Sökning: "SVM"

Visar resultat 11 - 15 av 371 uppsatser innehållade ordet SVM.

1. 11. Comparision of Machine Learning Algorithms on Identifying Autism Spectrum Disorder

   Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Naga Sai Gayathri Aravapalli; Manoj Kumar Palegar; [2023]
   Nyckelord :Autism Spectrum Disorder ASD ; Classification; Data pre-processing; Feature selection; Machine learning algorithms; Random Forest Classifier; Support Vector Classifier.;

   Sammanfattning : Background: Autism Spectrum Disorder (ASD) is a complex neurodevelopmen-tal disorder that affects social communication, behavior, and cognitive development.Patients with autism have a variety of difficulties, such as sensory impairments, at-tention issues, learning disabilities, mental health issues like anxiety and depression,as well as motor and learning issues. LÄS MER

3. 12. Sentimental Analysis of CyberbullyingTweets with SVM Technique

   Kandidat-uppsats,

   Författare :Hrushikesh Thanikonda; Kavya Sree Koneti; [2023]
   Nyckelord :Cyberbullying tweets; Dataset; Data preprocessing; Machine Learning; Supervised Learning; Support Vector Machine; Validation.;

   Sammanfattning : Background: Cyberbullying involves the use of digital technologies to harass, humiliate, or threaten individuals or groups. This form of bullying can occur on various platforms such as social media, messaging apps, gaming platforms, and mobile phones. With the outbreak of covid-19, there was a drastic increase in utilization of social media. LÄS MER

4. 13. Predicting Customer Churn and Customer Lifetime Value (CLV) using Machine Learning

   Master-uppsats, Lunds universitet/Matematisk statistik

   Författare :Magnus Gerde; [2023]
   Nyckelord :Churn; CLV; SVM; Logistic Regression; Linear Regression; Random Forest Model; Mathematics and Statistics;

   Sammanfattning : In an evermore competitive environment for companies and business, predictive customer behaviour models can give companies a competitive edge over its competitors. Two such important predictive behaviour models are customer churn models and customer lifetime value (CLV) models. LÄS MER

5. 14. Fault Detection in PV System using Machine Learning Technique

   Master-uppsats, Högskolan Dalarna/Mikrodataanalys

   Författare :Adhyapadi Apoorva Bhat; Jomin Koothenparambil Joy; [2023]
   Nyckelord :Machine learning; Fault Detection; Cluster; Regression model; PV System; Prediction; Solar Power; Renewable Energy;

   Sammanfattning : With the steady and rapid reliance on solar power as a viable alternative to traditional fuel-based energy, maintenance of solar panels is becoming an unavoidable issue for both producers and consumers. Machine learning techniques are useful in detecting solar panel faults and their life span. LÄS MER

7. 15. Comparative Analysis of Machine Learning Algorithms for Biometric Iris Recognition Systems

   Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Vishnu Kiran Dabbara; Neeraj Bala; [2023]
   Nyckelord :Computing Methodologies; Machine Learning; Neural Networks; Feature Extraction; Biometrics;

   Sammanfattning : Background: Biometric identification plays a crucial role in various industries such as retail, and banking. Among the different biometric traits, iris patterns have become a reliable means of identification due to their unique features. In our thesis, we focus on evaluating and comparing different machine learning algorithms for irisrecognition. LÄS MER