Results 201 to 210 of about 217,546 (313)

Voltage‐Summation‐Based Compute‐in‐Memory Technology with Capacitive Synaptic Devices

open access: yesAdvanced Intelligent Systems, EarlyView.
Compute‐in‐memory (CIM) technologies leveraging capacitive coupling offer significant advantages in energy efficiency and IR‐drop elimination. This work introduces voltage‐summation‐based CIM technology, employing capacitive synaptic devices for matrix–vector multiplication.
Jung Nam Kim   +8 more
wiley   +1 more source

Squeeze and multi‐context attention for polyp segmentation

open access: yesInternational Journal of Imaging Systems and Technology, Volume 33, Issue 1, Page 123-142, January 2023., 2023
Abstract Artificial Intelligence‐based Computer Aided Diagnostics (AI‐CADx) have been proposed to help physicians in reducing misdetection of polyps in colonoscopy examination. The heterogeneity of a polyp's appearance makes detection challenging for physicians and AI‐CADx.
Debayan Bhattacharya   +3 more
wiley   +1 more source

A degressive quantum convolutional neural network for quantum state classification and code recognition

open access: yesiScience
Summary: With the rapid development of quantum computing, a variety of quantum convolutional neural networks (QCNNs) are proposed. However, only 1/2n2 features of an n-qubits input are transferred to the next layer in a quantum pooling layer, which ...
Qingshan Wu   +5 more
doaj  

A Robotic Prosthetic Hand for Computer Mouse Operations

open access: yesAdvanced Intelligent Systems, EarlyView.
A soft prosthetic hand for computer mouse operations is introduced to assist users in completing diverse cursor control tasks. The designs of the hardware and software components are presented separately, followed by a user study conducted to assess the feasibility and acceptance of this system.
Ziming Chen   +6 more
wiley   +1 more source

Machine learning of endoscopy images to identify, classify, and segment sinonasal masses

open access: yesInternational Forum of Allergy &Rhinology, EarlyView.
ABSTRACT Background We developed and assessed the performance of a machine learning model (MLM) to identify, classify, and segment sinonasal masses based on endoscopic appearance. Methods A convolutional neural network‐based model was constructed from nasal endoscopy images from patients evaluated at an otolaryngology center between 2013 and 2024 ...
Lirit Levi   +10 more
wiley   +1 more source

Explainable machine learning in cybersecurity: A survey

open access: yesInternational Journal of Intelligent Systems, Volume 37, Issue 12, Page 12305-12334, December 2022., 2022
Abstract Machine learning (ML) techniques are increasingly important in cybersecurity, as they can quickly analyse and identify different types of threats from millions of events. In spite of the increasing number of possible applications of ML, successful adoption of ML models in cybersecurity still highly relies on the explainability of those models ...
Feixue Yan   +4 more
wiley   +1 more source

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