Sökning: "network performance"
Visar resultat 31 - 35 av 2958 uppsatser innehållade orden network performance.
31. 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 logistikSammanfattning : 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
32. Image-classification for Brain Tumor using Pre-trained Convolutional Neural Network
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)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
33. Techno-economic analysis and simulation of low temperature district heating networks
Master-uppsats, Lunds universitet/Avdelningen för Energi och byggnadsdesign; Lunds universitet/Institutionen för arkitektur och byggd miljöSammanfattning : The continuous increase in global energy consumption has led to a greater focus on the energy required for heating buildings. This thesis presents a techno-economic model for analysing low-temperature district heating networks coupled with a geothermal heat source. LÄS MER
34. Modulating Depth Map Features to Estimate 3D Human Pose via Multi-Task Variational Autoencoders
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Human pose estimation (HPE) constitutes a fundamental problem within the domain of computer vision, finding applications in diverse fields like motion analysis and human-computer interaction. This paper introduces innovative methodologies aimed at enhancing the accuracy and robustness of 3D joint estimation. LÄS MER
35. Evaluation and Optimization of LTE-V2X Mode 4 under Aperiodic Messages of Variable Size
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : Vehicular networks connect vehicles for improved road safety and efficiency with the assistance of wireless information exchange. Vehicular networks are based on the frequent broadcast of awareness messages referred to as CAM (Cooperative Awareness Messages) or BSM (Basic Safety Message) in the ETSI and SAE standards, respectively. LÄS MER