Results 21 to 30 of about 60,322 (264)

Integrating nanotechnology with deep learning for engineering, healthcare, and environmental solutions: A review [PDF]

EPJ Web of Conferences
Combining nanotechnology and deep learning methods is a leading-edge frontier in engineering solutions, with unparalleled prospects for innovation and growth.
Israni Riaz, Parmar Jaydeep, Chauhan Mehul, Maniya Hina, Singh Brij Pal, Purohit Harsh, Kamdar Jignesh   +6 more
doaj   +1 more source

Deep Reinforcement Learning Based Energy Efficient Multi-UAV Data Collection for IoT Networks

IEEE Open Journal of Vehicular Technology, 2021
Unmanned aerial vehicles (UAVs) are regarded as an emerging technology, which can be effectively utilized to perform the data collection tasks in the Internet of Things (IoT) networks.
Seyed Saeed Khodaparast, Xiao Lu, Ping Wang, Uyen Trang Nguyen   +3 more
doaj   +1 more source

Advanced Deep Learning-Based Computational Offloading for Multilevel Vehicular Edge-Cloud Computing Networks

IEEE Access, 2020
The promise of low latency connectivity and efficient bandwidth utilization has driven the recent shift from vehicular cloud computing (VCC) towards vehicular edge computing (VEC).
Mashael Khayyat, Ibrahim A. Elgendy, Ammar Muthanna, Abdullah S. Alshahrani, Soltan Alharbi, Andrey Koucheryavy   +5 more
doaj   +1 more source

Overview of Applications and Research Directions of Deep Learning Methods for Wind Power Prediction [PDF]

Jisuanji kexue yu tansuo
As the global demand for renewable energy increases, wind power, as an important part of clean renewable energy, the accurate prediction of its power is crucial for the stable operation of the power system and the efficient use of energy. In recent years,
LIU Tan, LIU Na, LIU Guiping, LIU Kunjie, LIU Min, ZHUANG Xufei, ZHANG Zhonghao
doaj   +1 more source

Deep reinforcement learning-based vehicle energy efficiency autonomous learning system [PDF]

2017 IEEE Intelligent Vehicles Symposium (IV), 2017
To mitigate air pollution problems and reduce greenhouse gas emissions (GHG), plug-in hybrid electric vehicles (PHEV) have been developed to achieve higher fuel efficiency. The Energy Management System (EMS) is a very important component of a PHEV in achieving better fuel economy and it is a very active research area.
Xuewei Qi, Yadan Luo, Guoyuan Wu 0001, Kanok Boriboonsomsin, Matthew J. Barth   +4 more
openaire   +4 more sources

Advanced Deep Learning Techniques for Battery Thermal Management in New Energy Vehicles

Energies
In the current era of energy conservation and emission reduction, the development of electric and other new energy vehicles is booming. With their various attributes, lithium batteries have become the ideal power source for new energy vehicles.
Shaotong Qi, Yubo Cheng, Zhiyuan Li, Jiaxin Wang, Huaiyi Li, Chunwei Zhang   +5 more
doaj   +1 more source

Performance Analysis of Deep Learning-Based Routing Protocol for an Efficient Data Transmission in 5G WSN Communication

IEEE Access, 2022
For the past few years, huge interest and dramatic development have been shown for the Internet of Things (IoT) based constrained Wireless sensor network (WSN) to achieve efficient resource utilization and better service delivery.
Greeshma Arya, Ashish Bagwari, Durg Singh Chauhan   +2 more
doaj   +1 more source

Blockchain-Enabled Privacy-Preserving Federated Learning with Deep Capsule Networks for Energy-Efficient Speed Control in Autonomous Vehicles

Communications
Rough roads negatively affect the ride quality and energy efficiency of autonomous vehicles (AVs) and demand adaptive speed control. To solve this, this research proposes a Deep Capsule Network integrated with Sparse Kernel K-means Clustering (DCapsNet +
N Sanjith, M. Nithya, Sreeju P Sreedharan   +2 more
doaj   +1 more source

A Novel Accurate and Fast Converging Deep Learning-Based Model for Electrical Energy Consumption Forecasting in a Smart Grid

Energies, 2020
Energy consumption forecasting is of prime importance for the restructured environment of energy management in the electricity market. Accurate energy consumption forecasting is essential for efficient energy management in the smart grid (SG); however ...
Ghulam Hafeez, Khurram Saleem Alimgeer, Zahid Wadud, Zeeshan Shafiq, Mohammad Usman Ali Khan, Imran Khan, Farrukh Aslam Khan, Abdelouahid Derhab   +7 more
doaj   +1 more source

Memory Optimization for Energy-Efficient Differentially Private Deep Learning

IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2020
With the advent of Internet of Things (IoT) technologies and availability of a large amount of data, deep learning has been applied in a variety of artificial intelligence (AI) applications. However, sharing personal data using IoT edge devices carries inherent risks to individual privacy.
Jonathon Edstrom, Hritom Das, Yiwen Xu, Na Gong   +3 more
openaire   +1 more source