Results 41 to 50 of about 3,717 (263)

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

open access: yesArthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos   +2 more
wiley   +1 more source

A Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
Block Diagram of the Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller. ABSTRACT This article introduces a discrete‐time robust adaptive one‐sample‐ahead preview super‐twisting sliding mode controller. A stability analysis of the controller by Lyapunov criteria is developed to demonstrate its robustness in handling both ...
Guilherme Vieira Hollweg   +5 more
wiley   +1 more source

Interaction of MgO Recyclate‐Based Cermet Anode With KF‐AlF3‐Al2O3 at 800°C During Laboratory Scale Aluminum Molten Salt Electrolysis

open access: yesAdvanced Engineering Materials, EarlyView.
A carbon‐free, as‐sintered MgO–steel cermet anode, fabricated via cold isostatic pressing using MgO–C refractory recyclate, was evaluated under laboratory‐scale K‐cryolite electrolysis at 800°C. Operation at this reduced temperature, combined with the electrolyte's limited electrical conductivity, led to an increase in cell voltage.
Farhan Hossain   +7 more
wiley   +1 more source

Design and analysis of hardware Trojans in approximate circuits

open access: yesElectronics Letters, 2022
Approximate computing can accept errors in computation systems to achieve better utilisation of hardware resources. Approximate computing has been successfully developed in integrated circuits, such as approximate arithemtic circuits and approximate ...
Yuqin Dou   +4 more
doaj   +1 more source

Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows

open access: yesAdvanced Engineering Materials, EarlyView.
A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba   +5 more
wiley   +1 more source

High-Level Design of Precision-Scalable DNN Accelerators Based on Sum-Together Multipliers

open access: yesIEEE Access
Precison-scalable (PS) multipliers are gaining traction in Deep Neural Network accelerators, particularly for enabling mixed-precision (MP) quantization in Deep Learning at the edge.
Luca Urbinati, Mario R. Casu
doaj   +1 more source

Hardware Accelerated DNA Sequencing [PDF]

open access: yes2018 IEEE 61st International Midwest Symposium on Circuits and Systems (MWSCAS), 2018
Basecalling is a core function in DNA sequencing. It is responsible for the conversion of measured date to a text representation of the DNA’s molecular make-up. Recent advances in sequencing machinery have greatly accelerated the rate at which DNA data can be gathered using miniaturized platforms.
ZhongPan Wu   +4 more
openaire   +1 more source

Surface Tension Measurement of Ti‐6Al‐4V by Falling Droplet Method in Oxygen‐Free Atmosphere

open access: yesAdvanced Engineering Materials, EarlyView.
In this article, the temperature‐dependent surface tension of free falling, oscillating Ti‐6Al‐4V droplets is investigated in both argon and monosilane doped, oxygen‐free atmosphere. Droplet temperature and oscillation are captured with one single high‐speed camera, and the surface tension is calculated with Rayleigh's formula.
Johannes May   +9 more
wiley   +1 more source

Energy-Efficient Acceleration of Deep Neural Networks on Realtime-Constrained Embedded Edge Devices

open access: yesIEEE Access, 2020
This paper presents a hardware management technique that enables energy-efficient acceleration of deep neural networks (DNNs) on realtime-constrained embedded edge devices. It becomes increasingly common for edge devices to incorporate dedicated hardware
Bogil Kim   +3 more
doaj   +1 more source

Resource efficiency of hardware extensions of a 4-issue VLIW processor for elliptic curve cryptography [PDF]

open access: yesAdvances in Radio Science, 2010
The secure transmission of data plays a significant role in today's information era. Especially in the area of public-key-cryptography methods, which are based on elliptic curves (ECC), gain more and more importance.
T. Jungeblut   +6 more
doaj   +1 more source

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