• A fuzzy c-means bi-sonar-based Metaheuristic Optimization Algorithm 

      Khan, Koffka; Sahai, Ashok (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2012)
      Fuzzy clustering is an important problem which is the subject of active research in several real world applications. Fuzzy c-means (FCM) algorithm is one of the most popular fuzzy clustering techniques because it is ...
    • An Effective Tool for the Experts' Recommendation Based on PROMETHEE II and Negotiation: Application to the Industrial Maintenance 

      Houari, Nawal Sad; Taghezout, Noria (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      In this article, we propose an expert recommendation tool that relies on the skills of experts and their interventions in collaboration. This tool provides us with a list of the most appropriate (effective) experts to solve ...
    • An Intelligent Technique for Grape Fanleaf Virus Detection 

      Mohammadpoor, Mojtaba; Nooghabi, Mohadese Gerami; Ahmedi, Zahra (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2020)
      Grapevine Fanleaf Virus (GFLV) is one of the most important viral diseases of grapes, which can damage up to 85% of the crop, if not treated at the right time. The aim of this study is to identify infected leaves with GFLV ...
    • Analyzing the EEG Signals in Order to Estimate the Depth of Anesthesia using Wavelet and Fuzzy Neural Networks 

      Esmaeilpour, Mansour; Mohammadi, Ali Reis Ali (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2016)
      Estimating depth of Anesthesia in patients with the objective to administer the right dosage of drug has always attracted the attention of specialists. To study Anesthesia, researchers analyze brain waves since this is the ...
    • Anomaly based Intrusion Detection using Modified Fuzzy Clustering 

      Harish, B S; Kumar, S V A (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2017)
      This paper presents a network anomaly detection method based on fuzzy clustering. Computer security has become an increasingly vital field in computer science in response to the proliferation of private sensitive information. ...
    • Automated ECG Analysis for Localizing Thrombus in Culprit Artery Using Rule Based Information Fuzzy Network 

      Harish, B S; Roopa, C K (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2020)
      Cardio-vascular diseases are one of the foremost causes of mortality in today’s world. The prognosis for cardiovascular diseases is usually done by ECG signal, which is a simple 12-lead Electrocardiogram (ECG) that gives ...
    • Fuzzy C-Means Clustering with Histogram based Cluster Selection for Skin Lesion Segmentation using Non-Dermoscopic Images 

      Devi, Salam Shuleenda; Laskar, Rabul Hussain; Singh, Ngangbam Herojit (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2020)
      Purpose – Pre-screening of skin lesion for malignancy is highly demanded as melanoma being a life-threatening skin cancer due to unpaired DNA damage. In this paper, lesion segmentation based on Fuzzy C-Means clustering ...
    • Mamdani Fuzzy Expert System Based Directional Relaying Approach for Six-Phase Transmission Line 

      Kumar, Naresh; Sanjay, Ch.; Chakravarthy, M (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2020)
      Traditional directional relaying methods for 6-phase transmission lines have complex effort, and so there is still a need for novel direction relaying estimation scheme. This study presents a Mamdani-fuzzy expert system ...
    • Smart Algorithms to Control a Variable Speed Wind Turbine 

      Farhane, Nabil; Boumhidi, Ismail; Boumhidi, Jaouad (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2017)
      In this paper, a robust adaptive fuzzy neural network sliding mode (AFNNSM) control design is proposed to maximize the captured energy for a variable speed wind turbine and to minimize the efforts of the drive shaft. Fuzzy ...