Smart manufacturing refers to optimization techniques that are implemented in production operations by utilizing advanced analytics approaches. With the widespread increase deploying industrial internet of things ( IIOT ) sensors processes, there is a progressive need for optimal and effective approaches data management. Embracing machine learning artificial intelligence take advantage can lead efficient intelligent automation. In this paper, we conduct comprehensive analysis based on...

Cloud can be defined as a new computing paradigm that provides scalable, on-demand, and virtualized resources for users. In this style of computing, users access shared pool which are provisioned with minimal management efforts Yet there some obstacles concerns about the use clouds. Guaranteeing quality service U+0028 QoS U+0029 by providers regarded one main companies tending to it. Service provisioning in clouds is based on level agreements representing contract negotiated between...

Data volume grows explosively with the proliferation of powerful smartphones and innovative mobile applications. The ability to accurately extensively monitor analyze these data is necessary. Much concern in cellular analysis related human beings their behaviours. Due potential value that lies behind massive data, there have been different proposed approaches for understanding corresponding patterns. To end, analyzing people's activities, e.g., counting them at fixed locations tracking by...

The percentage of processed large-scale heterogeneous data is exploding and technology the most obvious reason for big issue. Nowadays, results expansion are showing up in different fields. users' contextual valuable engineering business domains, e.g., transportation, location-based services, advertisement industry. Take mobile phones as an example. There billions subscriptions worldwide sensor devices digitizing people interactions. volume generated by need to make better, fact-based,...

The Internet of Things (IoT) is a paradigm characterized by network embedded sensors and services. These are incorporated to collect various information, track physical conditions, e.g., waste bins' status, exchange data with different centralized platforms. need for such increasing; however, proliferation technologies comes challenges. For example, how can IoT its associated be used enhance management? In smart cities, an efficient management system crucial. Artificial Intelligence (AI)...

Social media services such as TripAdvisor and Foursquare can provide opportunities for users to exchange their opinions about urban green space (UGS). Visitors experiences with parks, woods, wetlands in social communities via networks. In this work, we implement a unified topic modeling approach reveal UGS characteristics. Leveraging Artificial Intelligence techniques opinion mining using the mentioned platforms (e.g., Foursquare) reviews is novel application quality assessments. We show how...

Mobile phones have emerged as an essential part of people's lives. The data produced from them can be utilized to derive the spatio-temporal information their users' whereabouts. We obtain a rich set human activities, interactions, social relationships, and mobility. Hence, it has been possible explore these sources with applications ranging disaster management disease epidemiology. In this paper, we focused on use call detail records interpret patterns embedded in interaction flows people...

Continued population growth and urbanization is shifting research to consider the quality of urban green space over quantity these parks, woods, wetlands. The has been hitherto measured by expert assessments, including in-situ observations, surveys, remote sensing analyses. Location data platforms, such as TripAdvisor, can provide people's opinion on many destinations experiences, UGS. This paper leverages Artificial Intelligence techniques for mining text classification using platform's...

Transport emissions, including road, rail, air, and marine transportation, account for a large part of the overall emissions; hence, there is need to review strategies managing associated issues coping with negative impacts. A simultaneous improvement in economic efficiency can help us achieve our desired objectives concerned context. Sharing economy, i.e., peer-to-peer-based sharing access assets, reduce total resources required consequently carbon footprints. In line this objective, we...

Most of the techniques involved in customer clustering and segmentation are based on conventional methods quantitative analysis or traditional data mining approaches such as K-Means algorithm. However, artificial neural networks (ANNs), evolutionary algorithms, fuzzy can be more efficient since they reveal nonlinear patterns. They also seem to robust coping with noise-related issues relevant noise handling operations. do not make any statistical distributional assumptions regarding nature...

Abstract Spatial analysis ranges from simple univariate descriptive statistics to complex multivariate analyses and is typically used investigate spatial patterns or identify spatially linked consumer behaviours in insurance. This paper investigates if the incorporation of publicly available demographic census data at population level useful modelling customers’ lapse behaviour (i.e. stopping payment premiums) life insurance policies, based on provided by an company Ireland. From company’s...

In LED semiconductor manufacturing, it is important to evaluate the wafer reflectance in order validate quality of wafers. this work, a learning model based on K-means clustering and neural networks proposed analyze relationship between etching parameters under complex environment. The implemented algorithm used cluster historical data reduce effect caused by different processing environments. Then, for each obtained cluster, network developed learn reflectance. Finally, real case study from...

Spatiotemporal analysis ranges from simple univariate descriptive statistics to more complex multivariate analyses. Such an can be used explore spatial and temporal patterns in different domains, i.e., information of subscribers Internet Things networks. Most techniques are based on conventional quantitative traditional data mining approaches, such as the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$k$...

With the increasing amount of information, percentage processed large-scale heterogeneous data is rapidly growing. Take mobile phones as an example. Due to their various sensors, high presence among people, and cost-effectiveness, they are becoming very popular. This has made it easy obtain users' contextual whose collection can be valuable in engineering business domains, e.g., transportation, location-based services, advertisement industry. The volume generated by need analyze information...

Since the last decade mobile phones have changed people's lives. Mobile phone data can be utilized to derive spatio-temporal of subscriptions' whereabouts. It has been possible study mobility and traffic estimation with applications ranging from disaster management disease epidemiology. In this work, we focused on use Call Detail Records (CDRs) explore interpret patterns embedded in interaction flows people through their calls. To do so, consider geographical context cell towers discover...

Telecommunication data has provided new opportunities for both businesses and academia to analyze subscribers' behavioral patterns. Recently, there have been many changes in this industry, i.e., lessening of market regulations/restrictions exchange greater participation. New services, emerging technologies, competitive offerings are factors causing customers move different companies. In work, we intend develop a logistic regression model tailored telecommunication company Macau by...

Recently, considerable effort has been devoted to applying new techniques such as Artificial Intelligence (AI) and machine learning in manufacturing systems. Implementing effi-cient fault detection diagnosis procedure for systems can provide manufacturers with significant advantages, e.g., enhancing product quality yield while reducing cost. Maximizing efficiency controlling costs is the goal of every operation. Optimization methods like Evolutionary Algorithms be considered modeling...

SYNOPTIC ABSTRACTThe current study examines a queuing system with two incongruent arrivals and services. In this regard, types of customers enter the by Poisson process service times are assumed to have exponential distributions. After first is completed, may provide feedback repeat service, leave system, or continue give second service. The same policy utilized for other kind customers. whole stochastic processes involved in considered as independent random variables. A probability...

Smart Manufacturing refers to optimization techniques that are implemented in production operations by utilizing advanced analytics approaches. With the widespread increase deploying Industrial Internet of Things (IIoT) sensors manufacturing processes, there is a progressive need for optimal and effective approaches data management. Embracing Machine Learning Artificial Intelligence take advantage can lead efficient intelligent automation. In this paper, we conduct comprehensive analysis...

A queuing system with two incongruent arrivals and services is considered. Two kinds of customers enter the by Poisson process service times are assumed to have general distribution. After first kind completion, it may feedback repeat service, leave or go give second service. The same policy applied for other customer. All stochastic processes involved in this independent. We derive probability generating function each that yield performance measures. Some numerical approaches examined...

Data volume grows explosively with the proliferation of powerful smartphones and innovative mobile applications. The ability to accurately extensively monitor analyze these data is necessary. Much concern in analysis related human beings their behaviours. Due potential value that lies behind massive data, there have been different proposed approaches for understanding corresponding patterns. To end, monitoring people's interactions, whether counting them at fixed locations or tracking by...