A novel MapReduce-based deep convolutional neural network algorithm. - Xiangmin Liu; Jian Hu; Deborah Simon Mwakapesa; Yaser Ahangari Nanehkaran; Yi-Min Mao; Rui-Peng Zhang; Zhigang Chen 001 (J. Intell. Fuzzy Syst., 2021)

DBWGIE-MR: A density-based clustering algorithm by using the weighted grid and information entropy based on MapReduce. - Xin Yu; Feng Zeng; Deborah Simon Mwakapesa; Yaser Ahangari Nanehkaran; Yi-Min Mao; Kai-Bin Xu; Zhi-Gang Chen 001 (J. Intell. Fuzzy Syst., 2021)

PFIMD: a parallel MapReduce-based algorithm for frequent itemset mining. - Yi-Min Mao; Junhao Geng; Deborah Simon Mwakapesa; Yaser Ahangari Nanehkaran; Chi Zhang; Xiaoheng Deng; Zhigang Chen 001 (Multim. Syst., 2021)

The Influence of Electronic Word of Mouth (eWOM) Communications on Citizens' Adoption of Mobile Government Services. - Isaac Kofi Mensah; Deborah Simon Mwakapesa (Int. J. Electron. Gov. Res., 2022)

Factors Driving the Purchase of Mobile Phone Top-Ups Services on Social Commerce Based on a Modified UTAUT Theory. - Yijun Liu; Isaac Kofi Mensah; Ziyang Fang; Deborah Simon Mwakapesa (Int. J. Inf. Syst. Serv. Sect., 2022)

The Impact of Context Awareness and Ubiquity on Mobile Government Service Adoption. - Isaac Kofi Mensah; Deborah Simon Mwakapesa (Mob. Inf. Syst., 2022)

FP-DCNN: a parallel optimization algorithm for deep convolutional neural network. - Ye Le; Yaser Ahangari Nanehkaran; Deborah Simon Mwakapesa; Ruipeng Zhang; Jianbing Yi; Yimin Mao (J. Supercomput., 2022)

A MapReduce-based K-means clustering algorithm. - Yimin Mao; Dejin Gan; Deborah Simon Mwakapesa; Yaser Ahangari Nanehkaran; Tao Tao; Xueyu Huang (J. Supercomput., 2022)

Building facade structure extraction method based on three-dimensional laser point cloud by considering semantic information. - Xiaoyu Hu; Yongzhi Wang 002; Tao Zhou; Deborah Simon Mwakapesa (Ann. GIS, 2024)

Investigating the Behavioral Adoption Intention of Mobile Government Services From the Value-Based Adoption Model Perspective. - Isaac Kofi Mensah; Deborah Simon Mwakapesa (IEEE Access, 2025)