Results 81 to 90 of about 10,214 (201)

Improving network security of vehicle-road collaborative system by using artificial intelligence algorithms and bidirectional long short-term memory network

Mechanics & Industry
Vehicle cybersecurity is crucial. To address cyberattacks, such as distributed denial-of-service and denial-of-service attacks, faced by vehicle-infrastructure cooperative systems and enhance their security, this study proposes an improved network ...
Chen Zengze, Zhang Bo
doaj   +1 more source

Leveraging BiLSTM for Deep Learning-Based Mental Health Chatbots

Informatics, Electrical, and Electronics Engineering
The high prevalence of mental health issues and limited access to professional information and support have driven the search for innovative solutions. One promising approach is the development of chatbot systems that provide quick and accessible mental ...
Nur Afnis Agustina, Abd. Charis Fauzan, Harliana Harliana   +2 more
doaj   +1 more source

Prediksi Harga Saham Syariah menggunakan Bidirectional Long Short Term Memory (BiLSTM) dan Algoritma Grid Search

Jambura Journal of Mathematics
Sharia stocks are one of the investment instruments in the Islamic capital market. In the capital market, it is known that stock prices are very volatile.
Dian Islamiaty Puteri, Gumgum Darmawan, Budi Nurani Ruchjana   +2 more
doaj   +1 more source

Evaluating the effectiveness of facial actions features for the early detection of driver drowsiness in driving safety monitoring system

Communications in Science and Technology
Traffic accidents caused by drowsiness continue to pose a serious threat to road safety. Many of these accidents can be prevented by alerting drivers when they begin to feel sleepy.
Yenny Rahmawati, Kuntpong Woraratpanya, Igi Ardiyanto, Hanung Adi Nugroho   +3 more
doaj   +1 more source

Perbandingan Kinerja Word Embedding dalam Analisis Sentimen Ulasan Pengguna Aplikasi Perjalanan

JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Traveloka, sebagai salah satu platform pemesanan perjalanan terkemuka, telah mencapai lebih dari 50 juta unduhan di Google Play Store. Pencapaian ini menunjukkan tingginya minat dan kepercayaan pengguna terhadap layanan yang ditawarkan.
Muhammad Agung Maugi Pahendra, Siska Anraeni, Lutfi Budi Ilmawan   +2 more
doaj   +1 more source

The BiLSTM-based synthesized speech recognition

Procedia Computer Science, 2022
Dmitry Efanov, Pavel Aleksandrov, Nikolay Karapetyants   +2 more
openaire   +1 more source

Hierarchical Text Classification: Fine-tuned GPT-2 vs BERT-BiLSTM

Applied Computer Systems
Hierarchical Text Classification (HTC) is a specialised task in natural language processing that involves categorising text into a hierarchical structure of classes. This approach is particularly valuable in several domains, such as document organisation,
Bouchiha Djelloul, Bouziane Abdelghani, Doumi Noureddine, Hamzaoui Benamar, Boukli-Hacene Sofiane   +4 more
doaj   +1 more source

Classification and Visualization Model of Stunting Zone Distribution Using Artificial Intelligence and Streamlit Approaches

JOIV: International Journal on Informatics Visualization
Time series datasets enable automated classification processes. Machine Learning (ML) and Deep Learning (DL) models are Artificial Intelligence (AI) models that allow systems to make intelligent decisions automatically.
Tjut Awaliyah Zuraiyah, Nurdina Widanti, Yamato Yamato, Andi Chairunnas, Kriti Mauludin, Bira Arya Setha   +5 more
doaj   +1 more source

Implementation of Hand Movement Tracking for Real-Time Sign Language Translation

Journal of Innovation and Community Engagement
This study developed a real-time American Sign Language (ASL) sign language identification and interpretation system based on deep learning. The system used two data sources: the ASL alphabet dataset for individual character recognition and the WLASL ...
Bernardus Anggodho Aryudhawan Hadi, Wilfridus Bambang Triadi Handaya, Suyoto Suyoto   +2 more
doaj   +1 more source

Detection of Cyberbullying using BiLSTM

International Journal for Research in Applied Science and Engineering Technology
Abstract: Cyberbullying is becoming more common in the digital sphere and is a serious threat to mental health. People, across the world, are subjected to a variety of cyberbullying tactics as the use of social media and technology increases, including insults, false rumors, and online abuse. The severity of cyberbullying cannot be understated, despite
openaire   +1 more source