Results 141 to 150 of about 84,089 (265)

Automatic differentiation of Parkinson's disease motor subtypes based on deep learning and radiomics. [PDF]

Front Neurol
Hui D, Wang X, Xie L, Chen F, Guo Y, Luo Y, He X.   +6 more
europepmc   +1 more source

Bio‐Inspired Molecular Events in Poly(Ionic Liquids)

Advanced Functional Materials, EarlyView.
Originating from dipolar and polar inter‐ and intra‐chain interactions of the building blocks, the topologies and morphologies of poly(ionic liquids) (PIL) govern their nano‐ and micro‐processibility. Modulating the interactions of cation‐anion pairs with aliphatic dipolar components enables the tunability of properties, facilitated by “bottom‐up ...
Jiahui Liu, Marek W. Urban
wiley   +1 more source

Development and validation of a convolutional neural network for automatic differentiation of primary central nervous system lymphoma and glioblastoma. [PDF]

Cancer Imaging
Ji Q, Yang Z, Zhou L, Chen F, Li W.
europepmc   +1 more source

Pixelation‐Free, Monolithic Iontronic Pressure Sensors Enabling Large‐Area Simultaneous Pressure and Position Recognition via Machine Learning

Advanced Functional Materials, EarlyView.
A pixelation‐free, monolithic iontronic pressure sensor enables simultaneous pressure and position sensing over large areas. AC‐driven ion release generates spatially varying impedance pathways depending on the pressure. Machine learning algorithms effectively decouple overlapping pressure–position signals from the multichannel outputs, achieving high ...
Juhui Kim, Junseo Lee, Kwang‐Hun Choi, Seongil Im, Jae Hong Kim, Changsoon Choi, Junghwan Byun, Changhwan Shin, Ho Won Jang, Hyunsu Ju, Jung Ah Lim   +10 more
wiley   +1 more source

Automatic Differentiation is Essential in Training Neural Networks for Solving Differential Equations. [PDF]

J Sci Comput
Chen C, Yang Y, Xiang Y, Hao W.
europepmc   +1 more source

Gourd‐Inspired Design of Unit Cell with Multiple Gradients for Physiological‐Range Pressure Sensing

Advanced Functional Materials, EarlyView.
Gourd‐shaped micro‐dome arrays with coordinated modulus, conductivity, and geometric gradients co‐optimize sensitivity and linearity in piezoresistive tactile sensors. Under pressure, a solid upper dome embeds into a porous lower dome, triggering rapid contact‐area growth and series‐to‐parallel conduction, enabling unsaturated, intensity‐resolved ...
Jiayi Xu, Ming Lei, Yuanzhe Liang, Biao Qi, Ziyi Dai, Yong Zhao, Bingpu Zhou   +6 more
wiley   +1 more source

Automatic differentiation of voluntary and tremulous motion using ensemble empirical mode decomposition and convolutional Bi-directional LSTM. [PDF]

Sci Rep
Ling JQ, Bakibillah ASM, Chan PY, Nurzaman SG, Tan CP.   +4 more
europepmc   +1 more source

End-to-end automatic differentiation of the coronavirus disease 2019 (COVID-19) from viral pneumonia based on chest CT. [PDF]

Eur J Nucl Med Mol Imaging, 2020
Song J, Wang H, Liu Y, Wu W, Dai G, Wu Z, Zhu P, Zhang W, Yeom KW, Deng K.   +9 more
europepmc   +1 more source

Integration of Low‐Voltage Nanoscale MoS2 Memristors on CMOS Microchips

Advanced Functional Materials, EarlyView.
This article presents the first monolithic integration of nanoscale MoS2‐based memristors into the back‐end‐of‐line of foundry‐fabricated CMOS microchips in a one‐transistor‐one‐resistor (1T1R) architecture. The MoS2‐based 1T1R cells exhibit forming‐free, nonvolatile resistive switching with ultra‐low operating voltages, low cycle‐to‐cycle variability ...
Jimin Lee, Sofía Cruces, Xiaohua Liu, Yang Chen, Vasilis A. Maroufidis, Janghyun Jo, Lukas Völkel, Dennis Braun, Michael Möller, Leon Brackmann, Holger Kalisch, Michael Heuken, Andrei Vescan, Rafal E. Dunin‐Borkowski, Joachim Mayer, Stefan Wiefels, Max C. Lemme   +16 more
wiley   +1 more source

Automatic Differentiation for Explicitly Correlated MP2. [PDF]

J Chem Theory Comput
Mitchell EC, Turney JM, Schaefer HF.
europepmc   +1 more source