Sökning: "Stage 1"

Visar resultat 21 - 25 av 819 uppsatser innehållade orden Stage 1.

1. 21. Integrating web data miningand machine learningalgorithms to predict progression free survival and overall survival in multiple myeloma patients

   Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Yijie Zhou; [2023]
   Nyckelord :;

   Sammanfattning : Multiple myeloma patients have highly variable progression free survival and overall survivalranging from a few weeks to more than 5 years. Stratification of these patients can help toidentify high risk patients i-e patients with short-term progression free survival and overallsurvival. LÄS MER

3. 22. Is two stage GAC better than one stage GAC for removing PFAS at a DWTP? : Investigation of PFAS removal from drinking water using two stage granular activated carbon (GAC) filter

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Institutionen för geovetenskaper

   Författare :Oliver Ekesiöö; [2023]
   Nyckelord :GAC; PFAS; drinking water treatment; two stage GAC;

   Sammanfattning : The removal of 34 per- and polyfluoroalkyl substances (PFAS) were compared in a 1 stagegranular activated carbon (GAC) filtration to a 2 stage GAC filtration in a pilot study at adrinking water treatment plant (DWTP). The PFASs that were present in the water wereperfluorooctanoic acid (PFOA), perfluorooctane sulfonic acid (PFOS), perfluoropentanoic acid(PFPeA), perfluorohexanoic acid (PFHxA), perfluoroheptanoic acid (PFHpA), perfluorobutanesulfonic acid (PFBS), perfluoropentane sulfonic acid (PFPeS) and perfluorohexane sulfonic acid(PFHxS). LÄS MER

4. 23. ARIA-E vid behandling av Alzheimers sjukdom med monoklonala antikroppar

   Kandidat-uppsats, Linnéuniversitetet/Institutionen för kemi och biomedicin (KOB)

   Författare :Anna Hall; [2023]
   Nyckelord :Alzheimers sjukdom; aducanumab; lecanemab; gantanerumab; donanemab; ARIA-E; Apolipoprotein E4 ApoE4 ; cerebral amyloid angiopathy CAA ; screening; amyloid beta; monoklonala antikroppar;

   Sammanfattning : Introduction: Alzheimer's disease is a neurodegenerative disease that initially manifests itself primarily as impaired short-term memory and impaired language ability. The course of the disease is mainly due to an atrophy in the brain that can be attributed to the protein amyloid B and tau. LÄS MER

5. 24. Digital Front End Algorithms for Sub-Band Full Duplex

   Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

   Författare :Midhat Rizvi; Khaled Al-Khateeb; [2023]
   Nyckelord :Adjacent Channel Leakage Ratio; Bit Error Rate; Clipping and Filtering; Crest Factor Reduction; Digital front end; Digital Pre-Distortion Error Vector Magnitude; Frequency Division Duplex; Power Amplifier; Peak to Average Power Ratio; Peak Cancellation Crest Factor Reduction; Sub Band Full Duplex; Self-Interference Cancellation; Signal-to-Interference Noise Ratio; Signal-to-Noise Ratio; Turbo Clipping; Time Division Duplex; Technology and Engineering;

   Sammanfattning : Sub-band full duplex is a new communication scheme technology, where a single frequency band is partitioned into sub-bands for downlink (DL) and up-link(UL) transmissions, and both can take place simultaneously. The idea behind the sub-band full duplex development is to improve the throughput, and coverage and reduce the latency of the UL communication by allowing the UL reception during the DL transmission. LÄS MER

7. 25. Plant yield prediction in indoor farming using machine learning

   Magister-uppsats, Högskolan i Skövde/Institutionen för informationsteknologi

   Författare :Anjali Ashok; Mary Adesoba; [2023]
   Nyckelord :Yield prediction; Machine Learning; Hyperparameter tweaking; Support Vector Regression; Long Short-Term Memory; Artificial Neural Network;

   Sammanfattning : Agricultural industry has started to rely more on data driven approaches to improve productivity and utilize their resources effectively. This thesis project was carried out in collaboration with Ljusgårda AB, it explores plant yield prediction using machine learning models and hyperparameter tweaking. LÄS MER