Results 151 to 160 of about 4,899,455 (291)

Traveling wave solution and qualitative behavior of fractional stochastic Kraenkel-Manna-Merle equation in ferromagnetic materials. [PDF]

Sci Rep
Luo J.
europepmc   +1 more source

Sports Activity Recognition Using Textile‐Based Sensor Fusion and Complex‐Valued Residual Convolutional Neural Networks

Advanced Intelligent Systems, EarlyView.
Motion artifacts in electrocardiographic signals, conventionally dismissed as noise, are shown to encode discriminative activity information. A smart t‐shirt fusing textile strain sensors with textile ECG electrodes, processed through a complex‐valued residual network, recognizes 12 sport activities.
Nada Al‐azzawi, Munire Sibel Cetin, Asli Tuncay Atalay, Ozgur Atalay, Gökhan Ince   +4 more
wiley   +1 more source

AI‐Powered Smart Displays and AR Glasses: Perspectives and Challenges

Advanced Intelligent Systems, EarlyView.
This perspective examines how AI is reshaping smart displays and AR glasses. The latest in image‐quality enhancement, sensor‐integrated display optimization, and physiological sensing in display systems, followed by AI‐assisted AR technologies including waveguide optimization, image compensation, foveated rendering, and multimodal sensing, is discussed.
Luke Benoit, Yizhou Qian, Yi‐Chien Chen, Ziyang Shen, Po‐Sheng Chiu, Youngeon Lee, Cheng‐Han Ke, Chih‐Lung Lin, Shin‐Tson Wu   +8 more
wiley   +1 more source

Classification of Atmospheric Traveling Waves at Cloud Level. [PDF]

Arch Ration Mech Anal
Constantin A, Lin Z, Zhu H.
europepmc   +1 more source

Redistributive land reforms, agricultural productivity, and structural change: New cross‐national evidence

American Journal of Agricultural Economics, EarlyView.
Abstract Large‐scale land reforms constitute a substantial redistribution of wealth and reallocation of agricultural land, which is a major form of asset and production input in developing countries. While land redistribution (from the rich to the poor) remains a highly controversial issue, extensive evidence on its effect is limited.
Devashish Mitra, Abdulaziz B. Shifa, Lan Anh Tong, Mehmet A. Ulubasoglu   +3 more
wiley   +1 more source

Exact solutions and instability analysis of a fifth-order nonlinear evolution equation exhibiting multi-scale wave structures. [PDF]

Sci Rep
Hasan WM, Ahmed HM, Ahmed AM, Rezk HM, Rabie WB.   +4 more
europepmc   +1 more source

Identifying the Service Requirements for Primary Sexual Assault Medical Care and Forensic Evidence Collection in a Remote First Nations Community

Australian Journal of Social Issues, EarlyView.
ABSTRACT First Nations female sexual assault survivors in remote Northern Territory (NT) face significant barriers accessing place‐based medical care and forensic evidence collection, subsequently requiring evacuation to specialist services. Using decolonising Participatory Action Research methods, this study identified the workforce, training, and ...
Theresa Clasquin, Rachel Dikul Baker, Rosemary Gundjarranbuy, Annie Whybourne, Sue Kildea, Sue Kruske, Elaine Ḻäwurrpa Maypilama, Sarah Ireland   +7 more
wiley   +1 more source

A review of ring-type rotational MEMS traveling-wave ultrasonic micromotors: design, detection, control, and application validation. [PDF]

Microsyst Nanoeng
Xie J, Wang C, Dong L, Zhang Z, Zhou H, Zhang Y, Sun Y, Sun Y, Zhou T, Song C.   +9 more
europepmc   +1 more source

Residual Strength Prediction of Chemically Reactive Two‐Phase Nanofluid Flow in a Bingham–Papanastasiou Rheological Theory Using a Morlet‐Based Wavelet Neural Network Approach

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT The behavior of nanofluid flow involving a zero‐mass flux condition has received considerable interest because of a realistic scenario. In reality, this condition confines the optimistic accumulation or disappearance of nanoparticles past a sheet, constructing a more physically realistic demonstration through several applications, such as heat
Umair Khan, Hamza Rauf, Aurang Zaib, J. K. Madhukesh   +3 more
wiley   +1 more source

Going with the flow to solve for symmetry-driven PDE dynamics with physics-informed neural networks. [PDF]

Nat Commun
Kavousanakis ME, Fabiani G, Georgiou AS, Siettos C, Kevrekidis PG, Kevrekidis IG.   +5 more
europepmc   +1 more source