Essays about: "ericsson learning"

Showing result 11 - 15 of 109 essays containing the words ericsson learning.

1. 11. MLpylint: Automating the Identification of Machine Learning-Specific Code Smells

   University essay from Blekinge Tekniska Högskola/Institutionen för programvaruteknik

   Author : Peter Hamfelt; [2023]
   Keywords : Code Smell; Machine Learning; Static Code Analysis; Software Quality; Technical Debt;

   Abstract : Background. Machine learning (ML) has rapidly grown in popularity, becoming a vital part of many industries. This swift expansion has brought about new challenges to technical debt, maintainability and the general software quality of ML systems. READ MORE

3. 12. Exploring Alarm Data for Improved Return Prediction in Radios : A Study on Imbalanced Data Classification

   University essay from Uppsala universitet/Matematiska institutionen

   Author : Sofia Färenmark; [2023]
   Keywords : Imbalanced data classification; LASSO; Boruta; SVM; RFC; neural network; decision tree; AUC; AUPRC;

   Abstract : The global tech company Ericsson has been tracking the return rate of their products for over 30 years, using it as a key performance indicator (KPI). These KPIs play a critical role in making sound business decisions, identifying areas for improvement, and planning. READ MORE

4. 13. Introducing Machine Learning in a Vectorized Digital Signal Processor

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Linnéa Ridderström; [2023]
   Keywords : Digital Signal Processor DSP ; Application-Specific Integrated Circuit ASIC ; Machine Learning; Deep Learning; Convolutional Neural Network CNN ; Very Long Instruction Word VLIM ; Single Instruction Multiple Data SIMD ; Digital Signalprocessor DSP ; Applikation-Specifik Integrerad Krets ASIC ; Maskininlärning; Djupinlärning; Konvolutionella Neurala Nätverk CNN ; Very Long Instruction Word VLIW ; Single Instruction Multiple Data SIMD ;

   Abstract : Machine learning is rapidly being integrated into all areas of society, however, that puts a lot of pressure on resource costraint hardware such as embedded systems. The company Ericsson is gradually integrating machine learning based on neural networks, so-called deep learning, into their radio products. READ MORE

5. 14. A Data-Driven Approach for Incident Handling in DevOps

   University essay from Blekinge Tekniska Högskola/Institutionen för programvaruteknik

   Author : Lakshmi Ashritha Annadata; [2023]
   Keywords : Incident Handling; DevOps; Machine Learning; Prioritization; Topic Modeling;

   Abstract : Background: Maintaining system reliability and customer satisfaction in a DevOps environment requires effective incident management. In the modern day, due to increasing system complexity, several incidents occur daily. Incident prioritization and resolution are essential to manage these incidents and lessen their impact on business continuity. READ MORE

6. 15. 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

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Viktor Karlstrand; [2022]
   Keywords : Duplicate detection; Bug reports; Trouble reports; Natural language processing; Information retrieval; Machine learning; Siamese neural network; Transformers; Automated data labeling; Shapley values; Dubblettdetektering; Felrapporter; Buggrapporter; Naturlig språkbehandling; Informationssökning; Maskininlärning; Siamesiska neurala nätverk; Transformatorer; Automatiserad datamärkning; Shapley-värden;

   Abstract : 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. READ MORE