Intelligent computing proceedings of the 2020 Computing Conference. Volume 2 /
This book focuses on the core areas of computing and their applications in the real world. Presenting papers from the Computing Conference 2020 covers a diverse range of research areas, describing various detailed techniques that have been developed and implemented. The Computing Conference 2020, wh...
Corporate Authors: | Computing Conference Online) |
---|---|
Other Authors: | Computing Conference, Arai, Kohei., Kappor, Supriya., Bhatia, Rahul., SpringerLink (Online service) |
Format: | eBook |
Language: | English |
Published: |
Cham :
Springer,
2020.
Cham : 2020. |
Physical Description: |
1 online resource. |
Series: |
Advances in intelligent systems and computing ;
1229. |
Subjects: |
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245 | 1 | 0 | |a Intelligent computing : |b proceedings of the 2020 Computing Conference. |n Volume 2 / |c Kohei Arai, Supriya Kapoor, Rahul Bhatia, editors. |
260 | |a Cham : |b Springer, |c 2020. | ||
264 | 1 | |a Cham : |b Springer, |c 2020. | |
300 | |a 1 online resource. | ||
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490 | 1 | |a Advances in intelligent systems and computing, |x 2194-5357 ; |v volume 1229. | |
500 | |a International conference proceedings. | ||
500 | |a Includes author index. | ||
505 | 0 | |a Intro -- Editor's Preface -- Contents -- Urban Mobility Swarms: A Scalable Implementation -- 1 Introduction -- 2 Swarm Behavior and Bicycles Lights -- 3 Technical Description -- 3.1 A Decentralized Network of Swarms -- 3.2 Nodes as Oscillators -- 3.3 Phase and Light -- 4 Message Broadcasting and Synchronization -- 4.1 Protocol -- 4.2 Algorithm -- 4.3 Addressing Scheme -- 4.4 Faulty and Malicious Nodes -- 5 Circuitry, Prototype Fabrication, and Tests -- 6 Conclusion -- References -- Using AI Simulations to Dynamically Model Multi-agent Multi-team Energy Systems -- 1 Introduction. | |
505 | 8 | |a 2 Background -- 3 Methodology -- 4 Experiments -- 5 Conclusions -- References -- Prediction of Cumulative Grade Point Average: A Case Study -- 1 Introduction -- 2 Background Details and Related Work -- 3 Proposed Approach -- 3.1 The Ordinary Least Square (OLS) Model -- 3.2 The ANN Model -- 3.3 The Adaptive Network Based Fuzzy Inference (ANFIS) Model -- 4 Results -- 5 Conclusion -- References -- Warehouse Setup Problem in Logistics: A Truck Transportation Cost Model -- 1 Introduction -- 2 Proposed Models for Hub Location Problem (HLP) | |
505 | 8 | |a 2.1 Model 1. Unit Cost of Goods Transportation Based Model (UCGTM) -- 2.2 Model 2. Truck Transportation Cost Based Model (TTCM) -- 3 Anti-predatory NIA (APNIA) -- 4 Anti-predatory NIA Based Approach for Solving the HLP -- 5 Experimental Evaluations -- 5.1 Real-Life Warehouse Setup Problem (WSP) -- 5.2 Simulation and Results -- 6 Analysis of Obtained Results by UCGTM and TTCM -- 7 Conclusion -- References -- WARDS: Modelling the Worth of Vision in MOBA's -- 1 Introduction -- 2 Contribution -- 3 Related Work -- 3.1 Academic Work -- 3.2 Industry Standard -- 3.3 Synthesis -- 4 Methods -- 4.1 Dataset. | |
505 | 8 | |a 4.2 Evaluating LoL's Vision Score -- 4.3 Porting LoL's Vision Score to Dota 2 -- 4.4 Expert Based Dota 2 Ward Score -- 5 Ward Aggregate Record Derived Score (WARDS) -- 5.1 Overview to WARDS -- 5.2 Calculating the Ò̀ptimality'' Score -- 5.3 Calculating the WARDS -- 6 Results -- 6.1 Overview -- 6.2 Expert vs. Average Player Analysis -- 6.3 WARDS vs Vision Score Analysis -- 7 Predicting the WARDS Value -- 7.1 Predicting WARDS with a Neural Network -- 7.2 Prediction Analysis -- 8 Discussion/Conclusions -- References. | |
505 | 8 | |a Decomposition Based Multi-objectives Evolutionary Algorithms Challenges and Circumvention -- 1 Introduction -- 2 Decomposition Based Multi Objective Evolutionary Algorithm (MOEA/D) Framework -- 3 Scalarizing Functions (SF) Adaptation -- 4 Weight Generation or Adaptation Mechanisms -- 5 Different MOEA/D Versions -- 6 Real World Applications -- 7 Conclusions -- References -- Learning the Satisfiability of Ł-clausal Forms -- 1 Introduction and Preliminaries -- 2 Instance Generator -- 3 Dataset and Features -- 3.1 Numeric Features -- 3.2 Features from Graph Representations -- 4 Results. | |
520 | |a This book focuses on the core areas of computing and their applications in the real world. Presenting papers from the Computing Conference 2020 covers a diverse range of research areas, describing various detailed techniques that have been developed and implemented. The Computing Conference 2020, which provided a venue for academic and industry practitioners to share new ideas and development experiences, attracted a total of 514 submissions from pioneering academic researchers, scientists, industrial engineers and students from around the globe. Following a double-blind, peer-review process, 160 papers (including 15 poster papers) were selected to be included in these proceedings. Featuring state-of-the-art intelligent methods and techniques for solving real-world problems, the book is a valuable resource and will inspire further research and technological improvements in this important area. | ||
650 | 0 | |a Computational intelligence |v Congresses. | |
650 | 0 | |a Artificial intelligence |v Congresses. | |
650 | 0 | |a Information technology |v Congresses. | |
650 | 6 | |a Intelligence informatique |v Congrès. | |
650 | 6 | |a Intelligence artificielle |v Congrès. | |
650 | 6 | |a Technologie de l'information |v Congrès. | |
650 | 7 | |a Artificial intelligence. |2 bicssc. | |
650 | 7 | |a Communications engineering |x telecommunications. |2 bicssc. | |
650 | 7 | |a Technology & Engineering |x Telecommunications. |2 bisacsh. | |
650 | 7 | |a Technology & Engineering |x Engineering (General) |2 bisacsh. | |
650 | 7 | |a Artificial intelligence. |2 fast. | |
650 | 7 | |a Computational intelligence. |2 fast. | |
650 | 7 | |a Information technology. |2 fast. | |
655 | 2 | |a Congress. | |
655 | 7 | |a proceedings (reports) |2 aat. | |
655 | 7 | |a Conference papers and proceedings. |2 fast. | |
655 | 7 | |a Conference papers and proceedings. |2 lcgft. | |
655 | 7 | |a Actes de congrès. |2 rvmgf. | |
700 | 1 | |a Arai, Kohei. | |
700 | 1 | |a Kappor, Supriya. | |
700 | 1 | |a Bhatia, Rahul. | |
710 | 2 | |a SpringerLink (Online service) | |
776 | 0 | 8 | |i Print version: |a Computing Conference (2020 : Online). |t Intelligent computing. |d Cham : Springer, 2020 |z 3030522458 |z 9783030522452 |w (OCoLC)1156350978. |
830 | 0 | |a Advances in intelligent systems and computing ; |v 1229. | |
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