Results 31 to 40 of about 19,399,754 (289)

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen   +23 more
wiley   +1 more source

An immunological approach to intrusion detection [PDF]

open access: yes, 2000
This paper presents an examination of intrusion detection schemes. It discusses traditional views of intrusion detection, and examines the more novel, but perhaps more effective, approach to intrusion detection as modeled on the human immune system ...
Watkins, A., Andrew Watkins
core  

Research on a PSO-H-SVM-Based Intrusion Detection Method for Industrial Robotic Arms

open access: yesApplied Sciences, 2022
The automation and intelligence of industrial manufacturing is the core of the fourth industrial revolution, and robotic arms and proprietary networked information systems are an integral part of this vision.
Yulin Zhou, Lun Xie, Hang Pan
doaj   +1 more source

Solid Pseudopapillary Neoplasm of the Pancreas in Children and Adolescents: Expert Recommendations

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Solid pseudopapillary neoplasm of the pancreas (SPN) is a rare low‐grade malignant exocrine pancreatic tumor, mostly discovered during the second decade of life in females, with a very good prognosis, provided microscopically complete surgical excision is achieved.
Sabine Irtan   +18 more
wiley   +1 more source

Intrusion Detection System - MDL driven

open access: yes, 2020
Intrusion Detection System - MDL driven R and Python ...
Serinelli, Benedetto Marco
core   +1 more source

Computer network big data detection based on internet of things technology

open access: yesMeasurement: Sensors
In order to solve the problems of traditional network security intrusion detection system in detection accuracy and missed detection rate, this paper proposes a computer network data detection based on Internet of things technology. This paper designs an
Fuhua Huo
doaj   +1 more source

A Q-Learning-Based Two-Layer Cooperative Intrusion Detection for Internet of Drones System

open access: yesDrones, 2023
The integration of unmanned aerial vehicles (UAVs) and the Internet of Things (IoT) has opened up new possibilities in various industries. However, with the increasing number of Internet of Drones (IoD) networks, the risk of network attacks is also ...
Moran Wu   +5 more
doaj   +1 more source

Global Efforts to Reduce Paediatric Cancer Care Disparities in Radiotherapy: A Decade Change

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background We present an update on the status, needs and challenges faced by paediatric imaging and radiotherapy (RT) programmes globally after a previous survey conducted by the International Atomic Energy Agency (IAEA) 10 years prior. Methods We developed and distributed a 121‐question survey to radiation oncologists, medical physicists and ...
Raymond B. Mailhot Vega   +10 more
wiley   +1 more source

Intrusion detection and management over the world wide web [PDF]

open access: yes, 2010
As the Internet and society become ever more integrated so the number of Internet users continues to grow. Today there are 1.6 billion Internet users. They use its services to work from home, shop for gifts, socialise with friends, research the family ...
Luan, Hai Ying, Hai Ying Luan
core   +2 more sources

Deep Stacking Network for Intrusion Detection

open access: yesSensors, 2021
Preventing network intrusion is the essential requirement of network security. In recent years, people have conducted a lot of research on network intrusion detection systems.
Yifan Tang, Lize Gu, Leiting Wang
doaj   +1 more source

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