Review and investigations on future research directions of mobile based telecare system for cardiac surveillance
S Palanivel Rajan - Journal of applied research and technology, 2015 - scielo.org.mx
Tele-surveillance is the method of patient monitoring, provided that medical practitioner and
patient are separated by a large distance and it also involves inaccessibly monitoring the …
patient are separated by a large distance and it also involves inaccessibly monitoring the …
A comprehensive confirmation-based selfish node detection algorithm for socially aware networks
Z **ong, X Li, X Zhang, M Deng, F Xu, B Zhou… - Journal of Signal …, 2023 - Springer
Data transmission in socially aware networks is usually accomplished through opportunistic
peer-to-peer links in a storage-carry-forward way. This way demands nodes to actively …
peer-to-peer links in a storage-carry-forward way. This way demands nodes to actively …
Enabling real-time information service on telehealth system over cloud-based big data platform
J Wang, M Qiu, B Guo - Journal of Systems Architecture, 2017 - Elsevier
A telehealth system covers both clinical and nonclinical uses, which not only provides store-
and-forward data services to be offline studied by relevant specialists, but also monitors the …
and-forward data services to be offline studied by relevant specialists, but also monitors the …
An ensemble deep learning approach combining phenotypic data and fmri for adhd diagnosis
Y Qin, Y Lou, Y Huang, R Chen, W Yue - Journal of Signal Processing …, 2022 - Springer
As a common neurological disorder in early childhood and adolescence, an efficient and
accurate diagnosis of Attention-Defect/Hyperactivity Disorder (ADHD) has always been one …
accurate diagnosis of Attention-Defect/Hyperactivity Disorder (ADHD) has always been one …
A review on energy consumption and conservation techniques for sensor node in WSN
With the evolution of wireless technologies Wireless Sensor Network (WSN) have gained
tremendous exposure in field of sensing remote places. For researchers WSN has been …
tremendous exposure in field of sensing remote places. For researchers WSN has been …
Low-power analog integrated architecture of the voting classification algorithm for diabetes disease prediction
A low-power (∼ 600nW), fully analog integrated architecture for a voting classification
algorithm is introduced. It can effectively handle multiple-input features, maintaining …
algorithm is introduced. It can effectively handle multiple-input features, maintaining …
Power-efficient analog hardware architecture of the learning vector quantization algorithm for brain tumor classification
This study introduces a design methodology pertaining to analog hardware architecture for
the implementation of the learning vector quantization (LVQ) algorithm. It consists of three …
the implementation of the learning vector quantization (LVQ) algorithm. It consists of three …
Tackling solitary entities for few-shot knowledge graph completion
Abstract Few-Shot Knowledge Graph Completion (FSKGC) aims to predict new facts for
relations with only a few observed instances in Knowledge Graph. Existing FSKGC models …
relations with only a few observed instances in Knowledge Graph. Existing FSKGC models …
Energy-Based Learning for Polluted Outlier Detection in Backdoor
Big data analysis has become an essential tool in a lot of fields. An increasing number of
entities rely on different kinds of data analysis tools to formulate their strategy. However, the …
entities rely on different kinds of data analysis tools to formulate their strategy. However, the …
Exploring energy efficient architectures in passive wireless nodes for IoT applications
V Sai, MH Mickle - IEEE circuits and systems magazine, 2014 - ieeexplore.ieee.org
The evolution of embedded intelligence in passively powered wireless nodes has led to the
expansion of the application space for passive Radio Frequency Identification (RFID) and …
expansion of the application space for passive Radio Frequency Identification (RFID) and …