Results 41 to 50 of about 3,096,343 (252)

A high-precision interpretable framework for marine dissolved oxygen concentration inversion

open access: yesFrontiers in Marine Science
Variations in Marine Dissolved Oxygen Concentrations (MDOC) play a critical role in the study of marine ecosystems and global climate evolution. Although artificial intelligence methods, represented by deep learning, can enhance the precision of MDOC ...
Xin Li   +4 more
doaj   +1 more source

Neda Genova in conversation with Mijke van der Drift: a conversation on transfeminism as anti-colonial politics

open access: yes, 2020
For this piece we were provoked by an anti-trans moment that took place during the School of Politics and Critique in September 2020. Instead of engaging in a mere “rebuttal” of anti-trans discourse and its reductive, exclusionary claims, with this text ...
van der Drift, Mijke, Genova, Neda
core   +1 more source

GNUsmail: Open framework for on-line email classification [PDF]

open access: yes, 2011
Real-time classification of massive email data is a challenging task that presents its own particular difficulties. Since email data presents an important temporal component, several problems arise: emails arrive continuously, and the criteria used to ...
Morales-Bueno, Rafael   +4 more
core   +1 more source

Establishing an Apheresis Medicine Program in a Resource‐Constrained Setting: A 5‐Year Experience From Lagos, Nigeria

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Establishing a comprehensive apheresis medicine program in a resource‐constrained setting presents significant structural, financial, and logistical challenges. Despite the growing clinical importance of apheresis services globally, published experience from sub‐Saharan Africa remains sparse.
Folasade Adelekan‐Popoola   +4 more
wiley   +1 more source

Teaching old sensors New tricks: archetypes of intelligence

open access: yes, 2007
In this paper a generic intelligent sensor software architecture is described which builds upon the basic requirements of related industry standards (IEEE 1451 and SEVA BS- 7986). It incorporates specific functionalities such as real-time fault detection,
White, Neil M.   +3 more
core   +1 more source

Online Machine Learning for Intrusion Detection in Electric Vehicle Charging Systems

open access: yesMathematics
Electric vehicle (EV) charging systems are now integral to smart grids, increasing the need for robust and scalable cyberattack detection. This study presents an online intrusion detection system that leverages an Adaptive Random Forest classifier with ...
Fazliddin Makhmudov   +3 more
doaj   +1 more source

Stationary distributions for diffusions with inert drift [PDF]

open access: yes, 2010
Consider reflecting Brownian motion in a bounded domain in $${\mathbb R^d}$$ that acquires drift in proportion to the amount of local time spent on the boundary of the domain.
Hairer, Martin   +3 more
core   +1 more source

Comparative Evaluation of Hemodiafiltration, Hemoperfusion, and Standard Hemodialysis on Efficacy, Inflammatory Control, Dialysis Adequacy, and Safety in End‐Stage Renal Disease: A Prospective Observational Study

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo   +5 more
wiley   +1 more source

Forecasting the Dialysis Burden in Japan: Validation‐Based Projections of Prevalence and Incidence Through 2050

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Japan has one of the highest dialysis prevalence rates worldwide and a shrinking, aging population. Whether dialysis burden has entered a sustained post‐peak phase or whether recent declines partly reflect pandemic‐related disruptions remains uncertain.
Hatice Şahin   +2 more
wiley   +1 more source

Concept drift detection in district heating: A characterization framework and detector-centric benchmark

open access: yesEnergy and AI
Machine learning models for district heating load forecasting operate in non-stationary data stream environments where concept drift causes progressive performance deterioration.
Kai Derzsi   +2 more
doaj   +1 more source

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