Umar Dauda
6 Papers
Umar Dauda is an academic researcher. The author has contributed to research in topics: Value-added tax & Indirect tax. The author has an hindex of 2, co-authored 2 publications.
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Papers
An Assessement of Compliance with IFRS Framework at First-Time Adoption by the Quoted Banks in Nigeria
Sani Saidu,Umar Dauda +1 more
TL;DR: In this article, the extent to which the Nigerian Banking Industry complied with these requirements as captured in IFRS 1: First Time Adoption of IFRS was assessed using ex-post facto and survey research designs, sourced data from structured questionnaire and recent audited financial reports of the sampled banks.
Tax Evasion and Governance Challeneges in the Nigerian Informal Sector
Sani Saidu,Umar Dauda +1 more
TL;DR: In this paper, the authors assessed the operation of the informal sector in Bauchi State of Nigeria, where tax evasion assumed to be a normal practice due to high level of informalities in the conduct of businesses within the sector and employed Spearman rank order correlation test to test the relationship between ethics of tax evasion and performance of government and the rho (r) value was fortified in assessing the extent of the relationship.
Short Circuit Analysis of Benin Sub-Region 132 kV Transmission Network for Distance Protection Scheme
Simon Ejededawe Igberaese,J. Tsado,Jonathan Gana Kolo,Umar Dauda +3 more
- 17 Apr 2022
TL;DR: In this paper , a short circuit analysis of the Benin sub-region 132 kV transmission network was carried out and the results from this study provided an improvement opportunity in the application of distance protection scheme as currently being experienced.
Household-Level Carbon Footprint Forecasting in Nigeria: A Machine Learning Approach with Prediction Error Risk Assessment for Net-Zero Emissions
Lanre Olatomiwa,Harrison Oyibo Idakwo,James Ambafi,Umar Dauda,Isiyaku Saleh,Kufre Esenowo Jack +5 more
- 20 Dec 2025
TL;DR: This study develops a machine learning framework for predicting household CO2 emissions in Nigeria, achieving high accuracy with XGBoost model, and integrates prediction-error risk assessment, offering actionable insights for policymakers and scalable carbon monitoring frameworks for developing regions.
A Review of Internet of Things-Based Visualisation Platforms for Tracking Household Carbon Footprints
Lanre Olatomiwa,James Garba Ambafi,Umar Dauda,Omowunmi Mary Longe,Kufre Esenowo Jack,Idowu Adetona Ayoade,Isah Ndakara Abubakar,Alabi Kamilu Sanusi +7 more
TL;DR: A systematic review of IoT-based visualisation platforms for household CFs, including their definitions, characteristics, decision-making processes, policy development, related services, benefits, challenges, and barriers to implementation is presented.