Publications

Nadeem, A., Bashir, B., Khalid, S., Matloob, I., Sajid, A., Zahra, S. M., Khan, H., Khalique, F., Khalil, R. A., & BBC, D. (2026). A Transformer-Based Computational Framework for Automated Burn Injury Segmentation and Severity Assessment. IEEE Access. https://doi.org/10.1109/ACCESS.2026.3663629

Nadeem, A., Bashir, B., Khalid, S., Matloob, I., Sajid, A., Zahra, S.M., Khan, H., Khalique, F., Khalil, R.A. and BBC, D. (2026) 'A Transformer-Based Computational Framework for Automated Burn Injury Segmentation and Severity Assessment', IEEE Access. doi: 10.1109/ACCESS.2026.3663629.

A. Nadeem, B. Bashir, S. Khalid, I. Matloob, A. Sajid, S. M. Zahra, H. Khan, F. Khalique, R. A. Khalil, and D. BBC, "A Transformer-Based Computational Framework for Automated Burn Injury Segmentation and Severity Assessment," IEEE Access, 2026. doi: 10.1109/ACCESS.2026.3663629.

Nadeem A, Bashir B, Khalid S, Matloob I, Sajid A, Zahra SM, et al. A Transformer-Based Computational Framework for Automated Burn Injury Segmentation and Severity Assessment. IEEE Access. 2026. doi: 10.1109/ACCESS.2026.3663629.

Nadeem, Aaiza, et al.. "A Transformer-Based Computational Framework for Automated Burn Injury Segmentation and Severity Assessment." IEEE Access, 2026. https://doi.org/10.1109/ACCESS.2026.3663629.

Nadeem, A., Bashir, B., Khalid, S., Matloob, I., Sajid, A., Zahra, S. M., Khan, H., Khalique, F., Khalil, R. A., BBC, D.. "A Transformer-Based Computational Framework for Automated Burn Injury Segmentation and Severity Assessment." IEEE Access (2026). https://doi.org/10.1109/ACCESS.2026.3663629.

@article{nadeem2026, title={A Transformer-Based Computational Framework for Automated Burn Injury Segmentation and Severity Assessment}, author={Nadeem, Aaiza and Bashir, Bushra and Khalid, Samman and Matloob, Irum and Sajid, Alishba and Zahra, Syeda Minahil and Khan, Husnain and Khalique, Fatima and Khalil, Ruhul Amin and BBC, Dr.}, journal={IEEE Access}, year={2026}, doi={10.1109/ACCESS.2026.3663629}, }

Sheikh, M. A. A., Dey, A., & Kole, A. (2026). A deep transfer learning and ensemble learning framework for brain tumor detection and classification in MRI images. Discover Artificial Intelligence. https://doi.org/10.1007/s44163-026-01080-y

Sheikh, M.A.A., Dey, A. and Kole, A. (2026) 'A deep transfer learning and ensemble learning framework for brain tumor detection and classification in MRI images', Discover Artificial Intelligence. doi: 10.1007/s44163-026-01080-y.

M. A. A. Sheikh, A. Dey, and A. Kole, "A deep transfer learning and ensemble learning framework for brain tumor detection and classification in MRI images," Discover Artificial Intelligence, 2026. doi: 10.1007/s44163-026-01080-y.

Sheikh MAA, Dey A, Kole A. A deep transfer learning and ensemble learning framework for brain tumor detection and classification in MRI images. Discover Artificial Intelligence. 2026. doi: 10.1007/s44163-026-01080-y.

Sheikh, Md. Abdul Alim, et al.. "A deep transfer learning and ensemble learning framework for brain tumor detection and classification in MRI images." Discover Artificial Intelligence, 2026. https://doi.org/10.1007/s44163-026-01080-y.

Sheikh, M. A. A., Dey, A., Kole, A.. "A deep transfer learning and ensemble learning framework for brain tumor detection and classification in MRI images." Discover Artificial Intelligence (2026). https://doi.org/10.1007/s44163-026-01080-y.

@article{sheikh2026, title={A deep transfer learning and ensemble learning framework for brain tumor detection and classification in MRI images}, author={Sheikh, Md. Abdul Alim and Dey, Abhijit and Kole, Alok}, journal={Discover Artificial Intelligence}, year={2026}, doi={10.1007/s44163-026-01080-y}, }

Katkar, V. D., Mandal, R., Biswas, U., Lunagaria, M., Tejani, G. G., & Mousavirad, S. J. (2026). Enhancing biometric authentication privacy and security: A synergistic approach using cancelable biometrics and federated learning. Alexandria Engineering Journal. https://doi.org/10.1016/j.aej.2025.12.017

Katkar, V.D., Mandal, R., Biswas, U., Lunagaria, M., Tejani, G.G. and Mousavirad, S.J. (2026) 'Enhancing biometric authentication privacy and security: A synergistic approach using cancelable biometrics and federated learning', Alexandria Engineering Journal. doi: 10.1016/j.aej.2025.12.017.

V. D. Katkar, R. Mandal, U. Biswas, M. Lunagaria, G. G. Tejani, and S. J. Mousavirad, "Enhancing biometric authentication privacy and security: A synergistic approach using cancelable biometrics and federated learning," Alexandria Engineering Journal, 2026. doi: 10.1016/j.aej.2025.12.017.

Katkar VD, Mandal R, Biswas U, Lunagaria M, Tejani GG, Mousavirad SJ. Enhancing biometric authentication privacy and security: A synergistic approach using cancelable biometrics and federated learning. Alexandria Engineering Journal. 2026. doi: 10.1016/j.aej.2025.12.017.

Katkar, Vijay D., et al.. "Enhancing biometric authentication privacy and security: A synergistic approach using cancelable biometrics and federated learning." Alexandria Engineering Journal, 2026. https://doi.org/10.1016/j.aej.2025.12.017.

Katkar, V. D., Mandal, R., Biswas, U., Lunagaria, M., Tejani, G. G., Mousavirad, S. J.. "Enhancing biometric authentication privacy and security: A synergistic approach using cancelable biometrics and federated learning." Alexandria Engineering Journal (2026). https://doi.org/10.1016/j.aej.2025.12.017.

@article{katkar2026, title={Enhancing biometric authentication privacy and security: A synergistic approach using cancelable biometrics and federated learning}, author={Katkar, Vijay D. and Mandal, Riman and Biswas, Utpal and Lunagaria, Munindra and Tejani, Ghanshyam G. and Mousavirad, Seyed Jalaleddin}, journal={Alexandria Engineering Journal}, year={2026}, doi={10.1016/j.aej.2025.12.017}, }

Quito, B. (2026). Predicting Traffic Anomalies and Collision Risks in V2X Systems: A Deep Learning Approach Using LSTM and GNN. Open Journal of Safety Science and Technology. https://doi.org/10.4236/ojsst.2026.163010

Quito, B. (2026) 'Predicting Traffic Anomalies and Collision Risks in V2X Systems: A Deep Learning Approach Using LSTM and GNN', Open Journal of Safety Science and Technology. doi: 10.4236/ojsst.2026.163010.

B. Quito, "Predicting Traffic Anomalies and Collision Risks in V2X Systems: A Deep Learning Approach Using LSTM and GNN," Open Journal of Safety Science and Technology, 2026. doi: 10.4236/ojsst.2026.163010.

Quito B. Predicting Traffic Anomalies and Collision Risks in V2X Systems: A Deep Learning Approach Using LSTM and GNN. Open Journal of Safety Science and Technology. 2026. doi: 10.4236/ojsst.2026.163010.

Quito, Benjamin. "Predicting Traffic Anomalies and Collision Risks in V2X Systems: A Deep Learning Approach Using LSTM and GNN." Open Journal of Safety Science and Technology, 2026. https://doi.org/10.4236/ojsst.2026.163010.

Quito, B.. "Predicting Traffic Anomalies and Collision Risks in V2X Systems: A Deep Learning Approach Using LSTM and GNN." Open Journal of Safety Science and Technology (2026). https://doi.org/10.4236/ojsst.2026.163010.

@article{quito2026, title={Predicting Traffic Anomalies and Collision Risks in V2X Systems: A Deep Learning Approach Using LSTM and GNN}, author={Quito, Benjamin}, journal={Open Journal of Safety Science and Technology}, year={2026}, doi={10.4236/ojsst.2026.163010}, }

YIHDEGO, M. (2026). A Statistically Validated Bidirectional Neural Machine Translation Framework for the Low-Resource Tigrigna–Kunama Language Pair. https://doi.org/10.5281/ZENODO.21307293

YIHDEGO, M. (2026) 'A Statistically Validated Bidirectional Neural Machine Translation Framework for the Low-Resource Tigrigna–Kunama Language Pair'. doi: 10.5281/ZENODO.21307293.

M. YIHDEGO, "A Statistically Validated Bidirectional Neural Machine Translation Framework for the Low-Resource Tigrigna–Kunama Language Pair," 2026. doi: 10.5281/ZENODO.21307293.

YIHDEGO M. A Statistically Validated Bidirectional Neural Machine Translation Framework for the Low-Resource Tigrigna–Kunama Language Pair. 2026. doi: 10.5281/ZENODO.21307293.

YIHDEGO, MEBRAHATOM. "A Statistically Validated Bidirectional Neural Machine Translation Framework for the Low-Resource Tigrigna–Kunama Language Pair." 2026. https://doi.org/10.5281/ZENODO.21307293.

YIHDEGO, M.. "A Statistically Validated Bidirectional Neural Machine Translation Framework for the Low-Resource Tigrigna–Kunama Language Pair." (2026). https://doi.org/10.5281/ZENODO.21307293.

@article{yihdego2026, title={A Statistically Validated Bidirectional Neural Machine Translation Framework for the Low-Resource Tigrigna–Kunama Language Pair}, author={YIHDEGO, MEBRAHATOM}, year={2026}, doi={10.5281/ZENODO.21307293}, }

YIHDEGO, M. (2026). Dynamic Weighted Feature Fusion with Residual Attention Stacking for High Accuracy Maize Leaf Disease Classification. https://doi.org/10.5281/ZENODO.21429838

YIHDEGO, M. (2026) 'Dynamic Weighted Feature Fusion with Residual Attention Stacking for High Accuracy Maize Leaf Disease Classification'. doi: 10.5281/ZENODO.21429838.

M. YIHDEGO, "Dynamic Weighted Feature Fusion with Residual Attention Stacking for High Accuracy Maize Leaf Disease Classification," 2026. doi: 10.5281/ZENODO.21429838.

YIHDEGO M. Dynamic Weighted Feature Fusion with Residual Attention Stacking for High Accuracy Maize Leaf Disease Classification. 2026. doi: 10.5281/ZENODO.21429838.

YIHDEGO, MEBRAHATOM. "Dynamic Weighted Feature Fusion with Residual Attention Stacking for High Accuracy Maize Leaf Disease Classification." 2026. https://doi.org/10.5281/ZENODO.21429838.

YIHDEGO, M.. "Dynamic Weighted Feature Fusion with Residual Attention Stacking for High Accuracy Maize Leaf Disease Classification." (2026). https://doi.org/10.5281/ZENODO.21429838.

@article{yihdego2026, title={Dynamic Weighted Feature Fusion with Residual Attention Stacking for High Accuracy Maize Leaf Disease Classification}, author={YIHDEGO, MEBRAHATOM}, year={2026}, doi={10.5281/ZENODO.21429838}, }

Mohanta, K. K. & Mohanta, J. (2026). Fuzzy Regression Model to Assess the Rainfall Variability Trend inKalahandi, Odisha: Leveraging 100 Years of Data for Trend Robustnessand Predictive Accuracy. Systemic Analytics. https://doi.org/10.31181/sa41202668

Mohanta, K.K. and Mohanta, J. (2026) 'Fuzzy Regression Model to Assess the Rainfall Variability Trend inKalahandi, Odisha: Leveraging 100 Years of Data for Trend Robustnessand Predictive Accuracy', Systemic Analytics. doi: 10.31181/sa41202668.

K. K. Mohanta and J. Mohanta, "Fuzzy Regression Model to Assess the Rainfall Variability Trend inKalahandi, Odisha: Leveraging 100 Years of Data for Trend Robustnessand Predictive Accuracy," Systemic Analytics, 2026. doi: 10.31181/sa41202668.

Mohanta KK, Mohanta J. Fuzzy Regression Model to Assess the Rainfall Variability Trend inKalahandi, Odisha: Leveraging 100 Years of Data for Trend Robustnessand Predictive Accuracy. Systemic Analytics. 2026. doi: 10.31181/sa41202668.

Mohanta, Kshitish Kumar, and Jyotirmayee Mohanta. "Fuzzy Regression Model to Assess the Rainfall Variability Trend inKalahandi, Odisha: Leveraging 100 Years of Data for Trend Robustnessand Predictive Accuracy." Systemic Analytics, 2026. https://doi.org/10.31181/sa41202668.

Mohanta, K. K., Mohanta, J.. "Fuzzy Regression Model to Assess the Rainfall Variability Trend inKalahandi, Odisha: Leveraging 100 Years of Data for Trend Robustnessand Predictive Accuracy." Systemic Analytics (2026). https://doi.org/10.31181/sa41202668.

@article{mohanta2026, title={Fuzzy Regression Model to Assess the Rainfall Variability Trend inKalahandi, Odisha: Leveraging 100 Years of Data for Trend Robustnessand Predictive Accuracy}, author={Mohanta, Kshitish Kumar and Mohanta, Jyotirmayee}, journal={Systemic Analytics}, year={2026}, doi={10.31181/sa41202668}, }

Fosu, D. M., Arthur, J., Tetteh, P. D., Banful, A. B., & Jerry, K. J. (2026). Enforceable Digital Sovereignty in Government Cloud Procurement. 2026 ITU Kaleidoscope - AI and Frontier Technologies for Good (ITU K). https://doi.org/10.23919/ITUK70038.2026.11632520

Fosu, D.M., Arthur, J., Tetteh, P.D., Banful, A.B. and Jerry, K.J. (2026) 'Enforceable Digital Sovereignty in Government Cloud Procurement', 2026 ITU Kaleidoscope - AI and Frontier Technologies for Good (ITU K). doi: 10.23919/ITUK70038.2026.11632520.

D. M. Fosu, J. Arthur, P. D. Tetteh, A. B. Banful, and K. J. Jerry, "Enforceable Digital Sovereignty in Government Cloud Procurement," 2026 ITU Kaleidoscope - AI and Frontier Technologies for Good (ITU K), 2026. doi: 10.23919/ITUK70038.2026.11632520.

Fosu DM, Arthur J, Tetteh PD, Banful AB, Jerry KJ. Enforceable Digital Sovereignty in Government Cloud Procurement. 2026 ITU Kaleidoscope - AI and Frontier Technologies for Good (ITU K). 2026. doi: 10.23919/ITUK70038.2026.11632520.

Fosu, Dickson Marfo, et al.. "Enforceable Digital Sovereignty in Government Cloud Procurement." 2026 ITU Kaleidoscope - AI and Frontier Technologies for Good (ITU K), 2026. https://doi.org/10.23919/ITUK70038.2026.11632520.

Fosu, D. M., Arthur, J., Tetteh, P. D., Banful, A. B., Jerry, K. J.. "Enforceable Digital Sovereignty in Government Cloud Procurement." 2026 ITU Kaleidoscope - AI and Frontier Technologies for Good (ITU K) (2026). https://doi.org/10.23919/ITUK70038.2026.11632520.

@inproceedings{fosu2026, title={Enforceable Digital Sovereignty in Government Cloud Procurement}, author={Fosu, Dickson Marfo and Arthur, Juliet and Tetteh, Prince Dawson and Banful, Ama Branoa and Jerry, Kponyo J.}, booktitle={2026 ITU Kaleidoscope - AI and Frontier Technologies for Good (ITU K)}, year={2026}, doi={10.23919/ITUK70038.2026.11632520}, }

Tetteh, P. D., Jerry, K. J., Banful, A. B., Fosu, D. M., Arthur, J., & Frowne, C. I. (2026). Edge-Native LLMs: a Sustainable Architecture for Offline-First Education in Rural 6G Networks. 2026 ITU Kaleidoscope - AI and Frontier Technologies for Good (ITU K). https://doi.org/10.23919/ITUK70038.2026.11632990

Tetteh, P.D., Jerry, K.J., Banful, A.B., Fosu, D.M., Arthur, J. and Frowne, C.I. (2026) 'Edge-Native LLMs: a Sustainable Architecture for Offline-First Education in Rural 6G Networks', 2026 ITU Kaleidoscope - AI and Frontier Technologies for Good (ITU K). doi: 10.23919/ITUK70038.2026.11632990.

P. D. Tetteh, K. J. Jerry, A. B. Banful, D. M. Fosu, J. Arthur, and C. I. Frowne, "Edge-Native LLMs: a Sustainable Architecture for Offline-First Education in Rural 6G Networks," 2026 ITU Kaleidoscope - AI and Frontier Technologies for Good (ITU K), 2026. doi: 10.23919/ITUK70038.2026.11632990.

Tetteh PD, Jerry KJ, Banful AB, Fosu DM, Arthur J, Frowne CI. Edge-Native LLMs: a Sustainable Architecture for Offline-First Education in Rural 6G Networks. 2026 ITU Kaleidoscope - AI and Frontier Technologies for Good (ITU K). 2026. doi: 10.23919/ITUK70038.2026.11632990.

Tetteh, Prince Dawson, et al.. "Edge-Native LLMs: a Sustainable Architecture for Offline-First Education in Rural 6G Networks." 2026 ITU Kaleidoscope - AI and Frontier Technologies for Good (ITU K), 2026. https://doi.org/10.23919/ITUK70038.2026.11632990.

Tetteh, P. D., Jerry, K. J., Banful, A. B., Fosu, D. M., Arthur, J., Frowne, C. I.. "Edge-Native LLMs: a Sustainable Architecture for Offline-First Education in Rural 6G Networks." 2026 ITU Kaleidoscope - AI and Frontier Technologies for Good (ITU K) (2026). https://doi.org/10.23919/ITUK70038.2026.11632990.

@inproceedings{tetteh2026, title={Edge-Native LLMs: a Sustainable Architecture for Offline-First Education in Rural 6G Networks}, author={Tetteh, Prince Dawson and Jerry, Kponyo J. and Banful, Ama Branoa and Fosu, Dickson Marfo and Arthur, Juliet and Frowne, Christian Idan}, booktitle={2026 ITU Kaleidoscope - AI and Frontier Technologies for Good (ITU K)}, year={2026}, doi={10.23919/ITUK70038.2026.11632990}, }

Banful, A. (2026). Nsanku: Evaluating Zero-Shot Translation Performance of LLMs for Ghanaian Languages. arXiv preprint arXiv:2605.04208.

Banful, A. (2026) 'Nsanku: Evaluating Zero-Shot Translation Performance of LLMs for Ghanaian Languages', arXiv preprint arXiv:2605.04208.

A. Banful, "Nsanku: Evaluating Zero-Shot Translation Performance of LLMs for Ghanaian Languages," arXiv preprint arXiv:2605.04208, 2026.

Banful A. Nsanku: Evaluating Zero-Shot Translation Performance of LLMs for Ghanaian Languages. arXiv preprint arXiv:2605.04208. 2026.

Banful, Ama. "Nsanku: Evaluating Zero-Shot Translation Performance of LLMs for Ghanaian Languages." arXiv preprint arXiv:2605.04208, 2026.

Banful, A.. "Nsanku: Evaluating Zero-Shot Translation Performance of LLMs for Ghanaian Languages." arXiv preprint arXiv:2605.04208 (2026).

@article{banful2026, title={Nsanku: Evaluating Zero-Shot Translation Performance of LLMs for Ghanaian Languages}, author={Banful, Ama}, journal={arXiv preprint arXiv:2605.04208}, year={2026}, }