Listar In Press por título 

Listar In Press por título

Mostrando ítems 22-33 de 33

    • Reliability of IBM’s Public Quantum Computers 

      Pérez-Antón, Raquel; Corbi, Alberto; López-Sánchez, José Ignacio; Burgos, Daniel (International Journal of Interactive Multimedia and Artificial Intelligence, 04/2023)
      One of the challenges of the current ecosystem of quantum computers (QC) is the stabilization of the coherence associated with the entanglement of the states of their inner qubits. In this empirical study, we monitor the ...

    • Reversible Image Watermarking Using Modified Quadratic Difference Expansion and Hybrid Optimization Technique 

      Lakshmi, H. R.; Borra, Surekha (International Journal of Interactive Multimedia and Artificial Intelligence, 08/2023)
      With increasing copyright violation cases, watermarking of digital images is a very popular solution for securing online media content. Since some sensitive applications require image recovery after watermark extraction, ...

    • Spatial-Aware Multi-Level Parsing Network for Human-Object Interaction 

      Su, Zhan; Yu, Ruiyun; Zou, Shihao; Guo, Bingyang; Cheng, Li (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 ...

    • Testing Deep Learning Recommender Systems Models on Synthetic GAN-Generated Datasets 

      Bobadilla, Jesús; Gutiérrez, Abraham (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 

      Irfan, Muhammad; Shahrestani, Seyed; ElKhodr, Mahmoud (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 ...

    • TKU-PSO: An Efficient Particle Swarm Optimization Model for Top-K High-Utility Itemset Mining 

      Carstensen, Simen; Chun-Wei Lin, Jerry (International Journal of Interactive Multimedia and Artificial Intelligence, 01/2024)
      Top-k high-utility itemset mining (top- HUIM) is a data mining procedure used to identify the most valuable patterns within transactional data. Although many algorithms are proposed for this purpose, they require substantial ...

    • Traffic Optimization Through Waiting Prediction and Evolutive Algorithms 

      García, Francisco; Hernández, Helena; Moreno-García, María N.; de Paz Santana, Juan F.; López, Vivian F.; Bajo, Javier (International Journal of Interactive Multimedia and Artificial Intelligence, 12/2023)
      Traffic optimization systems require optimization procedures to optimize traffic light timing settings in order to improve pedestrian and vehicle mobility. Traffic simulators allow obtaining accurate estimates of traffic ...

    • Trends in Addiction to Psychoactive Substances Among Homeless People in Colombia Using Artificial Intelligence 

      Ordoñez, Hugo; Timarán-Pereira, Ricardo; González-Sanabria, Juan-Sebastián (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 02/2024)
      Introduction: Currently, homelessness should not be seen as just another problem, but as a reality of inequality and the absence of social justice. In this sense, homeless people are subjected to social disengagement, lack ...

    • Use of Data Mining for Intelligent Evaluation of Imputation Methods 

      la Red, David L.; Primorac, Carlos R. (International Journal of Interactive Multimedia and Artificial Intelligence, 03/2023)
      In real-world situations, researchers frequently face the difficulty of missing values (MV), i.e., values not observed in a data set. Data imputation techniques allow the estimation of MV using different algorithms, by ...

    • Use of Optimised LSTM Neural Networks Pre-Trained With Synthetic Data to Estimate PV Generation 

      Martínez-Comesaña, Miguel; Martínez-Torres, Javier; Eguía-Oller, Pablo; López-Gómez, Javier (International Journal of Interactive Multimedia and Artificial Intelligence, 11/2023)
      Optimising the use of the photovoltaic (PV) energy is essential to reduce fossil fuel emissions by increasing the use of solar power generation. In recent years, research has focused on physical simulations or artifical ...

    • User Revocation-Enabled Access Control Model Using Identity-Based Signature in the Cloud Computing Environment 

      Kumar, Tarun; Kumar, Prabhat; Namasudra, Suyel (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 05/2024)
      Nowadays, a lot of data is stored in the cloud for sharing purposes across various domains. The increasing number of security issues with cloud data raises confidentiality concerns about keeping these stored or shared data. ...

    • What Drives IoT-Based Smart Pet Appliances Usage Intention? The Perspective of the Unified Theory of Acceptance and Use of Technology Model 

      Chen, Chia-Chen; Lin, Chia-Pei (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2024)
      The advancement of IOT (Internet of Things) has facilitated the development of smart pet appliances, and the market for these products has growing rapidly, this study seeks to identify key factors for pet owner adoption ...