Results 101 to 110 of about 33,561,195 (290)
Polymer Substrates for Flexible Sensors: Advances and Contributions to Smart Agriculture
Advanced Functional Materials, EarlyView.This review comprehensively summarizes recent advances in polymer‐based flexible sensors for smart agriculture, focusing on polymer substrate design, interface engineering, and applications in soil, plant, animal, aquaculture, and post‐harvest monitoring.
Yihui Li +12 more
wiley +1 more source
Memristive‐Gated RC‐Delay Synaptic Transistors for Time‐Encoded Analog in‐Memory Computing
Advanced Functional Materials, EarlyView.A Memristive‐Gated Transistor for Time‐Encoded Analog In‐Memory Computing — By exploiting the RC delay of a self‐rectifying interface‐type memristor, nonlinear I–V distortion is structurally bypassed, enabling 3‐bit nonvolatile memory, spike‐timing‐based analog encoding, and hardware‐calibrated reservoir‐computing validation within a unified device ...
Yun‐Seo Shin +7 more
wiley +1 more source
Advanced Healthcare Materials, EarlyView.Micro‐ and nano‐patterned elastin‐like recombinamer (ELR) hydrogels integrate bioactive matrix chemistry with defined surface topography. The combined cues promote rapid endothelial cell capture, alignment, and monolayer formation on soft substrates.
Jagoda Litowczenko +8 more
wiley +1 more source
UFKLDA: An unsupervised feature extraction algorithm for anomaly detection under cloud environment
ETRI Journal, 2019 In a cloud environment, performance degradation, or even downtime, of virtual machines (VMs) usually appears gradually along with anomalous states of VMs. To better characterize the state of a VM, all possible performance metrics are collected.
GuiPing Wang, JianXi Yang, Ren Li
doaj +1 more source
Frontiers in Neuroscience, 2017 We introduce Enhanced Kernel-based Relevance Analysis (EKRA) that aims to support the automatic identification of brain activity patterns using electroencephalographic recordings.
Andres M. Alvarez-Meza +2 more
doaj +1 more source
Advanced Materials, EarlyView.AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll +19 more
wiley +1 more source
HYPR4D kernel method on TOF PET data with validations including image-derived input function. [PDF]
EJNMMI Phys, 2022 Cheng JK, Bevington CWJ, Sossi V.
europepmc +1 more source
Exploring Kernel Machines and Support Vector Machines: Principles, Techniques, and Future Directions
MathematicsThe kernel method is a tool that converts data to a kernel space where operation can be performed. When converted to a high-dimensional feature space by using kernel functions, the data samples are more likely to be linearly separable.
Ke-Lin Du +4 more
semanticscholar +1 more source