Essays about: "machine safety"

Showing result 1 - 5 of 231 essays containing the words machine safety.

1. 1. Data analysis for predictive maintenance and potential challenges associated with the technology integration of steel industry machines.

   University essay from Högskolan i Gävle/Elektronik

   Author : Pradip Nath; [2024]
   Keywords : Data Science; Data processing; Industrial Manufacturing; System Identification; Predictive maintenance; Conditional monitoring; Statistical Analysis; Signal processing; Hydraulic System; IoT; Sustainable Maintenance; Data vetenskap; Databehandling; Industriell tillverkning; System identifiering; Prediktivt underhåll; Tillståndsövervakning; Statistisk analys; Signal behandling;

   Abstract : The recharge is the focus of data analysis of the different situations with the integration of the system and development of the two-stage 2/2 proportional cartridge valve for the steel industry machine. Using the statistical analysis technique to visualize the valve signal data behavior identify the accuracy of the machine data and apply the statistical feature extracting model using classification and clustering algorithms of real-time data analysis for the manufacturing. READ MORE

3. 2. Machine learning for molecular property prediction and drug safety

   University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

   Author : Kinga Jenei; [2023-10-23]
   Keywords : Molecular property prediction; Acid dissociation constant; pKa; Machine learning; Graph Neural Networks; Molecular descriptors; Drug Discovery;

   Abstract : Utilizing machine learning methods for the prediction of acid dissociation (pKa ) values of compounds holds great significance, as pKa is an important parameter, optimized frequently in drug discovery. Accurate prediction of pKa values could potentially provide valuable insights on other molecular properties and thereby support compound design. READ MORE

4. 3. Challenges in Specifying Safety-Critical Systems with AI-Components

   University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

   Author : Iswarya Malleswaran; Shruthi Dinakaran; [2023-09-26]
   Keywords : Software engineering; Requirement engineering; Specification; Safety; Computer Science; Engineering; Machine learning; Deep learning; Runtime monitor; Data Selection; Data Collection;

   Abstract : Safety is an important feature in automotive industry. Safety critical system such as Advanced Driver Assistance System (ADAS) and Autonomous Driving (AD) follows certain processes and procedures in order to perform the desired function safely. READ MORE

5. 4. Audio Anomaly Detection in Cars

   University essay from Göteborgs universitet/Institutionen för matematiska vetenskaper

   Author : Asma Hussein; [2023-09-11]
   Keywords : Audio Anomaly detection; Outlier detection; Machine learning; Mel Frequency; Chroma;

   Abstract : Audio anomaly detection in the context of car driving is a crucial task for ensuring vehicle safety and identifying potential faults. This paper aims to investigate and compare different methods for unsupervised audio anomaly detection using a data set consisting of recorded audio data from fault injections and normal "no fault" driving. READ MORE

6. 5. Utilizing Transformers with Domain-Specific Pretraining and Active Learning to Enable Mining of Product Labels

   University essay from Uppsala universitet/Avdelningen för beräkningsvetenskap

   Author : Erik Norén; [2023]
   Keywords : Machine Learning; Natural Language Processing; NLP; BERT; Active Learning; AL; Pharmacovigilance; UMC; Uppsala Monitoring Centre; Structured Product Label; SPL; Transformers; Domain-Specific Pretraining; NER; Named Entity Recognition; Adverse Drug Reaction; ADR;

   Abstract : Structured Product Labels (SPLs), the package inserts that accompany drugs governed by the Food and Drugs Administration (FDA), hold information about Adverse Drug Reactions (ADRs) that exists associated with drugs post-market. This information is valuable for actors working in the field of pharmacovigilance aiming to improve the safety of drugs. READ MORE