Results 41 to 50 of about 6,790,954 (296)

IDS-attention: an efficient algorithm for intrusion detection systems using attention mechanism

Journal of Big Data, 2021
Network attacks are illegal activities on digital resources within an organizational network with the express intention of compromising systems. A cyber attack can be directed by individuals, communities, states or even from an anonymous source.
FatimaEzzahra Laghrissi, Samira Douzi, Khadija Douzi, Badr Hssina   +3 more
doaj   +1 more source

Collaborative Fusion Attention Mechanism for Vehicle Fault Prediction

Future Internet
In this study, we investigate a deep learning-based vehicle fault prediction model aimed at achieving accurate prediction of vehicle faults by analyzing the correlations among different faults and the impact of critical faults on future fault development.
Hong Jia, Dalin Qian, Fanghua Chen, Wei Zhou   +3 more
doaj   +1 more source

Research on detection method of unsound brewing sorghum kernel based on deep learning [PDF]

Zhongguo niangzao
In order to overcome the problems of low efficiency, low accuracy and poor repeatability existing in the quality detection of unsound sorghum kernel in the brewing industry, a novel method based on deep learning for unsound sorghum kernel determination ...
WANG Lin, CHU Yihong, OU Jinhua, YIN Guanjun, JIANG Yuanhong, CHEN Bo, SHEN Chuan, LI Yongmeng
doaj   +1 more source

Market-based Recommendation: Agents that Compete for Consumer Attention

, 2004
The amount of attention space available for recommending suppliers to consumers on e-commerce sites is typically limited. We present a competitive distributed recommendation mechanism based on adaptive software agents for efficiently allocating the ...
Gerding, E. H., Gerding, E.H., Poutré, la, J.A., La Poutre, J. A., Bohté, S.M., Bohte, S. M.   +5 more
core   +2 more sources

Sparse and Continuous Attention Mechanisms

CoRR, 2020
Exponential families are widely used in machine learning; they include many distributions in continuous and discrete domains (e.g., Gaussian, Dirichlet, Poisson, and categorical distributions via the softmax transformation). Distributions in each of these families have fixed support. In contrast, for finite domains, there has been recent work on sparse
Martins, A., Farinhas, A., Treviso, M., Niculae, V., Aguiar, P., Figueiredo, M.   +5 more
openaire   +4 more sources

Attentional Colorization Networks with Adaptive Group-Instance Normalization

Information, 2020
We propose a novel end-to-end image colorization framework which integrates attention mechanism and a learnable adaptive normalization function. In contrast to previous colorization methods that directly generate the whole image, we believe that the ...
Yuzhen Gao, Youdong Ding, Fei Wang, Huan Liang   +3 more
doaj   +1 more source

Safety and Effectiveness of a High‐Dose, Tailored Tissue Plasminogen Activator Therapy Protocol: A Joint Pediatric Hematology and Cardiac ICU Quality Improvement Initiative Analysis

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Pediatric thromboembolism is increasingly encountered in critical care. Systemic thrombolysis with tissue plasminogen activator (tPA) facilitates vessel or valve patency, yet pediatric‐specific protocols remain undefined, and safety concerns persist. Objective To evaluate the efficacy and safety of a tailored, prolonged systemic tPA
Eran Shostak, Oded Gilad, Yael Feinstein, Sigal Nakav, Ofer Schiller, Joanne Yacobovich   +5 more
wiley   +1 more source

A power equipment monitoring system based on SE-Attention image recognition model

Xi'an Gongcheng Daxue xuebao, 2021
The current power equipment monitoring is mainly based on the traditional classical neural network automatic monitoring mode, which has such problems as low accuracy and difficulty to dig out the deep information of the image, a power equipment ...
Qiyuan HE, Detai PAN, Guiliang LI, Qing LIN, Yunzhou DONG, Xiaomin LI, Zhenyu GAO   +6 more
doaj   +1 more source

A Situational Assessment of the Diagnostic Landscape and Organizational Readiness to Implement Next‐Generation Sequencing at Two Childhood Cancer Treatment Centers in Ghana

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Next‐generation sequencing (NGS) has emerged as a promising approach to improve diagnostic accuracy, but its feasibility in low‐ and middle‐income countries remains unknown. This study characterized the diagnostic landscape and assessed organizational readiness for NGS implementation at two childhood cancer treatment centers in Accra ...
Melissa Carvalho, Emmanuella Amoako, Nihad Salifu, Lily Gloria Tagoe, Yaw Bediako, Michelle Hermiston, Catherine Segbefia   +6 more
wiley   +1 more source

Beyond the Document: A Single‐Center Qualitative Study of Survivorship Care Plan Barriers and Opportunities Across Pediatric Oncology Stakeholders

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Survivorship care plans (SCPs) summarize cancer treatment and guide risk‐based follow‐up for cancer survivors, yet remain difficult to create, share, and use. Stakeholder perspectives are needed to inform usable approaches.
Molly S. Talman, Emma Fleisher, Megan E. Salwei, Debra Friedman, Laurie Novak   +4 more
wiley   +1 more source