Mostrando ítems 17-36 de 70

    • 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 ...
    • 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 ...
    • CompareML: A Novel Approach to Supporting Preliminary Data Analysis Decision Making 

      Fernández-García, Antonio Jesús; Preciado, Juan Carlos; Prieto, Álvaro E.; Sánchez-Figueroa, Fernando; Gutiérrez, Juan D. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      There are a large number of machine learning algorithms as well as a wide range of libraries and services that allow one to create predictive models. With machine learning and artificial intelligence playing a major role ...
    • Computer Entertainment Technologies for the Visually Impaired: An Overview 

      López Ibáñez, Manuel; Romero-Hernández, Alejandro; Manero, Borja; Guijarro, María (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      Over the last years, works related to accessible technologies have increased both in number and in quality. This work presents a series of articles which explore different trends in the field of accessible video games for ...
    • Content-Based Hyperspectral Image Compression Using a Multi-Depth Weighted Map With Dynamic Receptive Field Convolution 

      Pan, Shaoming; Gu, XiaoLin; Chong, Yanwen; Guo, Yuanyuan (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2022)
      In content-based image compression, the importance map guides the bit allocation based on its ability to represent the importance of image contents. In this paper, we improve the representational power of importance map ...
    • Design of Integrated Artificial Intelligence Techniques for Video Surveillance on IoT Enabled Wireless Multimedia Sensor Networks 

      Mansour, Romany F.; Soto, Carlos; Soto-Díaz, Roosvel; Escorcia Gutierrez, José; Gupta, Deepak; Khanna, Ashish (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2022)
      The recent advancements in the Internet of Things (IoT) and Wireless Multimedia Sensor Networks (WMSN) made high-speed multimedia streaming, data processing, and essential analytics processes with minimal delay. Multimedia ...
    • Detection of Improperly Worn Face Masks using Deep Learning – A Preventive Measure Against the Spread of COVID-19 

      Bhaik, Anubha; Singh, Vaishnavi; Gandotra, Ekta; Gupta, Deepak (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2022)
      Coronavirus disease 2019 has had a pressing impact on people all around the world. Ceasing the spread of this infectious disease is the urgent need of the hour. A vital method of protection against the virus is wearing ...
    • ED-Dehaze Net: Encoder and Decoder Dehaze Network 

      Zhang, Hongqi; Wei, Yixiong; Zhou, Hongqiao; Wu, Qianhao (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2022)
      The presence of haze will significantly reduce the quality of images, such as resulting in lower contrast and blurry details. This paper proposes a novel end-to-end dehazing method, called Encoder and Decoder Dehaze Network ...
    • Edge Face Recognition System Based on One-Shot Augmented Learning 

      Jiménez-Bravo, Diego M.; Lozano Murciego, Álvaro; Sales, A.; Augusto Silva, Luis; De La Iglesia, Daniel H. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2022)
      There is growing concern among users of computer systems about how their data is handled. In this sense, IT (Information Technology) professionals are not unaware of this problem and are looking for solutions to meet the ...
    • Editor's Note 

      de Paz Santana, Juan F.; Villarrubia González, Gabriel (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2022)
      The international conference “Disruptive Technologies Tech Ethics and Artificial Intelligence” (DITTET) provides a forum to present and discuss the latest scientific and technical advances and their implications in the ...
    • Editor's Note 

      Golpe, Antonio A.; Isasi, Pedro; Martín-Álvarez, Juan-Manuel; Quintana, David (03/2022)
      Machine learning (ML) is generating new opportunities for innovative research in areas apparently unrelated such as, economics, business or/and finance. Specifically, it has also been widely used in applications related ...
    • Editor's Note 

      Dey, Nilanjan (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      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 ...
    • Editor's Note 

      Shu, Lei; Rodrigues, Joel J.P.C.; Cohn, Anthony G.; Mao, Qirong; Li, Maozhen (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2022)
      As the Internet of Things (IoT) further develops and expands to the Internet of Everything (IoE), high-speed multimedia streaming data processing, analysis, and shorter response times are increasingly becoming the demands ...
    • Editor's Note 

      González-Crespo, Rubén (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2022)
      The International Journal of Interactive Multimedia and Artificial Intelligence – IJIMAI – provides an interdisciplinary forum in which scientists and professionals can share their research results and report new advances ...
    • Electromiographic Signal Processing Using Embedded Artificial Intelligence: An Adaptive Filtering Approach 

      Proaño-Guevara, Daniel; Blanco Valencia, Xiomara Patricia; Rosero-Montalvo, Paul D.; Peluffo-Ordóñez, Diego H. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2022)
      In recent times, Artificial Intelligence (AI) has become ubiquitous in technological fields, mainly due to its ability to perform computations in distributed systems or the cloud. Nevertheless, for some applications -as ...
    • Empirical Analysis of Ethical Principles Applied to Different AI Uses Cases 

      López Rivero, Alfonso José; Beato, M. Encarnación; Muñoz Martínez, César; Cortiñas Vázquez, Pedro Gonzalo (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2022)
      In this paper, we present an empirical study on the perception of the ethical challenges of artificial intelligence groups in the classification made by the European Union (EU). The study seeks to identify the ethical ...
    • ERBM-SE: Extended Restricted Boltzmann Machine for Multi-Objective Single-Channel Speech Enhancement 

      Khattak, Muhammad Irfan; Saleem, Nasir; Nawaz, Aamir; Ahmed Almani, Aftab; Umer, Farhana; Verdú, Elena (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      Machine learning-based supervised single-channel speech enhancement has achieved considerable research interest over conventional approaches. In this paper, an extended Restricted Boltzmann Machine (RBM) is proposed for ...