Results 31 to 40 of about 316,511 (219)

Research on path planning in UAV-assisted emergency communication

EURASIP Journal on Wireless Communications and Networking
The rapid development of UAV communication technology makes it have application potential in wireless systems. However, for the optimization problem of UAV base station providing communication for ground personnel in the disaster area under special ...
Xiandeng Yang, Chao Wang, Jiakai Liang, Jinduo Zhao, Keqiang Yue, Wenjun Li   +5 more
doaj   +1 more source

A new flow chip in combination with multiphoton microscopy as a protocol for longitudinal 3D imaging of tissue calcification under shear stress

FEBS Open Bio, EarlyView.
Miniaturized flow chip platform enabling continuous perfusion and longitudinal multiphoton 3D imaging of vascular smooth muscle cell constructs under physiological flow. Brightfield imaging guides region selection, while CellTracker Green and mRuby‐labeled fetuin‐A visualize cells and mineral deposition, respectively. Magnesium supplementation markedly
Vytautas Kučikas, Aaron D. Morgan, Ignas Čiurlionis, Christian Böhm, Stefan Jockenhövel, Willi Jahnen‐Dechent, Marc A. M. J. van Zandvoort   +6 more
wiley   +1 more source

A Trustworthy Classification Model for Intelligent Building Fire Risk

IEEE Access, 2022
The occurrence of intelligent building fires causes huge economic losses to the country and society, and even people’s safety. It is necessary to accurately assess the degree of intelligent building fire risk so that the fire emergency management ...
Weilin Wu, Yixiang Chen
doaj   +1 more source

Comparative assessment of crystallographic and cryo‐EM models in the Protein Data Bank

FEBS Open Bio, EarlyView.
Raw data obtained by X‐ray crystallography or cryo‐EM result in experimental maps, ultimately fitted by atomic models. Although the physical principles are different, the final results can be viewed, compared, and evaluated in the same way. With cryogenic electron microscopy (cryo‐EM) on track to surpass X‐ray crystallography as the preferred method ...
Alexander Wlodawer, Pawel Rubach, Zbigniew Dauter, Wojciech Dec, Dariusz Brzezinski, Marta Kulik, Wladek Minor, Mariusz Jaskolski   +7 more
wiley   +1 more source

Multi-Component Temporal-Correlation Seismic Data Compression Algorithm Based on the PCA and DWT

Algorithms
Industrial application data acquisition systems can be sources of vast amounts of data. The seismic surveys conducted by oil and gas companies result in enormous datasets, often exceeding terabytes of data.
Mateus Martinez de Lucena, Josafat Leal Ribeiro, Matheus Wagner, Antônio Augusto Fröhlich   +3 more
doaj   +1 more source

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

Arthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos, José Miguel Sequí‐Sabater, Diego Benavent   +2 more
wiley   +1 more source

Machine Learning for Real-Time Fuel Consumption Prediction and Driving Profile Classification Based on ECU Data

IEEE Access
Data extracted directly from a vehicle’s electronic control unit (ECU) play a crucial role in the automotive industry because they contain valuable information from the engine and electronic parts.
Rafael Canal, Felipe K. Riffel, Giovani Gracioli   +2 more
doaj   +1 more source

Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane, Salama Makni, Mourad Kchaou, Ahmed El Hajjaji   +3 more
wiley   +1 more source

A knowledge distillation strategy for enhancing the adversarial robustness of lightweight automatic modulation classification models

IET Communications
Automatic modulation classification models based on deep learning models are at risk of being interfered by adversarial attacks. In an adversarial attack, the attacker causes the classification model to misclassify the received signal by adding carefully
Fanghao Xu, Chao Wang, Jiakai Liang, Chenyang Zuo, Keqiang Yue, Wenjun Li   +5 more
doaj   +1 more source

Secure, Robust and Flexible Cooperative Downloading Scheme for Highway VANETs

IEEE Access, 2021
The increasing popularity of smart vehicles and vehicular ad hoc networks (VANETs) has reinforced the importance of Internet connectivity. However, existing solutions (e.g., those based on cooperative downloading via drive-thru Internet) have a number of
Yan Zhang, Lei Zhang, Dingkai Ni, Kim-Kwang Raymond Choo, Burong Kang   +4 more
doaj   +1 more source