BABA Alhassan Yunusa

@unilorin.edu.ng

Senior Assistant Professor
Head
University of Ilorin/Department of Veterinary Medicine, Faculty of Veterinary Medicine.

BABA Alhassan Yunusa


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https://researchid.co/alhassan

RESEARCH, TEACHING, or OTHER INTERESTS

, Equine, Food Animals
30

Scopus Publications

389

Scholar Citations

9

Scholar h-index

9

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, Abdulkadir Bolakale Sakariyah
    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, Amos Orenyi Bajeh, Emmanuel Oluwatobi Asani, Babatunde Gbadamosi, Opeyemi Soremekun, Brenda Udosen, Christopher Kintu, Roseline Ogundokun, Micheal Olaolu Arowolo, Opeyemi Matiluko, Oyekanmi Nashiru, Ezekiel Adebiyi, Chinwe Ekenna, Segun Fatumo
    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, Hammid O. Adeleke, Modinat A. Mabayoje, Shakirat R. Yusuff
    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, Abimbola G. Akintola, Shakirat A. Salihu, Fatima E. Usman-Hamza, Hammed A. Mojeed
    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, Malek A. Almomani, Victor Elijah Adeyemo, Ammar K. Alazzawi, Amos Orenyi Bajeh, Ganesh Kumar
    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, Abdullateef Iyanda Bako
    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, Amos O. Bajeh, Rasheed G. Jimoh
    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, Victor E. Adeyemo, Kayode S. Adewole, Rasheed G. Jimoh
    Lecture Notes in Networks and Systems, 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, Muyideen Abdulraheem, Idowu Dauda Oladipo, Joseph Bamidele Awotunde
    Advances in Science Technology and Innovation, 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, Muyideen Abdulraheem, Idowu Dauda Oladipo, Shakirat Aderonke Salihu
    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, Victor E. Adeyemo, Qasem Al-Tashi, Hammed A. Mojeed, Abdullahi A. Imam, Amos O. Bajeh
    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, Amos O. Bajeh, Ammar K. Alazzawi
    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, Abimbola G. Akintola, Amos O. Bajeh, Fatimah E. Usman-Hamza
    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, Abimbola G. Akintola, Modinat A. Mabayoje, Fatimah E. Usman-Hamzah
    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, Muyideen Abdulraheem, Joseph Bamidele Awotunde, Arun Kumar Sangaiah, Kayode S. Adewole
    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

  • COMPARATIVE EVALUATION OF THE ADAPTIVE RESPONSES OF YANKASA AND SUDAN FAT-TAILED SHEEP IN THE TROPICAL HOT-DRY SEASON
    B HABIBU, LS YAQUB, MJ EMMANUEL, AY BABA, MU KAWU
    NIGERIAN JOURNAL OF ANIMAL PRODUCTION, 862-865 , 2024
    2024
  • Molecular detection and geospatial distribution of Brucella infections in horses in Kano Metropolis, Kano State, Nigeria
    AY Baba, BY Kaltungo, SNA Saidu, AKB Sackey, EC Okolocha, ...
    Ceylon Journal of Science 52 (4) , 2023
    2023
  • The epidemiology of Coxiella infections in domestic animals and humans in‎ Nigeria: a review
    AY Baba, SNA Saidu, BY Kaltungo, S Ibrahim, UH Buhari
    Sahel Journal of Veterinary Sciences 20 (1), 1-12 , 2023
    2023
    Citations: 2
  • Molecular Detection of Anaplasma phagocytophilum in Ixodid Ticks Infesting White Fulani Cattle in Zaria and its Environs, Kaduna State, Nigeria
    AY Rabiu, M., Natala, A. J., Okubanjo, O.O., David, R.,Ola-Fadunsin, S. D ...
    Sahel Journal of Veterinary Sciences 20 (2), 1-7 , 2023
    2023
  • Knowledge, attitude and practices of small ruminant butchers on tuberculosis in selected areas of Katsina State, Nigeria
    AY Dahiru, M.H., Saidu, S.N.A., Tekdek, L.B., Buhari, H.U., Kaltungo, B.Y ...
    Sokoto Journal of Veterinary Sciences 21 (1), 21-31 , 2023
    2023
    Citations: 1
  • Serological survey of Brucella infection in horses in Kano metropolis, Kano State, Nigeria
    N 4. Baba, A.Y., Saidu S.N.A., Sackey A. K. B., Okolocha, E. C., Kaltungo, B ...
    Sokoto Journal of Veterinary Sciences 21 (1), 1-10 , 2023
    2023
    Citations: 3
  • Clinico-serological studies of Brucella infection of horses in Kano Metropolis, Kano State Nigeria
    HU Baba, A.Y., Kaltungo, B.Y., Saidu S.N.A., Sackey A. K. B., Okolocha, E. C ...
    Journal of Sustainable Veterinary & Allied Sciences 4 (1), 1-9 , 2023
    2023
  • Detection of Marek's Disease Virus Serotypes 1, 2 and 3 in Poultry Flocks using PCR Technique in South-Western-Nigeria.
    AA Okanlawon, SA Ameen, AY Baba, AF Tinubu, HO Abah, A Osereime, ...
    Journal of Sustainable Veterinary & Allied Sciences 2 (2) , 2022
    2022
  • Influence of grooms' knowledge and practices on horse diseases in Kano metropolis, Kano State, Nigeria.
    AY Baba, BY Kaltungo, MS Yusuf, HUD Buhari, SNA Saidu, S AKB, ...
    Journal of Sustainable Veterinary & Allied Sciences 2 (2) , 2022
    2022
    Citations: 3
  • Prevalence of Brucella antibodies in horses in Kaduna State, Nigeria
    M Baba, A.Y., Kaltungo, B.Y., Yusuf, M.S., Buhari, H.U., Saidu S.N.A ...
    Journal of Sustainable Veterinary & Allied Sciences 3 (1), 31-38 , 2022
    2022
    Citations: 3
  • Role of slaughter facilities management in zoonoses and safety of meat produced for human consumption in Nigeria: a review
    S Ibrahim, BY Kaltungo, HB Uwale, AY Baba, SNA Saidu, FU Mohammed, ...
    Bulletin of the National Research Centre 45 (1), 137 , 2021
    2021
    Citations: 32
  • Overview of tuberculosis in Animals in Nigeria
    B HU, B A Y, S SNA, M FU, D MH
    Journal of Applied Veterinary Sciences 6 (3), 7-19 , 2021
    2021
    Citations: 2
  • Epidemiology of tuberculosis in animals and in-contact humans in Nigeria: a review.
    HU Buhari, BY Kaltungo, S Ibrahim, AY Baba, MH Dahiru
    2021
    Citations: 1
  • Knowledge, attitude and practices of horse handlers and grooms towards brucellosis in horses in Kaduna state, Nigeria
    AY Baba, SA Saidu, BY Kaltungo, US Salisu, M Babashani, HU Buhari
    Nigerian Veterinary Journal 42 (1), 83-96 , 2021
    2021
    Citations: 6
  • Adaptive performance of hairy thin-tailed (Yankasa) and wooly fat-tailed (Ossimi) sheep in tropical hot-dry season.
    MUK B. Habibu, M.J. Emmanuel, A.A. Yahaya, A.Y. Baba, L.S. Yaqub, H.U ...
    Small Ruminant Research 205 (106541), 1-5 , 2021
    2021
    Citations: 7
  • Helminth infections of great concern among cattle in Nigeria: Insight to its prevalence, species diversity, patterns of infections and risk factors
    SD Ola-Fadunsin, IA Ganiyu, M Rabiu, K Hussain, IM Sanda, AY Baba, ...
    Veterinary World 13 (2), 338 , 2020
    2020
    Citations: 41
  • Management of Open-Cervix Pyometra in a Four-Year-Old German Shepherd-Cross Bitch
    RA Mustapha, AY Baba, M Lawal, M Abdurrahman, EG Emmanuel, ...
    Nigerian Veterinary Journal 41 (1), 18-22 , 2020
    2020
    Citations: 2
  • Reproductive pathology of experimentally induced lead poisoning in red Sokoto buck: protective effects of iger nut (Cyperus esculentus).
    SA Adam M., Esievo K.A.N., Bisalla M., Ayo J.O., Aliyu A.I., Akanbi O.B ...
    Assuit Veterinary Medical Journal 66 (165) , 2020
    2020
  • In vitro assessment of the potency of some Newcastle disease vaccine brands in Ibadan, Nigeria
    AA Okanlawon, A. A., Ameen, S. A., Kadir, R. A., Ambali, H. M., Baba, Y. A ...
    African Journal of Clinical and Experimental Microbiology. 21 (2) , 2020
    2020
  • Geo-spatial distribution of Brucella melitensis infection in selected local government areas of Katsina and Sokoto States, Nigeria
    BY Kaltungo, SNA Saidu, CA Kudi, M Isma’Il, RJ Jacob, U Salisu, ...
    Nigerian Veterinary Journal 40 (2), 95-103 , 2019
    2019
    Citations: 7

MOST CITED SCHOLAR PUBLICATIONS

  • Methane-fueled syntrophy through extracellular electron transfer: uncovering the genomic traits conserved within diverse bacterial partners of anaerobic methanotrophic archaea
    CT Skennerton, K Chourey, R Iyer, RL Hettich, GW Tyson, VJ Orphan
    MBio 8 (4), 10.1128/mbio. 00530-17 , 2017
    2017.0
    Citations: 115
  • Helminth infections of great concern among cattle in Nigeria: Insight to its prevalence, species diversity, patterns of infections and risk factors
    SD Ola-Fadunsin, IA Ganiyu, M Rabiu, K Hussain, IM Sanda, AY Baba, ...
    Veterinary World 13 (2), 338 , 2020
    2020.0
    Citations: 41
  • Brucellosis: A Neglected Zoonosis
    IWMAYB B. Y. Kaltungo, S. N. A. Saidu
    British Microbiology Research Journal 4 (12), 1551-1574 , 2014
    2014.0
    Citations: 38
  • Role of slaughter facilities management in zoonoses and safety of meat produced for human consumption in Nigeria: a review
    S Ibrahim, BY Kaltungo, HB Uwale, AY Baba, SNA Saidu, FU Mohammed, ...
    Bulletin of the National Research Centre 45 (1), 137 , 2021
    2021.0
    Citations: 32
  • The use of vertical electrical sounding (VES) for subsurface geophysical investigation around Bomo Area, Kaduna State, Nigeria
    BS Jatau, NO Patrick, A Baba, SI Fadele
    IOSR Journal of Engineering 3 (1), 10-15 , 2013
    2013.0
    Citations: 31
  • Risk Factors and Knowledge of Brucella Infection in Camels, Attitudes and Practices of Camel Handlers in Katsina State, Nigeria
    US Salisu, CA Kudi, JOO Bale, M Babashani, BY Kaltungo, AY Baba, ...
    Nigerian Veterinary Journal 39 (3), 227-239 , 2018
    2018.0
    Citations: 22
  • Seroprevalence of Brucella antibodies in camels in Katsina State, Nigeria
    AYB U.S Salisu, C.A Kudi, J.O.O. Bale,M.Babashani, B.Y Kaltungo, S.N.A Saidu ...
    Tropical Animal Health and Production 49 (5), 1041-1046 , 2017
    2017.0
    Citations: 22
  • Anthelmintic Potency of Carica papaya seeds against Gastro-intestinal Helminths in Red Sokoto goat
    SA Ameen, OM Azeez, YA Baba, LO Raji, A Basiru, KT Biobaku, ...
    Ceylon Journal of Science 47 (2) , 2018
    2018.0
    Citations: 21
  • Prevalence of Brucella antibodies in Horses and Knowledge, Attitude and practices of Grooms in Three Local Government Areas of Kaduna State, Nigeria
    AY Baba
    Zaria, Nigeria: Ahmadu Bello University , 2016
    2016.0
    Citations: 14
  • Seroprevalence of Brucellosis In Horses In Ilorin Metropolis, Kwara State, Nigeria
    OEO Baba A.Y., Ameen S.A. , Ambali H.M. , Adah A.D. , Abdulmajeed I. , Furo ...
    Journal of Veterinary and Biomedical Sciences 2 (1), 210-2017 , 2019
    2019.0
    Citations: 8
  • Adaptive performance of hairy thin-tailed (Yankasa) and wooly fat-tailed (Ossimi) sheep in tropical hot-dry season.
    MUK B. Habibu, M.J. Emmanuel, A.A. Yahaya, A.Y. Baba, L.S. Yaqub, H.U ...
    Small Ruminant Research 205 (106541), 1-5 , 2021
    2021.0
    Citations: 7
  • Geo-spatial distribution of Brucella melitensis infection in selected local government areas of Katsina and Sokoto States, Nigeria
    BY Kaltungo, SNA Saidu, CA Kudi, M Isma’Il, RJ Jacob, U Salisu, ...
    Nigerian Veterinary Journal 40 (2), 95-103 , 2019
    2019.0
    Citations: 7
  • & Balogun, RB (2020). Helminth infections of great concern among cattle in Nigeria: Insight into its prevalence, species diversity, patterns of infection and risk factors …
    SD Ola-Fadunsin, IA Ganiyu, M Rabiu, K Hussain, IM Sanda, AY Baba
    Citations: 7
  • Knowledge, attitude and practices of horse handlers and grooms towards brucellosis in horses in Kaduna state, Nigeria
    AY Baba, SA Saidu, BY Kaltungo, US Salisu, M Babashani, HU Buhari
    Nigerian Veterinary Journal 42 (1), 83-96 , 2021
    2021.0
    Citations: 6
  • Serological survey of Brucella infection in horses in Kano metropolis, Kano State, Nigeria
    N 4. Baba, A.Y., Saidu S.N.A., Sackey A. K. B., Okolocha, E. C., Kaltungo, B ...
    Sokoto Journal of Veterinary Sciences 21 (1), 1-10 , 2023
    2023.0
    Citations: 3
  • Influence of grooms' knowledge and practices on horse diseases in Kano metropolis, Kano State, Nigeria.
    AY Baba, BY Kaltungo, MS Yusuf, HUD Buhari, SNA Saidu, S AKB, ...
    Journal of Sustainable Veterinary & Allied Sciences 2 (2) , 2022
    2022.0
    Citations: 3
  • Prevalence of Brucella antibodies in horses in Kaduna State, Nigeria
    M Baba, A.Y., Kaltungo, B.Y., Yusuf, M.S., Buhari, H.U., Saidu S.N.A ...
    Journal of Sustainable Veterinary & Allied Sciences 3 (1), 31-38 , 2022
    2022.0
    Citations: 3
  • The epidemiology of Coxiella infections in domestic animals and humans in‎ Nigeria: a review
    AY Baba, SNA Saidu, BY Kaltungo, S Ibrahim, UH Buhari
    Sahel Journal of Veterinary Sciences 20 (1), 1-12 , 2023
    2023.0
    Citations: 2
  • Overview of tuberculosis in Animals in Nigeria
    B HU, B A Y, S SNA, M FU, D MH
    Journal of Applied Veterinary Sciences 6 (3), 7-19 , 2021
    2021.0
    Citations: 2
  • Management of Open-Cervix Pyometra in a Four-Year-Old German Shepherd-Cross Bitch
    RA Mustapha, AY Baba, M Lawal, M Abdurrahman, EG Emmanuel, ...
    Nigerian Veterinary Journal 41 (1), 18-22 , 2020
    2020.0
    Citations: 2