Research and Technical Writing for Science and Engineering by Meikang Qiu & Han Qiu & Yi Zeng

Research and Technical Writing for Science and Engineering by Meikang Qiu & Han Qiu & Yi Zeng

Author:Meikang Qiu & Han Qiu & Yi Zeng [Meikang Qiu]
Language: eng
Format: epub
Publisher: CRC Press
Published: 2022-02-27T00:00:00+00:00


7.2.2 Subjects and Topics

Another way to describe the context of computer experimentation is to look at its subjects and topics. Because there are already a plethora of debates concerning experimental computer science, examples may be drawn straight from the literature. Denning [46] mentioned research on memory rules in time sharing and research on queuing networks in his overview of computer science experiments. Freeman [60] provided instances of a robot competition, data-intensive supercomputing research, and future network architecture research. Feldman and Sutherland [56] incorporated sophisticated computer applications. Gustedt et al. [95] emphasized research on grid computing, parallel computing, large-scale distributed systems, and several other large-scale computing initiatives. Software engineering and high-end computers were suggested by Basili and Zelkowitz [10]. Nature, according to several writers ranging from Chaitin to Zuse [16], calculates. In the end, the subject itself is unimportant. Any subject may be researched scientifically, and many can be researched experimentally.



Download



Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.
Popular ebooks
Developing Robust Date and Time Oriented Applications in Oracle Cloud by Michal Kvet(5609)
Practical Guide to Azure Cognitive Services by Chris Seferlis & Christopher Nellis & Andy Roberts(4692)
Unity Artificial Intelligence Programming - Fifth Edition by Dr. Davide Aversa(4298)
Serverless ETL and Analytics with AWS Glue by Vishal Pathak Subramanya Vajiraya Noritaka Sekiyama Tomohiro Tanaka Albert Quiroga Ishan Gaur(4068)
Open Source Projects - Beyond Code by John Mertic(3123)
The AI Product Manager's Handbook by Irene Bratsis(3111)
Graph Data Modeling in Python by Gary Hutson and Matt Jackson(3075)
Cloud Auditing Best Practices by Shinesa Cambric & Michael Ratemo(2730)
Aligning Security Operations with the MITRE ATT&CK Framework by Rebecca Blair(2710)
Applied Machine Learning and High-Performance Computing on AWS by Mani Khanuja | Farooq Sabir | Shreyas Subramanian | Trenton Potgieter(1275)
Graph Data Processing with Cypher by Ravindranatha Anthapu(1265)
Data Literacy in Practice by Angelika Klidas Kevin Hanegan(1257)
Fuzzing Against the Machine: Automate vulnerability research with emulated IoT devices on QEMU by Antonio Nappa Eduardo Blazquez(1133)
Implementing Multifactor Authentication: Protect your applications from cyberattacks with the help of MFA by Marco Fanti(1123)
The AI Product Manager's Handbook: Develop a product that takes advantage of machine learning to solve AI problems by Irene Bratsis(993)
Data Literacy in Practice - A complete guide to data literacy and making smarter decisions with data through intelligent actions (2022) by Packt(984)
Graph Data Processing with Cypher by Anthapu Ravindranatha;(916)
The SQL Workshop by Frank Solomon(909)
Serverless Machine Learning with Amazon Redshift ML: Create, train, and deploy machine learning models using familiar SQL commands by Debu Panda Phil Bates Bhanu Pittampally Sumeet Joshi(891)
Fuzzing Against the Machine by Antonio Nappa & Eduardo Blázquez(757)