Zobrazeno 1 - 10
of 883
pro vyhledávání: '"Le Phuoc"'
Publikováno v:
Human Behavior and Emerging Technologies, Vol 2024 (2024)
The adoption of online learning modalities has increasingly become prevalent, particularly with the advent of COVID-19, aiming to ensure student access to learning materials. This significant shift towards offering online educational formats compels
Externí odkaz:
https://doaj.org/article/ed60fcad11204c629b24ea0bb2c2fea7
Autor:
Sinenko Sergei, Le Phuoc Hieu
Publikováno v:
BIO Web of Conferences, Vol 107, p 06019 (2024)
This article studies methods, techniques and means of visualization for the formation of technological maps for construction processes in 3D. The article describes factors influencing the modeling as well as their classification. A 3D model of a mult
Externí odkaz:
https://doaj.org/article/bcdfdec013334d429fd97b5319cbe68b
Publikováno v:
PeerJ, Vol 11, p e14803 (2023)
The available phosphorus (P) in acid sulfate soils (ASSs) is low because of fixation by aluminum (Al) and iron (Fe), resulting in decreased P use efficiency and crop yield. At present, the use of dicarboxylic acid polymer (DCAP) coated on P fertilize
Externí odkaz:
https://doaj.org/article/2e5d20400a2c4c0f93f86c91308f39dc
Autor:
Thamer Adnan Abdullah, Tatjana Juzsakova, Rashed Taleb Rasheed, Ali Dawood Salman, Mohammademad Adelikhah, Le Phuoc Cuong, Igor Cretescu
Publikováno v:
Chemistry Journal of Moldova: General, Industrial and Ecological Chemistry, Vol 16, Iss 2, Pp 102-111 (2021)
This paper deals with V2O5 nanoparticles adsorbents which were obtained by thermal pretreatment carried out by increasing the temperature between 90 and 750°C. In order to obtain more detailed information on the surface chemistry of the newly prepar
Externí odkaz:
https://doaj.org/article/825ef18ea7b9486da14ad046cb8e3bd8
Federated Class-Incremental Learning (FCIL) increasingly becomes important in the decentralized setting, where it enables multiple participants to collaboratively train a global model to perform well on a sequence of tasks without sharing their priva
Externí odkaz:
http://arxiv.org/abs/2407.11078
Autor:
Nguyen Truong Tho, Le Ngoc Minh, Le Tran Uyen Tu, Dung Thi Hoai Trang, Le Phuoc Dinh, Nguyen Ly Huu Huan, Le Thi Phuong Thao, Nguyen Thi Hue, Ngo Minh Hau
Publikováno v:
Tạp chí Khoa học Đại học Huế: Khoa học Tự nhiên, Vol 130, Iss 1B (2021)
In this study, Bi0.5(Na1–xKx)0.5SnO3 (BNKS) ceramics (x = 0, 0.1, 0.2, 0.3, and 0.4) were fabricated via ultrasound wave before milling. The time of ball milling decreased from 20 to 1 h. The X-ray diffraction patterns show that the BNKS has a sing
Externí odkaz:
https://doaj.org/article/8a7c49b807544229ba40c661a16766b9
The paper addresses the study and applications of a broad class of extended-real-valued functions, known as optimal value or marginal functions, which are frequently appeared in variational analysis, parametric optimization, and a variety of applicat
Externí odkaz:
http://arxiv.org/abs/2405.20737
Federated Learning (FL) is a promising paradigm that offers significant advancements in privacy-preserving, decentralized machine learning by enabling collaborative training of models across distributed devices without centralizing data. However, the
Externí odkaz:
http://arxiv.org/abs/2405.20431
The adoption of the Internet of Things (IoT) deployments has led to a sharp increase in network traffic as a vast number of IoT devices communicate with each other and IoT services through the IoT-edge-cloud continuum. This network traffic increase p
Externí odkaz:
http://arxiv.org/abs/2404.19492
Unsupervised Domain Adaptation (UDA) has shown significant advancements in object detection under well-lit conditions; however, its performance degrades notably in low-visibility scenarios, especially at night, posing challenges not only for its adap
Externí odkaz:
http://arxiv.org/abs/2404.01988