Predicting Hotspots PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Predicting Hotspots PDF full book. Access full book title Predicting Hotspots by Atin Basuchoudhary. Download full books in PDF and EPUB format.
Author: Atin Basuchoudhary
Publisher: Rowman & Littlefield
ISBN: 1498587003
Category : Business & Economics
Languages : en
Pages : 179
Get Book Here
Book Description
This book should be useful to anyone interested in identifying the causes of civil conflict and doing something to end it. It even suggests a pathway for the lay reader. Civil conflict is a persistent source of misery to humankind. Its study, however, lacks a comprehensive theory of its causes. Nevertheless, the question of cooperation or conflict is at the heart of political economy. This book introduces Machine Learning to explore whether there even is a unified theory of conflict, and if there is, whether it is a ‘good’ one. A good theory is one that not only identifies the causes of conflict, but also identifies those causes that predict conflict. Machine learning algorithms use out of sample techniques to choose between competing hypotheses about the sources of conflict according to their predictive accuracy. This theoretically agnostic ‘picking’ has the added benefit of offering some protection against many of the problems noted in the current literature; the tangled causality between conflict and its correlates, the relative rarity of civil conflict at a global level, missing data, and spectacular statistical assumptions. This book argues that the search for a unified theory of conflict must begin among these more predictive sources of civil conflict. In fact, in the book, there is a clear sense that game theoretic rational choice models of bargaining/commitment failure predict conflict better than any other approach. In addition, the algorithms highlight the fact that conflict is path dependent - it tends to continue once started. This is intuitive in many ways but is roundly ignored as a matter of science. It should not. Further, those causes of conflict that best predict conflict can be used as policy levers to end or prevent conflict. This book should therefore be of interest to military and civil leaders engaged in ending civil conflict. Last, though not least, the book highlights how the sources of conflict affect conflict. This additional insight may allow the crafting of policies that match a country’s specific circumstance.
Author: Atin Basuchoudhary
Publisher: Rowman & Littlefield
ISBN: 1498587003
Category : Business & Economics
Languages : en
Pages : 179
Get Book Here
Book Description
This book should be useful to anyone interested in identifying the causes of civil conflict and doing something to end it. It even suggests a pathway for the lay reader. Civil conflict is a persistent source of misery to humankind. Its study, however, lacks a comprehensive theory of its causes. Nevertheless, the question of cooperation or conflict is at the heart of political economy. This book introduces Machine Learning to explore whether there even is a unified theory of conflict, and if there is, whether it is a ‘good’ one. A good theory is one that not only identifies the causes of conflict, but also identifies those causes that predict conflict. Machine learning algorithms use out of sample techniques to choose between competing hypotheses about the sources of conflict according to their predictive accuracy. This theoretically agnostic ‘picking’ has the added benefit of offering some protection against many of the problems noted in the current literature; the tangled causality between conflict and its correlates, the relative rarity of civil conflict at a global level, missing data, and spectacular statistical assumptions. This book argues that the search for a unified theory of conflict must begin among these more predictive sources of civil conflict. In fact, in the book, there is a clear sense that game theoretic rational choice models of bargaining/commitment failure predict conflict better than any other approach. In addition, the algorithms highlight the fact that conflict is path dependent - it tends to continue once started. This is intuitive in many ways but is roundly ignored as a matter of science. It should not. Further, those causes of conflict that best predict conflict can be used as policy levers to end or prevent conflict. This book should therefore be of interest to military and civil leaders engaged in ending civil conflict. Last, though not least, the book highlights how the sources of conflict affect conflict. This additional insight may allow the crafting of policies that match a country’s specific circumstance.
Author: De-Shuang Huang
Publisher: Springer
ISBN: 331942291X
Category : Computers
Languages : en
Pages : 882
Get Book Here
Book Description
This two-volume set LNCS 9771 and LNCS 9772 constitutes - in conjunction with the volume LNAI 9773 - the refereed proceedings of the 12th International Conference on Intelligent Computing, ICIC 2016, held in Lanzhou, China, in August 2016. The 221 full papers and 15 short papers of the three proceedings volumes were carefully reviewed and selected from 639 submissions. The papers are organized in topical sections such as signal processing and image processing; information security, knowledge discovery, and data mining; systems biology and intelligent computing in computational biology; intelligent computing in scheduling; information security; advances in swarm intelligence: algorithms and applications; machine learning and data analysis for medical and engineering applications; evolutionary computation and learning; independent component analysis; compressed sensing, sparse coding; social computing; neural networks; nature inspired computing and optimization; genetic algorithms; signal processing; pattern recognition; biometrics recognition; image processing; information security; virtual reality and human-computer interaction; healthcare informatics theory and methods; artificial bee colony algorithms; differential evolution; memetic algorithms; swarm intelligence and optimization; soft computing; protein structure and function prediction; advances in swarm intelligence: algorithms and applications; optimization, neural network, and signal processing; biomedical informatics and image processing; machine learning; knowledge discovery and natural language processing; nature inspired computing and optimization; intelligent control and automation; intelligent data analysis and prediction; computer vision; knowledge representation and expert system; bioinformatics.
Author: Liang Cheng
Publisher: Frontiers Media SA
ISBN: 2889769151
Category : Science
Languages : en
Pages : 158
Get Book Here
Book Description
Author: Mareile Kaufmann
Publisher: Policy Press
ISBN: 1529233585
Category : Computers
Languages : en
Pages : 186
Get Book Here
Book Description
Information matters to us. Whether recorded, recoded, or unregistered, information co-shapes our present and our becoming. This book advances new views on information and surveillance practices. Starting with a methodology for studying the liveliness of information, Kaufmann provides four empirical examples of making information matter: association, conversion, secrecy, and speculation. In so doing, she presents an original and comprehensive argument about the materiality of information and invites us to investigate, and to reflect about what matters. This is a go-to text for scholars and professionals working in the fields of surveillance, data studies, and the digitization of specific societal sectors.
Author: Kodamala Prathyusha
Publisher: GRIN Verlag
ISBN: 338906205X
Category : Business & Economics
Languages : en
Pages : 107
Get Book Here
Book Description
Doctoral Thesis / Dissertation from the year 2024 in the subject Environmental Sciences - Sustainability, grade: PhD, Andhra University (Andhra University), course: Environemntal Science, language: English, abstract: The present study concentrated on the prediction of Malaria risk zones in the study area. According to WHO 2022 report, the disease claimed the lives of almost 274,000 kids under the age of five, or 67% of all malaria deaths worldwide. Major causes of death among children vary by age. It reflects that “Every two minutes, a child dies from malaria”. Also, it emphasizes third Sustainable Development Goal (SDG-3), which Ensure healthy lives and promote well-being for all at all ages, the world is not on a trajectory to achieve the SDG 3 target of ending malaria by 2030. Beside many Malaria reduction programs initiated by the local government and WHO, that reduced the impact of Malaria in many parts of the world. But the UN and WHO objective the Malaria should be endemic by 2030. In addition, The Institute of Health Metrics and Evaluation (IHME) world malaria statistics also shows that the malaria fatality is reduced from 8,92,032 to 6,26,909 during the years 2001-2020. The study area comprises of 12 Tribal population impacted mandals that covers 6,519.9 Sq. Km and chosen study area is prone to malaria disease. In order to reduce the Malaria hazard impact in the study area a right, the hotspot prediction method is needed which is of high importance. The present research proposed and developed a novel Spatial Analysis for Malaria Risk Reduction (SAMRR). The prediction accuracy of the SAMRR is very high compared with other Machine Learning (ML) algorithms. This work focuses on six objects related to ‘Malaria Health Hazard Risk Reduction’ with GIS and Machine Learning (ML) procedures. Data collected from various national and international research and academic repositories such as APSAC, APSDPS and DMFW dept. related to demographic, health and environmental aspects that are help to evaluate the malaria incidence in the study area.
Author: Auroop R. Ganguly
Publisher: CRC Press
ISBN: 1420082337
Category : Business & Economics
Languages : en
Pages : 238
Get Book Here
Book Description
As sensors become ubiquitous, a set of broad requirements is beginning to emerge across high-priority applications including disaster preparedness and management, adaptability to climate change, national or homeland security, and the management of critical infrastructures. This book presents innovative solutions in offline data mining and real-time
Author: Ordoñez de Pablos, Patricia
Publisher: IGI Global
ISBN: 1799803597
Category : Business & Economics
Languages : en
Pages : 478
Get Book Here
Book Description
Collaboration in business allows for equitable opportunities and inclusive growth as the economy rises while also permitting partnering organizations to adopt and utilize the latest successful practices and management. However, a market in stasis may require a displacement in order to allow businesses to grow and create new alliances and partnerships toward a shared economy. There is a need for studies that seek to understand the necessity of market disruption and the best supervisory methods for remaining relevant and profitable in a time of change. The Handbook of Research on Managerial Practices and Disruptive Innovation in Asia is an essential reference source that explores successful executive behavior and business operations striving toward a more inclusive economy. Featuring research on topics such as employee welfare, brand orientation, and entrepreneurship, this publication is ideally designed for human resources developers, policymakers, IT specialists, economists, executives, managers, corporate directors, information technologists, and academicians seeking current research focusing on innovative business factors and sustainable economies in Asia.
Author: Sridaran Rajagopal
Publisher: Springer Nature
ISBN: 3031591003
Category :
Languages : en
Pages : 495
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category : Communicable diseases
Languages : en
Pages : 1374
Get Book Here
Book Description
Author: Bairong Shen
Publisher: Springer Science & Business Media
ISBN: 9400779755
Category : Science
Languages : en
Pages : 219
Get Book Here
Book Description
The book introduces the bioinformatics tools, databases and strategies for the translational research, focuses on the biomarker discovery based on integrative data analysis and systems biological network reconstruction. With the coming of personal genomics era, the biomedical data will be accumulated fast and then it will become reality for the personalized and accurate diagnosis, prognosis and treatment of complex diseases. The book covers both state of the art of bioinformatics methodologies and the examples for the identification of simple or network biomarkers. In addition, bioinformatics software tools and scripts are provided to the practical application in the study of complex diseases. The present state, the future challenges and perspectives were discussed. The book is written for biologists, biomedical informatics scientists and clinicians, etc. Dr. Bairong Shen is Professor and Director of Center for Systems Biology, Soochow University; he is also Director of Taicang Center for Translational Bioinformatics.
