Results 71 to 80 of about 5,104 (219)

Advances in 4D Representation: Geometry, Motion, and Interaction

open access: yesComputer Graphics Forum, EarlyView.
We survey 4D representation through three key pillars — geometry, motion, and interaction — offering a selective, representation‐centric perspective to guide researchers in choosing and customizing the right 4D representation for their tasks. Abstract We present a survey on 4D generation and reconstruction, a fast‐evolving subfield of computer graphics
M. Zhao   +7 more
wiley   +1 more source

Efficient and Accurate Hausdorff Distance Computation Based on Diffusion Search

open access: yesIEEE Access, 2018
The Hausdorff distance (HD) between two point sets is widely used in similarity measures, but the high computational cost of HD algorithms restrict their practical use.
Dejun Zhang   +3 more
doaj   +1 more source

Deep Learning for Assessing Caries Depth in Permanent Teeth Using Intraoral Radiographs: A Systematic Review

open access: yesInternational Endodontic Journal, EarlyView.
ABSTRACT Background Accurate assessment of caries depth on intraoral radiographs is crucial for determining the extent of the lesion and planning appropriate treatment. Artificial intelligence (AI) models have been increasingly used for detecting and classifying carious lesions; however, the evidence focusing specifically on the classification of ...
Laith Abu Qdais   +5 more
wiley   +1 more source

Deep learning assisted high‐resolution microscopy image processing for phase segmentation in functional composite materials

open access: yesJournal of Microscopy, EarlyView.
Abstract In the domain of battery research, the processing of high‐resolution microscopy images is a challenging task, as it involves dealing with complex images and requires a prior understanding of the components involved. The utilisation of deep learning methodologies for image analysis has attracted considerable interest in recent years, with ...
Ganesh Raghavendran   +7 more
wiley   +1 more source

Distance and Similarity Measures for T-Spherical Fuzzy Sets Based on Hausdorff Distance With Applications in Pattern Recognition and Medical Diagnosis

open access: yesIEEE Access
In this paper, we introduce a novel approach for computing the Hausdorff distance on T-spherical fuzzy sets (TSFSs) and subsequently formulate some powerful similarity measures (SMs) for these sets.
Miin-Shen Yang, Mehboob Ali
doaj   +1 more source

Bowen Lemma in the Countable Symbolic Space

open access: yesEntropy, 2017
We consider the sets of quasi-regular points in the countable symbolic space. We measure the sizes of the sets by Billingsley-Hausdorff dimension defined by Gibbs measures.
Mingtian Li, Jihua Ma
doaj   +1 more source

Measurable envelopes, Hausdorff measures and Sierpiński sets [PDF]

open access: yesColloquium Mathematicum, 2003
We show that the existence of measurable envelopes of all subsets of $\RR^n$ with respect to the $d$-dimensional Hausdorff measure ...
openaire   +3 more sources

Can Deep Learning Methods Differentiate Temporomandibular Joint Disorders From Healthy Joints? A 3D Artificial Intelligence Algorithm Study Based on CBCT Images

open access: yesJournal of Oral Rehabilitation, EarlyView.
In this study, an integrated deep learning approach was developed for the evaluation of temporomandibular joint disorders using multicentre CBCT images. The mandibular condyle was first automatically segmented using the nnU‐Net v2 architecture. Subsequently, 3D‐CNN algorithms classified the condyles as healthy or unhealthy and further distinguished ...
İbrahim Şevki Bayrakdar   +5 more
wiley   +1 more source

Generalized quasi-Banach sequence spaces and measures of noncompactness

open access: yesAnais da Academia Brasileira de Ciências, 2013
Given 0 < s ≤ 1 and ψ an s-convex function, s – ψ -sequence spaces are introduced. Several quasi-Banach sequence spaces are thus characterized as a particular case of s – ψ -spaces.
EDUARDO B. SILVA   +2 more
doaj   +1 more source

Artificial Intelligence in Orthodontics: Part 2—Data Preparation and Performance Evaluation

open access: yesOrthodontics &Craniofacial Research, EarlyView.
ABSTRACT Artificial intelligence (AI) is increasingly integrated into orthodontic research and clinical workflows. Yet, the reliability and clinical value of these systems depend fundamentally on the quality of the data used to train them and the rigour with which their performance is evaluated.
Khuram Naveed   +5 more
wiley   +1 more source

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