Latest Articles - Volume 8 No. 2

  • Advantages and Challeging in E Agriculture

    Introduction E-Agriculture is an emerging field focusing on the enhancement of agricultural and rural development through improved information and communication processes. More specifically, e-Agriculture involves the conceptualization, design, development, evaluation and application of innovative ways to use information and communication technologies (IT) in the rural domain, with a primary focus

    Rajkumar M. Chauhan

  • An Emerging Trend of Big Data for High Volume and Varieties of Data to Search of Agricultural Data

    Introduction In the past, the types of information available were limited. Approach to technology has a well-defined set Information management. But in today’s world, our world has been the explosion of data volumes. It is Terabytes and petabytes. The large existing data from different databases relational data stored in Big

    Parag Shukla1, Bankim Radadiya2 and Kishor Atkotiya3

  • A Flexible Conceptual Framework for Supporting Collaborative Work

    Introduction For the last century, there has been a substantial growth in e-business systems and applications. Yet there has not been a similar growth in applications that facilitate connectivity among employees [1]. Many researchers in this field are promoting the activity-based collaboration as an effective way to transfer productive knowledge

    Aiman Turani

  • A Novel Approach to Group Research Proposal and Allocate the Research Reviewer by Using Text-Mining and Clustering

    Introduction Research Project Selection is very important aspect in process of selection the research project selection. For that before we select any of the research proposals it needs to be grouped for the better project selection. So in this paper we introduce one technique for grouping of the research proposals

    Geeta Dangar*, Vipul Vekariya, Daxa Vekariya

  • Empirically Implementation Adaboost to Solve Ambiguity

    Introduction One of natural language processing applications is word sense disambiguation. There are two main ways to identify meaning of word correctly: Supervised Approach Where along with the algorithm context is used to train system to identify word correctly. Adaboost, is theoretical approach for learning model called probably Approximately correct

    Boshra F. Zopon AL Bayaty1, Shashank Joshi2