Advanced search
Showing result 1 - 5 of 724 essays matching the above criteria.
-
1. Riparian plant biodiversity and community composition of ditches and straightened streams : identifying key environmental drivers in a boreal forest setting
University essay from SLU/Dept. of Forest Ecology and ManagementAbstract : Modified ecosystems are typically seen as degraded and having no ecological value. In many cases, the modification of the ecosystem was done more than 100 years ago and may have had time to recover and become a refugia for species that were once more common in the landscape. READ MORE
-
2. Hur kan dammar påverka den urbana biologiska mångfalden?
University essay from SLU/Dept. of Landscape Architecture, Planning and Management (from 130101)Abstract : Denna litteraturstudie sammanställer forskningsresultat från andra studier. Det finns många faktorer som påverkar urban biologisk mångfald, som exempelvis vattenföroreningar, övergödning, urban heat island effekten, förekomsten av invasiva arter, angränsande landskapstyp, val av skötsel och utformning av dammen. READ MORE
-
3. The Impact of Deep Neural Network Pruning on the Hyperparameter Performance Space: An Empirical Study
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : With the continued growth of deep learning models in terms of size and computational requirements, the need for efficient models for deployment on resource-constrained devices becomes crucial. Structured pruning has emerged as a proven method to speed up models and reduce computational requirements. READ MORE
-
4. The Cost of Convenience: An Exploration of the Privacy Aspects in Period-Tracking Applications : A mixed-method study of perceived privacy by users in period-tracking applications
University essay from Malmö universitet/Fakulteten för teknik och samhälle (TS)Abstract : The increasing demand for female-centred services and devices in the digital era has challenged traditional notions of privacy. This thesis explores how users perceive privacy issues in period- tracking applications provided by various developers. READ MORE
-
5. Combining Cell Painting, Gene Expression and Structure-Activity Data for Mechanism of Action Prediction
University essay from Uppsala universitet/Nationellt resurscentrum för biologi och bioteknikAbstract : The rapid progress in high-throughput omics methods and high-resolution morphological profiling, coupled with the significant advances in machine learning (ML) and deep learning (DL), has opened new avenues for tackling the notoriously difficult problem of predicting the Mechanism of Action (MoA) for a drug of clinical interest. Understanding a drug's MoA can enrich our knowledge of its biological activity, shed light on potential side effects, and serve as a predictor of clinical success. READ MORE