficiency. [PDF]

ACS Omega, 2021
Song S, Li J, Yang Z, Wang C.
europepmc   +1 more source

Supercapacitors: An Efficient Way for Energy Storage Application

Materials
To date, batteries are the most widely used energy storage devices, fulfilling the requirements of different industrial and consumer applications. However, the efficient use of renewable energy sources and the emergence of wearable electronics has created the need for new requirements such as high-speed energy delivery, faster charge–discharge speeds ...
Mate Czagany, Szabolcs Hompoth, Anup Kumar Keshri, Niranjan Pandit, Imre Galambos, Zoltan Gacsi, Peter Baumli   +6 more
openaire   +2 more sources