Mostrando ítems 173-192 de 743

    • 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 ...
    • Ball convergence for Steffensen-type fourth-order methods 

      Argyros, Ioannis K; George, Santhosh (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2015)
      We present a local convergence analysis for a family of Steffensen-type fourth-order methods in order to approximate a solution of a nonlinear equation. We use hypotheses up to the first derivative in contrast to earlier ...
    • Bayesian Knowledge Tracing for Navigation through Marzano’s Taxonomy 

      Cervantes-Perez, 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 ...
    • Big Data & eLearning: A Binomial to the Future of the Knowledge Society 

      Alonso Secades, Vidal; Arranz, Olga (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2016)
      There is no doubt that in what refers to the educational area, technology is producing a series of changes that will greatly affect our near future. The increase of students experiences in the new educational systems in ...
    • Big Data and Health Economics: Opportunities, Challenges and Risks 

      Bodas-Sagi, Diego; Labeaga, José (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2018)
      Big Data offers opportunities in many fields. Healthcare is not an exception. In this paper we summarize the possibilities of Big Data and Big Data technologies to offer useful information to policy makers. In a world with ...
    • Big Data and Learning Analytics in Blended Learning Environments: Benefits and Concerns 

      Picciano, Anthony G. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2014)
      The purpose of this article is to examine big data and learning analytics in blended learning environments. It will examine the nature of these concepts, provide basic definitions, and identify the benefits and concerns ...
    • Big Data and Public Health Systems: Issues and Opportunities 

      Rojas, David; Carnicero, Javier (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2018)
      Over the last years, the need for changing the current model of European public health systems has been repeatedly addressed, in order to ensure their sustainability. Following this line, IT has always been referred to as ...
    • BILROST: Handling Actuators of the Internet of Things through Tweets on Twitter using a Domain- Specific Language 

      Meana-Llorián, Daniel; González García, Cristian; Pelayo García-Bustelo, B. 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 ...
    • Binary Multi-Verse Optimization (BMVO) Approaches for Feature Selection 

      Hans, Rahul; Kaur, Harjot (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2020)
      Multi-Verse Optimization (MVO) is one of the newest meta-heuristic optimization algorithms which imitates the theory of Multi-Verse in Physics and resembles the interaction among the various universes. In problem domains ...
    • Biomedical Term Extraction: NLP Techniques in Computational Medicine 

      Redondo, Teófilo; Díaz, Julia; Moreno Sandoval, Antonio; Campillos Llanos, Leonardo (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2019)
      Artificial Intelligence (AI) and its branch Natural Language Processing (NLP) in particular are main contributors to recent advances in classifying documentation and extracting information from assorted fields, Medicine ...
    • Biometry, the safe key 

      Fraile Hurtado, María; Herrero Langreo, Miguel; Menéndez de Miguel, Pilar; Delgado Villanueva, Valerio (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2010)
      Biometry is the next step in authentication, why do not we take this stepforward in our communication security systems? Keys are the main disadvantage in the cryptography, what if we were our own key?
    • 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 ...
    • Blockchain for Healthcare: Securing Patient Data and Enabling Trusted Artificial Intelligence 

      Jennath, H. S.; Anoop, V S; Asharaf, S (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2020)
      Advances in information technology are digitizing the healthcare domain with the aim of improved medical services, diagnostics, continuous monitoring using wearables, etc., at reduced costs. This digitization improves the ...
    • Blockchain-Enabled Platforms: Challenges and Recommendations 

      García Sáez, M. Inmaculada (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2020)
      Not even a tenth of blockchain-enabled platforms survive their first anniversary. The volatility of cryptomarkets has brought negative attention and led some to question the applicability of blockchain technology. This ...
    • Blockverse: A Cloud Blockchain-based Platform for Tracking in Affiliate Systems 

      Baldominos Gómez, Alejandro; López-Sánchez, J. L.; Acevedo-Aguilar, M. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2020)
      Affiliate systems are a crucial piece of today’s online advertising. In affiliate systems, web traffic is directed from certain sites displaying ads to the websites of those company whose products or services are advertised. ...
    • 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 ...
    • BPLOM: BPM Level-Oriented Methodology for Incremental Business Process Modeling and Code Generation on Mobile Platforms 

      Solís-Martínez, Jaime; García-Menéndez, Natalia; Pelayo García-Bustelo, B. Cristina; Cueva Lovelle, Juan Manuel (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2013)
      The requirements engineering phase is the departure point for the development process of any kind of computer application, it determines the functionality needed in the working scenario of the program. Although this is a ...
    • Brain Computer Interface for Micro-controller Driven Robot Based on Emotiv Sensors 

      Asawa, Krishna; Gargava, Parth (https://ijimai.org/journal/bibcite/reference/2594, 09/2017)
      A Brain Computer Interface (BCI) is developed to navigate a micro-controller based robot using Emotiv sensors. The BCI system has a pipeline of 5 stages- signal acquisition, pre-processing, feature extraction, classification ...
    • Brain Tumor Classification Using a Pre-Trained Auxiliary Classifying Style-Based Generative Adversarial Network 

      Kumaar, M. Akshay; Samiayya, Duraimurugan; Rajinikanth, Venkatesan; Raj Vincent P M, Durai; Kadry, Seifedine (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 02/2023)
      Computer Vision's applications and their use cases in the medical field have grown vastly in the past decade. The algorithms involved in these critical applications have helped doctors and surgeons perform procedures on ...
    • 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 ...