Listar 2023 por título 

Listar 2023 por título

Mostrando ítems 1-20 de 44

    • 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; Kumar Dubey, Ashutosh; 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 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 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 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 ...

    • 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 ...

    • 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 ...

    • Dataset and Baselines for IID and OOD Image Classification Considering Data Quality and Evolving Environments 

      Zhang, Zhuo; Li, Yang; Gong, Yicheng; Yang, Yue; Ma, Shukun; Guo, Xiaolan; Ercisli, Sezai (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2023)
      At present, artificial intelligence is in a period of rapid development, and deep learning has begun to be applied in various fields. Data, as a key part of the deep learning, its efficiency and stability, will directly ...

    • Deep Learning Assisted Medical Insurance Data Analytics With Multimedia System 

      Zhang, Cheng; Vinodhini, B.; Muthu, Bala Anand (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)
      Big Data presents considerable challenges to deep learning for transforming complex, high-dimensional, and heterogeneous biomedical data into health care data. Various kinds of data are analyzed in recent biomedical research ...

    • Development of a Shared UX Vision Based on UX Factors Ascertained Through Attribution 

      Winter, Dominique; Hausmann, Carolin; Hinderks, Andreas; Thomaschewski, Jörg (International Journal of Interactive Multimedia and Artificial Intelligence, 06/2023)
      User experience (UX) is an important quality in differentiating products. For a product team, it is a challenge to develop a good positive user experience. A common UX vision for the product team supports the team in making ...

    • Development of an Intelligent Classifier Model for Denial of Service Attack Detection 

      Michelena, Álvaro; Aveleira-Mata, Jose; Jove, Esteban; Alaiz-Moretón, Héctor; Quintián, Héctor; Calvo-Rolle, José Luis (International Journal of Interactive Multimedia and Artificial Intelligence, 09/2023)
      The prevalence of Internet of Things (IoT) systems deployment is increasing across various domains, from residential to industrial settings. These systems are typically characterized by their modest computationa requirements ...

    • Digit Recognition Using Composite Features With Decision Tree Strategy 

      Chen, Chung-Hsing; Huang, Ko-Wei (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)
      At present, check transactions are one of the most common forms of money transfer in the market. The information for check exchange is printed using magnetic ink character recognition (MICR), widely used in the banking ...