Mostrando ítems 1-20 de 70

    • A Clustering Algorithm Based on an Ensemble of Dissimilarities: An Application in the Bioinformatics Domain 

      Martín Merino, Manuel; López Rivero, Alfonso José; Alonso, Vidal; Vallejo, Marcelo; Ferreras, Antonio (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2022)
      Clustering algorithms such as k-means depend heavily on choosing an appropriate distance metric that reflect accurately the object proximities. A wide range of dissimilarities may be defined that often lead to different ...
    • A Comparative Analysis of Machine Learning Models for Banking News Extraction by Multiclass Classification With Imbalanced Datasets of Financial News: Challenges and Solutions 

      Dogra, Varun; Verma, Sahil; Verma, Kavita; Jhanjhi, NZ; Ghosh, Uttam; Le, Dac-Nhuong (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2022)
      Online portals provide an enormous amount of news articles every day. Over the years, numerous studies have concluded that news events have a significant impact on forecasting and interpreting the movement of stock prices. ...
    • A Diverse Domain Generative Adversarial Network for Style Transfer on Face Photographs 

      Tahir, Rabia; Cheng, Keyang; Memon, Bilal Ahmed; Liu, Qing (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2022)
      The applications of style transfer on real time photographs are very trending now. This is used in various applications especially in social networking sites such as SnapChat and beauty cameras. A number of style transfer ...
    • A Fuzzy-Based Multimedia Content Retrieval Method Using Mood Tags and Their Synonyms in Social Networks 

      Moon, Chang Bae; Lee, Jong Yeol; Kim, Byeong Man (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2022)
      The preferences of Web information purchasers are rapidly evolving. Cost-effectiveness is now becoming less regarded than cost-satisfaction, which emphasizes the purchaser’s psychological satisfaction. One method to improve ...
    • A Method of the Coverage Ratio of Street Trees Based on Deep Learning 

      Han, Wen; Cao, Lei; Xu, Sheng (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2022)
      The street trees coverage ratio provides reliable data support for urban ecological environment assessment, which plays an important part in the ecological environment index calculation. Aiming at the statistical estimation ...
    • A Model for Planning TELCO Work-Field Activities Enabled by Genetic and Ant Colony Algorithms 

      Henriques, João; Caldeira, Filipe (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2022)
      Telecommunication Company’s (TELCO) are continuously delivering their efforts on the effectiveness of their daily work. Planning the activities for their workers is a crucial sensitive, and time-consuming task usually taken ...
    • A Novel Technique to Detect and Track Multiple Objects in Dynamic Video Surveillance Systems 

      Adimoolam, M.; Mohan, Senthilkumar; A., John; Srivastava, Gautam (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      Video surveillance is one of the important state of the art systems to be utilized in order to monitor different areas of modern society surveillance like the general public surveillance system, city traffic monitoring ...
    • A Rule-Based Expert System for Teachers’ Certification in the Use of Learning Management Systems 

      Regueras, Luisa M.; Verdú, María J; de Castro, Juan-Pablo (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2022)
      In recent years and accelerated by the arrival of the COVID-19 pandemic, Learning Management Systems (LMS) are increasingly used as a complement to university teaching. LMS provide an important number of resources and ...
    • A Security Situation Awareness Approach for IoT Software Chain Based on Markov Game Model 

      Zhu, Xudong; Deng, Honggao (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2022)
      Since Internet of Things (IoT) has been widely used in our daily life nowadays, it is regarded as a promising and popular application of the Internet, and has attracted more and more attention. However, IoT is also suffered ...
    • Adaptive Deep Learning Detection Model for Multi-Foggy Images 

      Hussein Arif, Zainab; Mahmoud, Moamin; Hameed Abdulkareem, Karrar; Kadry, Seifedine; Abed Mohammed, Mazin; Nasser Al-Mhiqani, Mohammed; Al-Waisy, Alaa S.; Nedoma, Jan (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2022)
      The fog has different features and effects within every single environment. Detection whether there is fog in the image is considered a challenge and giving the type of fog has a substantial enlightening effect on image ...
    • An EEG Signal Recognition Algorithm During Epileptic Seizure Based on Distributed Edge Computing 

      Qiu, Shi; Cheng, Keyang; Zhou, Tao; Tahir, Rabia; Ting, Liang (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2022)
      Epilepsy is one kind of brain diseases, and its sudden unpredictability is the main cause of disability and even death. Thus, it is of great significance to identify electroencephalogram (EEG) during the seizure quickly ...
    • An Ensemble Classifier for Stock Trend Prediction Using Sentence-Level Chinese News Sentiment and Technical Indicators 

      Chen, Chun-Hao; Chen, Po-Yeh; Chun-Wei Lin, Jerry (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2022)
      In the financial market, predicting stock trends based on stock market news is a challenging task, and researchers are devoted to developing forecasting models. From the existing literature, the performance of the forecasting ...
    • An Event Mesh for Event Driven IoT Applications 

      Berjón, Roberto; Mateos, Montserrat; Beato, M. Encarnación; Fermoso García, Ana (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2022)
      In IoT contexts, software solutions are required to have components located in different environments: mobile, edge, fog or cloud. To design this type of application, event driven architecture (EDA) is used to develop ...
    • Automatic Classification of Oral Pathologies Using Orthopantomogram Radiography Images Based on Convolutional Neural Network 

      Laishram, Anuradha; Thongam, Khelchandra (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      An attempt has been made to device a robust method to classify different oral pathologies using Orthopantomogram (OPG) images based on Convolutional Neural Network (CNN). This system will provide a novel approach for the ...
    • Automatic Finding Trapezoidal Membership Functions in Mining Fuzzy Association Rules Based on Learning Automata 

      Anari, Z.; Hatamlou, A.; Anari, B. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      Association rule mining is an important data mining technique used for discovering relationships among all data items. Membership functions have a significant impact on the outcome of the mining association rules. An ...
    • AWS PredSpot: Machine Learning for Predicting the Price of Spot Instances in AWS Cloud 

      Baldominos Gómez, Alejandro; Saez, Yago; Quintana, David; Isasi, Pedro (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2022)
      Elastic Cloud Compute (EC2) is one of the most well-known services provided by Amazon for provisioning cloud computing resources, also known as instances. Besides the classical on-demand scheme, where users purchase compute ...
    • Balance Your Work-Life: Personal Interactive Web-Interface 

      Majumder, Soumi; Chowdhury, Soumalya; Dey, Nilanjan; Santosh, K. C. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2022)
      The term work-life balance can be described as a path to manage stresses and burnouts in the workplace. In this Covid-19 pandemic, work-from-home practice includes both personal and professional spaces as employees, more ...
    • Board of Directors' Profile: A Case for Deep Learning as a Valid Methodology to Finance Research 

      Vaca, César; Tejerina, Fernando; Sahelices, Benjamín (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2022)
      This paper presents a Deep Learning (DL) model for natural language processing of unstructured CVs to generate a six-dimensional profile of the professional experience of the Spanish companies' board of directors. We show ...
    • Brain Tumor Segmentation and Identification Using Particle Imperialist Deep Convolutional Neural Network in MRI Images 

      Khemchandani, Maahi Amit; Jadhav, Shivajirao Manikra; Iyer, B. R. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2022)
      For the past few years, segmentation for medical applications using Magnetic Resonance (MR) images is concentrated. Segmentation of Brain tumors using MRIpaves an effective platform to plan the treatment and diagnosis of ...
    • CDPS-IoT: Cardiovascular Disease Prediction System Based on IoT using Machine Learning 

      Ahamed, Jameel; Manan Koli, Abdul; Ahmad, Khaleel; Alam Jamal, Mohd.; Gupta, B. B. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      Internet of Things, Machine learning, and Cloud computing are the emerging domains of information communication and technology. These techniques can help to save the life of millions in the medical assisted environment and ...