Results 41 to 50 of about 80,052 (216)

Towards an Applicability of Current Network Forensics for Cloud Networks: A SWOT Analysis

IEEE Access, 2016
In recent years, the migration of the computational workload to computational clouds has attracted intruders to target and exploit cloud networks internally and externally. The investigation of such hazardous network attacks in the cloud network requires
Suleman Khan, Abdullah Gani, Ainuddin Wahid Abdul Wahab, Salman Iqbal, Ahmed Abdelaziz, Omar Adil Mahdi, Abdelmuttlib Ibrahim Abdallaahmed, Muhammad Shiraz, Yusor Rafid Bahar Al-Mayouf, Ziar Khan, Kwangman Ko, Muhammad Khurram Khan, Victor Chang   +12 more
doaj   +1 more source

Capacity Management of Hyperscale Data Centers Using Predictive Modelling

Energies, 2019
Big Data applications have become increasingly popular with the emergence of cloud computing and the explosion of artificial intelligence. The increasing adoption of data-intensive machines and services is driving the need for more power to keep the data
Raihan Ul Islam, Xhesika Ruci, Mohammad Shahadat Hossain, Karl Andersson, Ah-Lian Kor   +4 more
doaj   +1 more source

Green Communication for Underwater Wireless Sensor Networks: Triangle Metric Based Multi-Layered Routing Protocol

Sensors, 2020
In this paper, we propose a non-localization routing protocol for underwater wireless sensor networks (UWSNs), namely, the triangle metric based multi-layered routing protocol (TM2RP).
Ahmad M. Khasawneh, Omprakash Kaiwartya, Jaime Lloret, Hayfa Y. Abuaddous, Laith Abualigah, Mohammad Al Shinwan, Mahmoud Ahmad Al-Khasawneh, Marwan Mahmoud, Rupak Kharel   +8 more
doaj   +1 more source

Fed-NTP: A Federated Learning Algorithm for Network Traffic Prediction in VANET

IEEE Access, 2022
During the last years, the volume of data produced in smart cities has been growing up, which can cause network traffic. Some of the challenges in an Intelligent Transportation System (ITS) are predicting the network traffic with the highest accuracy ...
Sanaz Shaker Sepasgozar, Samuel Pierre
doaj   +1 more source

Study on Deep Learning Model for Online Estimation of Chlorophyll Content Based on Near Ground Multispectral Feature Bands

IEEE Access, 2022
Chlorophyll content in plant leaves is an essential indicator of the crop growth status. This study focuses on nondestructive estimation of the chlorophyll content of maize using near ground multispectral data.
Jiaxing Gao, Zhibin Zhang
doaj   +1 more source

Benign and malignant diagnosis of spinal tumors based on deep learning and weighted fusion framework on MRI

Insights into Imaging, 2022
Background The application of deep learning has allowed significant progress in medical imaging. However, few studies have focused on the diagnosis of benign and malignant spinal tumors using medical imaging and age information at the patient level. This
Hong Liu, Menglei Jiao, Yuan Yuan, Hanqiang Ouyang, Jianfang Liu, Yuan Li, Chunjie Wang, Ning Lang, Yueliang Qian, Liang Jiang, Huishu Yuan, Xiangdong Wang   +11 more
doaj   +1 more source

Network Traffic Prediction Model Considering Road Traffic Parameters Using Artificial Intelligence Methods in VANET

IEEE Access, 2022
Vehicular Ad hoc Networks (VANETs) are established on vehicles that are intelligent and can have Vehicle-to-Vehicle (V2V) and Vehicle-to-Road Side Units (V2R) communications. In this paper, we propose a model for predicting network traffic by considering
Sanaz Shaker Sepasgozar, Samuel Pierre
doaj   +1 more source

Multi-Mobile Computing

, 2020
With mobile systems evermore ubiquitous, individual users often own multiple mobile systems and groups of users often have many mobile systems at their disposal. As a result, there is a growing demand for multi-mobile computing, the ability to combine the functionality of multiple mobile systems into a more capable one.
openaire   +3 more sources

The challenges of mobile computing [PDF]

Computer, 1994
The technical challenges that mobile computing must surmount to achieve its potential are hardly trivial. Some of the challenges in designing software for mobile computing systems are quite different from those involved in the design of software for today's stationary networked systems.
John Zahorjan, George Forman
openaire   +2 more sources

A Research on Mobile Cloud Computing and Future Trends [PDF]

EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, 2016
With an exploding growth of the mobile applications and emerging of cloud computing, mobile cloud computing (MCC) has become a potential technology for mobile services.
Fei Gu, Jianwei Niu, Zhenxue He
doaj   +1 more source