Results 121 to 130 of about 16,838,211 (334)

Advancing energy efficiency: Harnessing machine learning for smart grid management [PDF]

E3S Web of Conferences
The concept of Smart Grids (SG) has emerged as a solution to address challenges in traditional power systems, including resource inefficiency, reliability issues, and instability.
Babanazarov N.Sh., Matkarimov A.I., Ilyasov I.S.   +2 more
doaj   +1 more source

Performance optimization of energy-efficient solar absorbers for thermal energy harvesting in modern industrial environments using a solar deep learning model

Heliyon
Thermal energy harvesting has seen a rise in popularity in recent years due to its potential to generate renewable energy from the sun. One of the key components of this process is the solar absorber, which is responsible for converting solar radiation ...
Ammar Armghan, J. Logeshwaran, S. Raja, Khaled Aliqab, Meshari Alsharari, Shobhitkumar Patel   +5 more
semanticscholar   +1 more source

SpikeRL: A Scalable and Energy-efficient Framework for Deep Spiking Reinforcement Learning*

2025 International Conference on Neuromorphic Systems (ICONS)
In this era of AI revolution, massive investments in large-scale data-driven AI systems demand high-performance computing, consuming tremendous energy and resources. This trend raises new challenges in optimizing sustainability without sacrificing scalability or performance.
Tokey Tahmid, Mark Gates, Piotr Luszczek, Catherine D. Schuman   +3 more
openaire   +4 more sources

Energy-Efficient Deep Learning Models for IoT-Based Smart Home Automation

With the approval of the Internet of Things (IoT) and deep learning, smart home automation is changing quickly. Nevertheless, deep learning models are usually expensive and energy-consuming, which restricts their application on low-power IoT devices ...
Vivek Singh
core   +1 more source

Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

Advanced Functional Materials, EarlyView.
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan, Hocheon Yoo, Benoît H. Lessard, Ioannis Kymissis, Chang‐Hyun Kim   +4 more
wiley   +1 more source

Spiking Neural Network For Energy Efficient Learning And Recognition [PDF]

, 2020
Nowadays, people are confronted with an increasingly large amount of data and a tremendous change of human-machine interaction modes. It is a challenging and time-consuming task for traditional computing system to deal with the content of information ...
Wong, Yan Chiew, Wang, Ning Lo
core   +2 more sources

Joint Resource Management for Energy-Efficient UAV-Assisted SWIPT-MEC: A Deep Reinforcement Learning Approach [PDF]

IEEE Internet of Things Journal
The integration of simultaneous wireless information and power transfer (SWIPT) technology in 6G Internet of Things (IoT) networks faces significant challenges in remote areas and disaster scenarios where ground infrastructure is unavailable.
Yue Chen, Hui Kang, Jia-Hui Li, Geng Sun, Bo-Xiong Wang, Jia-Cheng Wang, Cong Liang, Shuang Liang, D. Niyato   +8 more
semanticscholar   +1 more source

Reservoir‐Driven Neuromorphic Computing Based on Composite Rare‐Earth/Transition Metal Oxide Memristor

Advanced Functional Materials, EarlyView.
A defect‐engineered Ag/Gd2O3:Nb2O5/Pt rare earth composite oxide memristor enables stable multilevel reservoir states through pulse driven conductance modulation. Experimentally measured device responses are incorporated into a device aware reservoir computing framework for CIFAR‐100 image classification, highlighting the potential of rare earth ...
Hammad Ghazanfar, Haider Abbas, Muhammad Rabeel, Honggyun Kim, Ghulam Dastgeer, Muhammad Nasim, Furqan Zahoor, Yawar Abbas, Waqas Ahmad, Deok‐kee Kim   +9 more
wiley   +1 more source

Kinetics‐Controlled Architecture of Binder‐Free Organic Electrodes for Enhanced Ion Transport

Advanced Functional Materials, EarlyView.
Pulse reverse electrodeposition controls nucleation and growth to create hierarchically porous Py‐derived oligomeric electrodes with enhanced ionic accessibility and reduced transport resistance. The resulting binder‐free architectures translate these transport advantages into practical sodium‐storage functionality.
Satendra Kumar, María del Carmen Giménez‐López   +1 more
wiley   +1 more source

Smart Energy-Efficient Encryption for Wireless Multimedia Sensor Networks Using Deep Learning

IEEE Open Journal of the Communications Society
Wireless multimedia sensor networks (WMSNs) have gained considerable attention across various applications due to their capabilities for real-time multimedia data collection, efficient monitoring, and flexible deployment. Despite advancements, challenges
Osama A. Khashan, Nour M. Khafajah, Waleed Alomoush, Mohammad Alshinwan, Emad Alomari   +4 more
doaj   +1 more source