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Inventi Rapid - Artificial Intelligence

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    Journal Scope:

    Quarterly published in print and online ‘Inventi Rapid/Impact: Artificial Intelligence’ publishes high quality unpublished as well as high impact pre-published research and reviews catering to the needs of researchers and professionals. It focuses on multidimensional aspects of artificial intelligence, particularly - artificial intelligence and philosophy, automated reasoning and inference, cognitive aspects of AI, commonsense reasoning, intelligent robotics, etc.

  • MACHINE LEARNING TOOL FOR HEART DISEASE PREDICTION
    Hrishikesh Sarma*, Shakti Singh, Ashutosh Mandal, Jinali Virolia, Monika Sandhane    Download Full Text

    Globally, heart diseases are the number one cause of death. About 80% of deaths occurred in low- and middle-income countries. WHO estimated by 2030, almost 23.6 million people will die due to heart disease. The healthcare industry generally clinical diagnosis is done mostly by the doctor’s expertise and experience. Computer-aided decision support system plays a major role in the medical field. T...

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  • LEVENBERG-MARQUARDT (LM) ALGORITHM BASED STLF NEURO-WAVELET MODEL
    D A Kapgate*, Soni Chaturvedi, P S Raut    Download Full Text

    For better cost effective risk management plans, the accuracy of the electricity load forecast in the is crucial in providing, this paper proposes a Short Term Electricity Load Forecast (STLF) model with a high forecasting accuracy. A cascaded forward BPN neuro-wavelet forecast model is adopted to perform the STLF. The model is composed of several neural networks whose data are processed using a w...

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  • A REPRESENTATION OF TREE STRUCTURE WEB LOG AND MINING
    Nitin Khachane*, Pritam Gohatre    Download Full Text

    Recent approaches in web log data representation aim to capture the user navigational patterns with respect to the overall structure of the web site. One such representation is tree-structured log files which is the focus of this work. Most existing methods for analyzing such data are based on the use of frequent sub tree mining techniques to extract frequent user activity and navigational paths. ...

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