Branding/Logomark minus Citation Combined Shape Icon/Bookmark-empty Icon/Copy Icon/Collection Icon/Close Copy 7 no author result Created with Sketch. Icon/Back Created with Sketch. Match!
Computational and Mathematical Organization Theory
Papers 460
1 page of 46 pages (460 results)
David A. Broniatowski12
Estimated H-index: 12
(GW: George Washington University),
Valerie F. Reyna60
Estimated H-index: 60
(Cornell University)
We propose, and test, a model of online media platform users’ decisions to act on, and share, received information. Specifically, we focus on how mental representations of message content drive its spread. Our model is based on fuzzy-trace theory (FTT), a leading theory of decision under risk. Per FTT, online content is mentally represented in two ways: verbatim (objective, but decontextualized, facts), and gist (subjective, but meaningful, interpretation). Although encoded in parallel, gist ten...
Samer Al-khateeb3
Estimated H-index: 3
(Creighton University),
Nitin Agarwal18
Estimated H-index: 18
(UALR: University of Arkansas at Little Rock)
In this paper, we introduce the concept of social cyber forensics and its usability. Then, we introduce a tool, i.e., Maltego that can be used to study the cross-media affiliation and uncover hidden relations among various online groups. We also provide three stepwise methodologies that leverage Maltego and various open source information to uncover the hidden relationship among (1) Twitter accounts and a set of websites/blogs; (2) websites/blogs and other websites/blogs; or (3) infer the owners...
Hafiz Syed Muhammad Muslim1
Estimated H-index: 1
(National University of Science and Technology),
Sajid Ali Khan3
Estimated H-index: 3
(Shaheed Zulfiqar Ali Bhutto Institute of Science and Technology)
+ 2 AuthorsHafiz Syed Ahmed Qasim1
Estimated H-index: 1
(National University of Science and Technology)
The emergence of computer-aided diagnostic technology has revolutionized the health sector and by use of medical imaging records, health experts are able to get detailed analysis which enable them in precise diagnosis of gliomas tumors. In this paper, we present an approach that uses domain-specific knowledge together with hybrid image enhancement techniques that provides resulting image(s) with more details and lesser noise levels. We did comparison of our KB proposed approach with existing tec...
Zineddine Kouahla1
Estimated H-index: 1
Adeel Anjum7
Estimated H-index: 7
(CUI: COMSATS Institute of Information Technology)
+ 2 AuthorsJosé Martinez5
Estimated H-index: 5
(University of Nantes)
Finding similar objects based on a query and a distance, remains a fundamental problem for many applications. The general problem of many similarity measures is to focus the search on as few elements as possible to find the answer. The index structures divides the target dataset into subsets. With large amounts of data, the volumes of the subspaces grow exponentially, that will affect the search algorithms. This problem is caused by inherent deficiencies of space partitioning, and also, the over...
Asad Habib3
Estimated H-index: 3
(Kohat University of Science and Technology),
Shahid Hussain5
Estimated H-index: 5
(CUI: COMSATS Institute of Information Technology)
+ 4 AuthorsMuhammad Imran Faisal (Federal Urdu University)
As an emerging and promising approach, crowdsourcing-based software development has become popular in many domains due to the participation of talented pool of developers in the contests, and to promote the ability of requesters (or customers) to choose the ‘wining’ solution with respect to their desired quality levels. However, due to lack of a central mechanism for team formation, continuity in the developer’s work on consecutive tasks and risk of noise in submissions of a contest, there is a ...
Asma Naseer2
Estimated H-index: 2
(National University of Computer and Emerging Sciences),
Kashif Zafar4
Estimated H-index: 4
(National University of Computer and Emerging Sciences)
Urdu optical character recognition (OCR) is a complex problem due to the nature of its script, which is cursive. Recognizing characters of different font sizes further complicates the problem. In this research, long short term memory-recurrent neural network (LSTM-RNN) and convolution neural network (CNN) are used to recognize Urdu optical characters of different font sizes. LSTM-RNN is trained on formerly extracted feature sets, which are extracted for scale invariant recognition of Urdu charac...
Toly Chen3
Estimated H-index: 3
(NCTU: National Chiao Tung University),
Chungwei Ou , Yu-Cheng Lin8
Estimated H-index: 8
(Overseas Chinese University)
Forecasting future productivity is a critical task to every organization. However, the existing methods for productivity forecasting have two problems. First, the logarithmic or log-sigmoid value, rather than the original value, of productivity is dealt with. Second, the objective functions are not consistent with those adopted in practice. To address these problems, a fuzzy polynomial fitting and mathematical programming (FPF-MP) approach are proposed in this study. The FPF-MP approach solves t...
Muhammad Jawad Rafeeq , Zia ur Rehman8
Estimated H-index: 8
+ 2 AuthorsWaqas Jadoon2
Estimated H-index: 2
The cursive nature, Nastaliq writing style and a large number of different ligatures make ligature recognition very difficult in Urdu. In this paper, we present a segmentation-free approach to holistically recognize Urdu ligatures. We first generate a rich dataset which contains 17,010 ligatures with different orientation and different degrees of noise. Secondly, the ligatures are clustered (categorized) in order to reduce the search space and make the learning robust. Finally, we employ a deep ...
Javaid Ali (University of Management and Technology, Lahore), Muhammad Saeed (University of Management and Technology, Lahore)+ 1 AuthorsShaukat Iqbal4
Estimated H-index: 4
(University of Management and Technology, Lahore)
In this study a novel population based meta-heuristic, called controlled showering optimization (CSO) algorithm, for global optimization of unconstrained problems is presented. Modern irrigation systems are equipped with smart tools manufactured and controlled by human intelligence. The proposed CSO algorithm is inspired from the functioning of water distribution tools to model search agents for carrying out the optimization process. CSO imitates the mechanism of projection of water units by spr...
Josef Di Pietrantonio (Duquesne University), Rachael Miller Neilan5
Estimated H-index: 5
(Duquesne University),
James B. Schreiber12
Estimated H-index: 12
(Duquesne University)
It is common for organizations to hire workers based on their knowledge, skills, and abilities. However, despite capable workers being hired, productivity may suffer if employees’ motivational needs are not satisfied. We developed an agent-based model to simulate the completion of tasks by teams of workers in an organization. Each worker is described by an ability value and a 3-parameter motive profile expressing the individual’s needs for affiliation, achievement, and power. During each time st...