Results 41 to 50 of about 23,670,881 (172)

Random Forest-Based Model for Estimating Weighted Mean Temperature in Mainland China

Atmosphere, 2022
The weighted mean temperature (Tm) is a vital parameter for converting zenith wet delay (ZWD) into precipitation water vapor (PWV) and plays an essential part in the Global Navigation Satellite System (GNSS) inversion of PWV.
Haojie Li, Junyu Li, Lilong Liu, Liangke Huang, Qingzhi Zhao, Lv Zhou   +5 more
doaj   +1 more source

Real-time retrieval of high-precision ZTD maps using GNSS observation

Geodesy and Geodynamics
Zenith Tropospheric Delay (ZTD) is an important factor that restricts the high-precision positioning of global navigation satellite system (GNSS), and it is of great significance in establishing a real-time and high-precision ZTD model. However, existing
Qingzhi Zhao, Wei Wang, Jinfang Yin, Kan Wu, Lv Zhou, Yibin Yao, Pengcheng Wang, Jing Su, Xiaocheng Wang, Han Wang, Jia Bao, Yumeng Hu, Zhou Zhuo, Yuting Gao   +13 more
doaj   +1 more source

Artificial Intelligence Applications in Smart Cities: Integrating Communication, Energy Management, Cybersecurity and Internet of Things

The Journal of Engineering, Volume 2026, Issue 1, January/December 2026.
ABSTRACT Smart cities represent transformative urban ecosystems, leveraging advanced technologies to address challenges posed by rapid urbanisation, energy efficiency demands, and sustainability goals. Despite extensive research, a comprehensive and integrated literature analysis combining AI‐based communication, energy management, cybersecurity, and ...
Maaz Tahir Malik, Hafiz Abdul Muqeet, Rizwan Akram, Hafiz Muhammad Obaid, Atiq ur Rehman, Amine Bermak   +5 more
wiley   +1 more source

Tibetan Few‐Shot Learning Model With Deep Contextualised Two‐Level Word Embeddings

CAAI Transactions on Intelligence Technology, Volume 10, Issue 5, Page 1394-1410, October 2025.
ABSTRACT Few‐shot learning is the task of identifying new text categories from a limited set of training examples. The two key challenges in few‐shot learning are insufficient understanding of new samples and imperfect modelling. The uniqueness of low‐resource languages lies in their limited linguistic resources, which directly leads to the difficulty ...
Ziyue Zhang, Yongbin Yu, Xiangxiang Wang, Xiao Feng, Yuze Li, Jiarun Shen, Dorje Tashi, Jin Zhang, Lobsang Yeshi, Lei Li, Nyima Tashi, Jingye Cai   +11 more
wiley   +1 more source

The Rise of Large Language Models: Evolution, Applications, and Future Directions

Engineering Reports, Volume 7, Issue 9, September 2025.
This paper provides a comprehensive Systematic Literature Review (SLR) on Large Language Models (LLMs), covering their evolution, applications, evaluation metrics, and challenges. It identifies key research gaps and future directions, offering a structured taxonomy and analysis of performance environments, datasets, and open issues in LLM research ...
Amir Masoud Rahmani, Atefeh Hemmati, Shirin Abbasi   +2 more
wiley   +1 more source

ML@ChemE: Past, Present, and Future of Machine Learning in Chemical Engineering

ChemBioEng Reviews, Volume 12, Issue 4, August 2025.
Although the initial machine learning (ML) applications were mainly on fault detection, signal processing, and process modeling, they extended to new areas like property estimation and material screening in later years; energy technologies, environmental issues, health, and new materials will likely be more important in future with the use of larger ...
Pınar Özdemir, Ramazan Yıldırım
wiley   +1 more source

Assessment of the three representative empirical models for zenith tropospheric delay (ZTD) using the CMONOC data

Geodesy and Geodynamics
The precise correction of atmospheric zenith tropospheric delay (ZTD) is significant for the Global Navigation Satellite System (GNSS) performance regarding positioning accuracy and convergence time.
Debao Yuan, Jian Li, Yifan Yao, Fei Yang, Yingying Wang, Ran Chen, Tairan Xu   +6 more
doaj   +1 more source

Optimizing PPP Performance by Incorporating ZWD Constraints Derived From Data Assimilation

Earth and Space Science, Volume 12, Issue 8, August 2025.
Abstract One of the primary error sources limiting the performance of the Precise Point Positioning (PPP) technique is the atmospheric wet delay, caused by the presence of water vapor in the lower atmosphere. Accurately representing this parameter is crucial for improving the initialization and accuracy of satellite‐based positioning techniques ...
Masoud Dehvari, Saeed Farzaneh, Ehsan Forootan   +2 more
wiley   +1 more source

SHAtropE—A Regional Gridded ZTD Model for China and the Surrounding Areas

Remote Sensing, 2020
A regional zenith tropospheric delay (ZTD) empirical model, referred to as SHAtropE (SHanghai Astronomical observatory tropospheric delay model—Extended), is developed and provides tropospheric propagation delay corrections for users in China and ...
Junping Chen, Jungang Wang, Ahao Wang, Junsheng Ding, Yize Zhang   +4 more
doaj   +1 more source

Artificial Intelligence on Campus: Revisiting Understanding as an Aim of Higher Education

Educational Theory, Volume 75, Issue 4, Page 603-625, August 2025.
Abstract The launch of the powerful generative AI tool ChatGPT in November 2022 sparked a wave of fear across higher education. The tool could seemingly be used to write essays and do other work without students putting in the effort expected of them. In this paper, Jamie Herman and Henry Lara‐Steidel posit a way of addressing the concerns over ChatGPT
Jamie Herman, Henry Lara‐Steidel
wiley   +1 more source