systems thinking is not a new concept to health system strengthening; however, one question remains unanswered: how policy-makers, system designers and consultants with a system thinking philosophy should act (have acted) as potential change agents in actually gaining opportunities to introduce systems thinking? development of comprehensive multi-year plans (cmyps) for immunization system is on...

We describe the architecture and implementation of our comprehensive multi-platform collaboration framework known as Columbia InterNet Extensible Multimedia Architecture (CINEMA). It provides a distributed architecture for collaboration using synchronous communications like multimedia conferencing, instant messaging, shared web-browsing, and asynchronous communications like discussion forums, s...

In the era of Big Data, integrating information from multiple sources has proven valuable in various fields. To ensure a high-quality supply multi-source data, repairing different types errors data becomes critical. This paper categorizes into entity overlapping, attribute value conflicts, and inconsistencies. We first summarize existing methods for these then examine review study detection rep...

Multi-view Comprehensive Representation Learning (MCRL) aims to synthesize information from multiple views learn comprehensive representations of data items. Prevalent deep MCRL methods typically concatenate synergistic view-specific or average aligned in the fusion stage. However, performance inevitably degenerate even fail when partial are missing real-world applications; based usually cannot...

Multi-Objective Evolutionary Algorithms (MOEAs) are powerful search techniques that have been extensively used to solve difficult problems in a wide variety of disciplines. However, they can be very demanding terms computational resources. Parallel implementations MOEAs (pMOEAs) provide considerable gains regarding performance and scalability and, therefore, their relevance tackling computation...

Multi-label classification (MLC) has recently attracted increasing interest in the machine learning community. Several studies provide surveys of methods and datasets for MLC, a few empirical comparisons MLC methods. However, they are limited number considered. This paper provides comprehensive investigation wide range on wealth from different domains. More specifically, our study evaluates 26 ...

Abstract There has been an exponential growth in the amount of visual data on a daily basis acquired from single or multi-view surveillance camera networks. This massive requires efficient mechanisms such as video summarization to ensure that only significant are reported and redundancy is reduced. Multi-view (MVS) less redundant more concise way providing information content all cameras form e...