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This study explores the virtualization of classical reality and aims to establish a clear framework to determine the limits and possibilities of virtual reality. It addresses two primary questions: whether an observer's senses can perceive…

Human-Computer Interaction · Computer Science 2023-06-14 Francesco Sisini

Branching is a feature of distributed version control systems that facilitates the ``divide and conquer'' strategy present in complex and collaborative work domains. Branching has revolutionized modern software development and has the…

Human-Computer Interaction · Computer Science 2023-07-07 Kathy Cheng , Phil Cuvin , Alison Olechowski , Shurui Zhou

A production monitoring system uses the real-time data while production is online. The real-time production monitoring systems are designed as means of auto data to the collection and monitoring the data via display boards. This study…

Computers and Society · Computer Science 2017-01-26 Shiva H C Prasad , Potti Srinivasa Rao , B Gopalkrishna , Aakash Ahluwalia

Due to several issues arising in the rapidly-expanding Halal industry, among them the production of non-genuine or contaminated products and meats, there is a need to develop effective solutions for ensuring authenticity and quality. This…

Other Computer Science · Computer Science 2020-04-23 Mohammed Belkhatir , Shalini Bala , Noureddine Belkhatir

Given their increasing participation in fast-changing markets, the integration of scheduling and control is an important consideration in chemical process operations. This generally involves computing optimal production schedules using…

Optimization and Control · Mathematics 2020-05-19 Calvin Tsay , Michael Baldea

Future manufacturing requires complex systems that connect simulation platforms and virtualization with physical data from industrial processes. Digital twins incorporate a physical twin, a digital twin, and the connection between the two.…

Machine Learning · Computer Science 2021-09-20 Trier Mortlock , Deepan Muthirayan , Shih-Yuan Yu , Pramod P. Khargonekar , Mohammad A. Al Faruque

A challenge that machine learning practitioners in the industry face is the task of selecting the best model to deploy in production. As a model is often an intermediate component of a production system, online controlled experiments such…

Machine Learning · Statistics 2021-05-31 Zhenwen Dai , Praveen Chandar , Ghazal Fazelnia , Ben Carterette , Mounia Lalmas-Roelleke

Automated, data-driven quality management systems, which facilitate the transformation of data into useable information, are desired to enhance decision-making processes. Integration of accurate, reliable, and straightforward approaches…

Other Computer Science · Computer Science 2019-03-27 Wenying Ji

Online shopping has revolutionized the retail industry, providing customers with convenience and accessibility. However, customers often hesitate to purchase wearable products such as watches, jewelry, glasses, shoes, and clothes due to the…

Computer Vision and Pattern Recognition · Computer Science 2024-12-18 Tulashi Prasad Joshi , Amrendra Kumar Yadav , Arjun Chhetri , Suraj Agrahari , Umesh Kanta Ghimire

This paper is based on the study of existing literature, highlights the current state of the work proposed to implement technically enhanced learning. Technology developments and network infrastructure improvements, specifically the world…

Computers and Society · Computer Science 2014-02-12 J. M. Sneha , G. S. Nagaraja

We live in a world of exploding complexity driven by technical evolution as well as highly volatile socio-economic environments. Managing complexity is a key issue in everyday decision making such as providing safe, sustainable, and…

Computers and Society · Computer Science 2023-11-28 Dirk Hartmann

In a global and technology oriented world the requirements that products and services have to fulfill are increasing and are getting more complicated. Research and development (R&D) is becoming increasingly important in creating the…

Other Computer Science · Computer Science 2012-08-07 Nader Ale Ebrahim , Shamsuddin Ahmed , Zahari Taha

We consider qualitative simulation involving a finite set of qualitative relations in presence of complete knowledge about their interrelationship. We show how it can be naturally captured by means of constraints expressed in temporal logic…

Artificial Intelligence · Computer Science 2007-05-23 Krzysztof R. Apt , Sebastian Brand

The machine learning lifecycle extends beyond the deployment stage. Monitoring deployed models is crucial for continued provision of high quality machine learning enabled services. Key areas include model performance and data monitoring,…

Machine Learning · Statistics 2020-07-14 Janis Klaise , Arnaud Van Looveren , Clive Cox , Giovanni Vacanti , Alexandru Coca

As ubiquitous technology is increasingly mediating our relationships with the world and others, we argue that the sublime is struggling to find room in product design primarily aimed at commercial and transactional goals such as speed and…

Human-Computer Interaction · Computer Science 2022-11-01 Johan Liedgren , Pieter Desmet , Andrea Gaggioli

Machine learning has enabled significant benefits in diverse fields, but, with a few exceptions, has had limited impact on computer architecture. Recent work, however, has explored broader applicability for design, optimization, and…

Hardware Architecture · Computer Science 2019-09-30 Drew D. Penney , Lizhong Chen

Software product quality can be defined as the features and characteristics of the product that meet the user needs. The quality of any software can be achieved by following a well defined software process. These software process results…

Software Engineering · Computer Science 2018-02-19 Karuna Prasad , MG Divya , N Mangala

This paper presents the concept of Industry 6.0, introducing the world's first fully automated production system that autonomously handles the entire product design and manufacturing process based on user-provided natural language…

Computational Science on large high performance computing resources is hampered by the complexity of these systems. Much of this complexity is due to low-level details on these resources that are exposed to the application and the end user.…

Distributed, Parallel, and Cluster Computing · Computer Science 2010-09-13 Michael W. Thomas , Erik Schnetter

Predictive modelling represents an emerging field that combines existing and novel methodologies aimed to rapidly understand physical mechanisms and concurrently develop new materials, processes and structures. In the current study,…