Results 221 to 230 of about 61,624 (324)

LoRA-INT8 Whisper: A Low-Cost Cantonese Speech Recognition Framework for Edge Devices. [PDF]

Sensors (Basel)
Zhang L, Wu S, Wang Z.
europepmc   +1 more source

Hyperparameter‐Free Maximum Versoria Criterion Based Channel‐State Acquisition for mmWave Hybrid MIMO With Hardware Impairments

IET Communications, Volume 20, Issue 1, January/December 2026.
This paper addresses channel estimation in mmWave (millimetre wave) hybrid MIMO (multiple‐input multiple‐output) systems impaired by residual transceiver hardware nonidealities, modelled as additive non‐Gaussian noise via Bussgang decomposition. A hyperparameter‐free maximum Versoria criterion (MVC)‐based channel estimator is proposed, featuring a ...
Rangeet Mitra, Sandesh Jain, K. Venkateswaran, Rajat Kumar, Vimal Bhatia, Ondrej Krejcar   +5 more
wiley   +1 more source

Search-optimized quantization in biomedical ontology alignment. [PDF]

Front Artif Intell
Bouaggad O, Grabar N.
europepmc   +1 more source

UNJUK KERJA METODE KLASIFIKASI SUPPORT VECTOR MACHINE (SVM) DENGAN LEARNING VECTOR QUANTIZATION (LVQ) PADA APLIKASI PENGENALAN WAJAH [PDF]

, 2015
Yustina Retno Wahyu Utami, Teguh Susyanto   +1 more
openalex  

Regularised Hyper Parameter Bi Level Optimisation With Continual Learning Based Deep Neural Network for Beamforming in Ultra‐Wide Band System

IET Communications, Volume 20, Issue 1, January/December 2026.
This research proposes a Regularised Hyperparameter Bilevel Optimisation with Continual Learning‐based Deep Neural Network (RHBO‐CLDNN) for beamforming in an Ultra‐Wide Band (UWB) system. The RHBO ensures the hyperparameter efficiency at both upper and lower levels, which allows DNN to fine‐tune the unique characteristics of the UWB system, which leads
Pradeep Kumar Siddanna, Bidare Divakarachari Parameshachari, Dharmanna Shivappa Lamani   +2 more
wiley   +1 more source

Image Contrast Enhancement using Learning Vector Quantization

, 2018
Priyanka Yadav, Vineet Khanna
openalex   +1 more source

Communication‐Security Co‐Design for Federated Learning in Grant‐Free NOMA IoT Networks

IET Communications, Volume 20, Issue 1, January/December 2026.
This article presents SA‐PPO, a Security‐Aware Proximal Policy Optimisation framework for federated learning over grant‐free NOMA (non‐orthogonal multiple access) in IoT networks. By jointly optimising access control, resource allocation, and trust‐weighted aggregation using cross‐layer indicators, SA‐PPO enhances both communication reliability and ...
Emmanuel Atebawone, Kwame Opuni‐Boachie Obour Agyekum, James Dzisi Gadze, Kwasi Adu‐Boahen Opare, Owusu Agyeman Antwi, Robert Akromond   +5 more
wiley   +1 more source

LVQ-SMOTE - Learning Vector Quantization based Synthetic Minority Over-sampling Technique for biomedical data. [PDF]

BioData Min, 2013
Nakamura M, Kajiwara Y, Otsuka A, Kimura H.   +3 more
europepmc   +1 more source

Digital‐Twin‐Enabled, Time‐Aware Anomaly Detection for Industrial Cyber‐Physical Systems

Digital Twins and Applications, Volume 3, Issue 1, January/December 2026.
The graphical abstract (Graphical Abstract figure) summarises the proposed pipeline: multivariate ICS data streams are windowed and normalised, fed into a temporal LSTM–DNN encoder and per‐sensor operating‐envelope learner, combined via calibrated fusion and finally surfaced through an operator‐facing digital twin that provides event timelines, top ...
Wulfran Fendzi Mbasso, Ambe Harrison, Idriss Dagal, Pradeep Jangir, Zhe Liu, Aseel Smerat   +5 more
wiley   +1 more source

PENGENALAN AKSARA KA-GA-NGA DENGAN METODE LEARNING VECTOR QUANTIZATION (LVQ) [PDF]

, 2014
Naimah Lubis, Hermansyah Edy, Desi Andeswari   +2 more
openalex