Mostrando ítems 193-212 de 743

    • BROA: An agent-based model to recommend relevant Learning Objects from Repository Federations adapted to learner profile 

      Rodríguez, Paula A.; Tabares, Valentina; Duque, Néstor D.; Ovalle, Demetrio A.; Vicari, Rosa M. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2013)
      Learning Objects (LOs) are distinguished from traditional educational resources for their easy and quickly availability through Web-based repositories, from which they are accessed through their metadata. In addition, ...
    • Building Phrase Polarity Lexicons for Sentiment Analysis 

      Dehkharghani, Rahim (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2018)
      Many approaches to sentiment analysis benefit from polarity lexicons. Most polarity lexicons include a list of polar (positive/negative) words, and sentiment analysis systems attempt to capture the occurrence of those words ...
    • Building Real-Time Collaborative Applications with a Federated Architecture 

      Ojanguren-Menendez, Pablo; Tenorio-Fornés, Antonio; Hassan, Samer (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2015)
      Real-time collaboration is being offered by multiple libraries and APIs (Google Drive Real-time API, Microsoft Real-Time Communications API, TogetherJS, ShareJS), rapidly becoming a mainstream option for webservices ...
    • Business and Social Behaviour Intelligence Analysis Using PSO 

      Bhaskar, Vinay S; Kumar Singh, Abhishek; Dhruw, Jyoti; Parashar, Anubha; Sharma, Mradula (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2014)
      The goal of this paper is to elaborate swarm intelligence for business intelligence decision making and the business rules management improvement. The paper introduces the decision making model which is based on the ...
    • Business Process Re-engineering in Saudi Arabia: A Survey of Understanding and Attitudes 

      Rahali, Essam; Chaczko, Zenon; Agbinya, Johnson; Chiu, Christopher (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2009)
      This survey was conducted in the Kingdom of Saudi Arabia (KSA) to investigate the level of awareness of BPR. Respondents (customers, employees, and Managers) had different educational backgrounds and were from private and ...
    • CA-CFAR Adjustment Factor Correction with a priori Knowledge of the Clutter Distribution Shape Parameter 

      Machado-Fernández, José Raúl; Bacallao-Vidal, Jesús Concepción; Torres Martinez, Shirley (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2017)
      Oceanic and coastal radars operation is affected because the targets information is received mixed with and undesired contribution called sea clutter. Specifically, the popular CA-CFAR processor is incapable of maintaining ...
    • CAIN-21: Automatic adaptation decisions and extensibility in an MPEG-21 adaptation engine 

      López, Fernando; Martínez, José M.; García, Narciso (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2013)
      This paper presents the progress and final state of CAIN-21, an extensible and metadata driven multimedia adaptation in the MPEG-21 framework. CAIN-21 facilitates the integration of pluggable multimedia adaptation tools, ...
    • Can AI Help Us to Understand Belief? Sources, Advances, Limits, and Future Directions 

      Vestrucci, Andrea; Lumbreras, Sara; Oviedo, Lluis (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2021)
      The study of belief is expanding and involves a growing set of disciplines and research areas. These research programs attempt to shed light on the process of believing, understood as a central human cognitive function. ...
    • Can Generative AI Solve Geometry Problems? Strengths and Weaknesses of LLMs for Geometric Reasoning in Spanish 

      Parra, Verónica; Sureda, Patricia; Corica, Ana; Schiaffino, Silvia; Godoy, Daniela (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2024)
      Generative Artificial Intelligence (AI) has emerged as a disruptive technology that is challenging traditional teaching and learning practices. Question-answering in natural language fosters the use of chatbots, such as ...
    • 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 ...
    • Chatbot-Based Learning Platform for SQL Training 

      Balderas, Antonio; Baena-Pérez, Rubén; Person, Tatiana; Mota, José Miguel; Ruiz-Rube, Iván (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 05/2022)
      Learning the SQL language for working with relational databases is a fundamental subject for future computer engineers. However, in distance learning contexts or unexpected situations like the COVID-19 pandemic, where ...
    • Checking RTECTL properties of STSs via SMT-based Bounded Model Checking 

      Zbrzezny, Agnieszka; Zbrzezny, Andrzej (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2015)
      We present an SMT-based bounded model checking (BMC) method for Simply-Timed Systems (STSs) and for the existential fragment of the Real-time Computation Tree Logic. We implemented the SMT-based BMC algorithm and compared ...
    • Chinese-chi and Kundalini yoga Meditations Effects on the Autonomic Nervous System: Comparative Study 

      Dey, Anilesh; Bhattacharya, D. K.; Tibarewala, D.N.; Dey, Nilanjan; Ashour, Amira S.; Le, Dac-Nhuong; Gospodinova, Evgeniya; Gospodinov, Mitko (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2016)
      Cardiac disease is one of the major causes for death all over the world. Heart rate variability (HRV) is a significant parameter that used in assessing Autonomous Nervous System (ANS) activity. Generally, the 2D Poincare′ ...
    • Chrome Layer Thickness Modelling in a Hard Chromium Plating Process Using a Hybrid PSO/ RBF–SVM–Based Model 

      García Nieto, Paulino José; García-Gonzalo, Esperanza; Sánchez Lasheras, Fernando; Bernardo Sánchez, Antonio (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2020)
      The purpose of chromium plating is the creation of a hard and wear-resistant layer of chromium over a metallic surface. The principal feature of chromium plating is its endurance in the face of the wear and corrosion. This ...
    • Clasification Of Arrhythmic ECG Data Using Machine Learning Techniques 

      Vishwa, Abhinav; Lal, Mohit K.; Dixit, Sharad; Vardwaj, Dr. Pritish (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2011)
      In this paper we proposed a automated Artificial Neural Network (ANN) based classification system for cardiac arrhythmia using multi-channel ECG recordings. In this study, we are mainly interested in producing high confident ...
    • Classification-based Deep Neural Network Architecture for Collaborative Filtering Recommender Systems 

      Bobadilla, Jesús; Ortega, Fernando; Gutiérrez, Abraham; Alonso, Santiago (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2020)
      This paper proposes a scalable and original classification-based deep neural architecture. Its collaborative filtering approach can be generalized to most of the existing recommender systems, since it just operates on the ...
    • Collaborative Geographic Information Systems for Business Intelligence 

      Ramirez, Juan José (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2009)
      This paper shows a number of sceneries where information (specifically, geographical-related information) is lost because there is no method for storing or sharing it. This research has been done with the aim to solve ...
    • Combating Misinformation and Polarization in the Corporate Sphere: Integrating Social, Technological and AI Strategies 

      Tejero, Alberto; Pisoni, Galena; Lashkari, Ziba Habibi; Rios-Aguilar, Sergio (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2024)
      In an era where misinformation and polarization present significant challenges, this research examines the root causes within social networks and assesses how corporations can use AI technologies for prompt detection. This ...
    • Combining Fuzzy AHP with GIS and Decision Rules for Industrial Site Selection 

      Taibi, Aissa; Atmani, Baghdad (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2017)
      This study combines Fuzzy Analytic Hierarchy Process (FAHP), Geographic Information System (GIS) and Decision rules to provide decision makers with a ranking model for industrial sites in Algeria. A ranking of the suitable ...
    • Comparative Analysis of Building Insurance Prediction Using Some Machine Learning Algorithms 

      Ejiyi, Chukwuebuka Joseph; Qin, Zhen; Salako, Abdulhaq Adetunji; Happy, Monday Nkanta; Nneji, Grace Ugochi; Ukwuoma, Chiagoziem Chima; Chikwendu, Ijeoma Amuche; Gen, Ji (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2022)
      In finance and management, insurance is a product that tends to reduce or eliminate in totality or partially the loss caused due to different risks. Various factors affect house insurance claims, some of which contribute ...