تصفح Computer Science & Engineering حسب العنوان
السجلات المعروضة 1065 -- 1084 من 2429
-
Fast Prototyping of KNN Based Gas Discrimination System on the Zynq SoC
( Hamad bin Khalifa University Press (HBKU Press) , 2016 , Conference)Electronic noses (EN) or machine olfaction are systems used for the detection and identification of odorous compounds and gas mixtures. The accuracy of such systems is as important as the processing time. Therefore, the ... -
Fast, Reliable, and Secure Drone Communication: A Comprehensive Survey
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Drone security is currently a major topic of discussion among researchers and industrialists. Although there are multiple applications of drones, if the security challenges are not anticipated and required architectural ... -
FastRNABindR: Fast and Accurate Prediction of Protein-RNA Interface Residues
( Public Library of Science (PLoS) , 2016 , Article)A wide range of biological processes, including regulation of gene expression, protein synthesis, and replication and assembly of many viruses are mediated by RNA-protein interactions. However, experimental determination ... -
Fault and performance management in multi-cloud based NFV using shallow and deep predictive structures
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference)Deployment of Network Function Virtualization (NFV) over multiple clouds accentuates its advantages like flexibility of virtualization, proximity to customers and lower total cost of operation. However, NFV over multiple ... -
Fault and performance management in multi-cloud based NFV using shallow and deep predictive structures
( Springer , 2017 , Article)Deployment of network function virtualization (NFV) over multiple clouds accentuates its advantages such as flexibility of virtualization, proximity to customers and lower total cost of operation. However, NFV over multiple ... -
Fault and performance management in multi-cloud virtual network services using AI: A tutorial and a case study
( Elsevier B.V. , 2019 , Article)Carriers find Network Function Virtualization (NFV) and multi-cloud computing a potent combination for deploying their network services. The resulting virtual network services (VNS) offer great flexibility and cost advantages ... -
Fault Detection, Isolation, and Service Restoration in Distribution Systems: State-of-the-Art and Future Trends
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Article)This paper surveys the conceptual aspects, as well as recent developments in fault detection, isolation, and service restoration (FDIR) following an outage in an electric distribution system. This paper starts with a ... -
Fault diagnosis based on deep learning for current-carrying ring of catenary system in sustainable railway transportation
( Elsevier Ltd , 2021 , Article)In the intelligent traffic transportation, the security and stability are vital for the sustainable transportation and efficient logistics. The fault diagnosis on the catenary system is crucial for the railway transportation. ... -
Fault tolerant approach for verified software: Case of natural gas purification simulator
(2013 , Conference)Well logically verified and tested software may fail because of undesired physical phenomena provoking transient faults during its execution. While being the most frequent kind of faults, transient faults are difficult to ... -
FBIA: A Fog-Based Identity Authentication Scheme for Privacy Preservation in Internet of Vehicles
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)In recent years, the Internet of vehicles (IoV) has become an indispensable part of wireless communication. To protect users' privacy and communication security, an increasing number of scholars have focused on studying ... -
Feasibility Evaluation of Mixed Reality Obstacles on Treadmill using HoloLens to Elicit Real Obstacle Negotiation
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference)An ability of visually-guided and anticipatory adjustments of locomotion corresponding to upcoming obstacles is important to avoid trip-induced fall. For establishing gait training based on visually-guided and anticipatory ... -
Feasibility of Supervised Machine Learning for Cloud Security
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference)Cloud computing is gaining significant attention, however, security is the biggest hurdle in its wide acceptance. Users of cloud services are under constant fear of data loss, security threats and availability issues. ... -
Feature fusion based on joint sparse representations and wavelets for multiview classification
( Springer Science and Business Media Deutschland GmbH , 2022 , Article)Feature-level-based fusion has attracted much interest. Generally, a dataset can be created in different views, features, or modalities. To improve the classification rate, local information is shared among different views ... -
Feature selection for effective health index diagnoses of power transformers
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Article)This letter investigates an approach based on feature selection and classification techniques to reduce assessment complexities of power transformers. This approach decreases the number of features by extracting the most ... -
Federated Deep Actor-Critic-Based Task Offloading in Air-Ground Electricity IoT
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference)The integration of air-ground electricity internet of things (AGE-IoT) and machine learning, enables flexible network coverage and intelligent task offloading. However, dynamics of AGE-IoT networks, incomplete information, ... -
Federated Learning and Autonomous UAVs for Hazardous Zone Detection and AQI Prediction in IoT Environment
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Air pollution monitoring, finding the hazardous zone, and future air quality predictions have recently become a significant issue for many researchers. With the adverse effect of low air quality on human health, it has ... -
Federated Learning for Energy-balanced Client Selection in Mobile Edge Computing
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference)Mobile edge computing (MEC) has been considered as a promising technology to provide seamless integration of multiple application services. Federated learning (FL) is carried out at edge clients in MEC for privacy-preserving ... -
Federated Learning Meets Human Emotions: A Decentralized Framework for Human-Computer Interaction for IoT Applications
( IEEE Internet of Things Journal , 2021 , Article)As stated by Spock, 'change is the essential process of all existence,' which is reflected in everyday applications in our daily lives. We, as humans, just need to find a way to make the best use of the current technological ... -
Federated Learning over Energy Harvesting Wireless Networks
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)In this article, the deployment of federated learning (FL) is investigated in an energy harvesting wireless network in which the base stations (BSs) employs massive multiple-input-multiple-output (MIMO) to serve a set of ... -
Federated Learning Stability Under Byzantine Attacks
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference)Federated Learning (FL) is a machine learning approach that enables private and decentralized model training. Although FL has been shown to be very useful in several applications, its privacy constraints cause a lack of ...
