Essays about: "training need and learning analysis"

Showing result 11 - 15 of 78 essays containing the words training need and learning analysis.

  1. 11. Finding the QRS Complex in a Sampled ECG Signal Using AI Methods

    University essay from KTH/Fysik

    Author : Jeanette Marie Victoria Skeppland Hole; [2023]
    Keywords : ECG; ECG-analysis; QRS detector; Artificial Intelligence; Machine Learning; Deep neural networks; Long short-term memory; Convolutional neural network; Multilayer perceptron; EKG; EKG-analys; QRS detektor; Artificiell intelligens; Maskininlärning; Djupa neurala nätverk; Long short-term memory; Convolutional neural network; Multilayer perceptron;

    Abstract : This study aimed to explore the application of artificial intelligence (AI) and machine learning (ML) techniques in implementing a QRS detector forambulatory electrocardiography (ECG) monitoring devices. Three ML models, namely long short-term memory (LSTM), convolutional neural network (CNN), and multilayer perceptron (MLP), were compared and evaluated using the MIT-BIH arrhythmia database (MITDB) and the MIT-BIH noise stress test database (NSTDB). READ MORE

  2. 12. Explainable AI for Multi-Agent Control Problem

    University essay from Mälardalens universitet/Akademin för innovation, design och teknik

    Author : Hanna Prokopova; [2023]
    Keywords : ;

    Abstract : This report presents research on the application of policy explanation techniques in the context of coordinated reinforcement learning (CRL) for mobile network optimization. The goal was to improve the interpretability and comprehensibility of decision-making processes in multi-agent environments, with a particular focus on the Remote Antenna Tilt (RET) problem. READ MORE

  3. 13. Auto-scaling Prediction using MachineLearning Algorithms : Analysing Performance and Feature Correlation

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Syed Saif Ahmed; Harshini Devi Arepalli; [2023]
    Keywords : Cloud Computing; Predictive Auto-Scaling; Machine Learning; Data Correlation;

    Abstract : Despite Covid-19’s drawbacks, it has recently contributed to highlighting the significance of cloud computing. The great majority of enterprises and organisations have shifted to a hybrid mode that enables users or workers to access their work environment from any location. READ MORE

  4. 14. Unsupervised Detection of Interictal Epileptiform Discharges in Routine Scalp EEG : Machine Learning Assisted Epilepsy Diagnosis

    University essay from Uppsala universitet/Avdelningen Vi3

    Author : Shuai Shao; [2023]
    Keywords : EEG; electroencephalography; IED; interictal epileptiform discharges; spike detection; epilepsy; unsupervised; Fourier transform; STFT; short-time Fourier transform; CWT; continuous wavelet transform; DWT; discrete wavelet transform; ML; machine learning; ANN; artificial neural network; CNN; convolutional neural network; autoencoder; HMM; hidden Markov model; ECS; Euclidean distance of cumulative spectrum;

    Abstract : Epilepsy affects more than 50 million people and is one of the most prevalent neurological disorders and has a high impact on the quality of life of those suffering from it. However, 70% of epilepsy patients can live seizure free with proper diagnosis and treatment. Patients are evaluated using scalp EEG recordings which is cheap and non-invasive. READ MORE

  5. 15. Challenges, needs, and connection points in EFL teachers’ and students’ perspectives of formative assessment

    University essay from Malmö universitet/Fakulteten för lärande och samhälle (LS)

    Author : Melissa Linde Svantesson; Sebastian Ticak; [2023]
    Keywords : Formative assessment; formative feedback; ESL; EFL; Teacher challenges; student needs; secondary school; research overview; formativ bedömning; bedömning för lärande; formativ feedback; högstadiet;

    Abstract : Formative assessment is an educational approach that challenges the traditional summative ways of teaching. Although formative assessment has been found to stimulate learning development, it also involves difficulties for teachers to implement. READ MORE