1. DEVELOPMENT OF ENHANCED BAYESIAN MODEL FOR DETECTION OF COVERT MEMBERS IN CRIMINAL NETWORKS USING TELECOMMUNICATION METADATA
ABSTRACT
Crime has become a global challenge in recent times. The phenomenon has become a difficult task that military war-fare approach alone can address effectively without intelligence. Criminal intelligence involves gathering data on criminal activities and participants for preparin...
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2. An Examination of Statistical Models in Predicting Tuberculosis Prevalence in Kano State
Background of the Study
Tuberculosis (TB) remains a major public health concern in Nigeria, ranking among the top 10 causes of mortality and morbidity in the country (WHO, 2024). Kano State, located in northern Nigeria, has one of the highest TB prevalence rates due to factors such as p...
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