Results 161 to 170 of about 178,776 (288)

Modelling of hybrid deep learning framework with recursive feature elimination for distributed denial of service attack detection systems. [PDF]

Sci Rep
Alkhliwi S.
europepmc   +1 more source

AN ENHANCED OPTIMIZATION MODEL WITH ENSEMBLE AUTOENCODER FOR ZERO-DAY ATTACK DETECTION

, 2022
Abhijit Das, Pramod, S. PRAVEEN KUMAR
openalex   +1 more source

Fluid and Neuroimaging Biomarkers in Microgliopathy Colony‐Stimulating Factor‐1 Receptor‐Related Disorders

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective This study aims to identify both fluid and neuroimaging biomarkers for CSF1R‐RD that can inform the optimal timing of treatment administration to maximize therapeutic benefit, while also providing sensitive quantitative measurements to monitor disease progression.
Tomasz Chmiela, Madison Reeves, Karen Jansen‐West, Judith Dunmore, Yuping Song, Audrey Strongosky, Sunil Gandhi, Gilana Pikover, Matt Blurton‐Jones, Robert C. Spitale, Erik H. Middlebrooks, Leonard Petrucelli, Mercedes Prudencio, Zbigniew K. Wszolek   +13 more
wiley   +1 more source

IM-ZDD: A Feature-Enhanced Inverse Mapping Framework for Zero-Day Attack Detection in Internet of Vehicles. [PDF]

Sensors (Basel)
Chen T, Zhang G, Xu B.
europepmc   +1 more source

Masquerading Attacks Detection in Mobile Ad Hoc Networks

, 2018
Sohail Abbas, Mohammad Faisal, Haseeb Ur Rahman, Muhammad Zahid Khan, Madjid Merabti, Atta ur Rehman Khan   +5 more
openalex   +1 more source

The Case of a 28‐Year‐Old Woman With Medically Refractory Focal Epilepsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT We present the case of a 28‐year‐old right‐handed woman with medically refractory focal epilepsy. Her seizure semiology and electroencephalography (EEG) indicated a seizure onset zone in the right central‐parietal area. However, both MRI and PET scans were unremarkable, showing no focal lesions or areas of altered metabolism.
Rishi Sharma, Ilo Leppik, Thomas Henry, Thaddeus Walczak, Sima Patel, Robert McGovern   +5 more
wiley   +1 more source

Lightweight machine learning framework for efficient DDoS attack detection in IoT networks. [PDF]

Sci Rep
Nawaz M, Tahira S, Shah D, Ali S, Tahir M.   +4 more
europepmc   +1 more source

Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation

, 2021
Victor Besnier, Andrei Bursuc, David Picard, Alexandre Briot   +3 more
openalex   +1 more source

Biometric Presentation Attack Detection

American Journal of Computing and Engineering
Abstract   Purpose: Biometric systems play a crucial role in authentication and identification processes but are vulnerable to various attacks that compromise their security and reliability. Detecting such attacks is critical to ensuring the integrity of these systems and maintaining user trust.
openaire   +1 more source

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein, Haoqi Sun, Sophie Lehnerer, Lea Gerischer, Maximilian Mönch, Christian Meisel, Andreas Meisel, Pushpa Narayanaswami   +7 more
wiley   +1 more source