Browsing Computer Science & Engineering by Title
Now showing items 949-968 of 2129
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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 Paper)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 of Supervised Machine Learning for Cloud Security
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)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 Paper)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 Paper)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 Paper)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 ... -
FEDGAN-IDS: Privacy-preserving IDS using GAN and Federated Learning
( Elsevier , 2022 , Article)Federated Learning (FL) is a promising distributed training model that aims to minimize the data sharing to enhance privacy and performance. FL requires sufficient and diverse training data to build efficient models. Lack ... -
Field data forecasting using lstm and bi-lstm approaches
( MDPI , 2021 , Article)Water, an essential resource for crop production, is becoming increasingly scarce, while cropland continues to expand due to the world's population growth. Proper irrigation scheduling has been shown to help farmers improve ... -
Financial events detection by conceptual news categorization
( IEEE , 2010 , Conference Paper)In the scope of Financial Watch project, several targeted events have been required by contacted users in banking and investment domains. Financial news are classified with respect of the list of desired events. In this ... -
Finding Behavioural and Imaging Biomarkers of Major Depressive Disorder (MDD) using Artificial Intelligence: A Review
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Major Depressive Disorder (MDD) is a serious ailment in mental health and is a medical illness that has a debilitating impact on a person's ability to think effectively. According to the World Health Organization (WHO), ... -
Flexible advance reservation models for virtual network scheduling
( IEEE Computer Society , 2015 , Conference Paper)Advance reservation services allows users to pre-reserve network resources at future instants in time. These offerings are already being used by a wide range of applications in scientific/grid computing, datacenter backup, ... -
Flexible hardware-managed isolated execution: Architecture, software support and applications
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Article)We consider the problem of how to provide an execution environment where the application's secrets are safe even in the presence of malicious system software layers. We propose Iso-X- A flexible, fine-grained hardware-supported ... -
Flipping introductory programming class: Potentials, challenges, and research gaps
( Association for Computing Machinery , 2018 , Conference Paper)This paper discusses the suitability of adopting flipped classroom model as instructional method to teach introductory computer programming courses at higher education. It explores how the potentials of this model can be ... -
Flying Social Networks: Architecture, Challenges and Open Issues
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)This article presents a flying social network (FSN), which is a kind of flying ad hoc network (FANET) that implies human attributes and relationships. By the accurate analyzed social relationship of unmanned aerial vehicle ...
