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Feasibility Of Oil Recovery By Polymer/Alkaline Flooding Through Horizontal Well
( Qatar University , 2000 , Article)A laboratory study on Saudi oil recovery by polymer/alkaline flooding from a horizontal well in a scaled quarter five-spot model was conducted. Safaniya crude oil, obtained from Safaniya oil field operated by Saudi Aramco, ... -
Feasibility of recycling waste carbon black in cement mortar production: Environmental life cycle assessment and performance evaluation
( Elsevier , 2021 , Article)The feasibility of recycling waste carbon black (WCB) that comes as a byproduct from aluminum industry in cementitious composites production is examined in this research. Experimental work combined with environmental life ... -
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 ... -
Feasibility Of Wind Energy Utilization In Qatar*
( Qatar University , 2002 , Article)This work presents an assessment of the potential and economical feasibility of adopting wind energy as a renewable source of energy in Qatar. An analysis is presented for the long term measured wind speed (1976-1989) at ... -
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 instructions improve face-matching accuracy
( Public Library of Science , 2018 , Article)Identity comparisons of photographs of unfamiliar faces are prone to error but important for applied settings, such as person identification at passport control. Finding techniques to improve face-matching accuracy is ... -
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 ... -
Feature-by-feature comparison and holistic processing in unfamiliar face matching
( PeerJ Inc. , 2018 , Article)Identity comparisons of photographs of unfamiliar faces are prone to error but imperative for security settings, such as the verification of face identities at passport control. Therefore, finding techniques to improve ... -
Features Ranking Techniques for Single Nucleotide Polymorphism Data
(2017 , Master Thesis)Identifying biomarkers like single nucleotide polymorphisms (SNPs) is an important topic in biomedical applications. Such SNPs can be associated with an individual’s metabolism of drugs, which make these SNPs targets for ... -
Features-Based IoT Security Authentication Framework Using Statistical Aggregation, Entropy, and MOORA Approaches
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)The Internet of Thing (IoT) is one of the most imperative technology for all organizations that's play a vital role in many operations, using communication networks, for exchange of data in order to perform a useful task. ... -
A Features-Based Privacy Preserving Assessment Model for Authentication of Internet of Medical Things (IoMT) Devices in Healthcare
( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)Internet of Things (IoT) devices have drawn significant attention over the last few years due to their significant contribution to every domain of life, but the major application of these devices has been witnessed in the ... -
Fecal Carriage and Molecular Characterization of Carbapenemase-Producing Enterobacterales in the Pediatric Population in Qatar
( American Society for Microbiology , 2021 , Article)Whole-genome sequencing was used to characterize carbapenemase-producing Enterobacterales (CPE) strains recovered from rectal screening swab samples obtained from children at a tertiary-care pediatric hospital in Qatar ... -
The fecundity of gerres oyena forskal 1775, ( fam. Gerreidae) in the qatari waters of the arabian gulf
( Qatar University , 1986 , Article)Fecundity estimates were made on a total of 180 mature fish Genes oyena Forskal of different lengths and weights, collected during the early spring of 1985. Log-log relationships were estimated between fecundity (either ... -
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, ...