Перейти к содержимому 
База данных: Электронная библиотека
Страница 1, Результатов: 5
Отмеченные записи: 0
1.
Подробнее
M 61
Methods and algorithms for molecular docking-based drug design and discovery / / Siavoush Dastmalchi, Maryam Hamzeh-Mivehroud, and Babak Sokouti, editors. - 4018/978-1-5225-0115-2. - Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, PA 17033, USA) : : IGI Global,, [2016]. - 1 online resource (PDFs (456 pages)) : : il ( час. мин.), 4018/978-1-5225-0115-2. - (Advances in medical technologies and clinical practice (AMTCP) book series). - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/431D6A9E-FC87-43D7-B24F-A8CC8CFEB841. - ISBN 9781522501169 (electronic bk.). - ISBN 1522501169 (electronic bk.)
Title screen (IGI Global, viewed 05/05/2016).
Параллельные издания: Print version: :
Содержание:
Molecular docking at a glance / Maryam Hamzeh-Mivehroud, Babak Sokouti, Siavoush Dastmalchi -- Methods for docking and drug designing / Ahmad Abu Turab Naqvi, Md. Imtaiyaz Hassan -- Scoring functions in docking experiments / Pravin Ambure, Kunal Roy -- The comparison of docking search algorithms and scoring functions: an overview and case studies / Marjana Novic [and 4 others] -- Protein ligand interaction fingerprints / Ali HajiEbrahimi [and 3 others] -- Different types of molecular docking based on variations of interacting molecules: variations of molecular docking / Amit Das, Simanti Bhattacharya -- Protein-protein docking: are we there yet? / Horia Jalily Hasani, Khaled H. Barakat -- Protein-ligand docking methodologies and its application in drug discovery / Sanchaita Rajkhowa, Ramesh C. Deka -- Scoring functions of protein-ligand interactions / Zhiqiang Yan, Jin Wang -- Molecular docking technique to understand enzyme-ligand interactions / Kailas Dashrath Sonawane, Maruti Jayram Dhanavade -- Recent advancements in docking methodologies / Vijay Kumar Srivastav, Vineet Singh, Meena Tiwari -- Docking methodologies and recent advances / Ashwani Kumar, Ruchika Goyal, Sandeep Jain -- Current trends in docking methodologies / Shubhandra Tripathi [and 3 others] -- Protein structure prediction using homology modeling: methods and tools / Akanksha Gupta, Pallavi Mohanty, Sonika Bhatnagar -- Online molecular docking resources / Adriana Isvoran.
~РУБ DDC 615.1/9
Рубрики: Pharmaceutical technology.
Drugs--Design--Computer simulation.
Algorithms.
Drugs--Design.
Drug Design
Molecular Docking Simulation
Algorithms
Technology, Pharmaceutical
Techniques pharmaceutiques.
Médicaments--Conception--Simulation par ordinateur.
Algorithmes.
Médicaments--Conception.
algorithms.
MEDICAL--Pharmacology.
Algorithms.
Drugs--Design--Computer simulation.
Pharmaceutical technology.
Кл.слова (ненормированные):
Docking methodologies -- Docking search algorithms -- Enzyme-ligand interactions -- Online docking resources -- Protein structure prediction -- Protein-ligand interactions -- Protein-protein docking
Аннотация: "This book investigates the evolution of pharmaceutical design and computational approaches in the field of molecular docking, highlighting theoretical backgrounds and emergent research in the area of computer-assisted drug design"--Provided by publisher.
Доп.точки доступа:
Dastmalchi, Siavoush, (1966-) \editor.\
Hamzeh-Mivehroud, Maryam, (1981-) \editor.\
Sokouti, Babak, (1978-) \editor.\
IGI Global,
M 61
Methods and algorithms for molecular docking-based drug design and discovery / / Siavoush Dastmalchi, Maryam Hamzeh-Mivehroud, and Babak Sokouti, editors. - 4018/978-1-5225-0115-2. - Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, PA 17033, USA) : : IGI Global,, [2016]. - 1 online resource (PDFs (456 pages)) : : il ( час. мин.), 4018/978-1-5225-0115-2. - (Advances in medical technologies and clinical practice (AMTCP) book series). - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/431D6A9E-FC87-43D7-B24F-A8CC8CFEB841. - ISBN 9781522501169 (electronic bk.). - ISBN 1522501169 (electronic bk.)
Title screen (IGI Global, viewed 05/05/2016).
Параллельные издания: Print version: :
Содержание:
Molecular docking at a glance / Maryam Hamzeh-Mivehroud, Babak Sokouti, Siavoush Dastmalchi -- Methods for docking and drug designing / Ahmad Abu Turab Naqvi, Md. Imtaiyaz Hassan -- Scoring functions in docking experiments / Pravin Ambure, Kunal Roy -- The comparison of docking search algorithms and scoring functions: an overview and case studies / Marjana Novic [and 4 others] -- Protein ligand interaction fingerprints / Ali HajiEbrahimi [and 3 others] -- Different types of molecular docking based on variations of interacting molecules: variations of molecular docking / Amit Das, Simanti Bhattacharya -- Protein-protein docking: are we there yet? / Horia Jalily Hasani, Khaled H. Barakat -- Protein-ligand docking methodologies and its application in drug discovery / Sanchaita Rajkhowa, Ramesh C. Deka -- Scoring functions of protein-ligand interactions / Zhiqiang Yan, Jin Wang -- Molecular docking technique to understand enzyme-ligand interactions / Kailas Dashrath Sonawane, Maruti Jayram Dhanavade -- Recent advancements in docking methodologies / Vijay Kumar Srivastav, Vineet Singh, Meena Tiwari -- Docking methodologies and recent advances / Ashwani Kumar, Ruchika Goyal, Sandeep Jain -- Current trends in docking methodologies / Shubhandra Tripathi [and 3 others] -- Protein structure prediction using homology modeling: methods and tools / Akanksha Gupta, Pallavi Mohanty, Sonika Bhatnagar -- Online molecular docking resources / Adriana Isvoran.
Рубрики: Pharmaceutical technology.
Drugs--Design--Computer simulation.
Algorithms.
Drugs--Design.
Drug Design
Molecular Docking Simulation
Algorithms
Technology, Pharmaceutical
Techniques pharmaceutiques.
Médicaments--Conception--Simulation par ordinateur.
Algorithmes.
Médicaments--Conception.
algorithms.
MEDICAL--Pharmacology.
Algorithms.
Drugs--Design--Computer simulation.
Pharmaceutical technology.
Кл.слова (ненормированные):
Docking methodologies -- Docking search algorithms -- Enzyme-ligand interactions -- Online docking resources -- Protein structure prediction -- Protein-ligand interactions -- Protein-protein docking
Аннотация: "This book investigates the evolution of pharmaceutical design and computational approaches in the field of molecular docking, highlighting theoretical backgrounds and emergent research in the area of computer-assisted drug design"--Provided by publisher.
Доп.точки доступа:
Dastmalchi, Siavoush, (1966-) \editor.\
Hamzeh-Mivehroud, Maryam, (1981-) \editor.\
Sokouti, Babak, (1978-) \editor.\
IGI Global,
2.
Подробнее
C 73
Computational methods and algorithms for medicine and optimized clinical practice / / Kwok Tai Chui and Miltiadis D. Lytras, editors. - 4018/978-1-5225-8244-1. - Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : : IGI Global,, [2019]. - 1 online resource (17 PDFs (290 pages)) ( час. мин.), 4018/978-1-5225-8244-1. - (Advances in medical technologies and clinical practice (AMTTCP) book series). - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/ECAB8E0B-A67A-4551-AEB3-DCAD47D4D59A. - ISBN 1522582452. - ISBN 9781522582458 (electronic bk.)
Title screen (IGI Global, viewed 02/23/2019).
Параллельные издания: Print version: :
Содержание:
Chapter 1. Feasibility of using smart devices and digital technologies in the assessment of human cognitive abilities: perspective for India -- Chapter 2. An empirical study of information and communications technology (ICT) in the Nigerian health sector -- Chapter 3. Consideration of stress coping support system for prevention of mental disease using smart heart rate monitor -- Chapter 4. Algorithmic analysis of clinical, neuropsychological, and imaging data in localization-related epilepsy -- Chapter 5. Health information technology: implications for physician practice and professionalism -- Chapter 6. Predicting patient turnover: lessons from predicting customer churn using free-form call center notes -- Chapter 7. Exploring diseases relationships: an ontology-based spreading activation approach -- Chapter 8. Mental health clinical decision support exploiting big data -- Chapter 9. Glycemic monitoring and prediction with response improvement via psyllium.
~РУБ DDC 610.285
Рубрики: Medicine--Computer simulation.
Clinical medicine.
Algorithms.
Computer algorithms.
Computing Methodologies
Clinical Medicine--methods
Algorithms
Clinical Medicine
Médecine--Simulation par ordinateur.
Médecine clinique.
Algorithmes.
algorithms.
HEALTH & FITNESS--Holism.
HEALTH & FITNESS--Reference.
MEDICAL--Alternative Medicine.
MEDICAL--Atlases.
MEDICAL--Essays.
MEDICAL--Family & General Practice.
MEDICAL--Holistic Medicine.
MEDICAL--Osteopathy.
Algorithms.
Clinical medicine.
Medicine--Computer simulation.
Аннотация: "This book examines applied and theoretical aspects of industrial engineering and related areas. It also explores empirical and theoretical research on the development, improvement, implementation, and evaluation of integrated systems in engineering"--Provided by publisher.
Доп.точки доступа:
Chui, Kwok Tai, \editor.\
Lytras, Miltiadis D., (1973-) \editor.\
IGI Global,
C 73
Computational methods and algorithms for medicine and optimized clinical practice / / Kwok Tai Chui and Miltiadis D. Lytras, editors. - 4018/978-1-5225-8244-1. - Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : : IGI Global,, [2019]. - 1 online resource (17 PDFs (290 pages)) ( час. мин.), 4018/978-1-5225-8244-1. - (Advances in medical technologies and clinical practice (AMTTCP) book series). - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/ECAB8E0B-A67A-4551-AEB3-DCAD47D4D59A. - ISBN 1522582452. - ISBN 9781522582458 (electronic bk.)
Title screen (IGI Global, viewed 02/23/2019).
Параллельные издания: Print version: :
Содержание:
Chapter 1. Feasibility of using smart devices and digital technologies in the assessment of human cognitive abilities: perspective for India -- Chapter 2. An empirical study of information and communications technology (ICT) in the Nigerian health sector -- Chapter 3. Consideration of stress coping support system for prevention of mental disease using smart heart rate monitor -- Chapter 4. Algorithmic analysis of clinical, neuropsychological, and imaging data in localization-related epilepsy -- Chapter 5. Health information technology: implications for physician practice and professionalism -- Chapter 6. Predicting patient turnover: lessons from predicting customer churn using free-form call center notes -- Chapter 7. Exploring diseases relationships: an ontology-based spreading activation approach -- Chapter 8. Mental health clinical decision support exploiting big data -- Chapter 9. Glycemic monitoring and prediction with response improvement via psyllium.
Рубрики: Medicine--Computer simulation.
Clinical medicine.
Algorithms.
Computer algorithms.
Computing Methodologies
Clinical Medicine--methods
Algorithms
Clinical Medicine
Médecine--Simulation par ordinateur.
Médecine clinique.
Algorithmes.
algorithms.
HEALTH & FITNESS--Holism.
HEALTH & FITNESS--Reference.
MEDICAL--Alternative Medicine.
MEDICAL--Atlases.
MEDICAL--Essays.
MEDICAL--Family & General Practice.
MEDICAL--Holistic Medicine.
MEDICAL--Osteopathy.
Algorithms.
Clinical medicine.
Medicine--Computer simulation.
Аннотация: "This book examines applied and theoretical aspects of industrial engineering and related areas. It also explores empirical and theoretical research on the development, improvement, implementation, and evaluation of integrated systems in engineering"--Provided by publisher.
Доп.точки доступа:
Chui, Kwok Tai, \editor.\
Lytras, Miltiadis D., (1973-) \editor.\
IGI Global,
3.
Подробнее
A 57
Anggoro, Wisnu.
C++ Data Structures and Algorithms : : Learn how to write efficient code to build scalable and robust applications in C++. / Wisnu. Anggoro. - Birmingham : : Packt Publishing,, 2018. - 1 online resource (314 pages). - URL: https://library.dvfu.ru/lib/document/SK_ELIB/529FC5D6-2CD5-4D37-9C74-90054E79B518. - ISBN 9781788831970 (electronic bk.). - ISBN 1788831977 (electronic bk.)
Interpolation search. Print version record.
Параллельные издания: Print version: : Anggoro, Wisnu. C++ Data Structures and Algorithms : Learn how to write efficient code to build scalable and robust applications in C++. - Birmingham : Packt Publishing, ©2018
Содержание:
Cover; Title Page; Copyright and Credits; Packt Upsell; Contributors; Table of Contents; Preface; Chapter 1: Learning Data Structures and Algorithms in C++; Technical requirements; Introduction to basic C++; Creating your first code in C++; Enhancing code development experience with IDE; Defining the variables using fundamental data types; Controlling the flow of the code; Conditional statement; Loop statement; Leveraging the variable capability using advanced data types; Developing abstract data types; Applying C++ classes to build user-defined ADTs; Playing with templates.
Function templatesClass templates; Standard Template Library; Analyzing the algorithm; Asymptotic analysis; Worst, average, and best cases; Big Theta, Big-O, and Big Omega; Recursive method; Amortized analysis; Summary; QA section; Further reading; Chapter 2: Storing Data in Lists and Linked Lists; Technical requirements; Getting closer to an array; Building a List ADT; Fetching an item in the List; Inserting an item into the List ADT; Finding out the index of a selected item in the List ADT; Removing an item from the List ADT; Consuming a List ADT; Introduction to node.
Building a Singly Linked List ADTFetching an item in the LinkedList class; Inserting an item in the LinkedList class; Getting the index of the selected item in the LinkedList; Removing an item from the LinkedList ADT; Consuming the LinkedList ADT; Building the Doubly Linked List ADT; Refactoring the Node data type; Refactoring several operations in the LinkedList ADT; Removing an element; Inserting an element; Consuming the DoublyLinkedList ADT; Applying List and LinkedList using STL; std::vector; std::list; Summary; QA section; Further reading; Chapter 3: Constructing Stacks and Queues.
Technical requirementsBuilding a Stack ADT; Fetching the item's value in the Stack ADT; Pushing the items of the Stack ADT; Popping the items from the Stack ADT; Consuming a Stack ADT; Another example of Stack ADT implementation; Building a Queue ADT; Getting a value from Queue ADT; Inserting an element into the Queue ADT; Removing an element from the Queue ADT; Consuming the Queue ADT; Building a Deque ADT; Fetching a value from a Deque; Enqueueing an element into the Deque ADT; Dequeuing an element from the Deque ADT; Consuming the Deque ADT; Summary; QA section; Further reading.
Chapter 4: Arranging Data Elements Using a Sorting AlgorithmTechnical requirements; Bubble sort; Selection sort; Insertion sort; Merge sort; Quick sort; Counting sort; Radix sort; Summary; QA section; Further reading; Chapter 5: Finding out an Element Using Searching Algorithms; Technical requirements; Linear search; Developing a linear search algorithm; Implementing the linear search algorithm; Binary search; Developing binary search algorithm; Implementing binary search algorithm ; Ternary search; Developing ternary search algorithm; Applying the ternary search algorithm.
~РУБ DDC 005.133
Рубрики: C++ (Computer program language)
Data structures (Computer science)
Computer algorithms.
Algorithms.
C++ (Langage de programmation)
Structures de données (Informatique)
Algorithmes.
algorithms.
COMPUTERS--Programming Languages--C#.
Data structures (Computer science)
C++ (Computer program language)
Computer algorithms.
Аннотация: C++ is a general-purpose programming language which has evolved over the years and is used to develop software for many different sectors. This book will be your companion as it takes you through implementing classic data structures and algorithms to help you get up and running as a confident C++ programmer.
A 57
Anggoro, Wisnu.
C++ Data Structures and Algorithms : : Learn how to write efficient code to build scalable and robust applications in C++. / Wisnu. Anggoro. - Birmingham : : Packt Publishing,, 2018. - 1 online resource (314 pages). - URL: https://library.dvfu.ru/lib/document/SK_ELIB/529FC5D6-2CD5-4D37-9C74-90054E79B518. - ISBN 9781788831970 (electronic bk.). - ISBN 1788831977 (electronic bk.)
Interpolation search. Print version record.
Параллельные издания: Print version: : Anggoro, Wisnu. C++ Data Structures and Algorithms : Learn how to write efficient code to build scalable and robust applications in C++. - Birmingham : Packt Publishing, ©2018
Содержание:
Cover; Title Page; Copyright and Credits; Packt Upsell; Contributors; Table of Contents; Preface; Chapter 1: Learning Data Structures and Algorithms in C++; Technical requirements; Introduction to basic C++; Creating your first code in C++; Enhancing code development experience with IDE; Defining the variables using fundamental data types; Controlling the flow of the code; Conditional statement; Loop statement; Leveraging the variable capability using advanced data types; Developing abstract data types; Applying C++ classes to build user-defined ADTs; Playing with templates.
Function templatesClass templates; Standard Template Library; Analyzing the algorithm; Asymptotic analysis; Worst, average, and best cases; Big Theta, Big-O, and Big Omega; Recursive method; Amortized analysis; Summary; QA section; Further reading; Chapter 2: Storing Data in Lists and Linked Lists; Technical requirements; Getting closer to an array; Building a List ADT; Fetching an item in the List; Inserting an item into the List ADT; Finding out the index of a selected item in the List ADT; Removing an item from the List ADT; Consuming a List ADT; Introduction to node.
Building a Singly Linked List ADTFetching an item in the LinkedList class; Inserting an item in the LinkedList class; Getting the index of the selected item in the LinkedList; Removing an item from the LinkedList ADT; Consuming the LinkedList ADT; Building the Doubly Linked List ADT; Refactoring the Node data type; Refactoring several operations in the LinkedList ADT; Removing an element; Inserting an element; Consuming the DoublyLinkedList ADT; Applying List and LinkedList using STL; std::vector; std::list; Summary; QA section; Further reading; Chapter 3: Constructing Stacks and Queues.
Technical requirementsBuilding a Stack ADT; Fetching the item's value in the Stack ADT; Pushing the items of the Stack ADT; Popping the items from the Stack ADT; Consuming a Stack ADT; Another example of Stack ADT implementation; Building a Queue ADT; Getting a value from Queue ADT; Inserting an element into the Queue ADT; Removing an element from the Queue ADT; Consuming the Queue ADT; Building a Deque ADT; Fetching a value from a Deque; Enqueueing an element into the Deque ADT; Dequeuing an element from the Deque ADT; Consuming the Deque ADT; Summary; QA section; Further reading.
Chapter 4: Arranging Data Elements Using a Sorting AlgorithmTechnical requirements; Bubble sort; Selection sort; Insertion sort; Merge sort; Quick sort; Counting sort; Radix sort; Summary; QA section; Further reading; Chapter 5: Finding out an Element Using Searching Algorithms; Technical requirements; Linear search; Developing a linear search algorithm; Implementing the linear search algorithm; Binary search; Developing binary search algorithm; Implementing binary search algorithm ; Ternary search; Developing ternary search algorithm; Applying the ternary search algorithm.
Рубрики: C++ (Computer program language)
Data structures (Computer science)
Computer algorithms.
Algorithms.
C++ (Langage de programmation)
Structures de données (Informatique)
Algorithmes.
algorithms.
COMPUTERS--Programming Languages--C#.
Data structures (Computer science)
C++ (Computer program language)
Computer algorithms.
Аннотация: C++ is a general-purpose programming language which has evolved over the years and is used to develop software for many different sectors. This book will be your companion as it takes you through implementing classic data structures and algorithms to help you get up and running as a confident C++ programmer.
4.
Подробнее
D 53
Diakopoulos, Nicholas,.
Automating the news : : how algorithms are rewriting the media / / Nicholas Diakopoulos. - Cambridge, Massachusetts : : Harvard University Press,, ©2019. - 1 online resource (322 pages) : : il. - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/E56F3BD7-9243-4E84-93A1-841FBF5A284B. - ISBN 9780674239302 (electronic book). - ISBN 067423930X (electronic book). - ISBN 9780674239319 (electronic bk.). - ISBN 0674239318 (electronic bk.)
Online resource; title from digital title page (viewed on May 15, 2019).
Содержание:
Introduction: The era of new algorithms -- Hybridization: combining algorithms, automation, and people in newswork -- Journalistic data mining -- Automated content production -- Newsbots: agents of information -- Digital paperboys: algorithms in news distribution -- Algorithmic accountability reporting -- Conclusion: The future of algorithmic news media.
~РУБ DDC 070.4/3
Рубрики: Journalism--Technological innovations.
Online journalism.
Digital media.
Algorithms.
Multimedia data mining.
Computer algorithms.
Journalisme--Innovations.
Journalisme en ligne.
Médias numériques.
Algorithmes.
Exploration de données multimédia.
algorithms.
LANGUAGE ARTS & DISCIPLINES--Journalism.
LANGUAGE ARTS & DISCIPLINES / Journalism
Algorithms.
Digital media.
Journalism--Technological innovations.
Multimedia data mining.
Online journalism.
Аннотация: Amid the push for self-driving cars and the roboticization of industrial economies, automation has proven one of the biggest news stories of our time. Yet the wide-scale automation of the news itself has largely escaped attention. In this lively exposé of that rapidly shifting terrain, Nicholas Diakopoulos focuses on the people who tell the stories--increasingly with the help of computer algorithms that are fundamentally changing the creation, dissemination, and reception of the news. Diakopoulos reveals how machine learning and data mining have transformed investigative journalism. Newsbots converse with social media audiences, distributing stories and receiving feedback. Online media has become a platform for A/B testing of content, helping journalists to better understand what moves audiences. Algorithms can even draft certain kinds of stories. These techniques enable media organizations to take advantage of experiments and economies of scale, enhancing the sustainability of the fourth estate. But they also place pressure on editorial decision-making, because they allow journalists to produce more stories, sometimes better ones, but rarely both. Automating the News responds to hype and fears surrounding journalistic algorithms by exploring the human influence embedded in automation. Though the effects of automation are deep, Diakopoulos shows that journalists are at little risk of being displaced. With algorithms at their fingertips, they may work differently and tell different stories than they otherwise would, but their values remain the driving force behind the news. The human-algorithm hybrid thus emerges as the latest embodiment of an age-old tension between commercial imperatives and journalistic principles.--
D 53
Diakopoulos, Nicholas,.
Automating the news : : how algorithms are rewriting the media / / Nicholas Diakopoulos. - Cambridge, Massachusetts : : Harvard University Press,, ©2019. - 1 online resource (322 pages) : : il. - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/E56F3BD7-9243-4E84-93A1-841FBF5A284B. - ISBN 9780674239302 (electronic book). - ISBN 067423930X (electronic book). - ISBN 9780674239319 (electronic bk.). - ISBN 0674239318 (electronic bk.)
Online resource; title from digital title page (viewed on May 15, 2019).
Содержание:
Introduction: The era of new algorithms -- Hybridization: combining algorithms, automation, and people in newswork -- Journalistic data mining -- Automated content production -- Newsbots: agents of information -- Digital paperboys: algorithms in news distribution -- Algorithmic accountability reporting -- Conclusion: The future of algorithmic news media.
Рубрики: Journalism--Technological innovations.
Online journalism.
Digital media.
Algorithms.
Multimedia data mining.
Computer algorithms.
Journalisme--Innovations.
Journalisme en ligne.
Médias numériques.
Algorithmes.
Exploration de données multimédia.
algorithms.
LANGUAGE ARTS & DISCIPLINES--Journalism.
LANGUAGE ARTS & DISCIPLINES / Journalism
Algorithms.
Digital media.
Journalism--Technological innovations.
Multimedia data mining.
Online journalism.
Аннотация: Amid the push for self-driving cars and the roboticization of industrial economies, automation has proven one of the biggest news stories of our time. Yet the wide-scale automation of the news itself has largely escaped attention. In this lively exposé of that rapidly shifting terrain, Nicholas Diakopoulos focuses on the people who tell the stories--increasingly with the help of computer algorithms that are fundamentally changing the creation, dissemination, and reception of the news. Diakopoulos reveals how machine learning and data mining have transformed investigative journalism. Newsbots converse with social media audiences, distributing stories and receiving feedback. Online media has become a platform for A/B testing of content, helping journalists to better understand what moves audiences. Algorithms can even draft certain kinds of stories. These techniques enable media organizations to take advantage of experiments and economies of scale, enhancing the sustainability of the fourth estate. But they also place pressure on editorial decision-making, because they allow journalists to produce more stories, sometimes better ones, but rarely both. Automating the News responds to hype and fears surrounding journalistic algorithms by exploring the human influence embedded in automation. Though the effects of automation are deep, Diakopoulos shows that journalists are at little risk of being displaced. With algorithms at their fingertips, they may work differently and tell different stories than they otherwise would, but their values remain the driving force behind the news. The human-algorithm hybrid thus emerges as the latest embodiment of an age-old tension between commercial imperatives and journalistic principles.--
5.
Подробнее
L 66
Li, HaiSheng, (1974-).
Examining quantum algorithms for quantum image processing / / HaiSheng Li. - Hershey, PA : : Engineering Science Reference, an imprint of IGI Global,, [2021]. - 1 online resource (xviii, 336 pages) : : il. - (Advances in computer and electrical engineering (ACEE) book series). - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/107C8393-ECAB-4857-8148-CA7E073D5F63. - ISBN 9781799838012 (electronic book). - ISBN 1799838013 (electronic book). - ISBN 1799838005 (electronic book). - ISBN 9781799838005 (electronic bk.)
"Premier Reference Source" -- taken from front cover. Description based on online resource; title from digital title page (viewed on October 01, 2020).
Параллельные издания: Print version: : Li, HaiSheng, 1974- Examining quantum algorithms for quantum image processing. - Hershey, PA : Engineering Science Reference, an imprint of IGI Global, [2020]. - ISBN 9781799837992
Содержание:
Chapter 1. Fundamentals of quantum computation -- Chapter 2. The storage and retrieval technologies of quantum images -- Chapter 3. Quantum geometric transformations -- Chapter 4. Quantum fourier transforms -- Chapter 5. Quantum wavelet transforms -- Chapter 6. Quantum wavelet packet transforms -- Chapter 7. Quantum image segmentation algorithms.
~РУБ DDC 006.3/843
Рубрики: Image processing--Mathemaics.
Quantum optics.
Quantum computing.
Algorithms.
Algorithms.
Quantum computing.
Quantum optics.
Аннотация: "This book provides a comprehensive introduction to quantum image algorithms to establish frameworks of quantum image processing"--
L 66
Li, HaiSheng, (1974-).
Examining quantum algorithms for quantum image processing / / HaiSheng Li. - Hershey, PA : : Engineering Science Reference, an imprint of IGI Global,, [2021]. - 1 online resource (xviii, 336 pages) : : il. - (Advances in computer and electrical engineering (ACEE) book series). - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/107C8393-ECAB-4857-8148-CA7E073D5F63. - ISBN 9781799838012 (electronic book). - ISBN 1799838013 (electronic book). - ISBN 1799838005 (electronic book). - ISBN 9781799838005 (electronic bk.)
"Premier Reference Source" -- taken from front cover. Description based on online resource; title from digital title page (viewed on October 01, 2020).
Параллельные издания: Print version: : Li, HaiSheng, 1974- Examining quantum algorithms for quantum image processing. - Hershey, PA : Engineering Science Reference, an imprint of IGI Global, [2020]. - ISBN 9781799837992
Содержание:
Chapter 1. Fundamentals of quantum computation -- Chapter 2. The storage and retrieval technologies of quantum images -- Chapter 3. Quantum geometric transformations -- Chapter 4. Quantum fourier transforms -- Chapter 5. Quantum wavelet transforms -- Chapter 6. Quantum wavelet packet transforms -- Chapter 7. Quantum image segmentation algorithms.
Рубрики: Image processing--Mathemaics.
Quantum optics.
Quantum computing.
Algorithms.
Algorithms.
Quantum computing.
Quantum optics.
Аннотация: "This book provides a comprehensive introduction to quantum image algorithms to establish frameworks of quantum image processing"--
Страница 1, Результатов: 5