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Quantifying Arctic lower stratospheric ozone sources in winter and spring

Scientific Reports, 2018
The dynamical and chemical characteristics of unusually low Arctic ozone events in 2005 and 2011 have been well-studied. However, the quantitative identification of Arctic ozone sources is lacking.
Chen Pan, Bin Zhu, Jinhui Gao, Xuewei Hou, Hanqing Kang, Dongdong Wang   +5 more
doaj   +1 more source

Next app prediction based on graph neural networks and self-attention enhancement

Scientific Reports
Next mobile app prediction aims to recommend the apps that users will most likely to use next based on their historical usage behavior. It is critical for optimizing app preloading strategies and personalized recommendations, enhancing the user ...
Junxin Chen, Zhiqiong Liu, Jing Liu, Wang Li, Chang Wang   +4 more
doaj   +1 more source

Directed Acyclic Graph-Based Blockchain Performance Analysis and Its Secure Operation in Opportunistic Networks

IET Software
Directed acyclic graph (DAG)-based blockchain is a promising paradigm of a blockchain system. During DAG-based consensus processes, nodes generate blocks in parallel, as well as voting YES on the previous blocks.
Ruilin Lai, Gansen Zhao, Zhihao Hou, Qizhi Zhang, Junjie Zhou, Yale He   +5 more
doaj   +1 more source

Efficient LLMs Training and Inference: An Introduction

IEEE Access
ChatGPT was released in late November 2022, making a significant impact globally. Following this release, numerous domestic and international open-source projects for large model training emerged, including Alpaca, BOOLM, LLaMA, ChatGLM, DeepSpeedChat ...
Rui Li, Deji Fu, Chunyu Shi, Zhilan Huang, Gang Lu   +4 more
doaj   +1 more source

Cloud technologies for educational institutions

CTE Workshop Proceedings, 2015
Research goals: research cloud solutions that offer educational institutions leading providers in the cloud. Research objectives: to examine the pros and cons of cloud-based tools for use in the educational process of universities.
A. P. Martynenko
doaj   +1 more source

On the experience of the implementation of cloud computing in the Donbass State Engineering Academy

CTE Workshop Proceedings, 2015
The purpose and objectives of the article are to describe the experience of a real implementation of cloud technologies on the example of a particular institution of higher education.
A. Y. Melnikov
doaj   +1 more source

A multi-step day-ahead wind power forecasting based on VMD-LSTM-EFG-ABC technique

Energy Informatics
Accurate and robust wind power prediction for wind farms could significantly decrease the substantial effect on grid operating safety caused by integrating high-permeability intermittent power supplies into the power grid.
Shobanadevi Ayyavu, Md Shohel Sayeed, Siti Fatimah Abdul Razak   +2 more
doaj   +1 more source

Domestic experience designing cloud-based learning environment for educational institutions

CTE Workshop Proceedings, 2014
The aim of this study is analysis of theoretical approaches to designing cloud-based learning environment (CBLE) for local educational institutions. Objectives of the study is to analyze research scientists, studying the experience of designing CBLE ...
T. A. Vakaliuk
doaj   +1 more source

Deep learning and IoT enabled digital twin framework for monitoring open-pit coal mines

Frontiers in Energy Research, 2023
Early detection of cracks enables timely mitigation and maintenance actions, ensuring the safety of personnel and equipment within the open-pit coal mine.
Rui Yu, Xiuyu Yang, Kai Cheng
doaj   +1 more source

A hybrid deep learning framework for acoustic pest detection

Discover Artificial Intelligence
The Food and Agriculture Organization (FAO) estimates that pests cause up to 40% of the world's crop production to be lost each year. Therefore, timely crop pest detection is essential for sustainable agriculture, yet it is still difficult in large ...
Md. Akkas Ali, Md Shohel Sayeed, Siti Fatimah Abdul Razak   +2 more
doaj   +1 more source