Application of Supervised Machine Learning Based on Gaussian Process Regression for Extrapolative Cell Availability Evaluation in Cellular Communication Systems

Application of Supervised Machine Learning Based on Gaussian Process Regression for Extrapolative Cell Availability Evaluation in Cellular Communication Systems

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:ICTA (3. : 2020 : Online) Information and communication technology and applications
1. Verfasser: Divine, Ojuh O. (VerfasserIn)
Weitere Verfasser: Joseph, Isabona (VerfasserIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2021
Schlagworte:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Titel Jahr Verfasser
Analysis and Classification of Biomedical Data Using Machine Learning Techniques 2021 Panda, Sujata
Emotion Recognition of Speech in Hindi Using Dimensionality Reduction and Machine Learning Techniques 2021 Agrawal, Akshat
A Gaussian Mixture Model with Firm Expectation-Maximization Algorithm for Effective Signal Power Coverage Estimation 2021 Joseph, Isabona
Hausa Intelligence Chatbot System 2021 Haruna, Usman
Outlier Detection in Multivariate Time Series Data Using a Fusion of K-Medoid, Standardized Euclidean Distance and Z-Score. 2021 Chikodili, Nwodo Benita
Optimizing the Classification of Network Intrusion Detection Using Ensembles of Decision Trees Algorithm 2021 Mebawondu, Olamatanmi J.
Perception of Social Media Privacy Among Computer Science Students 2021 Omotosho, Adebayo
Mobile Application Software Usability Evaluation: Issues, Methods and Future Research Directions 2021 Attah, Blessing Iganya
Efficient Approaches to Agile Cost Estimation in Software Industries: A Project-Based Case Study 2021 Butt, Shariq Aziz
Multi-class Model MOV-OVR for Automatic Evaluation of Tremor Disorders in Huntington’s Disease 2021 Maskeliunas, Rytis
Improving the Prediction Accuracy of Academic Performance of the Freshman Using Wonderlic Personnel Test and Rey-Osterrieth Complex Figure 2021 Rakhmanov, Ochilbek
Comparative Analyses of Machine Learning Paradigms for Operators’ Voice Call Quality of Service 2021 Mebawondu, Jacob O.
DeepFacematch: A Convolutional Neural Network Model for Contactless Attendance on e-SIWES Portal 2021 Adetiba, Emmanuel
An Empirical Study to Investigate Data Sampling Techniques for Improving Code-Smell Prediction Using Imbalanced Data 2021 Gupta, Himanshu
Validation of Student Psychological Player Types for Game-Based Learning in University Math Lectures Learning in University Math Lectures 2021 Sidekerskienè, Tatjana
An Improved Hybridization in the Diagnosis of Diabetes Mellitus Using Selected Computational Intelligence 2021 Oladipo, Dauda
A Statistical Linguistic Terms Interrelationship Approach to Query Expansion Based on Terms Selection Value 2021 Yusuf, Nuhu
Identification of Bacterial Leaf Blight and Powdery Mildew Diseases Based on a Combination of Histogram of Oriented Gradient and Local Binary Pattern Features I O 2021 Mohammed, Zakari Hassan
Feature Weighting and Classification Modeling for Network Intrusion Detection Using Machine Learning Algorithms 2021 Mebawondu, Olamatanmi J.
Formulation and Optimization of Overcurrent Relay Coordination in Distribution Networks Using Metaheuristic Algorithms 2021 Salawudeen, Ahmed Tijani
Alle Artikel auflisten