Results 61 to 70 of about 4,047,749 (292)
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 +4 more
wiley +1 more source
Group Equivariant Convolutional Networks [PDF]
, 2016 We introduce Group equivariant Convolutional Neural Networks (G-CNNs), a natural generalization of convolutional neural networks that reduces sample complexity by exploiting symmetries.
Welling, M., Cohen, T.S.
core +3 more sources
Transform Domain Learning for Image Recognition
IEEE AccessImage and video classification are distinct tasks in computer vision. Three-dimensional convolutional neural networks (3D CNNs) are commonly employed for video classification, while two-dimensional convolutional neural networks (2D CNNs) are more ...
Dengtai Tan, Jinlong Zhao, Shichao Li
doaj +1 more source
Structural Compression of Convolutional Neural Networks with Applications in Interpretability
Frontiers in Big Data, 2021 Deep convolutional neural networks (CNNs) have been successful in many tasks in machine vision, however, millions of weights in the form of thousands of convolutional filters in CNNs make them difficult for human interpretation or understanding in ...
Reza Abbasi-Asl +4 more
doaj +1 more source
Ferroionic‐Assisted, Charge‐Driven Polymorphic Phase Engineering for Multilevel Memristive Devices
Advanced Materials, EarlyView.A CuInP2S6/Mo0.92W0.08Te2 heterostructure enables a gradual semiconductor‐to‐semimetal phase transition through Cu+ ion migration and charge accumulation. The spatially engineered 2H/1T′ mixed phases produce continuously tunable conductance states in a two‐terminal geometry, while suppressing depolarizing fields and stabilizing the metastable 1T′ phase.
Nayeon Kim +9 more
wiley +1 more source
Hands-On Fundamentals of 1D Convolutional Neural Networks—A Tutorial for Beginner Users
Applied SciencesIn recent years, deep learning (DL) has garnered significant attention for its successful applications across various domains in solving complex problems.
Ilaria Cacciari, Anedio Ranfagni
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Analysis of Deep Convolutional Neural Networks Using Tensor Kernels and Matrix-Based Entropy
Entropy, 2023 Analyzing deep neural networks (DNNs) via information plane (IP) theory has gained tremendous attention recently to gain insight into, among others, DNNs’ generalization ability.
Kristoffer K. Wickstrøm +5 more
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การวิเคราะห์การมีส่วนร่วมของนักเรียนในห้องเรียนออนไลน์ โดยใช้ Convolutional Neural Networks (CNN)
วารสารงานวิจัยและพัฒนาเชิงประยุกต์ โดยสมาคม ECTI, 2023 การระบาดของเชื้อไวรัสโคโรนา (COVID-19) ส่งผลกระทบในภาคการศึกษา เช่น การเรียนจาก ห้องเรียนปกติสู่ห้องเรียนออนไลน์ ทำให้การติดตามการมีส่วนร่วมในห้องเรียนออนไลน์เป็นไปด้วยความ ยากลำบาก นอกจากจะส่งผลต่อประสิทธิภาพของผู้เรียนแล้ว กรณีที่ร้ายแรงที่สุดที่อาจจะเกิดขึ้นคือการ หลุดจากการศึกษาของผู้เรียน เพื่อให้ผู้สอนได้ทราบถึงการมีส่วนร่วมของผู้เรียนและสามารถปรั
openaire +1 more source
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 +6 more
wiley +1 more source
Fixed point actions from convolutional neural networks [PDF]
Lattice gauge-equivariant convolutional neural networks (L-CNNs) can be used to form arbitrarily shaped Wilson loops and can approximate any gauge-covariant or gauge-invariant function on the lattice.
Holland, K. +3 more
core +2 more sources