[PDF][PDF] Gender classification based on electrocardiogram signals using long short term memory and bidirectional long short term memory
KY Halim, DT Nugrahadi, MR Faisal… - Jurnal Ilmiah Teknik …, 2023 - researchgate.net
Gender classification by computer is essential for applications in many domains, such as
human-computer interaction or biometric system applications. Generally, gender …
human-computer interaction or biometric system applications. Generally, gender …
Using social media data to monitor natural disaster: a multi dimension convolutional neural network approach with word embedding
Social media has a significant role in natural disaster management, namely as an early
warning and monitoring when natural disasters occur. Artificial intelligence can maximize …
warning and monitoring when natural disasters occur. Artificial intelligence can maximize …
Applying features based on word embedding techniques to 1d cnn for natural disaster messages classification
Messages of natural disasters on social media can be used as an early warning and
mitigation of natural disasters. Researchers developed a machine learning-based …
mitigation of natural disasters. Researchers developed a machine learning-based …
LSTM and Bi-LSTM models for identifying natural disasters reports from social media
Natural disaster events are occurrences that cause significant losses, primarily resulting in
environmental and property damage and in the worst cases, even loss of life. In some cases …
environmental and property damage and in the worst cases, even loss of life. In some cases …
[PDF][PDF] Pemanfaatan Machine Learning Sebagai Sensor Berbasis Media Sosial Untuk Pemantauan Bencana Banjir Di Lahan Basah
Pesan bencana alam di media sosial dapat digunakan sebagai peringatan dini dan
pemantauan saat terjadi bencana alam. Machine learning dapat membantu menentukan …
pemantauan saat terjadi bencana alam. Machine learning dapat membantu menentukan …
Harvesting Natural Disaster Reports from Social Media with 1D Convolutional Neural Network and Long Short-Term Memory
The employment of social media platforms is progressively assuming pivotal roles in natural
disaster management as early warning and monitoring systems. In emergencies, social …
disaster management as early warning and monitoring systems. In emergencies, social …
A Social Community Sensor for Natural Disaster Monitoring in Indonesia Using Hybrid 2D CNN LSTM
One of the most notable advantages of utilizing social media is its ability to aid
communication during natural disasters, specifically in regards to disseminating information …
communication during natural disasters, specifically in regards to disseminating information …
Gender Classification on Social Media Messages Using fastText Feature Extraction and Long Short-Term Memory
Currently, social media is used as a platform for interacting with many people and has also
become a source of information for social media researchers or analysts. Twitter is one of …
become a source of information for social media researchers or analysts. Twitter is one of …
Gender Classification of Twitter Users Using Convolutional Neural Network
FA Mubarok, MR Faisal… - MATRIK: Jurnal …, 2023 - journal.universitasbumigora.ac.id
Social media has become a place for social media analysts to obtain data to gain deeper
insights and understanding of user behavior, trends, public opinion, and patterns associated …
insights and understanding of user behavior, trends, public opinion, and patterns associated …
An Effective Preprocessing Data on Performance of Machine Learning for ECG-Based Personal Authentication
A system for person identification has been simulated utilizing electrocardiogram (ECG)
signals as biometric identifiers. To automate ECG signal-based biometric recognition …
signals as biometric identifiers. To automate ECG signal-based biometric recognition …