BEMO: A PARSIMONIOUS BIG DATA MINING METHODOLOGY

BEMO: A Parsimonious Big Data Mining Methodology

The Problem: Standardized processes are often followed to systematically conduct data mining projects.However while current models provide good descriptions, they are in need of updates given current Big Data CARDS challenges.Current data mining methods do not meet all requirements of businesses, in addition current methods are difficult to remembe

read more

Deep Deblurring Correlation Filter for Object Tracking

Motion blur is a quite tricky issue in object tracking community.In recent years, many trackers have been explored to address this issue without sensational performance.This paper proposes a novel correlation tracking framework with Recurrent Neural Network (RNN) deblurnet and proposal detection to handle motion blur Pet Supplies and heavy occlusio

read more

Variation of Gene Expression in the Endemic Dinaric Karst Cave-Dwelling Bivalve Mollusk Congeria kusceri during the Summer Season

The cave systems of the Neretva River basin in the Dinaric Karst are home to Congeria kusceri, one of the very few known examples of stygobiotic bivalve mollusks, which displays several unique life history traits and adaptations that allowed its adaptation to the subterranean environment.This endemic species is undergoing rapid decline, most likely

read more

Pasta waste in the feeding of meat quail

Abstract This study was toothbrush undertaken to investigate the performance, carcass characteristics, and economic viability of diets including pasta waste in meal form (PWM) for quail.A total of 450 unsexed meat quail (Coturnix coturnix coturnix) were distributed into five treatments (0, 10, 20, 30, and 40% inclusion of PWM) in a completely rando

read more