Results 181 to 190 of about 16,826 (269)

Affinification: A Fine Approximation of Deformations

Computer Graphics Forum, EarlyView.
Abstract We introduce affinification, a novel method for accelerating physics‐based animation of elastic solids. During a time‐dependent simulation, our method automatically partitions the space into affine and elastic regions depending on the deformation.
A. Mercier‐Aubin, T. Schneider, P.G. Kry, S. Andrews   +3 more
wiley   +1 more source

PruDensNet: a parameter efficient depthwise separable CNN for MRI-based brain tumor classification. [PDF]

Front Med (Lausanne)
Arman M, Samin A, Islam AKMM, Arnob MMR, Islam MJ, Mamoon IA.   +5 more
europepmc   +1 more source

Generative Cutout Animation

Computer Graphics Forum, EarlyView.
Abstract Cutout animation is one of the earliest forms of animation, and to this day remains a popular technique featured in numerous films including Monty Python and South Park series. Most computer animation systems, however, focus on different styles, including cel animation, making cutout animation somewhat underexplored.
Ivan Puhachov, Noam Aigerman, Thibault Groueix, Mikhail Bessmeltsev   +3 more
wiley   +1 more source

PalmNeXt: a ConvNeXt-based deep learning model for pest detection in date palm leaves. [PDF]

Front Plant Sci
Ashraf M, Aslam MZ, Saeed N, Hussain SJ.
europepmc   +1 more source

Class Angular Distortion Index for Dimensionality Reduction

Computer Graphics Forum, EarlyView.
Abstract Dimensionality reduction (DR) techniques are often characterized by whether they preserve global, high‐level structures in the data or local, neighborhood structures. This distinction matters in visualization: global methods can obscure clusters while local methods can over‐emphasize them.
Kaviru Gunaratne, Stephen Kobourov, Jacob Miller   +2 more
wiley   +1 more source

Ensemble deep learning approach for traffic video analytics in edge computing. [PDF]

Sci Rep
Sathyamoorthy M, Rajasekar V, Krishnamoorthi S, Pamucar D.   +3 more
europepmc   +1 more source

Textile and colour defect detection using deep learning methods

Coloration Technology, EarlyView.
Abstract Recent advances in deep learning (DL) have significantly enhanced the detection of textile and colour defects. This review focuses specifically on the application of DL‐based methods for defect detection in textile and coloration processes, with an emphasis on object detection and related computer vision (CV) tasks.
Hao Cui, Abdel‐Fattah Seyam, Renzo Shamey   +2 more
wiley   +1 more source

FedMal-XAI: an explainable federated vision transformer leveraging knowledge distillation for privacy-preserving malaria detection. [PDF]

Front Public Health
Bhuiyan TA, Rahman A, Khan FI, Noori FM, Masum AKM.   +4 more
europepmc   +1 more source

Development of a deep learning based framework for classification of Indian venomous snakes integrated with explainable artificial intelligence for primary and emergency care providers. [PDF]

PLoS Negl Trop Dis
Manna IIA, Wagle U, Balaji B, Lath V, Sampathila N, Upadya P S, Sirur FM.   +6 more
europepmc   +1 more source

Resource effects of COVID‐induced work‐from home: A qualitative study of parental and non‐parental white collar workers in Germany

European Management Review, EarlyView.
Abstract Germany is a corporate environment that is sceptical towards digitalization and work‐from‐home, and in which it is customary to separate professional and personal spheres of life. The COVID‐19 pandemic, and ensuing government‐mandated shutdowns, changed all that by inducing extensive work‐from‐home conditions for most of the white collared ...
Jasmin Mahadevan, Sven Metzler, Jule Amelie Vögele, Raphael Diehm   +3 more
wiley   +1 more source