Browsing College of Engineering by Title
Now showing items 3529-3548 of 8222
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Feasibility Evaluation of Mixed Reality Obstacles on Treadmill using HoloLens to Elicit Real Obstacle Negotiation
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)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 air quality monitoring systems based on environmental energy harvesting
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)Capillary wireless sensor networks dedicated to air quality monitoring have provided essential information on hazardous air condition, generating early warnings to prevent danger situation for human health. The arising ... -
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. ... -
Feasibility of tracking involuntary head movement for MRI using a coil as a magnetic dipole in a time-varying gradient
( Elsevier , 2023 , Article)Accurate tracking involuntary head movements is fairly a challenging problem in MR imaging of the brain. Though there are few techniques available to monitor the head movement of the subject for a prospective motion ... -
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 ... -
Feature synthesis for image classification and retrieval via one-against-all perceptrons
( Springer London , 2018 , Article)Most existing content-based image retrieval and classification systems rely on low-level features which are automatically extracted from images. However, often these features lack the discrimination power needed for accurate ... -
Feature-Based Cardiac Cycle Segmentation in Phonocardiogram Recordings
( IEEE Computer Society , 2018 , Conference Paper)Phonocardiogram (PCG) conveys crucial information for cardiac health evaluation in ambulatory care and is an essential diagnostic test for heart assessment. Thus, identification and positioning of the first and second heart ... -
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 for UAV Swarms under Class Imbalance and Power Consumption Constraints
( IEEE , 2021 , Conference Paper)The usage of unmanned aerial vehicles (UAVs) in civil and military applications continues to increase due to the numerous advantages that they provide over conventional approaches. Despite the abundance of such advantages, ... -
Federated Learning in NOMA Networks: Convergence, Energy and Fairness-Based Design
( IEEE , 2022 , Conference Paper)Federated Learning (FL) is a collaborative machine learning (ML) approach, where different nodes in a network contribute to learning the model parameters. In addition, FL provides several attractive features such as data ... -
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 ... -
Federated Learning with Kalman Filter for Intrusion Detection in IoT Environment
( IEEE , 2024 , Conference Paper)Enhancing the IoT (Internet of Things) network for reliability prompted a heightened focus on device security, given their diverse characteristics and sensitive data exchange. Federated Learning (FL) gained attention for ... -
Federating Learning Attacks: Maximizing Damage while Evading Detection
( IEEE , 2023 , Conference Paper)Despite its potential benefits, Federated learning (FL) is vulnerable to various types of attacks that can compromise the accuracy and security of the trained model. While several defense mechanisms have been proposed to ... -
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 ... -
Fenton oxidation for soil remediation: A critical review of observations in historically contaminated soils
( Elsevier B.V. , 2022 , Article Review)Fenton-based treatments have received tremendous attention in recent decades as viable strategies for soil decontamination. Historically contaminated soils are characterized by particular contamination types, pollution ...