A sustainable data-driven energy consumption assessment model for building infrastructures in resource constraint environment
As per economic development and urbanization, there is a touchy impact on energy
consumption for commercial building infrastructures. Energy consumption analysis of …
consumption for commercial building infrastructures. Energy consumption analysis of …
Energy-efficient inference on the edge exploiting TinyML capabilities for UAVs
In recent years, the proliferation of unmanned aerial vehicles (UAVs) has increased
dramatically. UAVs can accomplish complex or dangerous tasks in a reliable and cost …
dramatically. UAVs can accomplish complex or dangerous tasks in a reliable and cost …
[PDF][PDF] Epileptic seizure detection using deep learning through min max scaler normalization
B Deepa, K Ramesh - Int. J. Health Sci, 2022 - pdfs.semanticscholar.org
Epileptic seizure detection and prediction are significantly sought-after research currently
because robust algorithms are available. Machine learning and deep learning have allowed …
because robust algorithms are available. Machine learning and deep learning have allowed …
[PDF][PDF] Federated learning with blockchain assisted image classification for clustered UAV networks
The evolving “Industry 4.0” domain encompasses a collection of future industrial
developments with cyber-physical systems (CPS), Internet of things (IoT), big data, cloud …
developments with cyber-physical systems (CPS), Internet of things (IoT), big data, cloud …
Energy efficient neuro-fuzzy cluster based topology construction with metaheuristic route planning algorithm for unmanned aerial vehicles
At present times, unmanned aerial vehicles (UAVs) received significant attention among
several application areas and services in both defense and civilian domains. The existence …
several application areas and services in both defense and civilian domains. The existence …
White shark optimizer with optimal deep learning based effective unmanned aerial vehicles communication and scene classification
Unmanned aerial vehicles (UAVs) become a promising enabler for the next generation of
wireless networks with the tremendous growth in electronics and communications. The …
wireless networks with the tremendous growth in electronics and communications. The …
Data mining classification techniques to assign individual personality type and predict job profile
M Sharma, S Joshi, S Sharma, A Singh… - 2021 9th international …, 2021 - ieeexplore.ieee.org
This paper proposes an advanced personality classification and professional profile
prediction system. The system grasps from the personality patterns by using advanced data …
prediction system. The system grasps from the personality patterns by using advanced data …
Quantum neural network-based multilabel image classification in high-resolution unmanned aerial vehicle imagery
Latest advancements in real-time remote sensing sensors and platform lead to the
development of unmanned aerial vehicles (UAV) which enable the accessibility of high …
development of unmanned aerial vehicles (UAV) which enable the accessibility of high …
Big data analytics with oppositional moth flame optimization based vehicular routing protocol for future smart cities
Presently, smart city is designed to enhance the quality of life in city, fulfil the safety of the
people, safe travelling, etc. Besides, big data has attracted significant attention among …
people, safe travelling, etc. Besides, big data has attracted significant attention among …
A Review of Real-Time Monitoring of Hybrid Energy Systems by Using Artificial Intelligence and IoT
Z Nishtar, J Afzal - Pakistan Journal of Engineering and …, 2023 - journals.uol.edu.pk
This research focuses on the invention of real-time monitoring of hybrid energy systems
using artificial intelligence (AI) and the Internet of Things (IoT). The study aims to develop a …
using artificial intelligence (AI) and the Internet of Things (IoT). The study aims to develop a …