Results 61 to 70 of about 5,135,840 (274)

Controller-driven vector autoregression model for predicting content popularity in programmable named data networking devices [PDF]

PeerJ Computer Science
Named Data Networking (NDN) has emerged as a promising network architecture for content delivery in edge infrastructures, primarily due to its name-based routing and integrated in-network caching.
Firdous Qaiser, Mudassar Hussain, Abdul Ahad, Ivan Miguel Pires   +3 more
doaj   +2 more sources

Continual Learning for Multimodal Data Fusion of a Soft Gripper

Advanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source

Gain-aware caching scheme for information-centric networking

Tongxin xuebao, 2016
The in-network caching system of information-centric networking had to deal with the popularity of huge number of content chunks and make efficient usage of storage resources.A content popularity based caching gain opti-mization model aimed to get ...
Long CHEN, Hong-bo TANG, Xing-guo LUO, Yi BAI, Zhen ZHANG   +4 more
doaj   +2 more sources

Solid Harmonic Wavelet Bispectrum for Image Analysis

Advanced Science, EarlyView.
The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown, Mathilda Avirett‐Mackenzie, Carolin Villforth, Georgios Exarchakis   +3 more
wiley   +1 more source

Efficient Pooling and Collaborative Cache Management for NDN/IoT Networks

IEEE Access, 2021
Named Data Networking (NDN) has been recognized as a lever to the Internet of Things (IoT). One of the most founding features of NDN is in-network caching to improve data availability and reduce retrieval delays and network load. Despite the existence of
Bashaer Alahmri, Saad Al-Ahmadi, Abdelfettah Belghith   +2 more
doaj   +1 more source

Mepylome: A Point‐of‐Care Tumor Diagnostic Toolkit for Tumor DNA Methylation and Copy Number Analysis

Advanced Intelligent Systems, EarlyView.
DNA methylation and chromosomal copy number profiling have recently become essential for tumor diagnostics. The open‐source tool Mepylome enables this task in clinical routine. It combines several machine learning strategies and allows users to interactively examine respective data through an intuitive graphical interface. Running up to 65 times faster
Jon Brugger, Claus Hultschig, Daniel Baumhoer, Baptiste Ameline, Benjamin Maciej Freyter, Stephan Frank, Jürgen Hench   +6 more
wiley   +1 more source

Feature Disentangling and Combination Implemented by Spin–Orbit Torque Magnetic Tunnel Junctions

Advanced Intelligent Systems, EarlyView.
Spin–orbit torque magnetic tunnel junctions (SOT‐MTJs) enable efficient feature disentangling and integration in image data. A proposed algorithm leverages SOT‐MTJs as true random number generators to disentangle and recombine features in real time, with experimental validation on emoji and facial datasets.
Xiaohan Li, Yingqian Xu, Caihua Wan, Ran Zhang, Meike Hindenberg, Raik Hoffmann, Shiqiang Liu, Tianyi Zhang, Shilong Xiong, Dehao Kong, Jihao Xia, Fangshuo Gao, Zhuyang Nie, Thomas Kämpfe, Guoqiang Yu, Xiufeng Han   +15 more
wiley   +1 more source

Ultralow‐Power Real‐Time On‐Chip Thermal Prediction via Finite Element Method–Machine Learning Codesign and Field‐Programmable Gate Array Deployment

Advanced Intelligent Systems, EarlyView.
A lightweight machine learning (ML)‐based thermal prediction framework is demonstrated and implemented on a field‐programmable gate array (FPGA). Using measured temperature data from a real chiplet, the approach enables real‐time, die‐level heat‐map inference with low power consumption, validating practical on‐chip thermal monitoring for advanced ...
Jun Ho Lee, Jae Gyu Kim, Sung Jin Kim, Jae Yong Song, Byoung Don Kong   +4 more
wiley   +1 more source

Deep Learning-Based Content Caching in the Fog Access Points

Electronics, 2021
Proactive caching of the most popular contents in the cache memory of fog-access points (F-APs) is regarded as a promising solution for the 5G and beyond cellular communication to address latency-related issues caused by the unprecedented demand of ...
Sovit Bhandari, Navin Ranjan, Pervez Khan, Hoon Kim, Youn-Sik Hong   +4 more
semanticscholar   +1 more source

Proactive Caching Placement for Arbitrary Topology With Multi-Hop Forwarding in ICN

IEEE Access, 2019
With the rapid growth of network traffic and the enhancement of the quality of experiences of users, Information-Centric Networking (ICN), which is a content-centric network architecture with named data caching and routing, is proposed to improve the ...
Siyang Shan, Chunyan Feng, Tiankui Zhang, Jonathan Loo   +3 more
doaj   +1 more source