Results 81 to 90 of about 1,662,564 (322)
A multi-source threat intelligence confidence value evaluation method based on machine learning
During the collection process of multi-source threat intelligence,it is very hard for the intelligence center to make a scientific decision to massive intelligence because the data value density is low,the intelligence repeatabil-ity is high,and the ...
Hansheng LIU +5 more
doaj +2 more sources
The current debate over U.S. intelligence is missing the larger problem, the intelligence community’s inability to think big [PDF]
Since the end of the cold war, the U.S. intelligence community has been confronted by an increasingly complex and interconnected international system.
Kerbel, Josh
core
Higher Amyloid and Tau Burden Is Associated With Faster Decline on a Digital Cognitive Test
ABSTRACT Objective A 2‐min digital clock‐drawing test (DCTclock) captures more granular features of the clock‐drawing process than the pencil‐and‐paper clock‐drawing test, revealing more subtle deficits at the preclinical stage of Alzheimer's disease (AD). A previous cross‐sectional study demonstrated that worse DCTclock performance was associated with
Jessie Fanglu Fu +16 more
wiley +1 more source
Açık Kaynak İstihbaratı Üzerinden Siber Saldırı Tespiti Yöntemleri
Son yıllarda siber suçun gittikçe büyüyen etkisi, siber tehditlerin üstesinden gelmek için dünya çapında istihbaratve kanun uygulayıcı kurumlar ortaya çıkartmıştır.
Ali Eksim, Mustafa Kara
doaj +1 more source
— The application of technology in various fields makes mobility even higher, one of them is by making a website for exchange and manage information. However, with information disclosure causing security and protection issues to be considered. One of the
Putu Agus +3 more
semanticscholar +1 more source
Lessons Learned: Quality Analysis of Optical Coherence Tomography in Neuromyelitis Optica
ABSTRACT Introduction Optical coherence tomography (OCT)‐derived retina measurements are markers for neuroaxonal visual pathway status. High‐quality OCT scans are essential for reliable measurements, but their acquisition is particularly challenging in eyes with severe visual impairment, as often observed in neuromyelitis optica spectrum disorders ...
Hadi Salih +40 more
wiley +1 more source
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah +7 more
wiley +1 more source
Developing a comprehensive framework for multimodal feature extraction
Feature extraction is a critical component of many applied data science workflows. In recent years, rapid advances in artificial intelligence and machine learning have led to an explosion of feature extraction tools and services that allow data ...
de la Vega, Alejandro +2 more
core +1 more source
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 +7 more
wiley +1 more source
ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu +11 more
wiley +1 more source

