Background & Objective:  The present study aimed at exploring the structure of global knowledge, hidden patterns, and emerging Coronavirus events using co-word techniques. Co-word analysis is one of the most efficient scientific methods to analyze the structure and dynamics of knowledge and the general state of research.  Materials & Methods:  This applied research performed using Co-word anal...

abstractthis study examined information flow on minisett technology among yam farmers in delta state, nigeria. a sample size of 180 respondents was involved in the study. data were obtained from respondents of the study through the use of a validated interview schedule. percentage, frequency count and mean scores were used to summarize data, while line diagrams were used to develop maps of info...

Wireless sensor networks have enticed much of the spotlight from researchers all around the world, owing to its extensive applicability in agricultural, industrial and military fields. Energy conservation node deployment stratagems play a notable role for active implementation of Wireless Sensor Networks. Clustering is the approach in wireless sensor networks which improves energy efficiency in...

A hierarchical framework is proposed to address the issues of modeling different type of words in keyword spotting (KWS). Keyword models are built at various levels according to the availability of training set resources for each individual word. The proposed approach improves the performance of KWS even when no training speech is available for the keywords. It also suggests an easier way to co...

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The popularity of blogs has been increasing dramatically over the last couple of years. As topics evolve in the blogosphere, keywords align together and form the heart of various stories. Intuitively we expect that in certain contexts when there is a lot of discussion on a specific topic or event a set of keywords will be correlated: the keywords in the set will frequently appear together (pair...