Results 141 to 150 of about 280,284 (292)

A Flexible and Energy‐Efficient Compute‐in‐Memory Accelerator for Kolmogorov–Arnold Networks

Advanced Intelligent Systems, EarlyView.
This article presents KA‐CIM, a compute‐in‐memory accelerator for Kolmogorov–Arnold Networks (KANs). It enables flexible and efficient computation of arbitrary nonlinear functions through cross‐layer co‐optimization from algorithm to device. KA‐CIM surpasses CPU, ASIC, VMM‐CIM, and prior KAN accelerators by 1–3 orders of magnitude in energy‐delay ...
Chirag Sudarshan, Oliver Artner, Paul‐Philipp Manea, Sebastian Siegel, Susanne Hoffmann‐Eifert, Regina Dittmann, John Paul Strachan   +6 more
wiley   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source

Tiling groups for Wang tiles

, 2001
Nous utilisons les groupes de pavages et fonctions de hauteur pour les pavages de régions du plan par des tuiles de Wang, qui sont des carrés aux cotés colorés ( nous voulons que les cotés partagées par deux carrés aient la même couleur). Nous définissons un ensemble de tuiles comme étant non-ambigü s'il contient toutes les tuiles équivalentes l ...
Moore, Cristopher, Rapaport, Ivan, Rémila, Eric   +2 more
openaire   +1 more source

Methods for Setting Device Specifications for Analog In‐Memory Computing Inference

Advanced Intelligent Systems, EarlyView.
Non‐volatile memories (NVMs) are being developed for analog in‐memory computing for energy‐efficient, high‐speed deep learning inference. As technology is moving to industry adoption, a method to define required NVM specifications is critical for improving performance and reducing manufacturing cost.
Zhenyu Wu, Xin Su, Malte J. Rasch, Ning Li   +3 more
wiley   +1 more source

Digital Surface‐Enhanced Raman Scattering With Event Counting and Spectrum Learning for Label‐Free Protein Quantification

Advanced Intelligent Systems, EarlyView.
A statistical and machine learning‐assisted surface‐enhanced Raman scattering (SERS) framework is developed for label‐free quantification of low‐abundance analytes, including proteins. Combining digital SERS event counting with binomial regression and an artificial neural network (ANN) trained on full spectra, the approach achieves picomolar detection ...
Eni Kume, James Rice
wiley   +1 more source

High‐Resolution Genomic Characterization of WAGR Spectrum Disorder: Insights From a Novel Cohort and Literature Synthesis, and Validation of Patient‐Reported Data

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT WAGR spectrum disorder (WAGRSD) is an ultra‐rare congenital disorder caused by heterozygous deletion of chromosome 11p13. While classically associated with Wilms tumor, Aniridia, Genitourinary anomalies, and a Range of developmental delays, accurate delineation of the deletion is critical for prognosis because the phenotypic spectrum extends ...
Andrew M. George, Bamelak T. Duki, Zoe S. Katz, Aravind Viswanathan, Suzanne P. MacFarland, Evan R. Hathaway, Caitlin Monahan, John Morris, Kelly L. Trout, Shari M. Krantz, Arupa Ganguly, Jennifer M. Kalish   +11 more
wiley   +1 more source

Prospecting of Architectural Features Using LiDAR‐UAV Technology, Deep Neural Networks and Visualization Techniques: A Case Study in Kuélap and Cambolín (NW Peru)

Archaeological Prospection, EarlyView.
ABSTRACT High‐resolution and accurate synoptic images of terrestrial topography, even in densely forested areas, have proven valuable for archaeology by enabling the identification and characterization of relief patterns associated with ancient human activities. This study presents a novel approach that integrates digital terrain models (DTMs) obtained
Jhon A. Zabaleta‐Santisteban, Rolando Salas López, Angel J. Medina‐Medina, Katerin M. Tuesta‐Trauco, Abner S. Rivera‐Fernandez, Nerci M. Noriega‐Salazar, José A. Sánchez‐Vega, Teodoro B. Silva‐Melendez, Marlen A. Grandez‐Alberca, Jhonsy O. Silva‐López, Nilton B. Rojas‐Briceño, Manuel Oliva‐Cruz, Alexander Cotrina‐Sanchez, Elgar Barboza   +13 more
wiley   +1 more source

A Prospection‐Led Archaeological Investigation of a Picenian and Roman Necropolis in Corinaldo (Marche, Italy)

Archaeological Prospection, EarlyView.
ABSTRACT This paper presents the results of an integrated archaeological and geophysical investigation conducted between 2018 and 2024 at the newly discovered Picenian and Roman necropolis of Contrada Nevola (Corinaldo, Marche, Central Italy), identified in the framework of development‐led archaeology. The research strategy combined aerial photography,
Federica Boschi
wiley   +1 more source

Game‐based learning for undergraduate consolidation: A qualitative study of how game‐based learning provides much more than knowledge acquisition

Anatomical Sciences Education, EarlyView.
Abstract Game‐based learning (GBL) is increasingly used in medical education to supplement traditional didactic learning methods. Adult learners in particular may benefit from GBL, given the autonomous and iterative nature of a well‐designed educational game.
Thomas J. Paddock, Erin P. Fillmore
wiley   +1 more source

A HOMELAND DIVIDED IN SQUARES: JOAQUIM DE VASCONCELOS (1849-1936) IDENTITY PANELS

Art is on, 2018
Considered the founder of Art History in Portugal with a rigorous method, Joaquim de Vasconcelos was also a Musicologist, Museologist, Teacher and Professor, Art Critic and a “champion” of visual transmission “systems” like Photography and Drawing.
Sandra Leandro
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