تصفح Academic حسب العنوان
السجلات المعروضة 5583 -- 5602 من 26493
-
Deep behavioral impairment in the pearl oyster Pinctada radiata exposed to anthropogenic noise and light stress
( Frontiers Media SA , 2023 , Article)The pearl oyster Pinctada radiata is an iconic species in the Arabian Gulf, which is one of the ecosystems most at risk in the world because of the multiple sources of pollution it faces. Alongside chemical pollution, the ... -
Deep Churn Prediction Method for Telecommunication Industry
( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)Being able to predict the churn rate is the key to success for the telecommunication industry. It is also important for the telecommunication industry to obtain a high profit. Thus, the challenge is to predict the churn ... -
Deep CNN-Based real-time traffic light detector for self-driving vehicles
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Due to the unavailability of Vehicle-to-Infrastructure (V2I) communication in current transportation systems, Traffic Light Detection (TLD) is still considered an important module in autonomous vehicles and Driver Assistance ... -
Deep ConvNets for COVID-19 Recognition from Chest X-Rays
(2021 , Master Thesis)Coronavirus disease 2019 (COVID-19) is an extremely contagious and quickly spreading Coronavirus infestation. Severe Acute Respiratory Syndrome (SARS)-CoV and Middle East Respiratory Syndrome (MERS)-CoV, which outbreak in ... -
Deep dentine caries management of immature permanent posterior teeth with vital pulp: A systematic review and meta-analysis
( Elsevier Ltd , 2022 , Article Review)Objectives: Preservation of pulpal vitality in immature permanent teeth with deep carious lesions is essential to enable further root development and apical closure. This systematic review aimed to evaluate the evidence ... -
Deep drawability and deformation behavior of AZ31 magnesium alloy sheets at 473K
( Elsevier B.V. , 2014 , Article)Deep drawing experiments carried out at 473. K revealed that the AZ31 magnesium alloy sheets could be successfully drawn at a limiting drawing ratio (LDR) of 2.3 with a drawn depth of 54. mm. Microstructural and textural ... -
Deep drawability and drawing behaviour of AZ31 alloy sheets with different initial texture
( Elsevier Ltd , 2014 , Article)Repeated unidirectional bending (RUB) process was carried out to improve the texture of AZ31 alloy sheets. Compared to the as-received sheet with a strong basal texture, the RUB processed sheet with a weaker basal texture ... -
DEEP EUTECTIC SOLVENT FOR CO2 CAPTURE: CHOLINIUM CHLORIDE WITH PHENYLACETIC ACID SYSTEM
(2017 , Master Thesis)Global warming is one of the most pressing challenges that face societies these days. As result, worldwide public attention has risen due to the serious greenhouse gas effect, which causes detrimental environmental effects ... -
Deep eutectic solvents as alternative green solvents for the efficient desulfurization of liquid fuel: A comprehensive review
( Elsevier , 2021 , Article Review)Increase in the requirement of energy consumption has been followed by a consistent rise in sulfur emission with economic and health issues. Moreover, it considerably decreases the efficacy of developed emission control ... -
Deep eutectic solvents on the surface of face centered cubic metals
( American Chemical Society , 2016 , Article)The properties of the deep eutectic solvent based on choline chloride and levulinic acid, for 1:2 molar ratio, on the (100) surfaces of metals with face centered cubic crystal structures (Ag, Al, and Pt) are studied using ... -
Deep eutectic solvents-based CNT nanofluid - A potential alternative to conventional heat transfer fluids
( Taiwan Institute of Chemical Engineers , 2021 , Article)We investigated Deep eutectic solvents (DES) in this study as a potential substitute for conventional heat transfer fluids. Methyl-triphenylphosphonium-bromide (MTPB) and choline chloride (ChCl) as the hydrogen bond acceptors ... -
Deep Federated Learning for IoT-based Decentralized Healthcare Systems
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)Recent trends in the healthcare industry, such as the use of wearable IoT for continuous health monitoring, are setting new requirements for healthcare systems that boost data analysis. These systems should support ... -
Deep learning and cultural heritage: The CEPROQHA project case study
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)Cultural heritage takes an important part of the history of humankind as it is one of the most powerful tools for the transfer and preservation of moral identity. As a result, these cultural assets are considered highly ... -
Deep learning and low rank dictionary model for mHealth data classification
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)In the context of mobile Health (mHealth) applications, data are prone to several sources of contamination which would lead to false interpretation and misleading classification results. In this paper, a robust deep learning ... -
Deep learning approach for EEG compression in mHealth system
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)The emergence of mobile health (mHealth) systems has risen the challenges and concerns due to the sensitivity of the data involved in such systems. It is essential to ensure that these data are well delivered to the health ... -
A Deep Learning Approach for Vital Signs Compression and Energy Efficient Delivery in mhealth Systems
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Article)© 2013 IEEE. Due to the increasing number of chronic disease patients, continuous health monitoring has become the top priority for health-care providers and has posed a major stimulus for the development of scalable and ... -
Deep Learning Assisted Automated Assessment of Thalassaemia from Haemoglobin Electrophoresis Images
( MDPI , 2022 , Article)Haemoglobin (Hb) electrophoresis is a method of blood testing used to detect thalassaemia. However, the interpretation of the result of the electrophoresis test itself is a complex task. Expert haematologists, specifically ... -
Deep Learning Based Approach For Prediction Of Cloud Resource Needs
(2018 , Professional Masters Project)Cloud computing allows scaling applications to serve dynamic and time-varying workloads and to avoid application performance degradation, while keeping low provisioning costs. But, resource demand of applications need to ... -
A Deep Learning Based Approach To Detect Covert Channels Attacks and Anomaly In New Generation Internet Protocol IPv6
(2020 , Master Thesis)The increased dependence of internet-based technologies in all facets of life challenges the government and policymakers with the need for effective shield mechanism against passive and active violations. Following up ... -
Deep learning based classification of unsegmented phonocardiogram spectrograms leveraging transfer learning
( IOP Publishing Ltd , 2021 , Article)Objective. Cardiovascular diseases (CVDs) are a main cause of deaths all over the world. This research focuses on computer-aided analysis of phonocardiogram (PCG) signals based on deep learning that can enable improved and ...
