Results 211 to 220 of about 304,469 (259)

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

A novel signal channel attention network for multi-modal emotion recognition. [PDF]

Front Neurorobot
Du Z, Ye X, Zhao P.
europepmc   +1 more source

Single-channel attention classification algorithm based on robust Kalman filtering and norm-constrained ELM. [PDF]

Front Hum Neurosci
He J, Huang Z, Li Y, Shi J, Chen Y, Jiang C, Feng J.   +6 more
europepmc   +1 more source

Dense-Fusion2Net a more efficient and lightweight short speech speaker recognition system with time-frequency channel attention. [PDF]

Sci Rep
Deng F, Huang R, Jiang P, Yu L, Deng L.
europepmc   +1 more source

An interpretable framework for gastric cancer classification using multi-channel attention mechanisms and transfer learning approach on histopathology images. [PDF]

Sci Rep
Zubair M, Owais M, Hassan T, Bendechache M, Hussain M, Hussain I, Werghi N.   +6 more
europepmc   +1 more source

Multi-scale channel attention U-Net: a novel framework for automated gallbladder segmentation in medical imaging. [PDF]

Front Oncol
Zhou Y, Wen X, Fu K, Li M, Sun L, Hu X.
europepmc   +1 more source

Res-ECA-UNet++: an automatic segmentation model for ovarian tumor ultrasound images based on residual networks and channel attention mechanism. [PDF]

Front Med (Lausanne)
Wei S, Hu Z, Tan L.
europepmc   +1 more source

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Mixed local channel attention for object detection

Engineering Applications of Artificial Intelligence, 2023
Xianli Lang, Rongsheng Lu, Dahang Wan
exaly   +2 more sources

Channelized Axial Attention – considering Channel Relation within Spatial Attention for Semantic Segmentation

Proceedings of the AAAI Conference on Artificial Intelligence, 2022
Spatial and channel attentions, modelling the semantic interdependencies in spatial and channel dimensions respectively, have recently been widely used for semantic segmentation. However, computing spatial and channel attentions separately sometimes causes errors, especially for those difficult cases.
Ye Huang, Di Kang, Wenjing Jia, Liu Liu 0014, Xiangjian He   +4 more
openaire   +1 more source

Channel-Wise Attention and Channel Combination for Knowledge Distillation

Proceedings of the International Conference on Research in Adaptive and Convergent Systems, 2020
Knowledge distillation is a strategy to build machine learning models efficiently by making use of knowledge embedded in a pretrained model. Teacher-student framework is a well-known one to use knowledge distillation, where a teacher network usually contains knowledge for a specific task and a student network is constructed in a simpler architecture ...
Chan Sik Han, Keon Myung Lee
openaire   +1 more source