Sökning: "call processing language"
Visar resultat 1 - 5 av 14 uppsatser innehållade orden call processing language.
1. Multiple-Emitter Super-resolution Imaging using the Alternating Descent Conditional Gradient Method
Kandidat-uppsats, Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation; Lunds universitet/Institutionen för astronomi och teoretisk fysik - Genomgår omorganisationSammanfattning : This thesis examines the state-of-the-art 2D super-resolution technique alternating descent conditional gradient (ADCG) method's ability to accurately localize fluorophores in diffraction-limited single molecule images (SMI) and analyze the impact of pre-processing and post-processing modules on ADCG's fluorophore localization. A synthetic dataset obtained from the 2013 Grand Challenge localization microscopy and a temporally linked dataset obtained from an unpublished set of Optical DNA mapping experiments performed by Jonathan Jeffet at the NanoBioPhotonix Lab at Tel-Aviv University were initially segmented to extract their noise parameters. LÄS MER
2. IMPLEMENTING NETCONF AND YANG ON CUSTOM EMBEDDED SYSTEMS
Uppsats för yrkesexamina på grundnivå, Högskolan i Halmstad/Akademin för informationsteknologiSammanfattning : Simple Network Management Protocol (SNMP) has been the traditional approach for configuring and monitoring network devices, but its limitations in security and automation have driven the exploration of alternative solutions. The Network Configuration Protocol (NETCONF) and Yet Another Next Generation (YANG) data modeling language significantly improve security and automation capabilities. LÄS MER
3. Topic Modeling for Customer Insights : A Comparative Analysis of LDA and BERTopic in Categorizing Customer Calls
Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistikSammanfattning : Customer calls serve as a valuable source of feedback for financial service providers, potentially containing a wealth of unexplored insights into customer questions and concerns. However, these call data are typically unstructured and challenging to analyze effectively. LÄS MER
4. Duplicate detection of multimodal and domain-specific trouble reports when having few samples : An evaluation of models using natural language processing, machine learning, and Siamese networks pre-trained on automatically labeled data
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Trouble and bug reports are essential in software maintenance and for identifying faults—a challenging and time-consuming task. In cases when the fault and reports are similar or identical to previous and already resolved ones, the effort can be reduced significantly making the prospect of automatically detecting duplicates very compelling. LÄS MER
5. Evaluation between Google's and Microsoft's automated speech recognition services regarding performance in Swedish
Kandidat-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : This thesis describes the comparison of two Automatic Speech Recognition (ASR) systems, used in the context of call center self-service systems, in Swedish. One of the ASR systems is provided by Google and the other is from Microsoft. LÄS MER