ListarIn Press por tema "deep learning"
Mostrando ítems 1-7 de 7
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Anti-Diabetic Therapeutic Medicinal Plant Identification Using Deep Fused Discriminant Subspace Ensemble (D2 SE)
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 05/2024)About 422 million people worldwide have diabetes, the majority living in low-and middle-income countries, and 1.5 million deaths are directly attributed to diabetes each year. According to the Botanical Survey of India, ... -
Large Language Models for in Situ Knowledge Documentation and Access With Augmented Reality
(International Journal of Interactive Multimedia and Artificial Intelligence, 09/2023)Augmented reality (AR) has become a powerful tool for assisting operators in complex environments, such as shop floors, laboratories, and industrial settings. By displaying synthetic visual elements anchored in real ... -
Measuring the Difference Between Pictures From Controlled and Uncontrolled Sources to Promote a Destination. A Deep Learning Approach
(International Journal of Interactive Multimedia and Artificial Intelligence, 10/2023)Promoting a destination is a major task for Destination Marketing Organizations (DMOs). Although DMOs control, to some extent, the information presented to travelers (controlled sources), there are other different sources ... -
Spatial-Aware Multi-Level Parsing Network for Human-Object Interaction
(International Journal of Interactive Multimedia and Artificial Intelligence, 06/2023)Human-Object Interaction (HOI) detection focuses on human-centered visual relationship detection, which is a challenging task due to the complexity and diversity of image content. Unlike most recent HOI detection works ... -
Stacked LSTM for Short-Term Wind Power Forecasting Using Multivariate Time Series Data
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 07/2024)Currently, wind power is the fast growing area in the domain of renewable energy generation. Accurate prediction of wind power output in wind farms is crucial for addressing the challenges associated the power grid. This ... -
Testing Deep Learning Recommender Systems Models on Synthetic GAN-Generated Datasets
(International Journal of Interactive Multimedia and Artificial Intelligence, 10/2023)The published method Generative Adversarial Networks for Recommender Systems (GANRS) allows generating data sets for collaborative filtering recommendation systems. The GANRS source code is available along with a representative ... -
The Application of Deep Learning for Classification of Alzheimer's Disease Stages by Magnetic Resonance Imaging Data
(International Journal of Interactive Multimedia and Artificial Intelligence, 07/2023)Detecting Alzheimer’s disease (AD) in its early stages is essential for effective management, and screening for Mild Cognitive Impairment (MCI) is common practice. Among many deep learning techniques applied to assess brain ...
