Mostrando ítems 1-18 de 18

    • A Feature Extraction Method Based on Feature Fusion and its Application in the Text-Driven Failure Diagnosis Field 

      Zhou, Shenghan; Chen, Bang; Zhang, Yue; Liu, HouXiang; Xiao, Yiyong; Pan, Xing (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2020)
      As a basic task in NLP (Natural Language Processing), feature extraction directly determines the quality of text clustering and text classification. However, the commonly used TF-IDF (Term Frequency & Inverse Document ...
    • A Fine-Grained Model to Assess Learner-Content and Methodology Satisfaction in Distance Education 

      Cantabella, Magdalena; Martínez-España, Raquel; López, Belén; Muñoz, Andrés (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2020)
      Learning Management System (LMS) platforms have led to a transformation in Universities in the last decade, helping them to adapt and expand their services to new technological challenges. These platforms have made possible ...
    • An Elitist Non-Dominated Multi-Objective Genetic Algorithm Based Temperature Aware Circuit Synthesis 

      Das, Apangshu; Pradhan, Sambhu Nath (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2020)
      At sub-nanometre technology, temperature is one of the important design parameters to be taken care of during the target implementation for the circuit for its long term and reliable operation. High device package density ...
    • Assessed by Machines: Development of a TAM-Based Tool to Measure AI-based Assessment Acceptance Among Students 

      Sánchez-Prieto, José Carlos; Cruz-Benito, Juan; Therón, Roberto; García-Peñalvo, Francisco (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2020)
      In recent years, the use of more and more technology in education has been a trend. The shift of traditional learning procedures into more online and tech-ish approaches has contributed to a context that can favor integrating ...
    • 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 ...
    • Data Science Techniques for COVID-19 in Intensive Care Units 

      Muñoz Lezcano, Sergio; López Hernández, Fernando Carlos; Corbi, Alberto (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2020)
      Data scientists aim to provide techniques and tools to the clinicians to manage the new coronavirus disease. Nowadays, new emerging tools based on Artificial Intelligence (AI), Image Processing (IP) and Machine Learning ...
    • Deep Learning-based Side Channel Attack on HMAC SM3 

      Jin, Xin; Xiao, Yong; Li, Shiqi; Wang, Suying (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2020)
      SM3 is a Chinese hash standard. HMAC SM3 uses a secret key to encrypt the input text and gives an output as the HMAC of the input text. If the key is recovered, adversaries can easily forge a valid HMAC. We can choose ...
    • Deraining and Desnowing Algorithm on Adaptive Tolerance and Dual-tree Complex Wavelet Fusion 

      Zang, Jingfeng; Xu, Ningxue; Liu, Riu; Shi, Yuhuan (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2020)
      Severe weather conditions such as rain and snow often reduce the visual perception quality of the video image system, the traditional methods of deraining and desnowing usually rarely consider adaptive parameters. In order ...
    • Editor’s Note 

      García, Vicente; Wu, Shaofei (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2020)
      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 ...
    • Function Analysis of Industrial Robot under Cubic Polynomial Interpolation in Animation Simulation Environment 

      Li, You; Wang, Juan; Ji, Yiming (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2020)
      In order to study the effect of cubic polynomial interpolation in the trajectory planning of polishing robot manipulator, firstly, the articular robot operating arm is taken as the research object, and the overall system ...
    • Machine Learning Based Method for Estimating Energy Losses in Large-Scale Unbalanced Distribution Systems with Photovoltaics 

      Mahmoud, Karar; Abdel-Nasser, Mohamed; Kashef, Heba; Puig, Domenec; Lehtonen, Matti (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2020)
      In the recent years, the penetration of photovoltaics (PV) has obviously been increased in unbalanced power distribution systems. Driven by this trend, comprehensive simulation tools are required to accurately analyze ...
    • Multi Layered Multi Task Marker Based Interaction in Information Rich Virtual Environments 

      Rehman, I; Ullah, S; Khan, Dawar (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2020)
      Simple and cheap interaction has a key role in the operation and exploration of any Virtual Environment (VE). In this paper, we propose an interaction technique that provides two different ways of interaction (information ...
    • Multi-sense Embeddings Using Synonym Sets and Hypernym Information from Wordnet 

      Prasad Mudigonda, Krishna Siva; Sharma, Poonam (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2020)
      Word embedding approaches increased the efficiency of natural language processing (NLP) tasks. Traditional word embeddings though robust for many NLP activities, do not handle polysemy of words. The tasks of semantic ...
    • Rumour Source Detection Using Game Theory 

      Jain, Minni; Jaswani, Aman; Mehra, Ankita; Mudgal, Laqshay (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2020)
      Social networks have become a critical part of our lives as they enable us to interact with a lot of people. These networks have become the main sources for creating, sharing and also extracting information regarding various ...
    • Solving an Optimal Control Problem of Cancer Treatment by Artificial Neural Networks 

      Heydarpour, F.; Abbasi, E.; Ebadi, M. J.; Karbassi, S. M. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2020)
      Cancer is an uncontrollable growth of abnormal cells in any tissue of the body. Many researchers have focused on machine learning and artificial intelligence (AI) based on approaches for cancer treatment. Dissimilar to ...
    • TD2SecIoT: Temporal, Data-Driven and Dynamic Network Layer Based Security Architecture for Industrial IoT 

      Dejene, Dawit; Tiwari, Basant; Tiwari, Vivek (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2020)
      The Internet of Things (IoT) is an emerging technology, which comprises wireless smart sensors and actuators. Nowadays, IoT is implemented in different areas such as Smart Homes, Smart Cities, Smart Industries, Military, ...
    • The Construction Site Management of Concrete Prefabricated Buildings by ISM-ANP Network Structure Model and BIM under Big Data Text Mining Analytic Network Process (ANP) 

      Xu, Guiming (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2020)
      In the construction industry, prefabricated buildings have developed rapidly in recent years due to their various excellent properties. To expand the application of big data text mining and Building Information Model (BIM) ...
    • The Possibilities of Classification of Emotional States Based on User Behavioral Characteristics 

      Magdin, Martin; Držík, D.; Reichel, J.; Koprda, S . (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2020)
      The classification of user's emotions based on their behavioral characteristic, namely their keyboard typing and mouse usage pattern is an effective and non-invasive way of gathering user's data without imposing any ...