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ECAISS 2019 Preface

2019 2019 15th International Conference on Mobile Ad-Hoc and Sensor Networks (MSN)  
learning based algorithms/method design for sensor-cloud systems  Edge computing for reliabilities of sensor-cloud systems  Edge computing for data security of sensor-cloud systems  Edge computing  ...  The interested topics include but not limited to:  Concepts, theory, standardization and modeling for sensor-cloud systems  Edge computing based algorithms/method design for sensor-cloud systems  Machine  ... 
doi:10.1109/msn48538.2019.00013 fatcat:mbl7puicgfcjdc3xksiog2ptvm

ISRITI 2019 Preface

2019 2019 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)  
Preface Nowadays, the development of algorithms and technology that bases on the progress of artificial intelligence is making considerable progress.  ...  Editor of the 2nd ISRITI 2019 Ferry Wahyu Wibowo  ...  learn or understand from experience entered to be recognized by the machine.  ... 
doi:10.1109/isriti48646.2019.9034584 fatcat:htjcvquicbax3hwoqeyonsyppu

Preface 2019 [chapter]

2019 The Condemnation of Blackness  
Until "the negro learns to respect life, property, and chastity," he warned, "until he learns to believe in the value of a personal morality operating in his daily life," crime will increase. 1 Over  ...  The year 2019 marks the hundredth anniversary of the Chicago Race Riot, which led to the first blue-ribbon commission on racialized policing in America.  ... 
doi:10.4159/9780674240919-002 fatcat:ln2u6fuocbf77oh5akdlrb33aa

CHEP 2019: Preface to the Proceedings

Caterina Doglioni, Paul Jackson, Waseem Kamleh, Doris Y. Kim, Lucia Silvestris, Graeme A. Stewart, W. Kamleh, C. Doglioni, D. Kim, G.A. Stewart, L. Silvestris, P. Jackson
2020 EPJ Web of Conferences  
The 24th International Conference on Computing in High Energy and Nuclear Physics (CHEP) took place at the Adelaide Convention Centre, Adelaide, South Australia from 4–8 November 2019. 525 registered participants  ...  ; object identification; object cali- bration; machine learning for analysis; analysis preser- vation; analysis workflows; lattice QCD; theory calcu- lations 7 Facilities, Clouds and Containers Cloud  ...  scaling; comput- ing models; exabyte; exaflop; compute accelerators; generic algorithms; weak scaling; quantum computing; massive scale machine learning X Crossover sessions from online, offline  ... 
doi:10.1051/epjconf/202024500001 fatcat:a5ot6f63gnaijio2bukkns67ha


Amanda S Barnard
2019 Journal of Physics Materials  
In recent years however, materials scientists have become attracted to machine learning algorithms for their ability to handle complexity and large configuration spaces, and extract high-dimensional structure  ...  The introduction of machine learning to materials science has even led to new algorithms more attuned to the unique needs of this domain, as described by Ouyang et al [10] in their paper on the new multi-tasking  ... 
doi:10.1088/2515-7639/ab460c fatcat:zyv5be2xu5hmxgr4zfkgqxrm5i

Preface [chapter]

2019 C++ Programming  
This is because before the theories of Object-Oriented Analysis (OOA) and Object-Oriented Design (OOD) were developed, in order to write a good object-oriented program, programmers would first learn to  ...  VI | Preface The emergence of object-oriented methods is in fact a process where the program design gets back to its roots.  ... 
doi:10.1515/9783110471977-201 fatcat:fv3fvtxwprfnxa5vwu7d6vjfbe

Preface [chapter]

2019 Hybrid Feedback Control  
Preface Why hybrid feedback control? Classical control theory features powerful tools for analysis of systems and design of feedback controllers.  ...  Hybrid feedback control can lead to controllers that surpass the capabilities of controllers designed using classical control theory due to featuring • Variables that change continuously -or, equivalently  ...  Chapter 8 presents a general supervisory PREFACE xiii algorithm that coordinates a family of general hybrid controllers. This is the most general logic-based strategy in this book.  ... 
doi:10.1515/9780691189536-001 fatcat:xrsydic5o5harb63bnvuexjwse

Preface [chapter]

Shibakali Gupta, Abhijit Das, Indrajit Pan, Siddhartha Bhattacharyya
2019 Intelligent Multimedia Data Analysis  
., neural networks, fuzzy logic, rough sets and evolutionary computation, incorporating probabilistic reasoning (belief networks, genetic algorithms and chaotic systems).  ...  An intelligent machine inherits the boon of intelligence by virtue of the various methodologies offered by the soft computing paradigm encompassing fuzzy and rough set theory, artificial neurocomputing  ...  Chapter 5 proposes a feasible implementation of a student-specific automated system of learning, and tutoring of school level geometry concepts.  ... 
doi:10.1515/9783110552072-201 fatcat:3fupzqb4ebdypohgkquwplfana

Preface [chapter]

Yannick Parmentier, Jakub Waszczuk
2019 Zenodo  
In Chapter 4, Markantonatou et al. (2019 [this volume]) present a grammar of Modern Yannick Parmentier & Jakub Waszczuk. 2019. Preface.  ...  Two main approaches to parsing coexist: the data-driven approach aims at extracting syntactic information from corpora using Machine Learning techniques v and is discussed in Chapter 6.  ... 
doi:10.5281/zenodo.2579030 fatcat:2pg3wvqqjnhodh7x25zrfgmuze

Preface [chapter]

2019 Millennials in Architecture  
The coming years will decide which side of the algorithm architects will be on: writing the software or being dominated by those who do.  ...  Preface No matter how contrasts between generations have been created, one fundamental fact of life remains true in the United States: Generations  ... 
doi:10.7560/318553-001 fatcat:34zuh7ocwrb4lfal62izhhuvjq


Ying Tan, Yuhui Shi, Xin Yao
2021 Natural Computing  
ensemble learning algorithm based on fitness Euclidean-distance ratio differential evolution.  ...  An adaptive CCR-ELM (Class-specific cost regulation extreme learning machine) with variable-length brain storm optimization algorithm is proposed for the class-imbalance learning.  ... 
doi:10.1007/s11047-021-09850-6 fatcat:77rje65z3rdvvjd4pvxecf2wfe

Preface to special topic on quantum computing

2019 National Science Review  
This research also foreshadows several promising application areas, including the simulation of quantum chemistry, security and privacy, and machine learning.  ...  research over the last 40 years revealed that quantum computers can outperform current computers in a number of important computational tasks, particularly given the discovery of several celebrated quantum algorithms  ...  This research also foreshadows several promising application areas, including the simulation of quantum chemistry, security and privacy, and machine learning.  ... 
doi:10.1093/nsr/nwz007 pmid:34691824 pmcid:PMC8291508 fatcat:jyv2izvy5ja4bfsbsq7nyy6lrq

Preface: Special Issue on Optimization Algorithms and Applications

Dong-Dong Ge, Zai-Wen Wen, Ya-Xiang Yuan
2019 Journal of the Operations Research Society of China  
They showed that the algorithm is guaranteed to converge for smooth problems if the expected B Dong-Dong Ge  ...  , but also for enriching the field by applications emerging from statistics, machine learning, signal and imaging processing, communications, computational economics and finance.  ...  The corresponding dynamic pricing problem was analyzed using the stochastic optimal control theory.  ... 
doi:10.1007/s40305-018-00240-x fatcat:nscdgx2kczfltmkfoi4bosxknq

Preface to the Special Issue on "Games, Dynamics and Optimization"

Radu Ioan Boţ, Mathias Staudigl
2019 Applied Mathematics and Optimization  
and researchers in designing new algorithms.  ...  Recently, dynamical systems have also witnessed important applications in optimization and machine learning.  ...  Recently, dynamical systems have also witnessed important applications in optimization and machine learning.  ... 
doi:10.1007/s00245-019-09636-4 fatcat:77hbqvcukzgdbfq5zzooo7u424


2020 Journal of Physics, Conference Series  
Medan, September 2019 ChairpersonDr.  ...  Bukit3 Developing STEM in a PjBL Software Learning Media based on The Local Wisdom for Physics Learning Andri Suherman, Yus Rama Denny, Ganesha Antarnusa Analysis of The Bahal Temple Iii Site Using Combination  ... 
doi:10.1088/1742-6596/1428/1/011001 fatcat:s2pm65kadfdcfcozuvgrxmw3om
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