Currently, the coding efficacy of cutting-edge video standard H.266/VVC surpasses that 3D-HEVC (3D-High Efficiency Video Coding), but existing VVC (Versatile Coding) low-complexity algorithm is mainly optimized for 2D and cannot fully utilize characteristics depth map itself. Based on this, we propose a fast decision employing CNN (Convolutional Neural Network)-LNN (Lightweight Network) model t...

Decomposition is a tool for managing complexity in data mining and enhancing the quality of knowledge extracted form large databases. A typology of decomposition approaches applicable to data mining is presented. One of the decomposition approaches, the structured rule-feature matrix, is used as the backbone of a system for informed decision-making. Such a system can be implemented as a decisio...

This paper explores the possibilities of adopting Business Intelligence (BI), and Geographic Information System (GIS) to build a spatial intelligence and predictive analytical approach. The proposed approach will help in solving spatial problem which faces decision makers at health sector. The proposed spatial analytical approach will cover three main health planning issues. These issues are ta...

The general aim of multi-focus image fusion is to gather focused regions different images generate a unique all-in-focus fused image. Deep learning based methods become the mainstream by virtue its powerful feature representation ability. However, most existing deep structures failed balance quality and end-to-end implementation convenience. End-to-end decoder design often leads unrealistic res...

Decision tables are a widely used knowledge management tool in the decision making process. Ambiguity and conceptual reasoning difficulties arise while designing large decision tables in a collaborative environment. We introduce the notion of Semantic Decision Table (SDT), which enhances a decision table with explicit decision semantics by annotating it properly with a domain ontology. In this ...

Energy is a critical factor to obtain a sustainable development for countries and governments. Selection of the most appropriate energy alternative is a completely critical and a complex decision making problem. In this paper, an integrated multi-criteria decision-making (MCDM) methodology based on type-2 fuzzy sets is proposed for selection among energy alternatives. Then a roadmap has been cr...

Local climate zones (LCZ), which are widely used in urban heat island studies, include climate-based classification of the city to determine climatic differences metropolitan area. Therefore, mapping methods have been developed visualise LCZ classes. Compared raster-based method, vector-based makes a more precise and accurate evaluation, is not due difficulty creating obtaining dataset. This st...

Navigation systems providing route-guidance and traffic information are one of the most widely used driver-support systems these days. Most navigation systems are based on the map paradigm which plots the driving route in an abstracted version of a two-dimensional electronic map. Recently, a new navigation paradigm was introduced that is based on the augmented reality (AR) paradigm which displa...