Results 101 to 110 of about 4,847 (258)

Contouring Signed Distance Fields by Approximating Gradients

Computer Graphics Forum, EarlyView.
Abstract Signed distance fields are often represented by discrete samples (e.g., on a grid). Recovering the contour implicitly represented by the distance samples requires an approximation algorithm. Several recent approaches have shown that exploiting the information carried in each distance sample by explicitly constructing a surface point gives ...
M. Kohlbrenner, M. Alexa
wiley   +1 more source

VQ‐Style: Disentangling Style and Content in Motion with Residual Quantized Representations

Computer Graphics Forum, EarlyView.
Abstract Human motion data is inherently rich and complex, containing both semantic content and subtle stylistic features that are challenging to model. We propose a novel method for effective disentanglement of the style and content in human motion data to facilitate style transfer.
Fatemeh Zargarbashi, Dhruv Agrawal, Jakob Buhmann, Martin Guay, Stelian Coros, Robert W. Sumner   +5 more
wiley   +1 more source

Survey on differential estimators for 3d point clouds

Computer Graphics Forum, EarlyView.
Abstract Recent advancements in 3D scanning technologies, including LiDAR and photogrammetry, have enabled the precise digital replication of real‐world objects. These methods are widely used in fields such as GIS, robotics, and cultural heritage. However, the point clouds generated by such scans are often noisy and unstructured, posing challenges for ...
Léo Arnal–Anger, Thibault Lejemble, David Coeurjolly, Loïc Barthe, Nicolas Mellado   +4 more
wiley   +1 more source

FlowGS: Controlling Information Flow for Graph‐Based Interaction in 3D Gaussian Splatting

Computer Graphics Forum, EarlyView.
Abstract 3D Gaussian Splatting (3DGS) has recently enabled real‐time, high‐quality novel view synthesis. However, its formulation treats each Gaussian independently, lacking explicit information exchange between neighboring elements and limiting its ability to capture local structure.
T. Jia, R. Sun, W. Shi
wiley   +1 more source

Artificial intelligence driven spatiotemporal query framework for mobile wireless sensor networks

Discover Sensors
Mobile Wireless Sensor Networks (MWSNs) with dual mobility enable dynamic data collection in smart agriculture, but lack efficient spatiotemporal query support.
Akanksha Gupta, Santosh Soni
doaj   +1 more source

Dissection of Mitochondrial Function via Chemical Perturbation and Single‐Cell Profiling

Cell Proliferation, EarlyView.
We establish a systematic framework to dissect mitochondrial function at the module level by combining targeted chemical perturbations with scRNA‐seq. This approach reveals shared and module‐specific programs linking mitochondrial activity to mito‐nuclear communication, stress response, and cell cycle, highlighting the tight coupling between ...
Hao Luo, Xiaona Yin, Hongxin He, Yaning Wang, Hongbo Zhang   +4 more
wiley   +1 more source

Immune Repertoire Profiling Reveals Distinct Adaptive Immune Signatures of Dampness ZHENG Across Psoriasis, Rheumatoid Arthritis and Ulcerative Colitis

Cell Proliferation, EarlyView.
Schematic diagram for the experimental design for adaptome immune repertoire analysing Dampness ZHENG across Psoriasis, Rheumatoid Arthritis and Ulcerative Colitis. ABSTRACT Autoimmune diseases, including psoriasis (Ps), rheumatoid arthritis (RA) and ulcerative colitis (UC), pose significant health burdens worldwide.
Lipeng Tang, Maojie Wang, Yuhong Yan, Shumin Qin, Youbang Liang, Danni Yao, Liyan Mei, Hao Deng, Shuyan Ye, Xiumin Chen, Kaixin Gao, Xirun Zheng, Taohua Liu, Xinmin Qiu, Song Li, Xinjie Yu, Wenjing Pan, Shaogang Huang, Zhe Wang, Runyue Huang, Guangjuan Zheng, Chuanjian Lu   +21 more
wiley   +1 more source

Machine learning approaches in automated infant General Movements Assessment: A scoping review

Developmental Medicine &Child Neurology, EarlyView.
Automated infant General Movements Assessment increasingly uses machine‐ and deep‐learning approaches to classify movement patterns and estimate cerebral palsy risk from video or sensor data. This scoping review highlights how dataset characteristics, recording environment, pose‐estimation accuracy, feature extraction, and model design influence system
Manpreet Kaur, Hamid Abbasi, Sîan A. Williams, Thor F. Besier, Angus J. C. McMorland   +4 more
wiley   +1 more source

Comparative predictive accuracy of machine learning versus traditional statistical methods for diabetes‐related complications: A systematic review and analysis

Diabetic Medicine, EarlyView.
This systematic review of 36 studies comparing machine learning with traditional statistical models for predicting diabetes‐related complications found modest discrimination gains with ensemble approaches, particularly random forest and gradient boosting.
Bismah Ghafoor, Francesco Zaccardi, Kamlesh Khunti, Sharmin Shabnam   +3 more
wiley   +1 more source

Artificial intelligence for detection and segmentation of accessory root canals in endodontic imaging: A systematic review

European Journal of Oral Sciences, EarlyView.
Abstract Accessory root canal anatomy, including second mesiobuccal (MB2) and middle mesial canals (MMC), is difficult to identify and may compromise endodontic outcomes when missed, supporting artificial intelligence (AI)‐based diagnostic tools. This systematic review (CRD420261415943) included studies evaluating AI models for accessory canal or root ...
Hugo Henrique dos Santos Dantas Guimarães, Karla Nogueira Matos   +1 more
wiley   +1 more source