We present a novel multi-modal evidence fusion method for highlevel feature (HLF) detection in videos. The uni-modal features, such as color histogram, transcript texts, etc, tend to capture different aspects of HLFs and hence share complementariness and redundancy in modeling the contents of such HLFs. We argue that such inter-relation are key to effective multi-modal fusion. Here, we formulat...

Cell-based Multicriteria Evaluation (MCE) methods are used to analyse the land suitability evaluation. Land evaluation is carried out to estimate the suitability of land for a specific use such as arable farming or irrigated agriculture. land suitability evaluation is a prerequisite for land-use planning and development (Sys 1985; Van Ranst and others 1996). It provides information on the const...

Biomedical signal monitoring and recording are an integral part of medical diagnosis treatment control mechanisms. For this, enhanced signals with appropriate peak preservation required. The OWA (OrderedWeighted Aggregation) Filter used in this paper helps non-linear filtering peaks for accurate diagnosis. Weights important aspect the filter, Gaussian method KDE (Kernel Density Estimation) func...

This study aims at determining the elemental concentrations of Cu, Zn, Cr, Pb, Ni, Co and Cd in the sediment samples from Odo-Owa and Yemoji streams in Ijebu-Ode Local Government Area (L.G.A), South Western (SW) Nigeria, using Atomic Absorption Spectrophotometer and comparing the concentration of these metals in the two streams with other studies and with acceptable concentration values for met...

The wireless industry is rapidly transitioning from proprietary architecture to more flexible, cost effective open wireless architecture (OWA) systems. This transition is creating interesting challenges for developers, manufacturers, integrators, operators and end-users as they wrestle with complexities of open wireless systems. Fourth Generation (4G) Mobile Communications should not focus only...

In this paper, we first review existing fuzzy extensions of the dominance-based rough set approach (DRSA), and advance theory considering additional properties. Moreover, examine application Ordered Weighted Average (OWA) operators to DRSA. OWA have shown a lot potential in handling outliers noisy data decision tables, when they are combined with indiscernibility-based (IRSA). We theoretical pr...

Social media are an essential source of meaningful data that can be used in different tasks such as sentiment analysis and emotion recognition. Mostly, these solved with deep learning methods. Due to the fuzzy nature textual data, we consider using classification methods based on rough sets.Specifically, develop approach for SemEval-2018 detection task, nearest neighbour (FRNN) classifier enhan...

The OWA operators gained interest among researchers as they provide a continuum of aggregation operators able to cover the whole range of compensation between the minimum and the maximum. In some circumstances, it is useful to consider a wider range of values, extending below the minimum and over the maximum. ST-OWA are able to surpass the boundaries of variation of ordinary compensatory operat...