10023nam a2200685 i 4500 9780750350174 IOP 20251030124215.0 m eo d cr cn |||m|||a 230905s2023 enka fob 000 0 eng d 9780750350174 ebook 9780750350167 mobi 9780750350150 print 9780750350181 myPrint 10.1088/978-0-7503-5017-4 doi (CaBNVSL)thg00083653 (OCoLC)1396227904 CaBNVSL eng rda CaBNVSL CaBNVSL QA76.27 .C553 2023eb UY bicssc Chiroma, Haruna, author. 96597 Computing research survival manual : a practical handbook for beginners / Haruna Chiroma, Jemal H. Abawj. Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) : IOP Publishing, [2023] 1 online resource (various pagings) : illustrations (some color). text rdacontent electronic isbdmedia online resource rdacarrier [IOP release $release] IOP ebooks. [2023 collection] "Version: 20230801"--Title page verso. Includes bibliographical references. 1. Computing disciplines ecosystem and origin of research -- 1.1. Introduction -- 1.2. Computing disciplines -- 1.3. Comparing the focus of the seven disciplines within the computing ecosystem -- 1.4. Scientific research in computing -- 1.5. Research philosophy and origin of research in computing -- 1.6. Comparing research methods in discipline within the computing ecosystems -- 1.7. Generic procedure for computing research -- 1.8. Features of quality and bad research -- 1.9. MSc, PhD and undergraduate project in computing -- 1.10. Organization of the book -- 1.11. Summary 2. Computing search engines and bibliographic databases -- 2.1. Introduction -- 2.2. The computing academic databases -- 2.3. Comparing the academic search engines : similarities and differences -- 2.4. Summary 3. Systematic literature review from a computing perspective and research problem formulation -- 3.1. Introduction -- 3.2. Why conduct literature search and systematic literature review? -- 3.3. Systematic literature review, narrative review and metadata analysis : differences -- 3.4. Proposed systematic literature review methodology for computing -- 3.5. The brief structure of systematic literature review -- 3.6. Common mistakes in conducting systematic literature review -- 3.7. Research problem formulation -- 3.8. Summary 4. Computing research tools and resources -- 4.1. Introduction -- 4.2. Research productivity tools -- 4.3. Computing research tools -- 4.4. Computer engineering -- 4.5. Hardware and software platforms -- 4.6. Summary 5. Computing datasets and data engineering -- 5.1. Introduction -- 5.2. Large-scale datasets as today's reality compared to small-size datasets -- 5.3. Benchmark, real-world and synthesis datasets -- 5.4. Characteristic of real-world datasets -- 5.5. Case study : collecting data from a real physical environment--smart city -- 5.6. Knowing your dataset -- 5.7. Cross-datasets -- 5.8. Dark datasets -- 5.9. Research data management -- 5.10. Research data repositories and sources -- 5.11. Features engineering -- 5.12. Summary 6. Methodology from a computing perspective -- 6.1. Introduction -- 6.2. Research methodology in computing -- 6.3. Relating the methodology to the computing disciplines -- 6.4. Algorithms -- 6.5. Solving real-world problems using algorithms -- 6.6. Conceptual framework -- 6.7. Comparative study : hardware and software -- 6.8. Case studies -- 6.9. Summary 7. Scientific publishing in computing : beginners guide -- 7.1. Introduction -- 7.2. PhD/MSc thesis, journal and conference proceedings publications -- 7.3. Tips for developing an excellent journal paper -- 7.4. Common reasons for desk rejection and tips to avoiding it during initial screening -- 7.5. Cover letter -- 7.6. Research highlights -- 7.7. Supplementary materials -- 7.8. Suggesting reviewers for a researcher's own paper -- 7.9. Quality measurement in computing publications -- 7.10. Responding to reviewer comments -- 7.11. Handling of rejections -- 7.12. Understand different publishing models--open access, subscription, and hybrid -- 7.13. Summary 8. Research ethics in computing -- 8.1. Introduction -- 8.2. Research ethics from the perspective of computing -- 8.3. The six domains of research ethics -- 8.4. Research misconduct -- 8.5. Tips to avoid conflict of interest -- 8.6. Avoiding research misconduct -- 8.7. Ethics committees and institutional research boards -- 8.8. Research ethics in the context of disciplines in computing -- 8.9. Negative research results and tips to get published -- 8.10. Summary 9. Emerging research trends in computing -- 9.1. Introduction -- 9.2. Emerging research topics in computing -- 9.3. Selected research problems -- 9.4. Artificial intelligence future prediction -- 9.5. Summary. Research methodology is the core component of any valid research. This book provides a guide to conducting research within the broad field of computing. This book is a survival manual that contains a detailed research procedure from the perspective of different computing disciplines in place of the commonly written books on general research methodology. The book can equip the readers with an understanding of identifying research problem, problem formulation, extensive literature review (critical and systematic), methodologies, sources of research datasets, computing research tools, trending research areas in computing, academic databases housing computing literature, research ethics in computing, how to overcome potential challenges in a journey to research in computing and provide tips/skills required for writing journal manuscript for publication in high impact journals. Advanced students -- final year undergrads, MSc, PhD. Postdocs and ECR in computational sciences. Also available in print. Mode of access: World Wide Web. System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader. Haruna Chiroma is an Assistant Professor at the University of Hafr Al Batin, College of Computer Science and Engineering, Saudi Arabia. He received B.Tech., M.Sc., and Ph.D. in computer science and Artificial Intelligence from Abubakar Tafawa Balewa University, Bayero University Kano and University of Malaya, respectively. He is ranked in the Top 2% most influential scientists by Stanford University. He is an academic editor for 3 ISI WoS/Scopus Indexed journals, organized special issues and editor of 3 books published by Springer. His research interest includes: Artificial neural networks, machine learning with emphasis on deep learning, nature inspired algorithms. He has published over 155 academic articles relevant to his research interest in different SI WoS/Scopus indexed venues. He is an invited reviewer for over 60 ISI WoS/Scopus indexed journals such as IEEE Transactions on Neural Networks and Learning Systems. He has been a technical programme committee member for more than 50 international conferences, workshops and symposium. Presently, chiroma is supervising 15 M.Sc. students and 4 Ph.Ds., He graduated 10 M.Sc. and 2 Ph.D. Jemal H. Abawjy is a Full Professor with the School of Information Technology, Faculty of Science, Engineering, and Built Environment, Deakin University, Australia. He is currently the Director of the Parallel and Distributing Computing Laboratory. He is a Senior Member of the IEEE Technical Committee on Scalable Computing, the IEEE Technical Committee on Dependable Computing and Fault Tolerance, and the IEEE Communication Society. His leadership is extensive, spanning industrial, academic, and professional areas. He has served on the Academic Board, Faculty Board, the IEEE Technical Committee on Scalable Computing Performance Track Coordinator, Research Integrity Advisory Group, Research Committee, Teaching and Learning Committee, and Expert of International Standing Grant and External Ph.D. Thesis Assessor. He has delivered over 70 keynote addresses, invited seminars, and media briefings and has been actively involved in the organization of numerous national and international conferences in various capacities. He has also served on the editorial-board of numerous international journals and currently serving as an Associate Editor of the IEEE Transactions on Cloud Computing, International Journal of Big Data Intelligence, and International Journal of Parallel, Emergent and Distributed Systems. Prof. Abawjy has also guest edited over 20 special issues. He is actively involved in funded research supervising large number of Ph.D. students, postdoctoral, research assistants, and visiting scholars in the area of cloud computing, big data, network and system security, decision support system, and e-healthcare. He is the author/co-author of 30 books published by Springer, Elsevier, Taylor & Francis, etc, more than 350 papers in conferences, book chapters, and journals. He also edited 20 conference volumes. Title from PDF title page (viewed on September 5, 2023). Computer science Research Methodology. 96598 Computer science. bicssc 58552 Abawj, Jemal H., author. 96599 Institute of Physics (Great Britain), publisher. 17702 Print version: 9780750350150 9780750350181 IOP (Series). Release 23. IOP ebooks. 2023 collection. https://iopscience.iop.org/book/mono/978-0-7503-5017-4 E-Books 68385 68385