Results 61 to 70 of about 93,854 (214)

Advances in Bio‐Integrated Edge Computing Systems for Smart and Connected Health

Advanced Materials, EarlyView.
This review explores advances in bio‐integrated edge computing for healthcare, focusing on co‐designing computing, sensing, and energy strategies to overcome integration and power challenges for optimized, decentralized operation. ABSTRACT Recent advances in bio‐integrated healthcare technologies have enabled continuous, high‐resolution monitoring and ...
Gyuwon Kim, Seungwon Yoo, Tae Woog Kang, Yunuo Huang, Woon‐Hong Yeo   +4 more
wiley   +1 more source

A Fully Convolutional Encoder–Decoder Spatial–Temporal Network for Real-Time Background Subtraction

IEEE Access, 2019
Background subtraction is described as the task of distinguishing pixels into moving objects and the background in a frame. In this paper, we propose a fully convolutional encoder-decoder spatial-temporal network (FCESNet) to achieve real-time background
Mingkai Qiu, Xiying Li
doaj   +1 more source

A Comparative Study of Five Networks for Reservoir Classification Based on Geophysical Logging Signals

IEEE Access, 2020
Unconventional reservoir classification suffers low accuracy because of the complex geophysical properties. With good performance and moderate cost, geophysical logging is considered to be of great potential as the compromise solution between seismic and
Kai Zhu, Yonghui Du, Qian Wang, Naihua Ji, Li Zhang   +4 more
doaj   +1 more source

Where Precursor Loading Stops Making a Difference: Resolving an Operational Infiltration Limit for Nanoparticle Synthesis Using Dual Quantification of Reverse Micelle Nanoreactors

Advanced Materials Interfaces, EarlyView.
A dual characterization strategy combining nanomechanical and mass measurements resolves a common operational loading threshold in reverse micelle nanoreactors. This transferable framework provides a rational strategy for optimizing precursor loading and nanoparticle synthesis, across template‐mediated fabrication systems.
Linan Cui, Pedro Q. Oliveira, Kyla N. Sask, Ayse Z. Turak   +3 more
wiley   +1 more source

Toward Perception‐Native Electronic Skin: Bio‐Inspired In‐/Near‐Sensor and Neuromorphic Computing for Humanoid Robots

Advanced Materials Technologies, EarlyView.
Dense tactile streams from across the humanoid body converge on collide in a central wiring and data bottleneck. By relocating computation closer to and then into the skin itself, near‐ and in‐sensor architectures, together with neuromorphic computing, chart a path toward perception‐native electronic skin, in which the conversion of stimulus into ...
Mijin Kim, Chang‐Jae Beak, Jiyoung Park, Youngdo Jung, Sunjong Oh, Sin‐Hyung Lee, Bo‐Yeon Lee   +6 more
wiley   +1 more source

Multidimensional Heat‐Path Engineering in Thermal Interface Materials for High‐Performance Electronics

Advanced Materials Technologies, EarlyView.
This review presents multidimensional heat‐path engineering for thermal interface materials, showing how internal heat transport, interfacial contact and bondline formation, and processing‐defined pathway architectures together determine bonded‐joint thermal performance.
Jinsoo Na, Jaeho Seo, Sungwoo Yang, Wonjin Lee, James Sangmin Choo, Sangjae Kim, Sanghyun Park, Juhyuk Park   +7 more
wiley   +1 more source

Improving the Seismic Impedance Inversion by Fully Convolutional Neural Network

Journal of Marine Science and Engineering
Applying deep neural networks (DNNs) to broadband seismic wave impedance inversion is challenging, especially in generalizing from synthetic to field data, which limits the exploitation of their nonlinear mapping capabilities. While many research studies
Liurong Tao, Zhiwei Gu, Haoran Ren
doaj   +1 more source

Customizable Piezo‐Transmittance‐Based Multiaxial Force Sensor With Deep‐Learning‐Assisted Sensing

Advanced Materials Technologies, EarlyView.
Development of a soft tri‐axis piezo‐transmittance sensor with integrated LEDs and photodiodes enables multidirectional force sensing through deformation‐induced optical modulation. A tailored 1D convolutional neural network provides real‐time force direction and intensity prediction, achieving 99.6% classification accuracy and a mean squared error of ...
Filippo Peruzzi, Osman Gul, Wonhee Lee, Seokjoo Cho, Yong‐Jin Yoon, Paola Saccomandi, Inkyu Park   +6 more
wiley   +1 more source

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

Advanced Robotics Research, EarlyView.
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley   +1 more source

Improving the Robustness of Visual Teach‐and‐Repeat Navigation Using Drift Error Correction and Event‐Based Vision for Low‐Light Environments

Advanced Robotics Research, EarlyView.
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley   +1 more source