University of Ilorin, Nigeria

@unilorin.edu.ng

Lecturer in the Department of Statistics
University of Ilorin, Ilorin, Nigeria

University of Ilorin, Nigeria


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https://researchid.co/garbamk

EDUCATION

Ph.D. Statistics

RESEARCH, TEACHING, or OTHER INTERESTS

Statistics and Probability, Economics and Econometrics, General Energy
30

Scopus Publications

219

Scholar Citations

8

Scholar h-index

7

Scholar i10-index

Scopus Publications

  • An adaptive neuro-fuzzy inference system for multinomial malware classification
    Amos Orenyi Bajeh, Mary Olayinka Olaoye, Fatima Enehezei Usman-Hamza, Ikeola Suhurat Olatinwo, Peter ogirima Sadiku, et al.
    Journal of the Nigerian Society of Physical Sciences, 2025
    Malware detection and classification are important requirements for information security because malware poses a great threat to computer users. As the growth of technology increases, malware is getting more sophisticated and thereby more difficult to detect. Machine learning techniques have been extensively used for malware detection and classification. However, most of them are binomial classifications that only detect the presence of malware but do not classify them into types. This study sets out to develop a multinomial malware classifier using an adaptive neuro-fuzzy inference system (ANFIS) and investigate the effectiveness of ANFIS in the classification. A first-order Sugeno ANFIS model was developed. It has five layers and uses two if-then rules. The ANFIS model was trained and tested with two prominent malware datasets from the Canada Institute of Cyber Security. The experimental results showed that the performance of the ANFIS model degrades as the size of the datasets increases, and the accuracy, precision, recall, and root mean square error is 94%, 0.88, 0.87, and 0.19 respectively.
  • Affective e-learning approaches, technology and implementation model: A systematic review
    Marion Olubunmi Adebiyi, Abayomi Aduragba Adebiyi, Deborah Olaniyan, Bajeh Amos Orenyi
    International Journal of Electrical and Computer Engineering, 2024
    A systematic literature study including articles from 2016 to 2022 was done to evaluate the various approaches, technologies, and implementation models involved in measuring student engagement during learning. The review’s objective was to compile and analyze all studies that investigated how instructors can gauge students’ mental states while teaching and assess the most effective teaching methods. Additionally, it aims to extract and assess expanded methodologies from chosen research publications to offer suggestions and answers to researchers and practitioners. Planning, carrying out the analysis, and publishing the results have all received significant attention in the research approach. The study’s findings indicate that more needs to be done to evaluate student participation objectively and follow their development for improved academic performance. Physiological approaches should be given more support among the alternatives. While deep learning implementation models and contactless technology should interest more researchers. And, the recommender system should be integrated into e-learning system. Other approaches, technologies, and methodology articles, on the other hand, lacked authenticity in conveying student feeling.
  • Comparative Analysis of Feature Selection Methods for Software Bug Classification
    Bajeh Amos Orenyi, Olowe Oluwambo Tolulope, Asani Emmanuel Tobi
    International Conference on Science Engineering and Business for Driving Sustainable Development Goals Seb4sdg 2024, 2024
    Software bug classification is a critical task in software engineering aimed at identifying defects early to improve software quality and reliability. Despite its importance, effectively classifying software defects remains a challenge, necessitating the use of advanced techniques such as feature selection. This research presents a comprehensive study on feature selection methods for software defect classification, to evaluate their effectiveness in enhancing classification accuracy. The study investigates the impact of feature selection methods (filter-based, wrapper-based, and embedding) on model performance using classification algorithms such Naïve Bayes, Support Vector Machines, K-Nearest Neighbour, and Random Forest. The studies are carried out using publicly accessible software defect datasets, and conventional evaluation measures such as accuracy, precision, recall, and F1-score are used to evaluate the effectiveness of each feature selection strategy. The findings of the study confirm the effectiveness of ensemble methods in bug severity classification, with Random Forest achieving notable accuracy rates for different datasets. Additionally, the study highlights the superiority of wrapper feature selection techniques over filter methods, demonstrating their ability to select informative features for defect severity classification. The findings of this work give useful information for practitioners in selecting and implementing feature selection approaches when developing defect classification models, ultimately contributing to the enhancement of software quality and reliability.
  • Strengthening Bioinformatics and Genomics Analysis Skills in Africa for Attainment of the Sustainable Development Goals: Report of the 2nd Conference of the Nigerian Bioinformatics and Genomics Network
    Itunuoluwa Isewon, Chisom Soremekun, Marion Adebiyi, Charles Adetunji, Adewale Joseph Ogunleye, et al.
    American Journal of Tropical Medicine and Hygiene, 2022
    The second conference of the Nigerian Bioinformatics and Genomics Network (NBGN21) was held from October 11 to October 13, 2021. The event was organized by the Nigerian Bioinformatics and Genomics Network. A 1-day genomic analysis workshop on genome-wide association study and polygenic risk score analysis was organized as part of the conference. It was organized primarily as a research capacity building initiative to empower Nigerian researchers to take a leading role in this cutting-edge field of genomic data science. The theme of the conference was “Leveraging Bioinformatics and Genomics for the attainments of the Sustainable Development Goals.” The conference used a hybrid approach—virtual and in-person. It served as a platform to bring together 235 registered participants mainly from Nigeria and virtually, from all over the world. NBGN21 had four keynote speakers and four leading Nigerian scientists received awards for their contributions to genomics and bioinformatics development in Nigeria. A total of 100 travel fellowships were awarded to delegates within Nigeria. A major topic of discussion was the application of bioinformatics and genomics in the achievement of the Sustainable Development Goals (SDG3—Good Health and Well-Being, SDG4—Quality Education, and SDG 15—Life on Land [Biodiversity]). In closing, most of the NBGN21 conference participants were interviewed and interestingly they agreed that bioinformatics and genomic analysis of African genomes are vital in identifying population-specific genetic variants that confer susceptibility to different diseases that are endemic in Africa. The knowledge of this can empower African healthcare systems and governments for timely intervention, thereby enhancing good health and well-being.
  • An Integrated IDS Using ICA-Based Feature Selection and SVM Classification Method
    Roseline Oluwaseun Ogundokun, Sanjay Misra, Amos O. Bajeh, Ufuoma Odomero Okoro, Ravin Ahuja
    Lecture Notes on Data Engineering and Communications Technologies, 2022
  • Empirical Analysis of Data Sampling-Based Ensemble Methods in Software Defect Prediction
    Abdullateef O. Balogun, Babajide J. Odejide, Amos O. Bajeh, Zubair O. Alanamu, Fatima E. Usman-Hamza, et al.
    Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2022
  • An Empirical Study on Data Sampling Methods in Addressing Class Imbalance Problem in Software Defect Prediction
    Babajide J. Odejide, Amos O. Bajeh, Abdullateef O. Balogun, Zubair O. Alanamu, Kayode S. Adewole, et al.
    Lecture Notes in Networks and Systems, 2022
  • Software defect prediction using wrapper feature selection based on dynamic re-reranking strategy
    Abdullateef Oluwagbemiga Balogun, Shuib Basri, Luiz Fernando Capretz, Saipunidzam Mahamad, Abdullahi Abubakar Imam, et al.
    Symmetry, 2021
    Finding defects early in a software system is a crucial task, as it creates adequate time for fixing such defects using available resources. Strategies such as symmetric testing have proven useful; however, its inability in differentiating incorrect implementations from correct ones is a drawback. Software defect prediction (SDP) is another feasible method that can be used for detecting defects early. Additionally, high dimensionality, a data quality problem, has a detrimental effect on the predictive capability of SDP models. Feature selection (FS) has been used as a feasible solution for solving the high dimensionality issue in SDP. According to current literature, the two basic forms of FS approaches are filter-based feature selection (FFS) and wrapper-based feature selection (WFS). Between the two, WFS approaches have been deemed to be superior. However, WFS methods have a high computational cost due to the unknown number of executions available for feature subset search, evaluation, and selection. This characteristic of WFS often leads to overfitting of classifier models due to its easy trapping in local maxima. The trapping of the WFS subset evaluator in local maxima can be overcome by using an effective search method in the evaluator process. Hence, this study proposes an enhanced WFS method that dynamically and iteratively selects features. The proposed enhanced WFS (EWFS) method is based on incrementally selecting features while considering previously selected features in its search space. The novelty of EWFS is based on the enhancement of the subset evaluation process of WFS methods by deploying a dynamic re-ranking strategy that iteratively selects germane features with a low subset evaluation cycle while not compromising the prediction performance of the ensuing model. For evaluation, EWFS was deployed with Decision Tree (DT) and Naïve Bayes classifiers on software defect datasets with varying granularities. The experimental findings revealed that EWFS outperformed existing metaheuristics and sequential search-based WFS approaches established in this work. Additionally, EWFS selected fewer features with less computational time as compared with existing metaheuristics and sequential search-based WFS methods.
  • Ensemble models for predicting warts treatment methods
    Journal of Engineering Science and Technology, 2021
  • Cascade Generalization Based Functional Tree for Website Phishing Detection
    Abdullateef O. Balogun, Kayode S. Adewole, Amos O. Bajeh, Rasheed G. Jimoh
    Communications in Computer and Information Science, 2021
  • Exploring the Constructive Alignment of Pedagogical Practices in Science and Engineering Education in Sub-Saharan African Universities: A Nigerian Case Study
    David Olubiyi Obada, Olayinka Adewumi, Chika Yinka-Banjo, Amos Bajeh, Razak Alli-Oke
    International Journal of Engineering Pedagogy, 2021
  • Heterogeneous Ensemble with Combined Dimensionality Reduction for Social Spam Detection
    Abdulfatai Ganiyu Oladepo, Amos Orenyi Bajeh, Abdullateef Oluwagbemiga Balogun, Hammed Adeleye Mojeed, Abdulsalam Abiodun Salman, et al.
    International Journal of Interactive Mobile Technologies, 2021
  • Optimized Decision Forest for Website Phishing Detection
    Abdullateef O. Balogun, Hammed A. Mojeed, Kayode S. Adewole, Abimbola G. Akintola, Shakirat A. Salihu, et al.
    Lecture Notes in Networks and Systems, 2021
  • Data Sampling-Based Feature Selection Framework for Software Defect Prediction
    Abdullateef O. Balogun, Fatimah B. Lafenwa-Balogun, Hammed A. Mojeed, Fatimah E. Usman-Hamza, Amos O. Bajeh, et al.
    Lecture Notes in Networks and Systems, 2021
  • Application of Internet of Thing and Cyber Physical System in Industry 4.0 Smart Manufacturing
    Oluwakemi Christiana Abikoye, Amos Orenyi Bajeh, Joseph Bamidele Awotunde, Ahmed Oloduowo Ameen, Hammed Adeleye Mojeed, et al.
    Advances in Science Technology and Innovation, 2021
  • Internet of Robotic Things: Its Domain, Methodologies, and Applications
    Amos Orenyi Bajeh, Hammed Adeleye Mojeed, Ahmed Oloduowo Ameen, Oluwakemi Christiana Abikoye, Shakirat Aderonke Salihu, et al.
    Advances in Science Technology and Innovation, 2021
  • Impact of feature selection methods on the predictive performance of software defect prediction models: An extensive empirical study
    Abdullateef O. Balogun, Shuib Basri, Saipunidzam Mahamad, Said J. Abdulkadir, Malek A. Almomani, et al.
    Symmetry, 2020
  • Object-oriented measures as testability indicators: An empirical study
    Journal of Engineering Science and Technology, 2020
  • Search-Based Wrapper Feature Selection Methods in Software Defect Prediction: An Empirical Analysis
    Abdullateef O. Balogun, Shuib Basri, Said A. Jadid, Saipunidzam Mahamad, Malek A. Al-momani, et al.
    Advances in Intelligent Systems and Computing, 2020
  • SMOTE-Based Homogeneous Ensemble Methods for Software Defect Prediction
    Abdullateef O. Balogun, Fatimah B. Lafenwa-Balogun, Hammed A. Mojeed, Victor E. Adeyemo, Oluwatobi N. Akande, et al.
    Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2020
  • An Approach for Journal Summarization Using Clustering Based Micro-Summary Generation
    Hammed A. Mojeed, Ummu Sanoh, Shakirat A. Salihu, Abdullateef O. Balogun, Amos O. Bajeh, et al.
    Advances in Intelligent Systems and Computing, 2020
  • Application of computational intelligence models in IoMT big data for heart disease diagnosis in personalized health care
    Amos Orenyi Bajeh, Oluwakemi Christiana Abikoye, Hammed Adeleye Mojeed, Shakirat Aderonke Salihu, Idowu Dauda Oladipo, et al.
    Intelligent Iot Systems in Personalized Health Care, 2020
  • Memetic approach for multi-objective overtime planning in software engineering projects
    Journal of Engineering Science and Technology, 2019
  • Software defect prediction: Analysis of class imbalance and performance stability
    Journal of Engineering Science and Technology, 2019
  • Software development practices and problems in Malaysian small and medium software enterprises: A pilot study
    Malek Ahmad Theeb Almomani, Shuib Basri, Ahmad Kamil B. Mahmood, Amos Orenyi Bajeh
    2015 5th International Conference on IT Convergence and Security Icitcs 2015 Proceedings, 2015
  • An empirical validation of coupling and cohesion metrics as testability indicators
    Amos Orenyi Bajeh, Shuib Basri, Low Tang Jung
    Lecture Notes in Electrical Engineering, 2015
  • A theoretical validation of the number of polymorphic methods as a complexity metric
    Amos Orenyi Bajeh, Shuib Basri, Low Tan Jung
    2014 International Conference on Computer and Information Sciences Iccoins 2014 A Conference of World Engineering Science and Technology Congress Estcon 2014 Proceedings, 2014
  • Software process improvement initiatives in small and medium firms: A systematic review
    Malek Ahmad Theeb Almomani, Shuib Basri, Saipunidzam Mahamad, Amos Orenyi Bajeh
    Proceedings 3rd International Conference on Advanced Computer Science Applications and Technologies Acsat 2014, 2014
  • Empirical validation of object-oriented inheritance hierarchy modifiability metrics
    Amos Orenyi Bajeh, Shuib Basri, Low Tan Jung, Malek Ahmad Almomani
    Conference Proceedings 6th International Conference on Information Technology and Multimedia at Uniten Cultivating Creativity and Enabling Technology Through the Internet of Things Icimu 2014, 2014
  • Object-oriented software maintainability measurement in the past decade
    Bajeh Amos Orenyi, Shuib Basri, Low Tan Jung
    Proceedings 2012 International Conference on Advanced Computer Science Applications and Technologies Acsat 2012, 2012

RECENT SCHOLAR PUBLICATIONS

  • On Instrumental Variable Regression Method for Estimating Econometric Model Perturbed with Endogenous Variable
    SB AKANNI, MK Garba, AA Osobase
    Sigma&Mu: Journal of Mathematics Education, Mathematics, Statistics and Data … , 2026
    2026
  • Operations Research Techniques for Cost Minimization in Transportation
    SB AKANNI, MK Garba, OO Abogunrin, RO Noah
    Sigma&Mu: Journal of Mathematics Education, Mathematics, Statistics and Data … , 2026
    2026
  • An Efficient Preservation Method for Sweet Orange (Citrus sinensis) Fruits in Nigeria
    MAATG Mohammed Kabir Garba, Waheed Babatunde Yahya
    Applied Fruit Science 68 (89), 1 - 10 , 2026
    2026
  • FACTORS INFLUENCING BENEFICIARIES ACCESS TO FADAMA NG-CARES PROGRAMME IN WESTERN ZONE OF BAUCHI STATE, NIGERIA
    V John, M Garba, AB Usman
    Nigerian Journal of Agriculture and Agricultural Technology 5 (4B), 56-63 , 2025
    2025
  • Survey on Postharvest Handlings of Cucumber (Cucumis sativus L.) Fruits in Ipata Market, Ilorin
    T Garubax, BT Sule, MK Garba
    BIMA JOURNAL OF SCIENCE AND TECHNOLOGY GOMBE 9 (3A), 18-28 , 2025
    2025
  • Modelling Dynamic Panel Data Using Hierarchical Bayesian Approach.
    OL Abiola, MK Garba, AD Adeshola, OS Abayomi
    International Journal of Science for Global Sustainability (IJSGS) 11 (1) , 2025
    2025
    Citations: 1
  • An Efficient Machine Learning Procedure for Selection of Core Predictive Variables in the Presence of Multicollinearity for Acute Heart Failure Detection: Methodological Study
    MK Garba, AO Sikiru, O Adebayo, WB Yahya
    Türkiye Klinikleri Biyoistatistik 17 (3), 113-126 , 2025
    2025
  • BAYESIAN NON-INFERIORITY TEST BETWEEN TWO BINOMIAL PROPORTIONS
    WB Yahya, CP Ezenweke, OR Olaniran, IA Adeniyi, K Jimoh, RB Afolayan, ...
    Reliability: Theory & Applications 19 (3 (79)), 689-703 , 2024
    2024
  • Investigation on Determinants and Choice of Contraceptive Usage among Nigeria Women of Reproductive Age
    AW Banjoko, WB Yahya, MK Garba, RB Afolayan, KA Dauda, ...
    Journal of Biostatistics and Epidemiology , 2023
    2023
    Citations: 1
  • The nexus between foreign aid and foreign direct investment in Nigeria: simultaneous equations approach
    MK Garba, SB Akanni, AW Banjoko, TC Oladele
    Malaysian Journal of Computing (MJoC) 8 (2), 1620-1638 , 2023
    2023
    Citations: 5
  • Modelling of Post-COVID-19 Food Production Index in Nigeria using Box-Jenkins Methodology
    MK Garba, SB Akanni, KY Kareem, AA Yusuf, SO Jabaru, JS Abolarin, ...
    2023
  • Empirical Investigations of Direction of Causality among Exchange Rates of Naira to Some Foreign Currencies
    TT Ojewale, MK Garba
    Asian Journal of Probability and Statistics 18 (1), 31-42 , 2022
    2022
  • Assessment of the Impacts of Oil Prices on Nigeria Economy using Cobb-Douglas Production Function
    GM Kabir, SA Omotayo
    Malaysian Journal of Computing 7 (1), 938-951 , 2022
    2022
    Citations: 4
  • Effects of Foreign Direct Investment on Economic Growth: Evidence from Nigeria and Rwanda
    RB Garba, MK, Sikiru, AO, Banjok, AW and Afolayan
    Kabale University Interdisciplinary Research Journal (KURJ) 1 (4), 67 - 78 , 2022
    2022
  • Modelling determinants of antenatal care services utilization in Nigeria
    AW Banjoko, MK Garba, RB Afolayan, NF Gatta
    Frontiers in Multidisciplinary Research Journal 1 (4), 4-13 , 2022
    2022
    Citations: 1
  • Modelling effects of some factors that contribute to cereals yields in Nigeria using Toda-Yamamoto Techniques
    SB Akanni, GM Kabir
    Sule Lamido University Journal of Science and Technology (SLUJST) , 2020
    2020
    Citations: 7
  • On Seemingly Unrelated Regression and Single Equation Estimators under Heteroscedastic Error and NonGaussian Responses
    RB Afolayan, AW Banjoko, MK Garba, WB Yahya
    FUOYE Journal of Engineering and Technology 5 (2) , 2020
    2020
    Citations: 7
  • On the use of Linear Programming Model Approach in Profit Optimization of a Product Mix Company
    MK Garba, AW Banjoko, WB Yahya, NF Gatta
    Islamic University Multidisciplinary Journal (IUMJ). 7(2) 7 (2), 299 – 305 , 2020
    2020
    Citations: 5
  • Econometric analysis of the effects of land size on cereals production in Nigeria
    SB Akanni, GM Kabir
    Islamic University Multidisciplinary Journal (IUMJ) , 2020
    2020
    Citations: 7
  • Robust Regression Methods for Solving Non-Spherical Problem in Linear Regression
    NF Gatta, WB Yahya, MK Garba
    Sretech Journal Publications , 2019
    2019

MOST CITED SCHOLAR PUBLICATIONS

  • Profit Maximization in a product mix company using linear programming
    WB Yahya, MK Garba, AE Ige, S. O. and Adeyosoye
    European Journal of Business and Management 4 (17), 126-131 , 2012
    2012
    Citations: 45
  • Investigations of certain estimators for modelling panel data under violations of some basic assumptions
    MK Garba, BA Oyejola, WB Yahya
    Mathematical Theory and Modeling 3 (10), 47-53 , 2013
    2013
    Citations: 27
  • Weighted support vector machine algorithm for efficient classification and prediction of binary response data.
    AW Banjoko, WB Yahya, MK Garba, KO Abdulazeez
    Journal of Physics: Conference Series (ICoAIMS 2019) 136, 1 - 7 , 2019
    2019
    Citations: 16
  • Efficient Support Vector Machine Classification of Diffuse Large B-Cell Lymphoma and Follicular Lymphoma mRNA Tissue Samples
    AW Banjoko, WB Yahya, MK Garba, OR Olaniran, KA Dauda, KO Olorede
    Annals Computer Science Series 13 (2), 69-79 , 2015
    2015
    Citations: 16
  • Compact Fluorescent Lamps and Electricity Consumption Trend in Residential Building in Ilorin, Nigeria
    BF Sule, KR Ajao, HA Ajimotokan, MK Garba
    International Journal of Energy Sector Management 5 (2), 162-168 , 2011
    2011
    Citations: 16
  • Improved Bayesian feature selection and classification methods using bootstrap prior techniques
    OR Olaniran, SF Olaniran, WB Yahya, AW Banjoko, MK Garba, LB Amusa, ...
    Annals. Computer Science Series 14 (2) , 2016
    2016
    Citations: 13
  • Empirical Comparison of the Kruskal Wallis Statistic and its Parametric Counterpart
    OA Samuel, E Gayawan, MK Garba
    Journal of Modern Mathematics and Statistics, Pakistan 3 (2), 38-42 , 2009
    2009
    Citations: 10
  • Multiclass Sequential Feature Selection and Classification Method for Gene Expression Data
    WB Yahya, GT Aremu, MK Garba
    Journal of Applied Science and Technology (JAST) 20 (1 & 2), 50-61 , 2015
    2015
    Citations: 9
  • Modelling effects of some factors that contribute to cereals yields in Nigeria using Toda-Yamamoto Techniques
    SB Akanni, GM Kabir
    Sule Lamido University Journal of Science and Technology (SLUJST) , 2020
    2020
    Citations: 7
  • On Seemingly Unrelated Regression and Single Equation Estimators under Heteroscedastic Error and NonGaussian Responses
    RB Afolayan, AW Banjoko, MK Garba, WB Yahya
    FUOYE Journal of Engineering and Technology 5 (2) , 2020
    2020
    Citations: 7
  • Econometric analysis of the effects of land size on cereals production in Nigeria
    SB Akanni, GM Kabir
    Islamic University Multidisciplinary Journal (IUMJ) , 2020
    2020
    Citations: 7
  • Multiclass response feature selection and cancer tumour classification with support vector machine
    AW Banjoko, WB Yahya, MK Garba
    Journal of Biostatistics and Epidemiology , 2019
    2019
    Citations: 7
  • The nexus between foreign aid and foreign direct investment in Nigeria: simultaneous equations approach
    MK Garba, SB Akanni, AW Banjoko, TC Oladele
    Malaysian Journal of Computing (MJoC) 8 (2), 1620-1638 , 2023
    2023
    Citations: 5
  • On the use of Linear Programming Model Approach in Profit Optimization of a Product Mix Company
    MK Garba, AW Banjoko, WB Yahya, NF Gatta
    Islamic University Multidisciplinary Journal (IUMJ). 7(2) 7 (2), 299 – 305 , 2020
    2020
    Citations: 5
  • Determinants of customers’ bank selection decision in North Eastern Nigeria (Evidence from Bauchi State)
    M Garba, L Garba, A Usman
    Nigerian Journal of Management Technology & Development 8 (1), 154-162 , 2017
    2017
    Citations: 5
  • Assessment of the Impacts of Oil Prices on Nigeria Economy using Cobb-Douglas Production Function
    GM Kabir, SA Omotayo
    Malaysian Journal of Computing 7 (1), 938-951 , 2022
    2022
    Citations: 4
  • Antimicrobial susceptibility and occurrence of resistance genes among Salmonella arizonae isolated from chicken meat samples in Sokoto Metropolis, Sokoto State, Nigeria
    MK Garba, OS Olonitola, SE Yakubu, IO Abdullahi
    UMYU Journal of Microbiology Research (UJMR) 2 (2), 70-76 , 2017
    2017
    Citations: 3
  • Environmental pollution potential of tannery sludge from challawa industrial area of Kano State, Nigeria
    M Garba, M Mohammed
    IOSR J Appl Chem (IOSR-JAC [Internet] 10 (7), 28-34 , 2017
    2017
    Citations: 2
  • Modeling structural relationships of exchange rates, of Naira to foreign currencies
    MK Garba, WB Yahya, HT Babaita, AW Bankooko, AQ Amobi
    Nigerian Statistical Society 1, 41-47 , 2017
    2017
    Citations: 2
  • Probabilistic Analysis of Peak Daily Rainfall for Prediction Purposes in Selected Areas of Northern Nigeria
    AW Salami, AS Aremu, AM Ayanshola, TS Abdulkadir, MK Garba
    Nigerian Journal of Technological Research (NJTR) 11 (1), 54-59 , 2016
    2016
    Citations: 2