Results 191 to 200 of about 6,547 (263)

Converting an Integer to a Decimal String in Under Two Nanoseconds

Software: Practice and Experience, Volume 56, Issue 8, Page 963-977, August 2026.
ABSTRACT Objective Converting binary integers to variable‐length decimal strings is a fundamental operation in computing. Conventional fast approaches rely on recursive division and small lookup tables. The goal of this work is to develop a significantly faster method for this task.
Jaël Champagne Gareau, Daniel Lemire
wiley   +1 more source

Democratizing cloud data lake analytics: natural language access to Apache Iceberg via LLM agents. [PDF]

Front Big Data
Kataria V, Kumar N.
europepmc   +1 more source

Data‐Driven Emulation of Numerically Simulated Baltic Sea Surface Currents With a Deep Convolutional U‐Net: Explainability and Potential Forecast Skill

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Ocean models can represent surface circulation at kilometer scales, but their computational cost limits broad experimentation. We present DeepCUN, a deep convolutional encoder–decoder (U‐Net) that emulates daily mean Baltic Sea surface current components on a 1‐nautical‐mile grid.
Amirhossein Barzandeh, Christoph Manss, Frederic Stahl, Ilja Maljutenko, Sander Rikka, Urmas Raudsepp   +5 more
wiley   +1 more source

LightTrack-ReID: A lightweight and occlusion-robust framework for multi-object tracking. [PDF]

PLoS One
Khan SBJ, Zhang P, Kamal MM, Saudagar AKJ.   +3 more
europepmc   +1 more source

On Making Informed Decisions Regarding Clustering Event Logs in Process Discovery

Expert Systems, Volume 43, Issue 8, August 2026.
ABSTRACT Process discovery is intended to machine‐learn process models by analysing event logs that record how real processes work. The resulting models tend to be complex because they must account for all the variability in the event logs. It is agreed that clustering the input event log prior to discovery may result in better models.
Belén Ramos‐Gutiérrez, Ana Lavalle, Rafael Corchuelo, Alejandro Maté, Juan C. Trujillo, María Teresa Gómez‐López   +5 more
wiley   +1 more source

Cognitive control of memory in a food-storing and a non-storing bird species. [PDF]

Anim Cogn
Brown EK, Sherry DF, Hampton RR.
europepmc   +1 more source

Evaluating the Risk Assessment: Determining Insights and Challenges of Climate Risk Prediction Using Supervised Technology

Natural Resource Modeling, Volume 39, Issue 3, August 2026.
ABSTRACT In a world of expanding urbanization, which causes climate change and has adverse impacts and risks, our research introduces an intuitive and user‐friendly dashboard named Climate Risk Mitigation Dashboard (CRMD) to address these challenges sustainably.
Ritu Chauhan, Mehak Jena, Aarushi Mishra, Harleen Kaur, Bhavya Alankar   +4 more
wiley   +1 more source

Deep Reinforcement Learning-Enabled Computation Offloading: A Novel Framework to Energy Optimization and Security-Aware in Vehicular Edge-Cloud Computing Networks. [PDF]

Sensors (Basel)
Almuseelem W.
europepmc   +1 more source

Self‐Powered Bearing Sensing and Real‐Time Fault Diagnosis Enabled by Non‐Invasive Triboelectric Sensors and Edge AI Acceleration

Advanced Science, Volume 13, Issue 40, 17 July 2026.
This study achieves the synergistic integration of self‐powered sensing and edge AI acceleration to establish a real‐time fault diagnosis system. The proposed TENG‐based self‐powered bearing sensor (NSE‐TBS) and FPGA‐accelerated edge AI framework fundamentally break through the inherent limitations of conventional monitoring systems, including complex ...
Kehui Zhu, Zhongheng Liu, Xinming Li, Jinrui Zhang, Meng Li, Yiming Guo, Lihua Han, Yanxue Wang   +7 more
wiley   +1 more source

What is the nature of cache memory in Parids? A comment on Chettih et al. 2024. [PDF]

Anim Cogn
Smulders TV, Cheng S.
europepmc   +1 more source