Sökning: "binary encoding"

Visar resultat 1 - 5 av 17 uppsatser innehållade orden binary encoding.

1. 1. Comparing Quantum Annealing and Simulated Annealing when Solving the Graph Coloring Problem

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

   Författare :Nora Odelius; Isak Reinholdsson; [2023]
   Nyckelord :Quantum Computing; Quantum Annealing; Simulated Annealing; Graph Coloring Problem; Kvantberäkningar; Quantum Annealing; Simulated Annealing; Graffärgningsproblemet;

   Sammanfattning : Quantum annealing (QA) is an optimization process in quantum computing similar to the probabilistic metaheuristic simulated annealing (SA). The QA process involves encoding an optimization problem into an energy landscape, which it then traverses in search for the point of minimal energy representing the global optimal state. LÄS MER

3. 2. Comparison of lossy and lossless compression algorithms for time series data in the Internet of Vehicles

   Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

   Författare :Joseph Hughes; [2023]
   Nyckelord :Data compression; Lossy compression; Lossless compression; Time series; Internet of Vehicles;

   Sammanfattning : As automotive development advances, connectivity features are continually added to vehicles that, in conjunction, form an Internet of Vehicles. For numerous reasons, it is vital for vehicle manufacturers to collect telemetry from their fleets. LÄS MER

4. 3. Content Based Video Encoding Based on Spatial and TemporalInformation

   Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Theofanis Papakonstantinou; [2023]
   Nyckelord :;

   Sammanfattning : A significant amount of video content is produced today that needs to be stored, distributed, andstreamed globally in a cost-effective way. This relies on video compression, a process performedby encoding software that remove spatial redundancy, the similarities within a frame, andtemporal redundancy, the similarities between temporarily adjacent frames. LÄS MER

5. 4. Attention based Knowledge Tracing in a language learning setting

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

   Författare :Sebastiaan Vergunst; [2022]
   Nyckelord :Knowledge Tracing; Exercise Recommendation; Personalised Learning; Recurrent Neural Network; Attention; Self-Attention; Exercise Embedding; Kunskapsspårning; Övningsrekommendation; Personligt Anpassad Inlärning; Rekurrenta Neurala Nätverk; Uppmärksamhet; Självuppmärksamhet; Övningsembedding;

   Sammanfattning : Knowledge Tracing aims to predict future performance of users of learning platforms based on historical data, by modeling their knowledge state. In this task, the target is a binary variable representing the correctness of the exercise, where an exercise is a word uttered by the user. LÄS MER

7. 5. Polar Codes for Biometric Identification Systems

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

   Författare :Yicheng Bao; [2022]
   Nyckelord :Biometrics; Polar codes; Identification systems; Convolutional neural networks; Autoencoder; Privacy preservation; Biometri; Polära koder; Identifieringssystem; Konvolutionella neurala nätverk; Autoencoder; Sekretessskydd;

   Sammanfattning : Biometrics are widely used in identification systems, such as face, fingerprint, iris, etc. Polar code is the only code that can be strictly proved to achieve channel capacity, and it has been proved to be optimal for channel and source coding. LÄS MER