Sökning: "50 50 2020"

Visar resultat 1 - 5 av 783 uppsatser innehållade orden 50 50 2020.

1. 1. RENOVATION USING PREFABRICATED FAÇADE ELEMENTS

   Master-uppsats, Lunds universitet/Institutionen för arkitektur och byggd miljö; Lunds universitet/Avdelningen för Energi och byggnadsdesign

   Författare :Aleksandra Milkova; Mohamed Soliman; [2024]
   Nyckelord :Keywords: Energy use; Reduce energy; EU; IVL; LKF; TES façade; Multi-active façade; Alingsås façade; Million Programme; Moisture risk analysis; Attachment; Thermal performance; WUFI; AUTOCAD; HEAT2; Technology and Engineering;

   Sammanfattning : The building sector uses about 40% of the total global energy use. Sweden aims to reach its new goal to reduce the energy use in their residential sector as well as commercial sector by 20%, which should be reached by year 2020 and 50% by year 2050. LÄS MER

3. 2. Shifting focus from yields to food supply : an evaluation of the ‘number of people fed per hectare’ indicator at farm and national level

   Master-uppsats, SLU/Department of Molecular Sciences

   Författare :Ida Ekqvist; [2024]
   Nyckelord :Land use efficiency; Sustainability indicators; Agricultural productivity; Food production;

   Sammanfattning : The challenge of feeding a growing global population while reducing the pressure on climate and ecosystems has gained much attention in research over the last decades. A crucial yet often overlooked aspect in research addressing this complex challenge is the efficiency of food production in meeting nutritional needs within the constraints of global cropland resources. LÄS MER

4. 3. Image-classification for Brain Tumor using Pre-trained Convolutional Neural Network : Bildklassificering för hjärntumör medhjälp av förtränat konvolutionell tneuralt nätverk

   M1-uppsats, KTH/Hälsoinformatik och logistik

   Författare :Ahmad Osman; Bushra Alsabbagh; [2023]
   Nyckelord :Brain tumor; Deep learning; Convolutional Neural Network CNN ; diagnosis; Image classification; pre-trained models; dataset; economic impact.; Cancer; Hjärntumör; Artificiell intelligens AI ; djupinlärning; konvolutionellt neuralt nätverk CNN ; Diagnostik; Bildklassificering; förtränade modeller; dataset.;

   Sammanfattning : Brain tumor is a disease characterized by uncontrolled growth of abnormal cells inthe brain. The brain is responsible for regulating the functions of all other organs,hence, any atypical growth of cells in the brain can have severe implications for itsfunctions. The number of global mortality in 2020 led by cancerous brains was estimatedat 251,329. LÄS MER

5. 4. Image-classification for Brain Tumor using Pre-trained Convolutional Neural Network

   Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Bushra Alsabbagh; [2023]
   Nyckelord :Brain tumor; Deep learning; Convolutional Neural Network CNN ; diagnosis; Image classification; pre-trained models; dataset; economic impact.; Cancer; Hjärntumör; Artificiell intelligens AI ; djupinlärning; konvolutionellt neuralt nätverk CNN ; Diagnostik; Bildklassificering; förtränade modeller; dataset.;

   Sammanfattning : Brain tumor is a disease characterized by uncontrolled growth of abnormal cells in the brain. The brain is responsible for regulating the functions of all other organs, hence, any atypical growth of cells in the brain can have severe implications for its functions. LÄS MER

7. 5. Vindkraft i relation till andra intressen om mark : Elbehov i Norrbottens län

   Kandidat-uppsats, Umeå universitet/Institutionen för geografi

   Författare :Henrik Näsholm; [2023]
   Nyckelord :Electricity shortage; Norrbotten län; conflicting interests; human interests and economic interests.;

   Sammanfattning : The electricity demand in Norrbotten County is expected to increase from 8 TWh in 2019 to 107 TWh in 2050. A contributing role to the large electricity demand in Norrbotten County is that LKAB will make large investments within the company. LKAB's electricity needs will increase from 2 TWh in 2020 to 50 TWh in 2040. LÄS MER