Results 11 to 20 of about 864,834 (272)

The clinical spectrum of SMA‐PME and in vitro normalization of its cellular ceramide profile

open access: yesAnnals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 1941-1952, December 2022., 2022
Abstract Objective The objectives of this study were to define the clinical and biochemical spectrum of spinal muscular atrophy with progressive myoclonic epilepsy (SMA‐PME) and to determine if aberrant cellular ceramide accumulation could be normalized by enzyme replacement.
Michelle M. Lee   +16 more
wiley   +1 more source

Multidimensional Data Analysis for Enhancing In-Depth Knowledge on the Characteristics of Science and Technology Parks

open access: yesApplied Sciences, 2023
The role played by science and technology parks (STPs) in technology transfer, industrial innovation, and economic growth is examined in this paper. The accurate monitoring of their evolution and impact is hindered by the lack of uniformity in STP models
Olga Francés   +4 more
doaj   +1 more source

Multiview Fusion Using Transformer Model for Recommender Systems: Integrating the Utility Matrix and Textual Sources

open access: yesApplied Sciences, 2023
Recommender systems are challenged with providing accurate recommendations that meet the diverse preferences of users. The main information sources for these systems are the utility matrix and textual sources, such as item descriptions, users’ reviews ...
Thi-Linh Ho, Anh-Cuong Le, Dinh-Hong Vu
doaj   +1 more source

An Efficient Deep Learning for Thai Sentiment Analysis

open access: yesData, 2023
The number of reviews from customers on travel websites and platforms is quickly increasing. They provide people with the ability to write reviews about their experience with respect to service quality, location, room, and cleanliness, thereby helping ...
Nattawat Khamphakdee   +1 more
doaj   +1 more source

Exploring Bi-Directional Context for Improved Chatbot Response Generation Using Deep Reinforcement Learning

open access: yesApplied Sciences, 2023
The development of conversational agents that can generate relevant and meaningful replies is a challenging task in the field of natural language processing.
Quoc-Dai Luong Tran, Anh-Cuong Le
doaj   +1 more source

Tonal Contour Generation for Isarn Speech Synthesis Using Deep Learning and Sampling-Based F0 Representation

open access: yesApplied Sciences, 2020
The modeling of fundamental frequency (F0) in speech synthesis is a critical factor affecting the intelligibility and naturalness of synthesized speech. In this paper, we focus on improving the modeling of F0 for Isarn speech synthesis. We propose the F0
Pongsathon Janyoi, Pusadee Seresangtakul
doaj   +1 more source

A Method of Chinese-Vietnamese Bilingual Corpus Construction for Machine Translation

open access: yesIEEE Access, 2022
A bilingual corpus is vital for natural language processing problems, especially in machine translation. The larger and better quality the corpus is, the higher the efficiency of the resulting machine translation is.
Phuoc Tran   +4 more
doaj   +1 more source

Speech Rate Adjustments in Conversations With an Amazon Alexa Socialbot

open access: yesFrontiers in Communication, 2021
This paper investigates users’ speech rate adjustments during conversations with an Amazon Alexa socialbot in response to situational (in-lab vs. at-home) and communicative (ASR comprehension errors) factors.
Michelle Cohn   +7 more
doaj   +1 more source

A Systematic Comparison of Data Selection Criteria for SMT Domain Adaptation

open access: yesThe Scientific World Journal, 2014
Data selection has shown significant improvements in effective use of training data by extracting sentences from large general-domain corpora to adapt statistical machine translation (SMT) systems to in-domain data.
Longyue Wang   +4 more
doaj   +1 more source

Chemical-induced disease relation extraction via attention-based distant supervision

open access: yesBMC Bioinformatics, 2019
Background Automatically understanding chemical-disease relations (CDRs) is crucial in various areas of biomedical research and health care. Supervised machine learning provides a feasible solution to automatically extract relations between biomedical ...
Jinghang Gu   +3 more
doaj   +1 more source

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