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Waweru Mwangi
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2020 – today
- 2025
- [j14]Mohamed Hussein Abdi, George Onyango Okeyo, Ronald Waweru Mwangi:
Improved collaborative filtering recommender system based on hybrid similarity measures. Int. Arab J. Inf. Technol. 22(1): 99-115 (2025) - 2024
- [j13]Gebremichael Kibret Sheferaw
, Waweru Mwangi, Michael W. Kimwele, Adane Letta Mamuye
, Ayodeji Olalekan Salau
:
Interactive Multimedia Association-Adaptive Differential Pulse Code Modulation Codec With Gated Recurrent Unit Predictor. IEEE Access 12: 165395-165406 (2024) - [j12]Gebremichael Kibret Sheferaw
, Waweru Mwangi, Michael W. Kimwele, Adane Letta Mamuye:
Gated recurrent unit predictor model-based adaptive differential pulse code modulation speech decoder. EURASIP J. Audio Speech Music. Process. 2024(1): 6 (2024) - [j11]Dominic Mutuku Mutua
, Waweru Mwangi:
Integration of Mathematical Internet Memes a Multimedia Resource Into Kenya Secondary Mathematics Education. IEEE Trans. Educ. 67(6): 829-835 (2024) - [j10]Emmanuel Ahishakiye, Waweru Mwangi, Petronilla Muriithi, Fredrick Kanobe, Godliver Owomugisha, Danison Taremwa, Lenard Nkalubo:
Deep Gaussian convolutional neural network model in classification of cassava diseases using spectral data. J. Supercomput. 80(1): 463-485 (2024) - 2023
- [j9]Isaac Kega Mwangi
, Lawrence Nderu, Ronald Waweru Mwangi, Dennis Gitari Njagi
:
Hybrid interpretable model using roughset theory and association rule mining to detect interaction terms in a generalized linear model. Expert Syst. Appl. 234: 121092 (2023) - [j8]Gebremichael Kibret Sheferaw
, Waweru Mwangi, Michael W. Kimwele, Adane Letta Mamuye:
Waveform based speech coding using nonlinear predictive techniques: a systematic review. Int. J. Speech Technol. 26(4): 1031-1059 (2023) - [c9]Meshack Kiplangat Korir, Waweru Mwangi, Michael W. Kimwele:
Artificial Intelligence-Based Chatbotc Model Providing Expert Advice to Potato Farmers in Kenya. AFRICON 2023: 1-6 - [c8]Constance Mukina Ngila, Waweru Mwangi, Michael W. Kimwele:
An Ngram-Based Approach to Determine Trends and Patterns in the Social Networks. AFRICON 2023: 1-3 - [c7]Mercy K. Michira
, Richard M. Rimiru
, Ronald Waweru Mwangi
:
Improved Multilayer Perceptron Neural Networks Weights and Biases Based on The Grasshopper optimization Algorithm to Predict Student Performance on Ambient Learning. ICMLSC 2023: 61-68 - [c6]Gichuki Wambui Martha, Ronald Waweru Mwangi
, Supavadee Aramvith, Richard Rimiru:
Comparing Deep Learning Object detection Methods for Real Time Cow Detection. TENCON 2023: 1187-1192 - 2022
- [c5]Emmanuel Ahishakiye
, Waweru Mwangi, Petronilla Muriithi, Ruth Wario, Fredrick Kanobe, Taremwa Danison:
An Ensemble Model Based on Learning Vector Quantization Algorithms for Early Detection of Cassava Diseases Using Spectral Data. IDIA 2022: 320-328 - 2020
- [j7]Ritter A. Guimapi
, Samira A. Mohamed, Lisa Biber-Freudenberger
, Waweru Mwangi, Sunday Ekesi, Christian Borgemeister
, Henri E. Z. Tonnang
:
Decision Support System for Fitting and Mapping Nonlinear Functions with Application to Insect Pest Management in the Biological Control Context. Algorithms 13(4): 104 (2020) - [c4]Lennah Etyang, Waweru Mwangi, Lawrence Nderu:
Parameter Settings Optimization in MapReduce Big Data processing using the MOPSO Algorithm. ACSE 2020
2010 – 2019
- 2019
- [j6]Apollinaire Woundjiagué
, Martin Le Doux Mbele Bidima
, Ronald Waweru Mwangi
:
An Estimation of a Hybrid Log-Poisson Regression Using a Quadratic Optimization Program for Optimal Loss Reserving in Insurance. Adv. Fuzzy Syst. 2019: 1393946:1-1393946:14 (2019) - [j5]Apollinaire Woundjiagué
, Martin Le Doux Mbele Bidima, Ronald Waweru Mwangi:
A Fuzzy Least-Squares Estimation of a Hybrid Log-Poisson Regression and Its Goodness of Fit for Optimal Loss Reserves in Insurance. Int. J. Fuzzy Syst. 21(3): 930-944 (2019) - [j4]Nelson Ochieng
, Waweru Mwangi, Ismail Ateya
:
Optimizing Computer Worm Detection Using Ensembles. Secur. Commun. Networks 2019: 4656480:1-4656480:10 (2019) - [j3]Geoffrey O. Barini
, Livingstone Ngoo, Ronald Waweru Mwangi:
Application of a fuzzy unit hypercube in cardiovascular risk classification. Soft Comput. 23(23): 12521-12527 (2019) - [c3]Dalton Ndirangu, Waweru Mwangi, Lawrence Nderu:
An Ensemble Filter Feature Selection Method and Outlier Detection Method for Multiclass Classification. ICSCA 2019: 373-379 - 2018
- [j2]Mohamed Hussein Abdi, George Onyango Okeyo
, Ronald Waweru Mwangi:
Matrix Factorization Techniques for Context-Aware Collaborative Filtering Recommender Systems: A Survey. Comput. Inf. Sci. 11(2): 1-10 (2018) - [c2]Dalton Ndirangu, Waweru Mwangi, Lawrence Nderu:
An ensemble outlier detection method for multiclass classification problem in data mining. DSIT 2018: 38-42 - [c1]Dalton Ndirangu, Waweru Mwangi, Lawrence Nderu:
Improving multiclass classification and outlier detection method through ensemble technique. ICCIP 2018: 180-185
2000 – 2009
- 2003
- [j1]Ronald Waweru Mwangi, Hideyuki Imai, Yoshiharu Sato:
Multidimensional Global Optimization Using Interval Slopes. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 86-A(11): 2836-2843 (2003)
Coauthor Index

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last updated on 2025-03-04 22:30 CET by the dblp team
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