Results 121 to 130 of about 6,528,891 (210)

Compact and bounded sets in intuitionistic fuzzy metric spaces

open access: yes, 2007
The purpose of this paper is to define q-bounded, semi-bounded, totally bounded, and unbounded sets in an intuitionistic fuzzy metric space X and study the relation between F-bounded sets and the above mentioned sets and prove that the statements (a) X ...
EFE, HAKAN, ALACA, CİHANGİR
core  

A Semi‐Automated Microfluidic Platform Employing Machine Learning Analysis to Study Adhesion Kinetics in Acute Myeloid Leukemia

open access: yesMicroscopy Research and Technique, EarlyView.
We have developed a semi‐automated shear flow platform using bright‐field optics and a machine‐learning analysis algorithm to dissect tumor‐microenvironment interactions. The algorithm quantifies the extent of adhesion at the single‐cell level and delivers consistent results within minutes instead of hours, facilitating high‐throughput analysis ...
Driti Ashok   +7 more
wiley   +1 more source

Low‐Field MRI for Knee Imaging: Current Insights and Evidence From a Systematic Review

open access: yesJournal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Low‐field magnetic resonance imaging (MRI) has regained interest for musculoskeletal imaging due to advances in magnet design, hardware optimization, and artificial intelligence (AI)–based reconstruction, offering improved accessibility, patient comfort, and sustainability.
Switinder Singh Ghotra   +3 more
wiley   +1 more source

An empirical three-dimensional metric field for color space. [PDF]

open access: yesJ Vis
Koenderink JJ   +3 more
europepmc   +1 more source

Unpacking Corporate Twin Transformation Through Configurational Analysis

open access: yesStrategic Change, EarlyView.
ABSTRACT This study focuses on the interplay of factors that influence the leveraging of effective corporate Twin Transformation (TT) which enables organizations to address burgeoning regulations, evolving customer needs, and rising awareness on sustainability.
Rutuja Lanjewar Haindl   +4 more
wiley   +1 more source

Explainable, Uncertainty‐Aware Machine Learning for Maize Land Suitability and Climate Resilience in Lorestan Province, Western Iran

open access: yesLand Degradation &Development, EarlyView.
ABSTRACT Maize (Zea mays L.) is strategically important in Iran, yet its cultivation in the semi‐arid Zagros is constrained by limited and variable water, heat stress and heterogeneous soils, while conventional suitability assessments are deterministic, rarely validated spatially and provide no measure of confidence.
Ahad Madani, Narges Shafaei Bajestani
wiley   +1 more source

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