Computer-aided arrhythmia diagnosis with bio-signal processing: A survey of trends and techniques
SMP Dinakarrao, A Jantsch, M Shafique - ACM Computing Surveys …, 2019 - dl.acm.org
Signals obtained from a patient, ie, bio-signals, are utilized to analyze the health of patient.
One such bio-signal of paramount importance is the electrocardiogram (ECG), which …
One such bio-signal of paramount importance is the electrocardiogram (ECG), which …
Classification techniques of electronic nose: a review
P Jia, X Li, M Xu, L Zhang - International Journal of Bio …, 2024 - inderscienceonline.com
Electronic nose (e-nose) is composed of a set of gas sensors combined with a series of
algorithmic models. The practical application of the electronic nose system can prove that …
algorithmic models. The practical application of the electronic nose system can prove that …
Swarm quadrotor robots for telecommunication network coverage area expansion in disaster area
MS Alvissalim, B Zaman, ZA Hafizh… - 2012 Proceedings of …, 2012 - ieeexplore.ieee.org
Countries such as Indonesia and Japan are prone to disasters. Telecommunication
infrastructure are often damaged as a result of disasters, while reliable communication link is …
infrastructure are often damaged as a result of disasters, while reliable communication link is …
Fused hierarchical neural networks for cardiovascular disease diagnosis
BD Sekar, MC Dong, J Shi, XY Hu - IEEE Sensors Journal, 2011 - ieeexplore.ieee.org
A fused hierarchical neural networks (FHNNs) is proposed for applications mainly related to
diagnosis and fault detection. The benefit of such a model is well demonstrated by applying …
diagnosis and fault detection. The benefit of such a model is well demonstrated by applying …
Fuzzy learning vector quantization for classification of mixed meat image based on character of color and texture
Beef consumption is quite high and expensive in the world. In Indonesia, beef prices are
relatively expensive because the meat supply chain from farmers to the market is quite long …
relatively expensive because the meat supply chain from farmers to the market is quite long …
Mobile phones as traffic sensors with map matching and privacy considerations
In the recent years, it has become readily more accepted that smart mobile phones with GPS
or A-GPS enabled device, or even Cell-ID enabled, among the commuters, can be used as …
or A-GPS enabled device, or even Cell-ID enabled, among the commuters, can be used as …
Generating Multi-Codebook Neural Network by Using Intelligent Gaussian Mixture Model Clustering Based on Histogram Information for Multi-Modal Data …
One of the open challenges in machine learning is multi-modal data classification. A
classifier model needs to be enhanced to deal with multi-modal data. This study is proposed …
classifier model needs to be enhanced to deal with multi-modal data. This study is proposed …
Developing smart Tele-ECG system for early detection and monitoring heart diseases based on ECG signal: progress and challenges
Technology is developed to benefit society. One of the applications of technology in the
healthcare sector is telehealth monitoring system. The system proposes a new way of …
healthcare sector is telehealth monitoring system. The system proposes a new way of …
PSO algorithm for single and multiple odor sources localization problems: progress and challenge
Odor sensing technology in robotic research introduce two research field namely odor
recognition and odor source localization. Odor source localization research also includes …
recognition and odor source localization. Odor source localization research also includes …
Development of adaptive fuzzy-neuro generalized learning-vector quantization using PI membership function (AFNGLVQ-PI)
In a real-world environment, there are several difficult obstacles to overcome in
classification. Those obstacles are data overlapping and skewness of data distribution …
classification. Those obstacles are data overlapping and skewness of data distribution …