Results 51 to 60 of about 16,838,211 (334)

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   +5 more sources

Energy-Efficient Rate-Splitting Multiple Access: A Deep Reinforcement Learning-Based Framework

IEEE Open Journal of the Communications Society, 2023
Rate-Splitting Multiple Access (RSMA) has been recognized as an effective technique to reconcile the tradeoff between decoding interference and treating interference as noise in 6G and beyond networks.
Maria Diamanti, Georgios Kapsalis, Eirini Eleni Tsiropoulou, Symeon Papavassiliou   +3 more
doaj   +1 more source

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

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

Energy-Efficient Object Tracking Using Adaptive ROI Subsampling and Deep Reinforcement Learning

IEEE Access, 2023
Recent innovations in ROI camera systems have opened up the avenue for exploring energy optimization techniques like adaptive subsampling. Generally speaking, image frame capture and read-out demand high power consumption.
Sameeksha Katoch, Odrika Iqbal, Andreas Spanias, Suren Jayasuriya   +3 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   +2 more sources

The human gut microbiome across the life course

FEBS Letters, EarlyView.
Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero, Basak Bahcivanci, Antonietta Hayhoe, Animesh Acharjee, Ezgi Özkurt   +4 more
wiley   +1 more source

Data-driven framework for energy-efficient smart cities [PDF]

Serbian Journal of Electrical Engineering, 2020
Energy management is one of the greatest challenges in smart cities. Moreover, the presence of autonomous vehicles makes this task even more complex.
Petrović Nenad, Kocić Đorđe
doaj   +1 more source

Secure-Energy Efficient Bio-Inspired Clustering and Deep Learning-Based Routing Using Blockchain for Edge Assisted WSN Environment

IEEE Access, 2023
In recent days, the usage of data transmission has increased in Wireless Sensor Network (WSN) environments due to its dynamic nature. However, WSNs face many issues during data transmission, such as less energy efficiency, less security, and less network
K. H. Vijayendra Prasad, S. Periyasamy
semanticscholar   +1 more source

Jaya Hunger Game Search Enabled Energy Efficient Optimal Resource Allocation in Internet of Things and Energy Prediction Using Deep Long Short Term Memory

International Journal of Computational Intelligence Systems
For the past few years, the Internet of Things (IoT) has received considerable attention and developments among researchers to achieve improved resource utilization. For data transmission among heterogeneous components, IoT needs a powerful communication
Yannam Bharath Bhushan, S. Aparna
doaj   +1 more source