Results 121 to 130 of about 16,939 (236)

Urban Traffic Volume Prediction using LSTM and Bi-LSTM: Performance Evaluation on the Metro Interstate Dataset

Ilkom Jurnal Ilmiah
Urban traffic forecasting underpins the mitigation of congestion, enhancement of road safety, and reduction of emissions in intelligent transportation systems.
Andri Pranolo, Shoffan Saifullah, Agung Bella Utama Putra, Rafał Dreżewski, Aji Prasetya Wibawa   +4 more
doaj   +1 more source

Deep Learning-Based Language Identification in English-Hindi-Bengali Code-Mixed Social Media Corpora

Journal of Intelligent Systems, 2019
This article addresses language identification at the word level in Indian social media corpora taken from Facebook, Twitter and WhatsApp posts that exhibit code-mixing between English-Hindi, English-Bengali, as well as a blend of both language pairs ...
Jamatia Anupam, Das Amitava, Gambäck Björn   +2 more
doaj   +1 more source

Developing Predictive and Explainable Models for Cryptocurrency Delistings: A Case Study of Binance Exchange

Asia-Pacific Journal of Financial Studies, EarlyView.
Abstract This study develops an explainable machine learning model to predict cryptocurrency delistings using Binance data. It combines quantitative indicators (price, volume) with qualitative data from real‐time news and Reddit. Latent Dirichlet Allocation (LDA) is used to extract topic trends and community reactions, which are transformed into time ...
Sungju Yang, Hunyeong Kwon
wiley   +1 more source

L‐VISP: LSTM Visualization for Interpretable Symptom Prediction in Patient Cohorts

Computer Graphics Forum, EarlyView.
L‐VISP is a human‐machine solution that uses visual analytics for LSTM modelling in clinical research. L‐VISP uses custom visual encodings to make multiple LSTM variants interpretable, supporting a full range of analysis, from understanding model operations and evaluating performance to interpreting results in a clinical context.
C. Floricel, Y. Wang, A. Wentzel, C. D. Fuller, G. E. Marai, M. E. Papka, G. Canahuate   +6 more
wiley   +1 more source

Precipitation Nowcasting: Leveraging bidirectional LSTM and 1D CNN

CoRR, 2018
Short-term rainfall forecasting, also known as precipitation nowcasting has become a potentially fundamental technology impacting significant real-world applications ranging from flight safety, rainstorm alerts to farm irrigation timings. Since weather forecasting involves identifying the underlying structure in a huge amount of data, deep-learning ...
Maitreya Patel, Anery Patel, Ranendu Ghosh   +2 more
openaire   +2 more sources

Forecasting weekly reference evapotranspiration using Auto Encoder Decoder Bidirectional LSTM model hybridized with a Boruta-CatBoost input optimizer

, 2022
Forecasting weekly reference evapotranspiration using Auto Encoder Decoder Bidirectional LSTM model hybridized with a Boruta-CatBoost input ...
M Karbasi (13305330), ZM Yaseen (13896354), M Ali (6099503), A Malik (13305321), M Jamei (13305324)   +4 more
core  

Artificial Intelligence in Climate and Sustainable Finance: A Blessing or a Curse?

Journal of Economic Surveys, EarlyView.
ABSTRACT While there are concerns regarding the sustainability of artificial intelligence (AI), it is a potential ally in the transition toward a greener future. It offers advanced tools for data analysis; risk modeling; and environmental, social, and governance (ESG) assessment.
Filippo di Pietro, Pilar Giráldez‐Puig, Pedro R. Palos‐Sánchez, Zbigniew Korzeb   +3 more
wiley   +1 more source

Peningkatan Kualitas Layanan Melalui Klasifikasi Pesan Chatbot Berbasis Natural Language Processing (NLP): Model Bidirectional Long Short-Term Memory Network (LSTM) [PDF]

, 2023
Perkembangan zaman yang begitu cepat dan pengaruh globalisasi telah membuat perubahan yang sangat besar dalam kehidupan manusia. Salah satu bidang yang terkena dampaknya adalah jasa. Pelayanan secara bertahap mulai digantikan oleh mesin.
Kristiantoro, Calvin Satya Adi
core  

Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang, Daeun Choi, Damian Adams, Jaehyun Ahn, Kelly Balmant, Raquel Dias, Carlos D. Messina, Rafael Muñoz‐Carpena, Vance M. Whitaker, Haipeng Yu, Ziwen Yu, Chang Zhao, Changying Li   +12 more
wiley   +1 more source

Comparative Analysis of LSTM and Bi-LSTM for Classifying Indonesian New Translation Bible Texts Using Word2Vec Embedding

CommIT Journal
The research aims to compare the classification accuracy of Long Short-Term Memory (LSTM) and Bidirectional LSTM (Bi-LSTM) architectures in classifying Indonesian New Translation Bible texts with Word2Vec embedding.
Marthen Sattu Sambo, Suryasatriya Trihandaru, Didit Budi Nugroho, Hanna Arini Parhusip   +3 more
doaj   +1 more source