Mensah, P. K., Ayidzoe, M. A., Opoku, A. A., Adu, K., Weyori, B. A., Nti, I. K., & Nimbe, P. (2022). Uncertainty Estimation Using Variational Mixture of Gaussians Capsule Network for Health Image Classification. Computational Intelligence and Neuroscience, 2022, 1–15. https://doi.org/10.1155/2022/4984490
Nti, I. K. & Owusu-Boadu, B. (2022). A hybrid boosting ensemble model for predicting maternal mortality and sustaining reproductive. Smart Health, 26,100325. https://doi.org/10.1016/j.smhl.2022.100325
Nti, I. K., Narko-Boateng, O., Adekoya, A., & Somanathan, A. R. (2022). Stacknet Based Decision Fusion Classifier for Network Intrusion Detection. The International Arab Journal of Information Technology, 19(3A), 478–490. https://doi.org/10.34028/iajit/19/3A/8
Nti, I. K., Adekoya, A. F., Nyarko Boateng, O., & Ramasami, P. (2022). Empirical assessment of COVID-19 infections and information diffusion: a data science approach. International Journal of Medical Engineering and Informatics, 1(1), 1. https://doi.org/10.1504/IJMEI.2022.10044968
Nti, I. K., Nyarko-Boateng, O., Adekoya, A. F., & Arjun, R. (2021). Network Intrusion Detection with StackNet: A phi coefficient Based Weak Learner Selection Approach. 2021, 22nd International Arab Conference on Information Technology (ACIT), 1–11. https://doi.org/10.1109/ACIT53391.2021.9677338
Nti, I. K., Nyarko-Boateng, O., Boateng, S., Bawah, F. U., Agbedanu, P. R., Awarayi, N. S., Nimbe, P., Adekoya, A. F., Weyori, B. A., & Akoto-Adjepong, V. (2021). Enhancing Flood Prediction using Ensemble and Deep Learning Techniques. 2021: 22nd International Arab Conference on Information Technology (ACIT), 1–9. https://doi.org/10.1109/ACIT53391.2021.9677084
Nti, I. K., Nyarko‐Boateng, O., & Aning, J. (2021). Performance of Machine Learning Algorithms with Different K Values in K-fold Cross-Validation. International Journal of Information Technology and Computer Science, vol. 6, pp. 61–71. https://doi.org/10.5815/ijitcs.2021.06.05
Adekoya, A. F., Nti, I. K., & Weyori, B. A. (2021). Long Short-Term Memory Network for Predicting Exchange Rate of the Ghanaian Cedi. FinTech, 1(1), 25–43. https://doi.org/10.3390/fintech1010002
Ayawli, B. B. K., Appiah, A. Y., Nti, I. K., Kyeremeh, F., & Ayawli, E. I. (2021). Path planning for mobile robots using Morphological Dilation Voronoi Diagram Roadmap algorithm. Scientific African, 12, e00745. https://doi.org/10.1016/j.sciaf.2021.e00745
Nyarko-Boateng, O., Adekoya, A. F., Weyori, B. A., Ening, J., & Nti, I. K. (2021). Policy Compliance Standards for Underground Fiber Cable Deployment and Post-Deployment Protection. Indian Journal of Science and Technology, 14(25), 2088–2094. https://doi.org/10.17485/ijst/v14i25.518
Nti, I. K., Nyarko-Boateng, O., Adekoya, F. A., & Weyori, B. A. (2021). An empirical assessment of different kernel functions on the performance of support vector machines. Bulletin of Electrical Engineering and Informatics, 10(6). https://doi.org/10.11591/eei.v10i6.3046
Nti, I. K., Teimeh, M., Adekoya, A. F., & Nyarko-boateng, O. (2020). Forecasting electricity consumption of residential users based on lifestyle data using artificial neural networks. ICTACT Journal on Soft Computing, 10(03), 2107–2116. https://doi.org/10.21917/ijsc.2020.0300
Nyarko-Boateng, O., Nti, I. K., Adekoya, A. F., Weyori, B., Asubam, & Appiah, S. (2020). Conceptual Framework for Efficient 802.11 A/B/G/N Wireless Networks Infrastructure to Improve Campus Internet Connectivity. International Journal of Engineering Technologies and Management Research, 7(11), 1–8. https://doi.org/10.29121/ijetmr.v7.i11.2020.802
Nti, I. K., Teimeh, M., Nyarko-Boateng, O., & Adekoya, A. F. (2020). Electricity load forecasting: a systematic review. Journal of Electrical Systems and Information Technology, 7(13), 1–19. https://doi.org/10.1186/s43067-020-00021-8
Nti, I. K., Appiah, A. Y., & Nyarko‐Boateng, O. (2020). Assessment and prediction of earthing resistance in domestic installation. Engineering Reports, 2(1). https://doi.org/10.1002/eng2.12090
Nti, I. K., Samuel, A., Michael, A., Asafo-Adjei, S., Agyemang, M., Samuel, A., & Michael, A. (2019). Predicting Monthly Electricity Demand Using Soft-Computing Technique. International Research Journal of Engineering and Technology (IRJET), 06(06), 1967–1973. https://www.irjet.net/archives/V6/i6/IRJET-V6I6428.pdf
Nti, I. K., Adekoya, A. F., & Weyori, B. A. (2019). Random Forest Based Feature Selection of Macroeconomic Variables for Stock Market Prediction. American Journal of Applied Sciences, 16(7), 200–212. https://doi.org/10.3844/ajassp.2019.200.212
Nti, I. K., Jonas, Y. S., Williams, A., Isaac, B. A., & Elvis, A. (2019). An Automatic Electrical Load Monitoring , Control and Alert System. International Journal of Advanced Research and Publications, 3(7), 6–10.
Akyeramfo-Sam, S., Addo Philip, A., Yeboah, D., Nartey, N. C., & Kofi Nti, I. (2019). A Web-Based Skin Disease Diagnosis Using Convolutional Neural Networks. International Journal of Information Technology and Computer Science, 11(11), 54–60. https://doi.org/10.5815/ijitcs.2019.11.06
Appiah, V., Asante, M., Nti, I. K., & Nyarko-Boateng, O. (2018). Survey of Websites and Web Application Security Threats Using Vulnerability Assessment. Journal of Computer Science, 15(10), 1341–1354. https://doi.org/10.3844/jcssp.2019.1341.1354
Gyamfi, E., Nti, I. K., & Aning, J. (2017). Using LSB Steganography Technique and 256 bits Key Length AES Algorithm for High Secured Information Hiding. International Journal of Advanced Research in Computer Science and Software Engineering, 7(5), 674–681.
Boateng, O. N.-, Asante, M., & Nti, I. K. (2017). Implementation of Advanced Encryption Standard Algorithm with Key Length of 256 Bits for Preventing Data Loss in an Organization. International Journal of Science and Engineering Applications, 6(3), 88–94. https://doi.org/10.7753/IJSEA0603.1004
Nti, I. K., Eric, G., & Samuel, Y. (2017). Detection of Plant Leaf Disease Employing Image Processing and Gaussian Smoothing Approach. International Journal of Computer Applications, 162(2), 20–25. https://doi.org/10.5120/ijca2017913260
Akyeramfo-Sam, S., & Nti, I. K. (2017). State of Affairs in ICTs Usage within the Hospitality Industry (Guest House & Hotel) Operations: A Case of Brong Ahafo Region Ghana. International Journal of Science and Engineering Applications, 6(5), 143–149. https://doi.org/10.7753/IJSEA0605.1002
Nti, I. K., Gyamfi, E., & Osei, M. A. (2017). Effective Cryptographic Technique for Securing Cloud Storage Systems. International Journal of Applied Information Systems, 12(4), 19–25.
Appiah, V., Nti, I. K., & Nyarko-Boateng, O. (2017). Investigating Websites and Web Application Vulnerabilities: Webmaster’s Perspective. International Journal of Applied Information Systems, 12(3), 10–15. https://doi.org/10.5120/ijais2017451673
Twum, F., Nti, K., & Asante, M. (2016). Improving Security Levels In Automatic Teller Machines (ATM) Using Multifactor Authentication. International Journal of Science and Engineering Applications, 5(3), 126–134. https://doi.org/10.7753/IJSEA0503.1003
Nti, I. K., Akyeramfo-Sam, S., Bediako-Kyeremeh, B., & Agyemang, S. (2021). Prediction of social media effects on students’ academic performance using Machine Learning Algorithms (MLAs). Journal of Computers in Education. https://doi.org/10.1007/s40692-021-00201-z
Owusu-Boadu, B., Nti, I. K., Nyarko-Boateng, O., Aning, J., & Boafo, V. (2021). Academic Performance Modelling with Machine Learning Based on Cognitive and Non-Cognitive Features. Applied Computer Systems, 26(2), 122–131. https://doi.org/10.2478/acss-2021-0015
Nti, I. K., Adekoya, A. F., & Weyori, B. A. (2020). Efficient Stock-Market Prediction Using Ensemble Support Vector Machine. Open Computer Science, 10(1), 153–163. https://doi.org/10.1515/comp-2020-0199
Nti, I. K., Quarcoo, J. A., Aning, J., & Fosu, G. K. (2022). A mini-review of machine learning in big data analytics: Applications, challenges, and prospects. Big Data Mining and Analytics, 5(2), 81–97. https://doi.org/10.26599/BDMA.2021.9020028
Nti, I. K., Ansere, J. A., & Appiah, A. (2017). Investigating ATM Frauds In Sunyani Municipality: Customer’s Perspective. International Journal of Science and Engineering Applications, 6(2), 59–65. https://doi.org/10.7753/IJSEA0602.1006
Nti, I. K., Adekoya, A. F., & Weyori, B. A. (2020). A comprehensive evaluation of ensemble learning for stock-market prediction. Journal of Big Data, 7(1), 20. https://doi.org/10.1186/s40537-020-00299-5
Nti, I. K., Adekoya, A. F., Weyori, B. A., & Nyarko-Boateng, O. (2021). Applications of artificial intelligence in engineering and manufacturing: a systematic review. Journal of Intelligent Manufacturing. https://doi.org/10.1007/s10845-021-01771-6
Nti, I. K., Adekoya, A. F., Opoku, M., & Nimbe, P. (2020). Synchronising social media into teaching and learning settings at tertiary education. International Journal of Social Media and Interactive Learning Environments, 6(3), 230. https://doi.org/10.1504/ijsmile.2020.109228
Amo-Asuah, C., Akyeramfo-Sam, S., Nti, I. K., Ahmadiyya, T. I., Kumasi, S., Isaac, G., Nti, K., Akyeramfo-Sam, S., & Kofi Nti, I. (2017). Evaluation of Server Performance in Cloud Computing On Virtual Network Infrastructure: Using Riverbed Simulator. International Journal of Science and Engineering Applications, 6(3), 95–103. https://doi.org/10.7753/IJSEA0603.1005
Nti, I. K., & Quarcoo, J. A. (2019). Self-motivation and Academic Performance In Computer Programming Language Using a Hybridised Machine Learning Technique. International Journal of Artificial Intelligence and Expert Systems (IJAE), 8(2), 12–30. https://www.cscjournals.org/library/manuscriptinfo.php?mc=IJAE-183
Nti, I. K., Adekoya, A. F., & Weyori, B. A. (2021). A novel multi-source information-fusion predictive framework based on deep neural networks for accuracy enhancement in stock market prediction. Journal of Big Data, 8(1), 17. https://doi.org/10.1186/s40537-020-00400-y
Nti, I. K., Adekoya, A. F., & Weyori, B. A. (2019). A systematic review of fundamental and technical analysis of stock market predictions. Artificial Intelligence Review, 53(4), 3007–3057. https://doi.org/10.1007/s10462-019-09754-z
Nti, I. K., Adekoya, A. F., & Weyori, B. A. (2020). Predicting Stock Market Price Movement Using Sentiment Analysis: Evidence From Ghana. Applied Computer Systems, 25(1), 33–42. https://doi.org/10.2478/acss-2020-0004
Adekoya, A. F., & Nti, K. I. (2020). The COVID-19 outbreak and effects on major stock market indices across the globe: A machine learning approach. Indian Journal of Science and Technology, 13(35), 3695–3706. https://doi.org/10.17485/IJST/v13i35.1180
Nti, I. K., Adekoya, A. F., & Nyarko-Boateng, O. (2020). A Multifactor Authentication Framework for the National Health Insurance Scheme in Ghana using Machine Learning. 13(4), 639–648. https://doi.org/10.3844/ajeassp.2020.639.648