Browsing University of Waterloo by Title
Now showing items 3529-3548 of 18950
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DASH: A New Language for Declarative Behavioural Requirements with Control State Hierarchy
(IEEE, 2017-09-04)We present DASH, a new language for describing formal behavioural models of requirements. DASH combines the ability to write abstract, declarative transitions (as in Z or Alloy) with a labelled control state hierarchy (as ... -
Dash: Declarative Behavioural Modelling in Alloy
(University of Waterloo, 2019-01-25)An abstract model is a representation of the fundamental characteristics and properties of a system, and its purpose is to provide feedback to stakeholders about the correctness of the system during the early stages of ... -
Dash: declarative behavioural modelling in Alloy with control state hierarchy
(Springer Nature, 2023-04)We present Dash, an extension to the Alloy language to model dynamic behaviour using the labelled control state hierarchy of Statecharts. From Statecharts, Dash borrows the concepts to specify hierarchy, concurrency, and ... -
DASH: Declarative Modelling with Control State Hierarchy (Preliminary Version)
(University of Waterloo, 2018)We present a new language, called DASH, for describing formal behavioural models. DASH combines common modelling constructs to describe abstractly both data and control in an integrated manner. DASH uses the Alloy language ... -
Data Analysis Protocol for the Development and Evaluation of Population Pharmacokinetic Models for Incorporation Into the Web-Accessible Population Pharmacokinetic Service - Hemophilia (WAPPS-Hemo)
(JMIR Publications, 2016-12-07)Background: Hemophilia is an inherited bleeding disorder caused by a deficiency in a specific clotting factor. This results in spontaneous bleeding episodes and eventual arthropathy. The mainstay of hemophilia treatment ... -
Data Augmentation For Text Classification Tasks
(University of Waterloo, 2020-08-12)Thanks to increases in computing power and the growing availability of large datasets, neural networks have achieved state of the art results in many natural language process- ing (NLP) and computer vision (CV) tasks. ... -
Data Balancing and Hyper-parameter Optimization for Machine Learning Algorithms for Secure IoT Networks
(University of Waterloo, 2022-12-19)Nowadays, many industries rely on Machine Learning (ML) algorithms and their ability to learn from existing data to make inferences about new unlabeled data. Applying ML algorithms to the network security domain is not ... -
Data Depth Inference for Difficult Data
(University of Waterloo, 2022-07-18)We explore various ways in which a robust, nonparametric statistical tool, the data depth function can be used to conduct inference on data which could be described as difficult. This can include data which are difficult ... -
Data Driven Efficiency for E-Warehousing: Descriptive and Prescriptive Analytics
(University of Waterloo, 2018-05-18)Based on data provided by a warehouse logistics management company, we analyze the warehousing operation and its major processes of order picking and order consolidation. Without access to the actual layouts and process ... -
Data Driven Modelling and Optimization of MEA Absorption Process for CO2 Capture
(University of Waterloo, 2020-05-27)Global warming is a rising issue and there are many research studies aiming to reduce greenhouse gas emissions. Carbon capture and storage technologies improved throughout the years to contribute as a solution to this ... -
Data Envelopment Analysis may Obfuscate Corporate Financial Data: Using Support Vector Machine and Data Envelopment Analysis to Predict Corporate Failure for Nonmanufacturing Firms
(Taylor & Francis, 2017)Corporate failure prediction has drawn numerous scholars’ attention because of its usefulness in corporate risk management, as well as in regulating corporate operational status. Most research on this topic focuses on ... -
Data Flow Analysis in the Presence of Correlated Calls
(University of Waterloo, 2014-08-19)This thesis presents a technique to improve the precision of data-flow analyses on object-oriented programs in the presence of correlated calls. We say that two method calls are correlated if they are polymorphic (have ... -
Data Fusion for Materials Location Estimation in Construction
(University of Waterloo, 2010-04-29)Effective automated tracking and locating of the thousands of materials on construction sites improves material distribution and project performance and thus has a significant positive impact on construction productivity. ... -
A Data Mining Approach for Detecting Evolutionary Divergence in Transcriptomic Data
(University of Waterloo, 2019-11-19)It has become common to produce genome sequences for organisms of scientific or popular interest. Although these genome projects provide insight into the gene and protein complements of a species including their evolutionary ... -
Data on removal kinetics of pharmaceutical compounds, artificial sweeteners, and perfluoroalkyl substances from water using a passive treatment system containing zero-valent iron and biochar
(Elsevier, 2019-12)The data presented in this paper relate to the research paper “Removal of pharmaceutical compounds, artificial sweeteners, and perfluoroalkyl substances from water using a passive treatment system containing zero-valent ... -
The data processing pipeline for the Herschel1 - HIFI instrument
(Elsevier, 2019-04)The HIFI data processing pipeline was developed to systematically process diagnostic, calibration and astronomical observations taken with the HIFI science instrument as part of the Herschel mission. The HIFI pipeline ... -
Data Protection in Big Data Analysis
(University of Waterloo, 2021-08-30)"Big data" applications are collecting data from various aspects of our lives more and more every day. This fast transition has surpassed the development pace of data protection techniques and has resulted in innumerable ... -
Data Reduction Algorithms in Machine Learning and Data Science
(University of Waterloo, 2021-02-19)Raw data are usually required to be pre-processed for better representation or discrimination of classes. This pre-processing can be done by data reduction, i.e., either reduction in dimensionality or numerosity (cardinality). ... -
Data related to architectural bone parameters and the relationship to Ti lattice design for powder bed fusion additive manufacturing
(Elsevier, 2021-12)The data included in this article provides additional supporting information on our publication (McGregor et al. [1]) on the review of the natural lattice architecture in human bone and its implication towards titanium ... -
Data related to the effect of specimen geometry and orientation on tensile properties of Ti-6Al-4V manufactured by electron beam powder bed fusion
(Elsevier, 2021-12)Additive manufacturing quality assessment often relies on tensile testing as the preferred methodology to qualify builds and materials. The data included in this article provides additional supporting information on our ...