Sökning: "novel process"
Visar resultat 1 - 5 av 781 uppsatser innehållade orden novel process.
1. Feature Selection for Microarray Data via Stochastic Approximation
Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : This thesis explores the challenge of feature selection (FS) in machine learning, which involves reducing the dimensionality of data. The selection of a relevant subset of features from a larger pool has demonstrated its effectiveness in enhancing the performance of various machine learning algorithms. LÄS MER
2. Regenerating Land, Regenerating Self: Towards a Care-full Regeneration Cycle of Inner-Outer Transformation
Master-uppsats, Lunds universitet/Institutionen för kulturgeografi och ekonomisk geografi; Lunds universitet/HumanekologiSammanfattning : The world needs rapid transformation if we are to shift towards more just and regenerative socio-ecological futures. In merging scholarly fields of transformation studies, regeneration and ethics of care this thesis explores the connection between inner-outer regeneration through the in-depth study of a transformative caring process. LÄS MER
3. Optimization of Solid-State Fermentation process for brown seaweed using LAB and characterization of the products
Master-uppsats, Lunds universitet/Bioteknik (CI); Lunds universitet/Bioteknik (master)Sammanfattning : Fermentation has played a vital role in human history, offering solutions for food preservation, culinary diversity, and the creation of diverse and flavorful foods and beverages. Its importance continues today, both in traditional practices and in modern industrial applications. LÄS MER
4. Potential and Limitations of the Sketch Map Tool in the International Red Cross Red Crescent Movement
Master-uppsats, Lunds universitet/Avdelningen för Riskhantering och SamhällssäkerhetSammanfattning : In disaster risk management, participatory mapping (PM) closes spatial data gaps in communities by integrating local risk knowledge. The thesis examined the potential and limitations of the Sketch Map Tool (SMT) as a PM tool for community-based disaster risk reduction (DRR) through an International Red Cross Red Crescent Movement case study. LÄS MER
5. Self-Supervised Learning for Tabular Data: Analysing VIME and introducing Mix Encoder
Kandidat-uppsats, Lunds universitet/Fysiska institutionenSammanfattning : We introduce Mix Encoder, a novel self-supervised learning framework for deep tabular data models based on Mixup [1]. Mix Encoder uses linear interpolations of samples with associated pretext tasks to form useful pre-trained representations. LÄS MER