1,720,966 research outputs found
Mining Frequent Itemsets over Vertical Probabilistic Dataset Using FuzzyUeclat Algorithm
No full text
Ordered weighted averaging operator used to enhance the accuracy of fuzzy predictor based on genetic algorithm
No full textA Descriptive Study on Wireless Sensor Networks (WSNs) using Cloud Computing (CC)
No full text<p><i>This paper presents a descriptive study on Wireless Sensor Networks (WSNs) using Cloud Computing (CC). WSNs are widely used in various applications, including environmental monitoring, industrial automation, and healthcare. However, WSNs face several challenges, such as limited storage capacity, processing power, and energy constraints. Cloud Computing (CC) provides a viable solution to overcome these challenges by providing a scalable, cost-effective, and on-demand computing platform for WSNs.</i></p><p><i>The paper examines the benefits and challenges of using Cloud Computing (CC) in WSNs. Moreover, the study analyzes the current trends and future directions of cloud-based WSNs, including the use of edge computing, machine learning, and artificial intelligence. The paper also discusses the security and privacy concerns associated with cloud-based WSNs and examines the different security solutions and best practices to ensure the security and privacy of WSNs.</i></p><p><i>Overall, this descriptive study provides valuable insights into the integration of Cloud Computing (CC) with Wireless Sensor Networks (WSNs) and highlights the potential of cloud-based WSNs to transform various industries and domains. The study serves as a useful resource for researchers, practitioners, and organizations interested in leveraging the power of Cloud Computing (CC) for Wireless Sensor Networks (WSNs).</i></p>
Ordered weighted averaging operator used to enhance the accuracy of fuzzy predictor based on genetic algorithm
No full text
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
- …
