Essays about: "thesis for data centers"

Showing result 1 - 5 of 124 essays containing the words thesis for data centers.

  1. 1. Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Nikolaos Staikos; [2024]
    Keywords : Physical Geography; Ecosystem Analysis; Bike-sharing demand; Machine learning; Deep learning; Spatial regression; Graph Convolutional Neural Network; Multiple Linear Regression; Multilayer Perceptron Regressor; Support Vector Machine; Random Forest Regressor; Urban environment; Micro-mobility; Station planning; Geomatics; Earth and Environmental Sciences;

    Abstract : Public Bike-Sharing systems have been employed in many cities around the globe. Shared bikes are an efficient and convenient means of transportation in advanced societies. Nonetheless, station planning and local bike-sharing network effectiveness can be challenging. READ MORE

  3. 2. Traces of Iron Age activities at Kullen - A New Synthesis

    University essay from Lunds universitet/Arkeologi

    Author : Karolina Jacobsen; [2023]
    Keywords : iron age; Scania; kullaberg; kullen; social structures; GIS; spatial analysis; assemblage theory; affordance theory; entanglement theory; power; resources; older remains; social roles; sites; functions; landscape archaeology; social; culture; activities; cultural landscapes; historical legacies; History and Archaeology;

    Abstract : Kullen has had a huge gap in knowledge about the Iron Age period. This thesis offers a new synthesis to close this gap in knowledge of the Iron Age period in the region. The aim of this study was to gain more knowledge about the Iron Age and the activities during this period in the areas. READ MORE

  4. 3. Purchasing and digitalization in an era of turbulence

    University essay from Lunds universitet/Teknisk logistik

    Author : Vishal Natesan; Emil Sarajlic; [2023]
    Keywords : Supplying; digitisation; digitalization; Artificial Intelligence; Turbulence; Delivery performance; Duni Group; Technology and Engineering;

    Abstract : Abstract Title: Purchasing and digitalization in an era of turbulence Authors: Emil Sarajlic & Vishal Natesan Supervisor: Wilbert Baerwaldt, Director Sourcing and Value Chain at Duni AB Louise Bildsten, Department of Industrial Management & Logistics, Faculty of Engineering, Lund University Examiner: Jan Olhager, Department of Industrial Management & Logistics, Faculty of Engineering, Lund University Background: This research delves into the uncertainties and challenges encountered in global supply chain operations, exacerbated by unpredictable events such as the COVID-19 pandemic and the 2021 Suez Canal obstruction. These disruptions can lead to stock-outs, poor capacity utilization, and the need for expensive buffers. READ MORE

  5. 4. Empowering Women, Supporting Children. Early Childhood Development Centers as a Strategy to Reduce Unpaid Care Work and Promote Women’s Economic Empowerment in Nyanza, Rwanda.

    University essay from Lunds universitet/Ekonomisk-historiska institutionen

    Author : Michele Scalzulli; [2023]
    Keywords : Unpaid Care Work; Early Childhood Development Centers; Women s Economic Empowerment; Rwanda; Gender Equality.; Business and Economics;

    Abstract : This thesis examines the effects of early childhood development centers (ECDC) on unpaid care work (UCW) and women's economic empowerment in Rwanda. Thanks to the collaboration of ActionAid Rwanda (AAR), data from a sample of women in Nyanza district was collected and analyzed to gain insights into UCW dynamics and the role of ECDCs in women's lives. READ MORE

  6. 5. Neural Networks for Predictive Maintenance on Highly Imbalanced Industrial Data

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Oscar Montilla Tabares; [2023]
    Keywords : Class Imbalance; Cost Sensitivity; Cost-Sensitive Learning; Focal Loss; Binary Classification; Machine Learning; Deep Learning;

    Abstract : Preventive maintenance plays a vital role in optimizing industrial operations. However, detecting equipment needing such maintenance using available data can be particularly challenging due to the class imbalance prevalent in real-world applications. READ MORE