Results 81 to 90 of about 450,696 (366)

Mobile learning evolution and emerging computing paradigms: An edge-based cloud architecture for reduced latencies and quick response time

Array, 2022
The emerging computing paradigms like mobile cloud, mobile edge computing, fog computing, AI, and 5G provide the scope to advance mobile learning (m-learning) performances across educational disciplines.
Khalid Mohiuddin, Huda Fatima, Mohiuddin Ali Khan, Mohammad Abdul Khaleel, Osman A. Nasr, Samreen Shahwar   +5 more
doaj  

Immersion on the Edge: A Cooperative Framework for Mobile Immersive Computing

, 2018
Immersive computing (IC) technologies such as virtual reality and augmented reality are gaining tremendous popularity. In this poster, we present CoIC, a Cooperative framework for mobile Immersive Computing.
Cui, Yong, Hu, Xiaoyu, Lai, Zeqi, Wang, Ziyi   +3 more
core   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source

An improved approach to organising mobile edge computing in a 5G network

Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï
Mobile edge computing is an important element in ensuring the efficiency of the 5G network as a whole, as it enables data storage and computing at the network edge.
Андрій Астраханцев, Лариса Глоба, Олександр Федоров, Дмитро Дегтярьов, Євген Романко, Кирило Романій   +5 more
doaj   +1 more source

Implementing Practical DNN-Based Object Detection Offloading Decision for Maximizing Detection Performance of Mobile Edge Devices

IEEE Access, 2021
In the last decade, deep neural network (DNN)-based object detection technologies have received significant attention as a promising solution to implement a variety of image understanding and video analysis applications on mobile edge devices.
Giha Yoon, Geun-Yong Kim, Hark Yoo, Sung Chang Kim, Ryangsoo Kim   +4 more
doaj   +1 more source

Combining edge and cloud computing for mobility analytics

, 2017
Mobility analytics using data generated from the Internet of Mobile Things (IoMT) is facing many challenges which range from the ingestion of data streams coming from a vast number of fog nodes and IoMT devices to avoiding overflowing the cloud with ...
Cao, Hung, Hernandez, Lilian, Maduako, Ikechukwu, Wachowicz, Monica   +3 more
core   +1 more source

Targeting RAGE with Nanobodies for Molecular Imaging of Cancers and Alzheimer's Disease

Advanced Biology, EarlyView.
RAGE‐specific nanobodies were isolated via phage display and characterized by ELISA, cell ELISA, and SPR. In vivo imaging in renal carcinoma and Alzheimer's disease mouse models demonstrated that NbF8, the highest‐affinity clone, selectively targeted RAGE‐overexpressing tumors and brain tissues, highlighting its potential as a molecular imaging agent ...
Guangfeng Liang, Fujing Wang, Wei Xiong, Guangwei Shi, Junling Yuan, Yang Li, Hongyan Zhang, Yanmei Xing, Shan Jin, Kongjun Yang, Zhongliang Dai, Jichao Sun, Zhijie Li, Jianhong Wang   +13 more
wiley   +1 more source

Consolidate Overview of Ribonucleic Acid Molecular Dynamics: From Molecular Movements to Material Innovations

Advanced Engineering Materials, EarlyView.
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley   +1 more source

Edge computing technologies for Internet of Things: a primer

Digital Communications and Networks, 2018
With the rapid development of mobile internet and Internet of Things applications, the conventional centralized cloud computing is encountering severe challenges, such as high latency, low Spectral Efficiency (SE), and non-adaptive machine type of ...
Yuan Ai, Mugen Peng, Kecheng Zhang
doaj  

Dynamic visual SLAM and MEC technologies for B5G: a comprehensive review

EURASIP Journal on Wireless Communications and Networking, 2022
In recent years, dynamic visual SLAM techniques have been widely used in autonomous navigation, augmented reality, and virtual reality. However, the increasing demand for computational resources by SLAM techniques limits its application on resource ...
Jiansheng Peng, Yaru Hou, Hengming Xu, Taotao Li   +3 more
doaj   +1 more source