Sökning: "Vector Space Model"
Visar resultat 1 - 5 av 86 uppsatser innehållade orden Vector Space Model.
1. Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods
Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapSammanfattning : Public Bike-Sharing systems have been employed in many cities around the globe. Shared bikes are an efficient and convenient means of transportation in advanced societies. Nonetheless, station planning and local bike-sharing network effectiveness can be challenging. LÄS MER
2. Pulse-width voltage modulation in the Python-based open-source simulator Motulator : A Realization of SVPWM, Harmonic analyzer and Over-modulation on Two and Three-level Inverters, and a Solution for Unbalanced Neutral Point Voltage on Three-level Inverters
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Controlling the dynamic outputs of electrical machines has always been an essential topic in aerospace, automotive and other industries. Electrical machine control consists of several components, each of which can be controlled in various ways. Whereas the dynamic responses are mostly simulated using MATLAB/SIMULINK, Prof. LÄS MER
3. A lightweight deep learning architecture for text embedding : Comparison between the usage of Transformers and Mixers for textual embedding
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Text embedding is a widely used method for comparing pieces of text together by mapping them to a compact vector space. One such application is deduplication which consists in finding textual records that refer to the same underlying idea in order to merge them or delete one of them. LÄS MER
4. Domain Knowledge and Representation Learning for Centroid Initialization in Text Clustering with k-Means : An exploratory study
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Text clustering is a problem where texts are partitioned into homogeneous clusters, such as partitioning them based on their sentiment value. Two techniques to address the problem are representation learning, in particular language representation models, and clustering algorithms. LÄS MER
5. Data-driven Interpolation Methods Applied to Antenna System Responses : Implementation of and Benchmarking
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : With the advances in the telecommunications industry, there is a need to solve the in-band full-duplex (IBFD) problem for antenna systems. One premise for solving the IBFD problem is to have strong isolation between transmitter and receiver antennas in an antenna system. LÄS MER