Sökning: "resursallokering innebär"
Visar resultat 1 - 5 av 10 uppsatser innehållade orden resursallokering innebär.
1. XAI-assisted Radio Resource Management: Feature selection and SHAP enhancement
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : With the fast development of radio technologies, wireless systems have become more convoluted. This complexity, accompanied by an increase of the number of connections, is translated into a need for more parameters to analyse and decisions to take at each instant. LÄS MER
2. En fasad av neutralitet? - En neutralitetsstudie av fåmansföretagens effekt på svensk beskattning
Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Juridiska institutionen; Lunds universitet/Juridiska fakultetenSammanfattning : To understand the effect of tax law on the Swedish society, continuous investigation and evaluation of regulations is required. With this in mind, this thesis investigates the effect of close company taxation on society from a neutrality perspective. LÄS MER
3. The European Taxonomy Regulation and the Corporate Sustainability Due Diligence Directive: A Human Rights Perspective
Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Juridiska institutionen; Lunds universitet/Juridiska fakultetenSammanfattning : The EU has over the last few years set up the objective to become climate neutral by the year 2050. To achieve this objective, the European Commission has recognised the need for a massive transition investment into sustainable economic activities. LÄS MER
4. Strategiska förändringsprocesser i vården : En studie om digitalisering och e-hälsas betydelse för äldreomsorgen
Magister-uppsats, Södertörns högskola/FöretagsekonomiSammanfattning : We are getting older and the health care needs to be developed to keep up with the demographical alterations. The proportion of elderly in Sweden above 80 years of age is expected to increase with 50 percent by 2028 and similar developments are also seen in Europe. LÄS MER
5. Analysis and Comparison of Distributed Training Techniques for Deep Neural Networks in a Dynamic Environment
Uppsats för yrkesexamina på avancerad nivå, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Deep learning models' prediction accuracy tends to improve with the size of the model. The implications being that the amount of computational power needed to train models is continuously increasing. Distributed deep learning training tries to address this issue by spreading the computational load onto several devices. LÄS MER