Results 241 to 250 of about 10,822,126 (305)

Engineering a Scalable Laboratory Infrastructure for Assembly Language Scaffolding: Design and Deployment of a Locally Optimized GenAI Assistant for the CODE‐2 Educational Architecture

Computer Applications in Engineering Education, Volume 34, Issue 3, May 2026.
ABSTRACT The transition from high‐level programming to assembly language constitutes a well‐documented pedagogical bottleneck in computer engineering curricula, particularly in large‐cohort laboratory settings where individualized scaffolding cannot scale.
Federico Garcia Crespi
wiley   +1 more source

DRFC: An efficient cloud-based feature reduction and clustering algorithm for agricultural product and remote-sensing imagery. [PDF]

PLoS One
Fu X, Xu Y.
europepmc   +1 more source

The Impact of Self‐Checkout Technology on Shopping Behavior in B2B Retail: Evidence From Point‐Of‐Sale Transaction Data

Journal of Consumer Behaviour, Volume 25, Issue 3, Page 1139-1168, May 2026.
ABSTRACT This study examines the impact of self‐checkout technology implementation on B2B customer shopping behavior using a novel methodological approach that combines propensity score matching with difference‐in‐differences analysis on actual point‐of‐sale transaction data.
Jindřich Špička, Michaela Dvořáková   +1 more
wiley   +1 more source

Decentralized queue control with delay shifting in edge-IoT using reinforcement learning. [PDF]

Sci Rep
Kovtun V.
europepmc   +1 more source

Monitoring Photo‐Depolymerization of Polyethylene Terephthalate Using Time‐Resolved Diffusion NMR on a Benchtop Spectrometer

Chemistry–Methods, Volume 6, Issue 5, May 2026.
The photo‐depolymerization of polyethylene terephthalate (PET) was monitored in real‐time using a time‐resolved diffusion (TR‐D) NMR acquisition interleaved with a WETsup1H experiment on a benchtop spectrometer. The approach enabled monitoring of the evolution of the diffusion coefficient, molecular mass, and dispersity of the polymer during the ...
Farwa Khalid, Chunchesh Malangi Gajendramurthy, Emilia Choińska, Mateusz Urbańczyk   +3 more
wiley   +1 more source

Multi-Agent Adaptive Traffic Signal Control Based on Q-Learning and Speed Transition Matrices. [PDF]

Sensors (Basel)
Majstorović Ž, Ivanjko E, Carić T, Miletić M.   +3 more
europepmc   +1 more source

Accelerated‐USE: A Benchmark Framework for GPU‐Driven Graph Neural Network Training

Concurrency and Computation: Practice and Experience, Volume 38, Issue 9, May 2026.
ABSTRACT Graph processing is used in many domains to extract knowledge from real‐world data. With the rise of deep neural networks and scaled compute infrastructure in artificial intelligence (AI), specialized techniques emerged to leverage graphs in applications such as recommendation systems and social networks.
Lucas de Angelo Martins Ribeiro, Willian Borges de Lemos, Vanessa Telles da Silva, Marcelo de Gomensoro Malheiros, Nelson Lopes Duarte Filho, Marcelo Rita Pias   +5 more
wiley   +1 more source

Hierarchical reinforcement learning-based traffic signal control. [PDF]

Sci Rep
Shen J.
europepmc   +1 more source

Surface Plasmon Resonance (SPR) Workflow for Comparative Analysis of Nanobody Variants Binding to Lysozyme as a Model Ligand

Current Protocols, Volume 6, Issue 5, May 2026.
Abstract Developing protein interaction–based technologies such as biosensors requires a clear understanding of receptor‐target kinetics. Nanobodies, which are camelid‐derived single‐domain antibodies, are ideal biosensor receptors due to their high specificity, stability, and ease of production. During biosensor development, multiple nanobody variants
Escarlet Díaz‐Galicia, Nicoleta Gutu, Yuli Peng, Almira Valitova, Dominik Renn, Magnus Rueping   +5 more
wiley   +1 more source

Do Humans Use Push-Down Stacks When Learning or Producing Center-Embedded Sequences? [PDF]

Cogn Sci
Ferrigno S, Cheyette SJ, Carey S.
europepmc   +1 more source