Results 101 to 110 of about 45,826 (205)

Comparison Airport Traffic Prediction Performance Using BiGRU and CNN-BiGRU Models

JOIN: Jurnal Online Informatika
COVID-19 pandemic has significantly disrupted the aviation industry, highlighting the critical need for accurate airport traffic predictions. This study compares the performance of BiGRU and CNN-BiGRU models to enhance airport traffic forecasting ...
Willy Riyadi, Jasmir, Xaverius Sika
doaj   +1 more source

Artificial intelligence-driven assessment of salt caverns for underground hydrogen storage in Poland

Scientific Reports
This study explores the feasibility of utilizing bedded salt deposits as sites for underground hydrogen storage. We introduce an innovative artificial intelligence framework that applies multi-criteria decision-making and spatial data analysis to ...
Reza Derakhshani, L. Lankof, Amin GhasemiNejad, Mojtaba Zaresefat   +3 more
semanticscholar   +1 more source

Pendekatan Model Fuzzy untuk Pendugaan Bobot Badan Kerbau Lumpur Berdasarkan Lingkar Dada dan Panjang Badan [PDF]

, 2013
Body weight of a swamp buffalo can be determined by measuring the buffalo weight directly or indirectly. Measuring the buffalo weight directly is relatively difficult. Measuring the weight indirectly can be performed using a conventional formula or fuzzy
Sista, Ito Hadi
core  

A Mathematical Framework for E-Commerce Sales Prediction Using Attention-Enhanced BiLSTM and Bayesian Optimization

Mathematical and Computational Applications
Accurate sales prediction is crucial for inventory and marketing in e-commerce. Cross-border sales involve complex patterns that traditional models cannot capture.
Hao Hu, Jinshun Cai, Chenke Xu
doaj   +1 more source

Evaluating the effectiveness of machine learning models for performance forecasting in basketball: a comparative study

Knowledge and Information Systems
Sports analytics (SA) incorporate machine learning (ML) techniques and models for performance prediction. Researchers have previously evaluated ML models applied on a variety of basketball statistics.
George Papageorgiou, Vangelis Sarlis, Christos Tjortjis   +2 more
semanticscholar   +1 more source

Performance Evaluation of Machine Learning Models for Predicting Energy Consumption and Occupant Dissatisfaction in Buildings

Buildings
This study evaluates the performance of 15 machine learning models for predicting energy consumption (30–100 kWh/m2·year) and occupant dissatisfaction (Percentage of Dissatisfied, PPD: 6–90%), key metrics for optimizing building performance.
H. Hosamo, S. Mazzetto
semanticscholar   +1 more source

Development of Artificial Intelligence/Machine Learning (AI/ML) Models for Methane Emissions Forecasting in Seaweed

Methane
This research project aimed to address the growing concern about methane emissions from seaweed by developing a Convolutional Neural Network (CNN) model capable of accurately predicting these emissions.
Clifford Jaylen Louime, Tariq Asleem Raza   +1 more
doaj   +1 more source

IS THE BOX-COX TRANSFORMATION NEEDED IN MODELING TELKOM’S STOCK PRICE USING NNAR AND DESH METHODS?

Media Statistika
Accurate stock price forecasting requires appropriate preprocessing, particularly for time series data with high variability and nonlinear patterns.
Michela Sheryl Noven, Respatiwulan Respatiwulan, Winita Sulandari   +2 more
doaj   +1 more source

Daily average load demand forecasting using LSTM model based on historical load trends

IET Generation, Transmission & Distribution
Load demand forecasting is very important for the management, designing and analysis of an electrical grid system. Load forecasting has progressively become a crucial component of the energy management system with the growth of the smart micro grid. This
Rashmi Bareth, Anamika Yadav, Shubhrata Gupta, M. Pazoki   +3 more
semanticscholar   +1 more source

A hybrid deep learning and tree based approach to forecast AQI in indoor environments

Environmental Research Communications
The attendance, well-being and comfort of students is directly affected by the air quality in the classroom. Additionally, the performance of teachers and staff is also impacted by it.
Anurag Barthwal, Shwetank Avikal
doaj   +1 more source