Results 11 to 20 of about 6,479 (185)
IET Networks, EarlyView., 2022 Abstract Everything can be connected in the Internet of Things (IoTs) technology that enables efficient communication between connected objects. IoTs industry‐based meta‐heuristic and mining algorithms, which are considered an important field of Artificial Intelligence will be used to construct a healthcare application in this study for lowering costs,
Muhaned Al‐Hashimi +4 more
wiley +1 more source
Image Fusion for Super-Resolution Mass Spectrometry Imaging of Plant Tissue. [PDF]
Adv Sci (Weinh)A loss controlled residual network (LCRN) workflow is developed for super‐resolution fusion of plant mass spectrometry imaging data. LCRN uses a novel edge perceptual loss metric to preserve complex plant tissue morphology. LCRN achieves up to 20‐fold magnification while effectively combining chemical information from mass spectrometry with ...
Zou Y, Sun S, Tang W, Li B.
europepmc +2 more sources
Periodontology 2000, EarlyView., 2023 Abstract In this descriptive analysis of the 21‐year follow‐up data from the SHIP‐START cohort and the 7‐year follow‐up data from the SHIP‐TREND cohort, we report the progression of clinical attachment levels (CAL), age effects on CAL change, and a detailed description of CAL progression and remission. At baseline, 4307 and 4420 persons participated in
Thomas Kocher +4 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
, 2017 Contains fulltext : 190586.pdf (publisher's version ) (Open Access)20 ...
Devos, Isabelle, Janssens, Angélique
core +3 more sources
Advanced Intelligent Discovery, EarlyView.Automated procedural analysis is recognized as one of the major game changers for robotic surgery. Meaning digital analysis needs to replace the manual assessments that set todays standard. Mechanical robotic‐instrument tracking enables the derivation of quantitative kinematic metrics that support behavior‐based workflow segmentation into distinct ...
Kateryna Pirkovets +4 more
wiley +1 more source
FSL-BM: Fuzzy Supervised Learning with Binary Meta-Feature for Classification
, 2017 This paper introduces a novel real-time Fuzzy Supervised Learning with Binary Meta-Feature (FSL-BM) for big data classification task. The study of real-time algorithms addresses several major concerns, which are namely: accuracy, memory consumption, and ...
CP Chen +15 more
core +1 more source
Fast Color Quantization Using Weighted Sort-Means Clustering [PDF]
, 2009 Color quantization is an important operation with numerous applications in graphics and image processing. Most quantization methods are essentially based on data clustering algorithms.
Balasubramanian +34 more
core +1 more source
Archaeological Prospection, EarlyView.ABSTRACT This study presents a strong framework for the detection and classification of Submerged Cultural Heritage Assets (SCHA) in shallow marine environments using the integration of multibeam echosounder and airborne LiDAR bathymetry with object‐based image analysis and fuzzy logic–based classification.
Łukasz Janowski +4 more
wiley +1 more source
Distribution functions of linear combinations of lattice polynomials from the uniform distribution [PDF]
, 2007 We give the distribution functions, the expected values, and the moments of linear combinations of lattice polynomials from the uniform distribution. Linear combinations of lattice polynomials, which include weighted sums, linear combinations of order ...
Kojadinovic, Ivan, Marichal, Jean-Luc
core +3 more sources