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 …

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 …

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 …

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 …

Fuzzy learning vector quantization for classification of mixed meat image based on character of color and texture

L Ningsih, A Buono, T Haryanto - Jurnal RESTI (Rekayasa Sistem …, 2022 - jurnal.iaii.or.id
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 …

Mobile phones as traffic sensors with map matching and privacy considerations

B Hardjono, A Wibowo, MF Rachmadi… - … Symposium on Micro …, 2012 - ieeexplore.ieee.org
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 …

Generating Multi-Codebook Neural Network by Using Intelligent Gaussian Mixture Model Clustering Based on Histogram Information for Multi-Modal Data …

MA Ma'sum, N Alfiany, W Jatmiko - IEEE Access, 2022 - ieeexplore.ieee.org
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 …

Developing smart Tele-ECG system for early detection and monitoring heart diseases based on ECG signal: progress and challenges

W Jatmiko, MA Ma'sum, HA Wisesa… - International Journal on …, 2019 - sciendo.com
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 …

PSO algorithm for single and multiple odor sources localization problems: progress and challenge

W Jatmiko, F Jovan, RYS Dhiemas… - … Journal on Smart …, 2016 - sciendo.com
Odor sensing technology in robotic research introduce two research field namely odor
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)

W Jatmiko, A Sunandar, MS Alvissalim… - IEEE …, 2021 - ieeexplore.ieee.org
In a real-world environment, there are several difficult obstacles to overcome in
classification. Those obstacles are data overlapping and skewness of data distribution …