Sökning: "experimental data"

Visar resultat 1 - 5 av 3410 avhandlingar innehållade orden experimental data.

1. 1. Dynamic Adaptations of Synchronization Granularity in Concurrent Data Structures

   Författare :Kjell Winblad; Konstantinos Sagonas; Erez Petrank; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; concurrent data structures; contention adapting; range queries; lock-freedom; adaptivity; linearizability; ordered sets; maps; key-value stores; concurrent priority queues; relaxed concurrent data structures; locks; delegation locking; Computer Science; Datavetenskap;

   Sammanfattning : The multicore revolution means that programmers have many cores at their disposal in everything from phones to large server systems. Concurrent data structures are needed to make good use of all the cores. Designing a concurrent data structure that performs well across many different scenarios is a difficult task. LÄS MER

3. 2. Experimental Governance : Capacity and legitimacy in local governments

   Författare :Erica Eneqvist; Andrew Karvonen; Hans Westlund; Kersti Karltorp; Annica Kronsell; KTH; []
   Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Experimental governance; legitimacy; municialities; democracy; organisational capacity; capacity-building; local government; public sector innovation; Urbana och regionala studier; Urban and Regional Studies;

   Sammanfattning : Contemporary planning and governance of cities involves practices of experiments and trials in urban experiments, collaborative platforms, and urban development projects with high ambitions for sustainability and innovative solutions. These practices of experimental governance can be seen as new policy instruments that include actors from all sectors of society in collective problem-solving. LÄS MER

4. 3. Parallel Data Streaming Analytics in the Context of Internet of Things

   Författare :Hannaneh Najdataei; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; clustering; stream continuous data processing; edge computing; Internet of Things; parallelism; elasticity; data analysis; fog computing; scalability;

   Sammanfattning : We are living in an increasingly connected world, where the ubiquitously sensing technologies enable inter-connection of physical objects, as part of Internet of Things (IoT), and provide continuous massive amount of data. As this growth soars, benefits and challenges come together, which requires development of right tools in order to extract valuable information from data. LÄS MER

5. 4. Smart Cities and Big Data Analytics : A Data-Driven Decision-Making Perspective

   Författare :Ahmed M. Shahat Osman; Ahmed Elragal; Anna Ståhlbröst; Eli Hustad; Luleå tekniska universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; smart cities; big data analytics; data-driven decision-making; Informationssystem; Information Systems;

   Sammanfattning : The phenomenon of digitalization has led to the emergence of a new term—big data. Big data refers to the vast volumes of digital data characterized by its volume, velocity, variety, veracity, and value. LÄS MER

7. 5. Random Forest for Histogram Data : An application in data-driven prognostic models for heavy-duty trucks

   Författare :Ram Bahadur Gurung; Henrik Boström; Tony Lindgren; Niklas Lavesson; Stockholms universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Histogram data; random forest; NOx sensor failure; random forest interpretation; Computer and Systems Sciences; data- och systemvetenskap;

   Sammanfattning : Data mining and machine learning algorithms are trained on large datasets to find useful hidden patterns. These patterns can help to gain new insights and make accurate predictions. Usually, the training data is structured in a tabular format, where the rows represent the training instances and the columns represent the features of these instances. LÄS MER