Overview

Advances in Computers, Volume 116, presents innovations in computer hardware, software, theory, design, and applications, with this updated volume including new chapters on Teaching Graduate Students How to Review Research Articles and How to Respond to Reviewer Comments, ALGATOR - An Automatic Algorithm Evaluation System, Graph Grammar Induction, Asymmetric Windows in Digital Signal Processing, Intelligent Agents in Games: Review With an Open-Source Tool, Using Clickstream Data to Enhance Reverse Engineering of Web Applications, and more.

Full Product Details

Author:   Suyel Namasudra (Department of Computer Science and Engineering, National Institute of Technology Agartala, Tripura, India) ,  Veljko Milutinovic (University of Belgrade, Serbia; Member of Academia Europaea)
Publisher:   Elsevier Science Publishing Co Inc
Imprint:   Academic Press Inc
Weight:   0.700kg
ISBN:  

9780128201961

ISBN 10:   0128201967
Pages:   359
Publication Date:   17 January 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

1. Teaching graduate students how to review research articles and respond to reviewer comments Milan Bankovic, Vladimir Filipovic, Jelena Graovac, Jelena Hadzi-Puric, Ali Hurson, Aleksandar Kartelj, Jovana Kovacevic, Nenad Korolija, Milos Kotlar, Nenad B. Krdzavac, Filip Maric, Sasa Malkov, Veljko Milutinovic, Nenad Mitic, Stefan Miskovic, Mladen Nikolic, Gordana Pavlovic-Lazetic, Danijela Simic, Sana Stojanovic Djurdjevic, Staša Vujicic Stankovic, Milena Vujoševic Janicic and Miodrag Zivkovic 2. ALGator - An automatic algorithm evaluation system Tomaz Dobravec 3. Graph grammar induction Luka Fürst, Marjan Mernik and Viljan Mahnic 4. Asymmetric windows in digital signal processing Robert Rozman 5. Intelligent agents in games: Review with an open-source tool Matej Vitek and Peter Peer 6. Using clickstream data to enhance reverse engineering of web applications Marko Pozenel and Bostjan Slivnik

Reviews

Author Information

"Dr. Suyel Namasudra is an assistant professor in the Department of Computer Science and Engineering at the National Institute of Technology Agartala, Tripura, India. Before joining the National Institute of Technology Agartala, Dr. Namasudra was an assistant professor in the Department of Computer Science and Engineering at the National Institute of Technology Patna, Bihar, India, and a post-doctorate fellow at the International University of La Rioja (UNIR), Spain. He has received Ph.D. degree in Computer Science and Engineering from the National Institute of Technology Silchar, Assam, India. His research interests include blockchain technology, cloud computing, IoT, and DNA computing. Dr. Namasudra has edited 4 books, 5 patents, and 60 publications in conference proceedings, book chapters, and refereed journals like IEEE TII, IEEE T-ITS, IEEE TSC, IEEE TCSS, ACM TOMM, ACM TALLIP, FGCS, CAEE, and many more. He has served as a Lead Guest Editor/Guest Editor in many reputed journals like ACM TOMM (ACM, IF: 3.144), CAEE (Elsevier, IF: 3.818), CAIS (Springer, IF: 4.927), CMC (Tech Science Press, IF: 3.772), Sensors (MDPI, IF: 3.576), and many more. Dr. Namasudra has participated in many international conferences as an Organizer and Session Chair. He is a member of IEEE, ACM, and IEI. Dr. Namasudra has been featured in the list of the top 2% scientists in the world in 2021 and 2022, and his h-index is 25. Prof. Veljko Milutinovic received his PhD from the University of Belgrade, spent about a decade on various faculty positions in the USA (mostly at Purdue University), and was a co-designer of the DARPA's first GaAs RISC microprocessor. Later he taught and conducted research at the University of Belgrade, Serbia, in ECE and MATH. Now he serves as the Senior Advisor to Maxeler Technologies in London, UK. His research is mostly in datamining and dataflow computing, with the emphasis on mappings of algorithms onto architectures. His co-authored paper on matrix multiplication for dataflow received ""The IET Premium Award for 2014"" (meaning the single best paper in IET Computing for 2012 and 2013). He is a Fellow of the IEEE and a Member of Academia Europaea. He has over 40 IEEE journal papers, over 40 other SCI journal papers, over 400 Thomson-Reuters citations, and about 4000 Google Scholar citations."

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