Results 221 to 230 of about 404,854 (339)

Human papillomavirus (HPV) prediction for oropharyngeal cancer based on CT by using off‐the‐shelf features: A dual‐dataset study

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background This study aims to develop a novel predictive model for determining human papillomavirus (HPV) presence in oropharyngeal cancer using computed tomography (CT). Current image‐based HPV prediction methods are hindered by high computational demands or suboptimal performance.
Junhua Chen, Yanyan Cheng, Lijun Chen, Banghua Yang   +3 more
wiley   +1 more source

An Explainable LSTM-Based Intrusion Detection System Optimized by Firefly Algorithm for IoT Networks. [PDF]

Sensors (Basel)
Ogunseyi TB, Thiyagarajan G.
europepmc   +1 more source

Effects of simultaneous multislice acceleration on the stability of radiomics features in parametric maps of IVIM and DKI in uterine cervical cancer

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose The aim of this study was to investigate the influence of the simultaneous multislice acceleration (SMS) technique as well as two‐dimensional (2D) and three‐dimensional (3D) tumor segmentations on radiomics features (RFs) within the parametric maps of cervical cancer, which were computed by intravoxel incoherent motion (IVIM) and ...
Shuangquan Ai, Wei Peng, Rong Hou, Huiting Zhang, Robert Grimm, Zilong Yuan, Yulin Liu   +6 more
wiley   +1 more source

African buffalo optimization with deep learning-based intrusion detection in cyber-physical systems. [PDF]

Sci Rep
Laxmi Lydia E, Ramesh SNSVSC, Denisovich V, Moses GJ, Cho S, Acharya S, Yoon C.   +6 more
europepmc   +1 more source

A neural convolutional network intrusion detection model based on autoencoder dimension reduction

Dianxin kexue
In order to improve the accuracy of intrusion detection, considering the advantages of autoencoders in learning features and the mature application of residual networks in constructing deep models, an improved residual network intrusion detection model ...
SUN Jing, DING Jiawei, FENG Guanghui
doaj  

Design and implementation of autonomous software agents for intrusion detection

, 2002
Yanxin Wang
openalex   +2 more sources

Intrusion Detection Based on Feature Transform Using Neural Network [PDF]

, 2004
Won‐Il Kim, Sechang Oh, Kyoungro Yoon
openalex   +1 more source

Novel CT radiomics models for the postoperative prediction of early recurrence of resectable pancreatic adenocarcinoma: A single‐center retrospective study in China

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose To assess the predictive capability of CT radiomics features for early recurrence (ER) of pancreatic ductal adenocarcinoma (PDAC). Methods Postoperative PDAC patients were retrospectively selected, all of whom had undergone preoperative CT imaging and surgery. Both patients with resectable or borderline‐resectable pancreatic cancer met
Xinze Du, Yongsu Ma, Kexin Wang, Xiejian Zhong, Jianxin Wang, Xiaodong Tian, Xiaoying Wang, Yinmo Yang   +7 more
wiley   +1 more source

Research on Network Intrusion Detection Model Based on Hybrid Sampling and Deep Learning. [PDF]

Sensors (Basel)
Guo D, Xie Y.
europepmc   +1 more source

A Novel Intrusion Detection Method [PDF]

, 2004
ShengYi Jiang, Qinghua Li, Hui Wang
openalex   +1 more source