Mostrando ítems 1-20 de 25

    • A Hybrid Approach for Android Malware Detection and Family Classification 

      Dhalaria, Meghna; Gandotra, Ekta (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      With the increase in the popularity of mobile devices, malicious applications targeting Android platform have greatly increased. Malware is coded so prudently that it has become very complicated to identify. The increase ...
    • A Smart Collaborative Educational Game with Learning Analytics to Support English Vocabulary Teaching 

      Tlili, Ahmed; Hattab, Sarra; Essalmi, Fathi; Chen, Nian-Shing; Huang, Ronghuai; Kinshuk; Chang, Maiga; Burgos, Daniel (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      Learning Analytics (LA) approaches have proved to be able to enhance learning process and learning performance. However, little is known about applying these approaches for second language acquisition using educational ...
    • A Word Embedding Based Approach for Focused Web Crawling Using the Recurrent Neural Network 

      Dhanith, P. R. Joe; Surendiran, B.; Raja, S. P. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      Learning-based focused crawlers download relevant uniform resource locators (URLs) from the web for a specific topic. Several studies have used the term frequency-inverse document frequency (TF-IDF) weighted cosine vector ...
    • An Effective Tool for the Experts' Recommendation Based on PROMETHEE II and Negotiation: Application to the Industrial Maintenance 

      Houari, Nawal Sad; Taghezout, Noria (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      In this article, we propose an expert recommendation tool that relies on the skills of experts and their interventions in collaboration. This tool provides us with a list of the most appropriate (effective) experts to solve ...
    • An Empiric Analysis of Wavelet-Based Feature Extraction on Deep Learning and Machine Learning Algorithms for Arrhythmia Classification 

      Singh, Ritu; Rajpal, Navin; Mehta, Rajesh (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      The aberration in human electrocardiogram (ECG) affects cardiovascular events that may lead to arrhythmias. Many automation systems for ECG classification exist, but the ambiguity to wisely employ the in-built feature ...
    • Application of Artificial Intelligence Algorithms Within the Medical Context for Non-Specialized Users: the CARTIER-IA Platform 

      García-Peñalvo, Francisco; Vázquez-Ingelmo, Andrea; García-Holgado, Alicia; Sampedro-Gómez, Jesús; Sánchez-Puente, Antonio; Vicente-Palacios, Víctor; Dorado-Díaz, P. Ignacio; Sánchez, Pedro L. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      The use of advanced algorithms and models such as Machine Learning, Deep Learning and other related approaches of Artificial Intelligence have grown in their use given their benefits in different contexts. One of these ...
    • Attention-based Multi-modal Sentiment Analysis and Emotion Detection in Conversation using RNN 

      Huddar, Mahesh G.; Sannakki, Sanjeev S.; Rajpurohit, Vijay S. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      The availability of an enormous quantity of multimodal data and its widespread applications, automatic sentiment analysis and emotion classification in the conversation has become an interesting research topic among the ...
    • Automated Detection of COVID-19 using Chest X-Ray Images and CT Scans through Multilayer- Spatial Convolutional Neural Networks 

      Khattak, Muhammad Irfan; Al-Hasan, Mu’ath; Jan, Atif; Saleem, Nasir; Verdú, Elena; Khurshid, Numan (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      The novel coronavirus-2019 (Covid-19), a contagious disease became a pandemic and has caused overwhelming effects on the human lives and world economy. The detection of the contagious disease is vital to avert further ...
    • Bayesian Knowledge Tracing for Navigation through Marzano’s Taxonomy 

      Cervantes-Pérez, Francisco; Navarro-Perales, Joaquin; Franzoni-Velázquez, Ana L.; de-la-Fuente Valentín, Luis (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      In this paper we propose a theoretical model of an ITS (Intelligent Tutoring Systems) capable of improving and updating computer-aided navigation based on Bloom’s taxonomy. For this we use the Bayesian Knowledge Tracing ...
    • BILROST: Handling Actuators of the Internet of Things through Tweets on Twitter using a Domain- Specific Language 

      Meana-Llorián, Daniel; González García, Cristian; Pelayo G-Bustelo, Cristina; Cueva-Lovelle, Juan Manuel (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      In recent years, many investigations have appeared that combine the Internet of Things and Social Networks. Some of them addressed the interconnection of objects as Social Networks interconnect people, and others addressed ...
    • COVID-19 Mortality Risk Prediction Using X-Ray Images 

      Prada, J.; Gala, Y.; Sierra, A. L. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      The pandemic caused by coronavirus COVID-19 has already had a massive impact in our societies in terms of health, economy, and social distress. One of the most common symptoms caused by COVID-19 are lung problems like ...
    • DeepFair: Deep Learning for Improving Fairness in Recommender Systems 

      Bobadilla, Jesús; Lara-Cabrera, Raúl; González-Prieto, Ángel; Ortega, Fernando (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      The lack of bias management in Recommender Systems leads to minority groups receiving unfair recommendations. Moreover, the trade-off between equity and precision makes it difficult to obtain recommendations that meet both ...
    • Does a presentation Media Influence the Evaluation of Consumer Products? A Comparative Study to Evaluate Virtual Reality, Virtual Reality with Passive Haptics and a Real Setting 

      Galán, Julia; García-García, Carlos; Felip, Francisco; Contero, Manuel (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      Technologies based on image offer a high potential to present consumers with products by focusing on their visual characteristics, but lack the capacity to physically interact with an object, which can compromise how ...
    • Dynamic Generation of Investment Recommendations Using Grammatical Evolution 

      Martín, Carlos; Quintana, David; Isasi, Pedro (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      The attainment of trading rules using Grammatical Evolution traditionally follows a static approach. A single rule is obtained and then used to generate investment recommendations over time. The main disadvantage of this ...
    • Editor's Note 

      Martínez Torres, Javier (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      The International Journal of Interactive Multimedia and Artificial Intelligence – IJIMAI (ISSN 1989-1660) provides an interdisciplinary forum in which scientists and professionals can share their research results and report ...
    • Machine Learning Classifier Approach with Gaussian Process, Ensemble boosted Trees, SVM, and Linear Regression for 5G Signal Coverage Mapping 

      Gupta, Akansha; Ghanshala, Kamal; Joshi, R. C. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      This article offers a thorough analysis of the machine learning classifiers approaches for the collected Received Signal Strength Indicator (RSSI) samples which can be applied in predicting propagation loss, used for network ...
    • Motivic Pattern Classification of Music Audio Signals Combining Residual and LSTM Networks 

      Arronte Alvarez, Aitor; Gómez, Francisco (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      Motivic pattern classification from music audio recordings is a challenging task. More so in the case of a cappella flamenco cantes, characterized by complex melodic variations, pitch instability, timbre changes, extreme ...
    • NSL-BP: A Meta Classifier Model Based Prediction of Amazon Product Reviews 

      Kumar, Pravin; Dayal, Mohit; Khari, Manju; Fenza, Giuseppe; Gallo, Mariacristina (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      In machine learning, the product rating prediction based on the semantic analysis of the consumers' reviews is a relevant topic. Amazon is one of the most popular online retailers, with millions of customers purchasing and ...
    • Optimal Parameter Estimation of Solar PV Panel Based on Hybrid Particle Swarm and Grey Wolf Optimization Algorithms 

      Rezk, Hegazy; Arfaoui, Jouda; Gomaa, Mohamed R. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      The performance of a solar photovoltaic (PV) panel is examined through determining its internal parameters based on single and double diode models. The environmental conditions such as temperature and the level of radiation ...
    • Promising Deep Semantic Nuclei Segmentation Models for Multi-Institutional Histopathology Images of Different Organs 

      Hassan, Loay; Saleh, Adel; Abdel-Nasser, Mohamed; Omer, Osama A.; Puig, Domenec (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      Nuclei segmentation in whole-slide imaging (WSI) plays a crucial role in the field of computational pathology. It is a fundamental task for different applications, such as cancer cell type classification, cancer grading, ...