Showing papers in "Computer Science Review in 2018"

TL;DR: A computer-assisted literature review, where the roots of sentiment analysis are in the studies on public opinion analysis at the beginning of 20th century and in the text subjectivity analysis performed by the computational linguistics community in 1990's, and the top-20 cited papers from Google Scholar and Scopus are presented.

TL;DR: A comprehensive presentation on critical smart grid components with international standards and information technologies in the context of Industry 4.0 and an overview of different smart grid applications, their benefits, characteristics, and requirements are presented.

TL;DR: In this paper, the authors provide an overview of the Self-Sovereign Identity (SSI) concept, focusing on four different components that were identified as essential to the architecture.

TL;DR: A survey of developments and progresses made in Named Entity Recognition and Classification research is presented.

TL;DR: A survey on the latest methods of moving object detection in video sequences captured by a moving camera and presents the main methods which proposed improvements in the general concept of the techniques.

TL;DR: This survey reviews, classify and discusses several recent advances and results obtained for each variant, including theoretical complexity, exact solving algorithms, approximation schemes and heuristic approaches, and proves new complexity results and induce some solving algorithms through relationships established between different variants.

TL;DR: E-learning and proof-of-concept studies in the ecological lifestyle and sustainability, assisting computer science studies and improving motivation are the trendiest areas of gamification research.

TL;DR: The survey attempts to match this emerging attention with the provision of fundamental basis and theoretical details of state-of-the-art methods found in the present literature, which yields the ranges of ensemble generation strategies, summarization and representation of ensemble members, as well as the topic of consensus clustering.

TL;DR: A survey of medical images watermarking is presented and offers an evident scene for concerned researchers by analysing the robustness and limitations of various existing approaches.

TL;DR: In this article, a comprehensive survey of features used within background modeling and foreground detection is presented, and a preliminary review of the key characteristics of features based on the types and sizes is provided in addition to investigating their intrinsic spectral, spatial and temporal properties.

TL;DR: An inclusive survey on key indoor technologies and techniques is carried out with to view to explore their various benefits, limitations, and areas for improvement, and advocates hybridization of technologies as an effective approach to achieve reliable IoT-based indoor systems.

TL;DR: This survey will explore various kernels that operate on graph representations from its first appearance to discussion of current state of the art techniques in practice.

TL;DR: This research work is the first comprehensive survey on how random number generators are implemented on Field Programmable Gate Arrays (FPGAs), with a rich and up-to-date list of generators specifically mapped to FPGA.

TL;DR: This paper reviews and critically analyses legal, training, educational and intelligent anti-phishing approaches and ways to combat phishing by intelligent and conventional approaches, besides revealing these approaches differences, similarities and positive and negative aspects from the user and performance prospective.

TL;DR: This paper introduces a classification of the scheduling problem in distributed systems by presenting a taxonomy that incorporates recent developments, especially those in cloud computing, and identifies relevant future directions in scheduling for distributed systems.

TL;DR: Classification made on the parametric improvement achieved by adopting CLDs, with the dominated metrics co-related to others such as strict latency affect QoS, transmission energy optimization affect the network lifetime, routing affect latency and much more.

TL;DR: An integrative review of the literature on the professional reporting of news on Twitter, focusing on how journalists and news outlets use Twitter as a platform to disseminate news, and on the factors that impact readers’ attention and engagement with that news onTwitter is provided.

TL;DR: A comprehensive overview of the privacy solutions adopted by currently available DOSNs is provided, and the security mechanisms adopted for privacy policy management and enforcement are evaluated by discussing their advantages and drawbacks.

TL;DR: Development of large sets of benchmark image databases along with publicly available source codes or web servers are highly essential for assessing the performance of DNA based encryption algorithms solely developed for RGB color images.

TL;DR: A comprehensive, unbiased overview of the state-of-the-art on distributed VM consolidation approaches is presented to present an increasing amount of interest on developing and evaluating novel distributedVM consolidation approaches.

TL;DR: Several possible network metrics to be used for a change point detection problem are discussed and an experimental, comparative analysis using the Enron and MIT networks suggests that computationally heavy generative models offer only slightly better results compared to some of the global graph metrics.

TL;DR: A taxonomy of the fraudulent behaviour that can occur while an online auction is in-progress, and a novel “Victim Sphere” that outlines who is negatively affected by bad behaviour is presented.

TL;DR: Operator precedence languages (OPL) are returned to, an old family through which R. Floyd pioneered deterministic parsing, and it is shown that they offer unexpected properties in two fields so far investigated in totally independent ways.

TL;DR: This paper aims to identify and characterize the existing testing initiatives for SWSs by conducting a Systematic Mapping, which showed the primary goals and issues addressed by the initiatives, the testing techniques applied, evidence on the maturity of the area and trends.

TL;DR: The aim for this paper is to overview the scenario analysis field in relation to the relatively new paradigms of BigData, to clarify where scenario analysis stands today relative to the myriad of data analytics approaches.

TL;DR: Challenges of memory management in virtualized systems, different memory management techniques with their implications, and optimizations to increase memory utilization are discussed in detail.

TL;DR: The vast field of graph grammars is surveyed by classifying them according to three criteria: the number of manipulated data, the nature of data, and finally the kind of data (images, graphs, patterns, etc.).