Detection of K-complexes in EEG signals using deep transfer learning and YOLOv3
The K-complex is one of the most important and noticeable features in the
electroencephalography (EEG) signal, therefore its detection is critical for EEG signal …
electroencephalography (EEG) signal, therefore its detection is critical for EEG signal …
Neural architecture search for resource constrained hardware devices: A survey
Y Yang, J Zhan, W Jiang, Y Jiang… - IET Cyber‐Physical …, 2023 - Wiley Online Library
With the emergence of powerful and low‐energy Internet of Things devices, deep learning
computing is increasingly applied to resource‐constrained edge devices. However, the …
computing is increasingly applied to resource‐constrained edge devices. However, the …
A decision framework for cloud migration: A hybrid approach
Cloud computing is utilised for information technology outsourcing of either industries or
organisations. There are several inhibitors and motivations related factors to determine …
organisations. There are several inhibitors and motivations related factors to determine …
An integrated deep learning prediction approach for efficient modelling of host load patterns in cloud computing
Recent surge in technology and integration of IoT into Cloud computing has resulted in
increasingly heterogeneous workloads with unprecedented compute and storage demands …
increasingly heterogeneous workloads with unprecedented compute and storage demands …
Smart auto mining (SAM) for industrial IoT blockchain network
This work proposes smart auto mining (SAM) for resource‐efficient mining in a blockchain
network. The SAM algorithm stops the miners when there is zero pending transaction and …
network. The SAM algorithm stops the miners when there is zero pending transaction and …
A feature extraction and time war** based neural expansion architecture for cloud resource usage forecasting
Accurate resource utilization estimation is crucial for efficient resource allocation, capacity
planning, and cost optimization in cloud systems. In the past, several artificial intelligence …
planning, and cost optimization in cloud systems. In the past, several artificial intelligence …
Enhanced ubiquitous system architecture for securing healthcare IoT using efficient authentication and encryption
CS Kulkarni, MY Naniwadekar… - International Journal of …, 2024 - Springer
In the light of the ongoing development of IoT (Internet of Things) technology and the rise of
Futuristic Smart Vertical Networks, its utilisation in diverse sectors is growing more …
Futuristic Smart Vertical Networks, its utilisation in diverse sectors is growing more …
Steam computing paradigm: Cross‐layer solutions over cloud, fog, and edge computing
Conventional infrastructures based on the cloud are not sufficient for the emerging Internet
of Things (IoT) applications requirements. Many big problems are shortcomings, especially …
of Things (IoT) applications requirements. Many big problems are shortcomings, especially …
An integrated taxonomy of standard indicators for ranking and selecting supercomputers
Due to the ever‐increasing computing requirements of modern applications,
supercomputers are at the centre of attraction as a platform for high‐performance computing …
supercomputers are at the centre of attraction as a platform for high‐performance computing …
Optimal resource optimisation based on multi‐layer monitoring
The satisfaction of the Quality of Service (QoS) levels during an entire service life‐cycle is
one of the key targets for Service Providers (SP). To achieve this in an optimal way, it is …
one of the key targets for Service Providers (SP). To achieve this in an optimal way, it is …