Results 251 to 260 of about 87,712 (288)

Enhanced Hardrock Seismic Imaging Through Multi‐Scale Information‐Guided Unsupervised Learning

Journal of Geophysical Research: Machine Learning and Computation, Volume 2, Issue 2, June 2025.
Abstract In hardrock or crystalline rock geological settings, due to low impedance contrast, reflected energy is usually weak. In addition, often stronger surface waves and noncoherent noise are observed including high‐frequency scattering noise, which seriously covers the useful reflection signal. Therefore, imaging of hardrock seismic data with a low
Liuqing Yang, Alireza Malehmir, Magdalena Markovic   +2 more
wiley   +1 more source

A novel dynamic vibration absorber for vibration control of piping systems under multi-frequency harmonic excitations. [PDF]

Sci Rep
Yin L, Xu W, Hu Z, Xiao L.
europepmc   +1 more source

Guide in Designing an Asynchronous Performance‐Centric Framework for Heterogeneous Microservices in Time‐Critical Cybersecurity Applications. The BIECO Use Case

Expert Systems, Volume 42, Issue 6, June 2025.
ABSTRACT This article presents the architecture, design and validation of a microservice orchestration approach that improves the flexibility of heterogeneous microservice‐based platforms. Improving user experience and interaction for time‐critical applications are aspects that were primary objectives for the design of the architecture.
Daniela Delinschi, Rudolf Erdei, Emil Marian Pasca, Iulia Bărăian, Oliviu Matei   +4 more
wiley   +1 more source

Channel and Power Allocation for Multi-Cell NOMA Using Multi-Agent Deep Reinforcement Learning and Unsupervised Learning. [PDF]

Sensors (Basel)
Sun M, Zhong Y, He X, Zhang J.
europepmc   +1 more source

SapFlower: an automated tool for sap flow data preprocessing, gap‐filling, and analysis using deep learning

New Phytologist, Volume 246, Issue 5, Page 2324-2345, June 2025.
Summary Sap flow, a critical process in plant water use and ecosystem water cycles, is often measured using thermal dissipation probes (TDP) due to their ease of installation and continuous data collection. However, sap flow data frequently include noise, outliers, and gaps, creating challenges for analysis and requiring substantial manual processing ...
Jiaxin Wang, Heidi J. Renninger
wiley   +1 more source

Device-Driven Service Allocation in Mobile Edge Computing with Location Prediction. [PDF]

Sensors (Basel)
Zeng Q, Li X, Chen Y, Yang M, Liu X, Liu Y, Xiu S.   +6 more
europepmc   +1 more source

Load-Balanced Dynamic SFC Migration Based on Resource Demand Prediction. [PDF]

Sensors (Basel)
Sun T, Hu H, Zhang S.
europepmc   +1 more source

Dynamic Bandwidth Slicing in Passive Optical Networks to Empower Federated Learning. [PDF]

Sensors (Basel)
Mohammed AFY, Lee J, Park S.
europepmc   +1 more source

Edge assisted energy optimization for mobile AR applications for enhanced battery life and performance. [PDF]

Sci Rep
Sahu D, Nidhi, Prakash S, Pandey VK, Yang T, Rathore RS, Wang L.   +6 more
europepmc   +1 more source

ADPO: Adaptive DRAM Controller for Performance Optimization. [PDF]

Micromachines (Basel)
Liu Z, Li Y, Zeng X.
europepmc   +1 more source