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السجلات المعروضة 2166 -- 2185 من 7912
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DCNN-GA: A Deep Neural Net Architecture for Navigation of UAV in Indoor Environment
(2021 , Article)The applications of unmanned aerial vehicles (UAVs) in military, intelligent transportation, agriculture, rescue operations, natural environment mapping, and many other allied domains has increased exponentially during the ... -
DDPG Performance in THz Communications over Cascaded RISs: A Machine Learning Solution to the Over-Determined System
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)THz technology is considered a key element in 6G wireless communication because it provides ultra-high bandwidths, considerable capacities, and significant gains. However, wireless systems operating at high frequencies are ... -
Deadbeat control of Z source inverter with voltage ride-through capability
( IEEE , 2013 , Conference Paper)This paper presents a Z source inverter connected to grid. The effect of voltage sags on ZSI will be studied when two different ac side control schemes are used. The paper compares the performance of both PI control and ... -
Deadbeat control with multi-sampling compensation for medium-voltage motor drives by cascaded multi-cell inverter using FPGA based hardware controller
( IEEE , 2011 , Conference Paper)Multi-cell inverter include an array of single-phase inverters capable of handling higher voltage ratings with lower rating power electronics devices. In this paper, a deadbeat control combined with a multi-sampling ... -
Deadbeat current control of qZS based grid-connected multilevel inverter
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)This paper proposes a Current Deadbeat Control (DBC) algorithm for a three-phase 9-cells qZS based Cascaded H-Bridge (CHB) inverter to ensure grid current supply with low THD. The studied topology is considered as a ... -
Decentralized ciphertext-policy attribute-based encryption schemes for lightweight devices
( Elsevier B.V. , 2019 , Article)In a traditional attribute-based encryption (ABE) system, there is only one central authority who generates and hence knows the secret keys of all users, this problem is known as the key escrow problem. An ABE scheme which ... -
Decentralized multiuser diversity with opportunistic packet transmission in MIMO wireless sensor networks
( Elsevier , 2013 , Article)In this study, we consider a single-hop wireless sensor network where both the sensor nodes and the controller node have multiple antennas. We focus on single beam opportunistic communication and propose a threshold-based ... -
Decentralized throughput maximization in cognitive radio wireless mesh networks
( Institute of Electrical and Electronics Engineers Inc. , 2014 , Article)Scheduling and spectrum allocation are tasks affecting the performance of cognitive radio wireless networks, where heterogeneity in channel availability limits the performance and poses a great challenge on protocol design. ... -
Deciding Your Own Anonymity: User-Oriented Node Selection in I2P
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Article)With the development of Internet applications, anonymous communication technology plays a very significant role in protecting personal privacy. As one of the most popular anonymous communication systems, I2P provides strong ... -
Decomposition-based wind power forecasting models and their boundary issue: An in-depth review and comprehensive discussion on potential solutions
( Elsevier Ltd , 2022 , Article Review)Recently, numerous forecasting models have been reported in the wind power forecasting field, aiming for reliable integration of renewable energy into the electric grid. Decomposition-based hybrid models have gained ... -
Decontamination of toxic Malathion pesticide in aqueous solutions by Fenton-based processes: Degradation pathway, toxicity assessment and health risk assessment
( Elsevier B.V. , 2022 , Article)This study evaluates the degradation efficiency of Malathion using Fenton (Fe2+/H2O2: F), photo-Fenton (UV/Fe2+/H2O2: PF), and sono-photo Fenton (US/UV/Fe2+/H2O2: SPF) processes as well as determines the toxicity of the ... -
Deep and transfer learning for building occupancy detection: A review and comparative analysis
( Elsevier , 2022 , Short Survey)The building internet of things (BIoT) is quite a promising concept for curtailing energy consumption, reducing costs, and promoting building transformation. Besides, integrating artificial intelligence (AI) into the BIoT ... -
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 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 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 ...
