Results 131 to 140 of about 1,060,009 (254)

Block-based compressive sensing in deep learning using AlexNet for vegetable classification. [PDF]

PeerJ Comput Sci, 2023
Dyah Irawati I, Budiman G, Saidah S, Rahmadiani S, Latip R.   +4 more
europepmc   +1 more source

Spatially Modulated Morphotropic Phase Boundaries in a Compressively Strained Multiferroic Thin Film

Advanced Functional Materials, EarlyView.
ABSTRACT The coexisting rhombohedral‐like (R′, MA) and tetragonal‐like (T′, MC) monoclinic phases in compressively strained bismuth ferrite thin films exhibit exceptional piezoelectric and magnetic properties. While previous studies have largely focused on probing the morphotropic phase boundaries (MPBs) comprising ordered R′/T′ twins, their self ...
Ting‐Ran Liu, Xiangwei Guo, Sajid Husain, Maya Ramesh, Pushpendra Gupta, Darrell Schlom, Ramamoorthy Ramesh, Yu‐Tsun Shao   +7 more
wiley   +1 more source

Quantifying Subsurface Weak in‐Plane Magnetization of Mixed Phase BiFeO3 by Scanning Nitrogen Vacancy Magnetometry

Advanced Functional Materials, EarlyView.
We use scanning nitrogen vacancy magnetometry to directly image the weak in‐plane magnetic moments in mixed phase BiFeO3 at the nanoscale and quantify the local magnetic moments to be 18.8±2.0 μB/nm2 in the rhombohedral‐like phase and 1.5±0.6 μB/nm2 in the well‐known non‐magnetic tetragonal‐like phase.
Lei Wang, Zhewen Xu, Yuwen Xu, Björn Josteinsson, Simon Josephy, Dawei Zhang, Yunlong Sun, Heung‐Sik Park, Jihun Kim, Kanghyun Chu, Kyung Song, Danyang Wang, Chan‐Ho Yang, Andrea Morales, Jan Seidel   +14 more
wiley   +1 more source

Compressive Sensing [PDF]

, 2010
This work is an expository overview of certain key elements in the area of compressive sensing. As a sub-discipline of signal processing, compressive sensing is concerned with both sampling and reconstruction techniques.
Booth, Joshua
core  

Glissile Interphase Boundaries Enable Collective Phase Switching in Epitaxial Polar Oxides

Advanced Functional Materials, EarlyView.
A triple point is identified in the phase diagram of low‐symmetry epitaxial BiFeO3 thin film along with an extended regime of phase competition associated with a flattened energy landscape. The electromechanical response is shown to be governed by correlated interphase‐boundary motion, including scale‐free avalanche dynamics characteristic of systems ...
Mohammad Moein Seyfouri, Oliver Paull, Ralph Bulanadi, Yasuhiro Sakamoto, Shintaro Yasui, Mikayla Lord, Mahak Chhabra, David Walker, Patrycja Paruch, Shery Chang, Nagarajan Valanoor, Daniel Sando   +11 more
wiley   +1 more source

Compressive sensing of functional connectivity maps from patterned optogenetic stimulation of neuronal ensembles. [PDF]

Patterns (N Y), 2023
Navarro P, Oweiss K.
europepmc   +1 more source

Advances in Sustainable and Wearable Textile Based Soft Robotics

Advanced Functional Materials, EarlyView.
This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas, Marzia Dulal, Sophia K. Novoselov, Victoria K. Novoselov, Kostya S. Novoselov, Shaila Afroj, Nazmul Karim   +6 more
wiley   +1 more source

Compressive Sensing of Medical Images Based on HSV Color Space. [PDF]

Sensors (Basel), 2023
Satrya GB, Ramatryana INA, Shin SY.
europepmc   +1 more source

Giant Magnetic Coercivity Driven by Spin‐Bag Ferromagnetism in Epitaxial Sr3YCo4O10+δ Films with Engineered 2D Oxygen Vacancy Ordering

Advanced Functional Materials, EarlyView.
A giant magnetic coercivity and a vertical shift of hysteresis loops are demonstrated in Sr3YCo4O10+δ epitaxial films. The hard magnetic behavior originates from ferromagnetic spin bags stabilized within a long‐range ordered oxygen‐vacancy structure.
Yanbin Chen, Roger Guzman, Xiaomin Jia, Jialu Wu, Xing Xu, Li Sun, Jinbo Pan, Shixuan Du, Myung‐Hwan Whangbo, Wu Zhou, Jing Ma, Ce‐wen Nan, Chonglin Chen   +12 more
wiley   +1 more source

Optimized Projection Matrix for Compressive Sensing

EURASIP Journal on Advances in Signal Processing, 2010
Compressive sensing (CS) is mainly concerned with low-coherence pairs, since the number of samples needed to recover the signal is proportional to the mutual coherence between projection matrix and sparsifying matrix.
Xu Jianping, Pi Yiming, Cao Zongjie
doaj