Seems you have not registered as a member of localhost.saystem.shop!
You may have to register before you can download all our books and magazines, click the sign up button below to create a free account.
Frontier and Future Development of Information Technology in Medicine and Education
IT changes everyday’s life, especially in education and medicine. The goal of ITME 2013 is to further explore the theoretical and practical issues of IT in education and medicine. It also aims to foster new ideas and collaboration between researchers and practitioners.
Implementation of AI and machine learning technologies in medicine
description not available right now.
Comparative Genomics and Functional Genomics Analyses in Plants
description not available right now.
Harvest the Wind
Winds sweeping across the Great Plains once robbed the Farm Belt of its future, stripping away overworked topsoil and creating the dreaded Dust Bowl of the 1930s. Today, those winds are bringing new hope to the declining rural communities of the central United States. Nowhere is wind's promise more palpable than in Cloud County, Kansas, home to the Meridian Way Wind Farm, whose turbines are boosting farm incomes and bringing green jobs to a community that has watched its children flock elsewhere. Modern wind power is the best thing to hit this stretch of midwestern prairie since the Union Pacific railroad. In Harvest the Wind, Warburg brings us the people behind the green economy-powered res...
Lake Taihu, China
2 In China, there are more than 2,759 lakes with surface area greater than 1km , and 2 the total lake area is 91,019km . One-third of these lakes are freshwater lakes, and the majority are situated in the middle and lower reaches of the Changjiang River or in eastern China’s coastal areas. These lakes function as drinking water supplies, ood control systems, aquaculture and tourism resources, navigation channels, etc. Recently, many shallow lakes in China have been subject to rapid eutrophication and suffer from algal blooms. This issue has resulted in a shortage of drinking water and in degradation of their ecosystems. The control of eutrophication of shallow lakes is one of the main issu...
Fuzzy Systems and Data Mining IV
Big Data Analytics is on the rise in the last years of the current decade. Data are overwhelming the computation capacity of high performance servers. Cloud, grid, edge and fog computing are a few examples of the current hype. Computational Intelligence offers two faces to deal with the development of models: on the one hand, the crisp approach, which considers for every variable an exact value and, on the other hand, the fuzzy focus, which copes with values between two boundaries. This book presents 114 papers from the 4th International Conference on Fuzzy Systems and Data Mining (FSDM 2018), held in Bangkok, Thailand, from 16 to 19 November 2018. All papers were carefully reviewed by program committee members, who took into consideration the breadth and depth of the research topics that fall within the scope of FSDM. The acceptance rate was 32.85% . Offering a state-of-the-art overview of fuzzy systems and data mining, the publication will be of interest to all those whose work involves data science.
Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease
Data analytics is proving to be an ally for epidemiologists as they join forces with data scientists to address the scale of crises. Analytics examined from many sources can derive insights and be used to study and fight global outbreaks. Pandemic analytics is a modern way to combat a problem as old as humanity itself: the proliferation of disease. Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease explores different types of data and discusses how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more by applying cutting edge technology such as machine learning and data analytics in the wake of the COVID-19 pandemic. Covering a range of topics such as mental health analytics during COVID-19, data analysis and machine learning using Python, and statistical model development and deployment, it is ideal for researchers, academicians, data scientists, technologists, data analysts, diagnosticians, healthcare professionals, computer scientists, and students.
