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TELKOMNIKA Telecommunication, Computing, Electronics and Control
Towards cognitive artificial intelligence device: an intelligent processor based on human thinking emulation
The intervention of computer technology began the era of a more intelligent and independent instrumentation system based on intelligent methods such as artificial neural networks, fuzzy logic, and genetic algorithm. On the other hand, processor with…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
High-resolution rotor-position detection for green vehicle drives at halt condition with statistical view
Considerations around environmental pollution and green energy usage have
led to environmentally-friendly machines being used in many industrial
applications. Permanent magnet (PM) machines are the best solution to
substitute the pollutant…
led to environmentally-friendly machines being used in many industrial
applications. Permanent magnet (PM) machines are the best solution to
substitute the pollutant…
Prehospital time and mortality in polytrauma patients: a retrospective
analysis
Background: The time from injury to treatment is considered as one of the major determinants for patient
outcome after trauma. Previous studies already attempted to investigate the correlation between prehospital time
and trauma patient outcome.…
outcome after trauma. Previous studies already attempted to investigate the correlation between prehospital time
and trauma patient outcome.…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Prediction schizophrenia using random forest
Schizophrenia is a mental illness with a very bad impact on sufferers, attacking the part of human brain that disables the ability to think clearly. In 2018, Rustam and Rampisela classified Schizophrenia by using Northwestern University Schizophrenia…
Study of C-reactive protein, procalcitonin, and immunocyte ratios in 194 patients with sepsis
Background: Evidence suggests that C-reactive protein (CRP), procalcitonin (PCT), and immune cells can predict sepsis
severity in adult patients. However, the specific values of these indicators are not consistent in predicting prognosis.
Methods:…
severity in adult patients. However, the specific values of these indicators are not consistent in predicting prognosis.
Methods:…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Pulmonary rontgen classification to detect pneumonia disease using convolutional neural networks
Every organism is known to have different structural and biological system, specifically in human immunity. If the immune system weakens, the body is susceptible to disease especially pneumonia disease. Pneumonia disease is caused by the bacterium…
Ultrasonography indicators for predicting difficult intubation: a systematic review and meta-analysis
Background: Ultrasonography (US) is recently used frequently as a tool for airway assessment prior to intubation
(endotracheal tube (ETT) placement), and several indicators have been proposed in studies with different reported
performances in this…
(endotracheal tube (ETT) placement), and several indicators have been proposed in studies with different reported
performances in this…
Validity and risk factor analysis for helicopter emergency medical services in Japan: a pilot study
Background: Some emergency departments use triage scales, such as the Canadian Triage and Acuity Scale and
Japan Urgent Stroke Triage Score, to detect life-threatening situations. However, these protocols have not been
used for aeromedical…
Japan Urgent Stroke Triage Score, to detect life-threatening situations. However, these protocols have not been
used for aeromedical…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Convolutional neural network for maize leaf disease image classification
This article discusses the maize leaf disease image classification.
The experimental images consist of 200 images with 4 classes: healthy,
cercospora, common rust and northern leaf blight. There are 2 steps: feature extraction and classification.…
The experimental images consist of 200 images with 4 classes: healthy,
cercospora, common rust and northern leaf blight. There are 2 steps: feature extraction and classification.…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
WSN nodes power consumption using multihop routing protocol for illegal cutting forest
The need for an automation system from a remote area cannot be separated from the role of the wireless sensor network. However, the battery consumption is still a problem that influences the lifetime of the system. This research focused on studying…