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Enhancing shopping experiences in smart retailing
The retailing market has undergone a paradigm-shift in the last decades, departing from its traditional form of shopping in brick-and-mortar stores...
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A location history-aware recommender system for smart retail environments
Recommender systems (RSs) represent integral parts of e-commerce platforms for almost two decades now. The recent emergence of mobile context-aware...
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Renewable Mobility in Smart Cities:TheMOVESMART Approach
The provision of efficient, sustainable, and personalized mobility services that combine a broad range of transport modes (e.g., public...
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Enhanced Buying Experiences in Smart Cities: The SMARTBUY Approach
The establishment of shopping malls and the growth of online shopping increasingly diminishes the turnover of “small”, independent retailers in urban...
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Evolutionary Computation for the Ship Routing Problem
In this chapter, we present evolutionary algorithms for solving the real time ship weather routing problem. The objectives to be minimized are the...
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Modeling, Computing and Data Handling Methodologies for Maritime Transportation
This book is one of very few in the maritime literature that solely focus on the latest developments in information technology (IT) methodologies in...
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Mobile agents-based data aggregation in WSNs: benchmarking itinerary planning approaches
Data aggregation represents one of the most challenging and well-studied subjects in the Wireless Sensor Networks (WSN) literature. The energy...
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Scenic route planning for tourists
Tourists visiting unknown destinations become increasingly dependent on mobile city guides to locate tourist services and retrieve informative...
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Energy-efficient multiple itinerary planning for mobile agents-based data aggregation in WSNs
Data aggregation is recognized as a key method for reducing the amount of network traffic and the energy consumption on wireless sensor network...
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A parallel algorithm for motion estimation in video coding using the bilinear transformation
Accurate motion estimation between frames is important for drastically reducing data redundancy in video coding. However, advanced motion estimation...
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An image processing inspired mobile sink solution for energy efficient data gathering in wireless sensor networks
This paper presents a gradient-based multi-hop clustering protocol combined with a mobile sink (MS) solution for efficient data gathering in wireless...
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A survey on algorithmic approaches for solving tourist trip design problems
The tourist trip design problem (TTDP) refers to a route-planning problem for tourists interested in visiting multiple points of interest (POIs)....
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Efficient Heuristics for the Time Dependent Team Orienteering Problem with Time Windows
The Time Dependent Team Orienteering Problem with Time Windows (TDTOPTW) can be used to model several real life problems. Among them, the route...
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Cluster-Based Heuristics for the Team Orienteering Problem with Time Windows
The Team Orienteering Problem with Time Windows (TOPTW) deals with deriving a number of tours comprising a subset of candidate nodes (each associated...
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Watershed-Based Clustering for Energy Efficient Data Gathering in Wireless Sensor Networks with Mobile Collector
This paper presents a clustering protocol combined with a mobile sink (MS) solution for efficient data gathering in wireless sensor networks (WSNs)....
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An approach for near-optimal distributed data fusion in wireless sensor networks
In wireless sensor networks (WSNs), a lot of sensory traffic with redundancy is produced due to massive node density and their diverse placement....
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Mobile Sinks for Information Retrieval from Cluster-Based WSN Islands
Mobile sinks (MS) mounted upon urban vehicles with fixed trajectories (e.g. buses) provide the ideal infrastructure to effectively retrieve sensory...
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Mobile Agent Middleware for Autonomic Data Fusion in Wireless Sensor Networks
Mobile agents (MAs) are referred to as autonomous application programs with the inherent ability to move from node to node towards a goal completion....
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Efficient parallel Text Retrieval techniques on Bulk Synchronous Parallel (BSP)/Coarse Grained Multicomputers (CGM)
In this paper, we present efficient, scalable, and portable parallel algorithms for the off-line clustering, the on-line retrieval and the update...
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Interactive Cluster-Based Personalized Retrieval on Large Document Collections
Lately, many systems and websites add personalization functionalities among their provided services. However, for large document collections it is...