Results 51 to 60 of about 4,525,819 (292)

Hybrid Transformer-Based Large Language Models for Word Sense Disambiguation in the Low-Resource Sesotho sa Leboa Language

Applied Sciences
This study addresses a lexical ambiguity issue in Sesotho sa Leboa that arises from terms with various meanings, often known as homonyms or polysemous words.
Hlaudi Daniel Masethe, Mosima Anna Masethe, Sunday O. Ojo, Pius A. Owolawi, Fausto Giunchiglia   +4 more
doaj   +1 more source

AD in Fortran, Part 1: Design [PDF]

, 2012
We propose extensions to Fortran which integrate forward and reverse Automatic Differentiation (AD) directly into the programming model. Irrespective of implementation technology, embedding AD constructs directly into the language extends the reach and ...
Pearlmutter, Barak A., Radul, Alexey, Siskind, Jeffrey Mark   +2 more
core   +1 more source

A Wireless, Battery‐Free Artificial Throat Patch with Deep Learning for Emotional Speech Recognition

Advanced Science, EarlyView.
In this work, Xu and co‐workers develop a wireless, battery‐free artificial throat patch system (ATPS) consisting of a carbon nanotube‐based thin‐film strain sensor and a miniaturized flexible printed circuit board, to enable real‐time sensing of throat signals.
Bingxin Xu, Guanming Lin, Xiaohui Hong, Chuting Liu, Xinyi Qu, Kangjian Jiao, Lei Zhang, Bingzhe Xu, Jun Yan, Yancong Qiao, Xudong Lin   +10 more
wiley   +1 more source

Automated Alignment Powered by Computer Vision Streamlines the Two‐Photon Polymerization‐Based Micro 3D Printing of Multiscale and Multimaterial Structures

Advanced Intelligent Discovery, EarlyView.
Two‐photon polymerization enables high‐resolution microfabrication, but performing alignment when printing multiple structures is difficult. Here, we present a fast, robust, and open‐source protocol for automated alignment on Nanoscribe systems. Achieving ≈0.4 μm accuracy in under 5 s, our protocol reduces time and error in multimaterial printing. This
Daniel Maher, Valentina Mendoza Martinez, Marcin Piotr Piekarczyk, Stefan Sützl, Ada‐Ioana Bunea   +4 more
wiley   +1 more source

An implemented predictive coding model of lexico-semantic processing explains the dynamics of univariate and multivariate activity within the left ventromedial temporal lobe during reading comprehension

NeuroImage
During language comprehension, the larger neural response to unexpected versus expected inputs is often taken as evidence for predictive coding—a specific computational architecture and optimization algorithm proposed to approximate probabilistic ...
Lin Wang, Samer Nour Eddine, Trevor Brothers, Ole Jensen, Gina R. Kuperberg   +4 more
doaj   +1 more source

Bandit Structured Prediction for Neural Sequence-to-Sequence Learning

, 2017
Bandit structured prediction describes a stochastic optimization framework where learning is performed from partial feedback. This feedback is received in the form of a task loss evaluation to a predicted output structure, without having access to gold ...
Kreutzer, Julia, Riezler, Stefan, Sokolov, Artem   +2 more
core   +1 more source

Robust Dysarthric Speech Recognition with GAN Enhancement and LLM Correction

Advanced Intelligent Systems, EarlyView.
This study tackles dysarthric speech recognition by combining generative adversarial network (GAN)‐generated synthetic data with large language model (LLM)‐based error correction. The approach integrates three key elements: an improved CycleGAN to generate synthetic dysarthric speech for data augmentation, a multimodal automatic speech recognition core
Yibo He, Kah Phooi Seng, Chee Shen Lim, Li Minn Ang   +3 more
wiley   +1 more source

Optimization of Queries Containing Conjunctions of Conditions

Моделирование и анализ информационных систем, 2011
A new algorithm for query optimization is proposed. This algorithm simplifies queries restriction containing multi-attribute conditions. It also solves the problem of "Condition AND Conjunction of conditions" expressions.
S. D. Kuznetsov, N. A. Mendkovich
doaj  

Novel heuristic-based hybrid ResNeXt with recurrent neural network to handle multi class classification of sentiment analysis

Machine Learning: Science and Technology, 2023
Present-day, interdisciplinary research is increasing in social network-related applications, and it is a daily routine activity in every human life. So, sentiment analysis (SA) based on opinion mining is the most sophisticated concept in the well-known ...
Lakshmi Revathi Krosuri, Rama Satish Aravapalli   +1 more
doaj   +1 more source

optimParallel: An R Package Providing a Parallel Version of the L-BFGS-B Optimization Method

The R Journal, 2019
The R package optimParallel provides a parallel version of the L-BFGS-B optimization method of optim(). The main function of the package is optimParallel(), which has the same usage and output as optim().
Florian Gerber, R. Furrer
semanticscholar   +1 more source