Mostrando ítems 21-40 de 44

    • Graph-based Techniques for Topic Classification of Tweets in Spanish 

      Cordobés, Héctor; Fernández Anta, Antonio; Chiroque, Luis F.; Pérez, Fernando; Redondo, Teófilo; Santos, Agustín (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2014)
      Topic classification of texts is one of the most interesting challenges in Natural Language Processing (NLP). Topic classifiers commonly use a bag-of-words approach, in which the classifier uses (and is trained with) ...
    • Improving Retrieval Performance of Case Based Reasoning Systems by Fuzzy Clustering 

      Saadi, F.; Atmani, Baghdad; Henni, F. (International Journal of Interactive Multimedia and Artificial Intelligence, 07/2023)
      Case-based reasoning (CBR), which is a classical reasoning methodology, has been put to use. Its application has allowed significant progress in resolving problems related to the diagnosis, therapy, and prediction of ...
    • Improving supervised learning classification methods using multi-granular linguistic modelling and fuzzy entropy 

      Morente-Molinera, Juan Antonio ; Mezei, Jozsef; Carlsson, Christer; Herrera-Viedma, Enrique (IEEE Transactions on Fuzzy Systems, 10/2017)
      Obtaining good classification results using supervised learning methods is critical if we want to obtain a high level of precision in the classification processes. The training data used for the learning process plays a ...
    • Integration of DevOps Practices on a Noise Monitor System with CircleCI and Terraform 

      Romero, Esteban Elias; Camacho, David; Montenegro, Carlos Enrique; Acosta Agudelo, Oscar Esneider; González-Crespo, Rubén; Gaona-García, Elvis; Herrera Martínez, Marcelo (ACM Transactions on Management Information Systems, 2022)
      Lowering pollution levels is one of the main principles of Sustainable Development goals dictated by the United Nations. Consequently, developments on noise monitoring contribute in great manner to this purpose, since they ...
    • Intelligent Garbage Classifier 

      Salmador, Alvaro; Pérez Cid, Javier; Rodríguez Novelle, Ignacio (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2008)
      IGC (Intelligent Garbage Classifier) is a system for visual classification and separation of solid waste products. Currently, an important part of the separation effort is based on manual work, from household separation ...
    • IoT Detection System for Mildew Disease in Roses Using Neural Networks and Image Analysis 

      Torres, Laura; Romero, Luis; Aguirre, Edgar; Ferro Escobar, Roberto (International Journal of Interactive Multimedia and Artificial Intelligence, 12/2023)
      Artificial intelligence presents different approaches, one of these is the use of neural network algorithms, a particular context is the farming sector and these algorithms support the detection of diseases in flowers, ...
    • 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 ...
    • MDFRCNN: Malware Detection using Faster Region Proposals Convolution Neural Network 

      Deore, Mahendra; Kulkarni, Uday (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      Technological advancement of smart devices has opened up a new trend: Internet of Everything (IoE), where all devices are connected to the web. Large scale networking benefits the community by increasing connectivity and ...
    • Modelo de clasificación de las condiciones clínicas que componen la prediabetes 

      Rivadeneira-Fuel, Gabriel Alejandro (09/2018)
      Con el paso del tiempo se evidencia el incremento en la cantidad de personas que padecen diabetes mellitus tipo dos a lo largo del mundo. Según la Organización Mundial de la Salud, desde el año 1980 hasta la actualidad la ...
    • Multilayer Feedforward Neural Network for Internet Traffic Classification 

      Harish, B S; Nagadarshan, N; Manju, N (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2020)
      Recently, the efficient internet traffic classification has gained attention in order to improve service quality in IP networks. But the problem with the existing solutions is to handle the imbalanced dataset which has ...
    • N-grams Based Supervised Machine Learning Model for Mobile Agent Platform Protection against Unknown Malicious Mobile Agents 

      Bagga, Pallavi; Hans, Rahul; Sharma, Vipul (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2017)
      From many past years, the detection of unknown malicious mobile agents before they invade the Mobile Agent Platform has been the subject of much challenging activity. The ever-growing threat of malicious agents calls for ...
    • OpinAIS: An Artificial Immune System-based Framework for Opinion Mining 

      Baldominos, Alejandro; Luis Mingueza, Nerea; García del Pozo, Mª Cristina (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2015)
      This paper proposes the design of an evolutionary algorithm for building classifiers specifically aimed towards performing classification and sentiment analysis over texts. Moreover, it has properties taken from Artificial ...
    • Real Time Facial Expression Recognition Using Webcam and SDK Affectiva 

      Magdin, Martin; Prikler, F (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2018)
      Facial expression is an essential part of communication. For this reason, the issue of human emotions evaluation using a computer is a very interesting topic, which has gained more and more attention in recent years. It ...
    • Real‐time force doors detection system using distributed sensors and neural networks 

      Pascual Espada, Jordán; García-Díaz, Vicente; Nuñez-Valdez, Edward Rolando; González-Crespo, Rubén (International Journal of Intelligent Systems, 22/07/2019)
      Intelligent security systems have evolved enormously in the last few years. Most of these security systems use a group of physics sensors and algorithms for data analysis and communication systems to notify security alarms. ...
    • Recognizing Human Activities Userindependently on Smartphones Based on Accelerometer Data 

      Siirtola, Pekka; Röning, Juha (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2012)
      Real-time human activity recognition on a mobile phone is presented in this article. Unlike in most other studies, not only the data were collected using the accelerometers of a smartphone, but also models were implemented ...
    • ResNet18 Supported Inspection of Tuberculosis in Chest Radiographs With Integrated Deep, LBP, and DWT Features 

      Rajinikanth, Venkatesan; Kadry, Seifedine; Moreno-Ger, Pablo (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)
      The lung is a vital organ in human physiology and disease in lung causes various health issues. The acute disease in lung is a medical emergency and hence several methods are developed and implemented to detect the lung ...
    • Segmentation-free Word Spotting for Handwritten Arabic Documents 

      Khaissidi, Ghizlane; Elfakir, Youssef; Mrabti, Mostafa; El Yacoubi, Mounîm; Chenouni, Driss (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2016)
      In this paper we present an unsupervised segmentation-free method for spotting and searching query, especially, for images documents in handwritten Arabic, for this, Histograms of Oriented Gradients (HOGs) are used as the ...
    • Sentiment Analysis on IMDb Movie Reviews Using Hybrid Feature Extraction Method 

      Harish, B S; Kumar, Keerthi; Darshan, H K (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)
      Social Networking sites have become popular and common places for sharing wide range of emotions through short texts. These emotions include happiness, sadness, anxiety, fear, etc. Analyzing short texts helps in identifying ...
    • Sound measurement and automatic vehicle classification and counting applied to road traffic noise characterization 

      Acosta Agudelo, Oscar Esneider; Montenegro, Carlos Enrique; González-Crespo, Rubén (Springer Science and Business Media Deutschland GmbH, 2021)
      Increase in population density in large cities has increased the environmental noise present in these environments, causing negative effects on human health. There are different sources of environmental noise; however, ...
    • Statistical Comparisons of the Top 10 Algorithms in Data Mining for Classification Task 

      Settouti, Nesma; El Amine Bechar, Mohammed; Amine Chikh, Mohammed (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2016)
      This work is builds on the study of the 10 top data mining algorithms identified by the IEEE International Conference on Data Mining (ICDM) community in December 2006. We address the same study, but with the application ...