Listar 2023 por título 

Listar 2023 por título

Mostrando ítems 1-20 de 64

    • A Comparative Evaluation of Bayesian Networks Structure Learning Using Falcon Optimization Algorithm 

      Qasim Awla, Hoshang; Wahhab Kareem, Shahab; Salih Mohammed, Amin (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)
      Bayesian networks are analytical models that may represent probabilistic dependent connections among variables and are useful in machine learning for generating knowledge structure. Due to the vastness of the solution ...

    • A Greedy Randomized Adaptive Search With Probabilistic Learning for solving the Uncapacitated Plant Cycle Location Problem 

      López-Plata, Israel; Expósito-Izquierdo, Christopher; Lalla-Ruiz, Eduardo; Melián-Batista, Belén; Moreno-Vega, J. Marcos (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)
      In this paper, we address the Uncapacitated Plant Cycle Location Problem. It is a location-routing problem aimed at determining a subset of locations to set up plants dedicated to serving customers. We propose a mathematical ...

    • A Hybrid Parallel Classification Model for the Diagnosis of Chronic Kidney Disease 

      Singh, Vijendra; Jain, Divya (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)
      Chronic Kidney Disease (CKD) has become a prevalent disease nowadays, affecting people globally around the world. Accurate prediction of CKD progression over time is essential for reducing its associated mortality and ...

    • A Hybrid Secure Cloud Platform Maintenance Based on Improved Attribute-Based Encryption Strategies 

      Kumar, Abhishek; Kumar, Swarn Avinash; Dutt, Vishal; Dubey, A. K.; Narang, Sushil (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)
      In the modern era, Cloud Platforms are the most needed port to maintain documents remotely with proper security norms. The concept of cloud environments is similar to the network channel. Still, the Cloud is considered the ...

    • A Platform for Swimming Pool Detection and Legal Verification Using a Multi-Agent System and Remote Image Sensing 

      Sánchez San Blas, Héctor; Carmona Balea, Antía; Sales, A.; Augusto Silva, Luís; Villarrubia González, Gabriel (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2023)
      Spain is the second country in Europe with the most swimming pools. However, the legal literature estimates that 20% of swimming pools are not declared or irregular.The administration has a corps of people who manually ...

    • A Spatio-Temporal Attention Graph Convolutional Networks for Sea Surface Temperature Prediction 

      Chen, Desheng; Wen, Jiabao; Lv, Caiyun (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2023)
      Sea surface temperature (SST) is an important index to detect ocean changes, predict SST anomalies, and prevent natural disasters caused by abnormal changes, dynamic variation of which have a profound impact on the whole ...

    • A Survey on Data-Driven Evaluation of Competencies and Capabilities Across Multimedia Environments 

      Strukova, Sofia; Ruipérez-Valiente, José A.; Gómez Mármol, Félix (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2023)
      The rapid evolution of technology directly impacts the skills and jobs needed in the next decade. Users can, intentionally or unintentionally, develop different skills by creating, interacting with, and consuming the content ...

    • A Survey on Demand-Responsive Transportation for Rural and Interurban Mobility 

      Martí, Pasqual; Jordán, Jaume; González Arrieta, María Angélica; Julian, Vicente (International Journal of Interactive Multimedia and Artificial Intelligence, 09/2023)
      Rural areas have been marginalized when it comes to flexible, quality transportation research. This review article brings together papers that discuss, analyze, model, or experiment with demand-responsive transportation ...

    • Adaptation of Applications to Compare Development Frameworks in Deep Learning for Decentralized Android Applications 

      Sainz-de-Abajo, Beatriz; Laso, Sergio; Garcia-Alonso, Jose (International Journal of Interactive Multimedia and Artificial Intelligence, 06/2023)
      Not all frameworks used in machine learning and deep learning integrate with Android, which requires some prerequisites. The primary objective of this paper is to present the results of the analysis and a comparison of ...

    • An Efficient Bet-GCN Approach for Link Prediction 

      Saxena, Rahul; Pankaj Patil, Spandan; Kumar Verma, Atul; Jadeja, Mahipal; Vyas, Pranshu; Bhateja, Vikrant; Chun-Wei Lin, Jerry (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2023)
      The task of determining whether or not a link will exist between two entities, given the current position of the network, is called link prediction. The study of predicting and analyzing links between entities in a network ...

    • An Efficient Probabilistic Methodology to Evaluate Web Sources as Data Source for Warehousing 

      Sharan Sinha, Hariom; Kumar Choudhary, Saket; Kumar Solanki, Vijender (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2023)
      Internet is the largest source of data and the requirement of data analytics have fueled the data warehouse to switch from structured conventional Data Warehouse to complex Web Data Warehouse. The dynamic and complex nature ...

    • An Empirical Evaluation of Machine Learning Techniques for Crop Prediction 

      Mariammal, G.; Suruliandi, A.; Raja, S. P.; Poongothai, E. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2023)
      Agriculture is the primary source driving the economic growth of every country worldwide. Crop prediction, which is critical to agriculture, depends on the soil and environment. Nutrient levels differ from area to area and ...

    • An Investigation Into Different Text Representations to Train an Artificial Immune Network for Clustering Texts 

      Ferraria, Matheus A.; Ferraria, Vinicius A.; de Castro, Leandro N. (International Journal of Interactive Multimedia and Artificial Intelligence, 09/2023)
      Extracting knowledge from text data is a complex task that is usually performed by first structuring the texts and then applying machine learning algorithms, or by using specific deep architectures capable of dealing ...

    • Attentive Flexible Translation Embedding in Top-N Sparse Sequential Recommendations 

      Seo, Min-Ji; Kim, Myung-Ho (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2023)
      Sequential recommendation aims to predict the user’s next action based on personal action sequences. The major challenge in this task is how to achieve high performance recommendation under the data sparsity problem. ...

    • Automatic Cell Counting With YOLOv5: A Fluorescence Microscopy Approach 

      López Flórez, Sebastián; González-Briones, Alfonso; Hernández, Guillermo; Ramos, Carlos; de la Prieta, Fernando (International Journal of Interactive Multimedia and Artificial Intelligence, 09/2023)
      Counting cells in a Neubauer chamber on microbiological culture plates is a laborious task that depends on technical experience. As a result, efforts have been made to advance computer vision-based approaches, increasing ...

    • Blockchain Based Cloud Management Architecture for Maximum Availability 

      Arias Maestro, Alberto; Sanjuán Martínez, Óscar; Teredesai, Ankur M.; García-Díaz, Vicente (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2023)
      Contemporary cloud application and Edge computing orchestration systems rely on controller/worker design patterns to allocate, distribute, and manage resources. Standard solutions like Apache Mesos, Docker Swarm, and ...

    • Consensus-Based Learning for MAS: Definition, Implementation and Integration in IVEs 

      Carrascosa, C.; Enguix, F.; Rebollo, M.; Rincon, J. (International Journal of Interactive Multimedia and Artificial Intelligence, 09/2023)
      One of the main advancements in distributed learning may be the idea behind Google’s Federated Learning (FL) algorithm. It trains copies of artificial neural networks (ANN) in a distributed way and recombines the weights ...

    • ConvGRU-CNN: Spatiotemporal Deep Learning for Real-World Anomaly Detection in Video Surveillance System 

      Qasim Gandapur, Maryam; Verdú, Elena (International Journal of Interactive Multimedia and Artificial Intelligence, 12/2023)
      Video surveillance for real-world anomaly detection and prevention using deep learning is an important and difficult research area. It is imperative to detect and prevent anomalies to develop a nonviolent society. Realworld ...

    • Cosine Similarity Based Hierarchical Skeleton and Cross Indexing for Large Scale Image Retrieval Using Mapreduce Framework 

      Qianwen, Zhong (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)
      The imaging data in various fields like industries, institutions, medical, and so on has grown exponentially in recent years. An innovative software solution is required for the efficient management of image data. The ...

    • COVID-19 Disease Prediction Using Weighted Ensemble Transfer Learning 

      Kumar Roy, Pradeep; Singh, Ashish (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2023)
      Health experts use advanced technological equipment to find complex diseases and diagnose them. Medical imaging nowadays is popular for detecting abnormalities in human bodies. This research discusses using the Internet ...