Publications

Nsarkoh, E., Banful, A. B., Arthur, J., Fosu, D. M., Tetteh, P. D., & Kponyo, J. J. (2025). A foundational architecture for engineering an Afrocentric AI training and renewal platform. Discover Artificial Intelligence. https://doi.org/10.1007/s44163-025-00571-8

Nsarkoh, E., Banful, A.B., Arthur, J., Fosu, D.M., Tetteh, P.D. and Kponyo, J.J. (2025) 'A foundational architecture for engineering an Afrocentric AI training and renewal platform', Discover Artificial Intelligence. doi: 10.1007/s44163-025-00571-8.

E. Nsarkoh, A. B. Banful, J. Arthur, D. M. Fosu, P. D. Tetteh, and J. J. Kponyo, "A foundational architecture for engineering an Afrocentric AI training and renewal platform," Discover Artificial Intelligence, 2025. doi: 10.1007/s44163-025-00571-8.

Nsarkoh E, Banful AB, Arthur J, Fosu DM, Tetteh PD, Kponyo JJ. A foundational architecture for engineering an Afrocentric AI training and renewal platform. Discover Artificial Intelligence. 2025. doi: 10.1007/s44163-025-00571-8.

Nsarkoh, Eric, et al.. "A foundational architecture for engineering an Afrocentric AI training and renewal platform." Discover Artificial Intelligence, 2025. https://doi.org/10.1007/s44163-025-00571-8.

Nsarkoh, E., Banful, A. B., Arthur, J., Fosu, D. M., Tetteh, P. D., Kponyo, J. J.. "A foundational architecture for engineering an Afrocentric AI training and renewal platform." Discover Artificial Intelligence (2025). https://doi.org/10.1007/s44163-025-00571-8.

@article{nsarkoh2025, title={A foundational architecture for engineering an Afrocentric AI training and renewal platform}, author={Nsarkoh, Eric and Banful, Ama Branoa and Arthur, Juliet and Fosu, Dickson Marfo and Tetteh, Prince Dawson and Kponyo, Jerry John}, journal={Discover Artificial Intelligence}, year={2025}, doi={10.1007/s44163-025-00571-8}, }

S, P., Poornima, S. N., Lade, S. G., Venkatesh, N., G, A., & G, A. (2025). Deep Learning-Based Prediction Models for Colorectal Disease: Enhancing Diagnostic Accuracy. International Research Journal of Multidisciplinary Scope. https://doi.org/10.47857/irjms.2025.v06i03.04664

S, P., Poornima, S.N., Lade, S.G., Venkatesh, N., G, A. and G, A. (2025) 'Deep Learning-Based Prediction Models for Colorectal Disease: Enhancing Diagnostic Accuracy', International Research Journal of Multidisciplinary Scope. doi: 10.47857/irjms.2025.v06i03.04664.

P. S, S. N. Poornima, S. G. Lade, N. Venkatesh, A. G, and A. G, "Deep Learning-Based Prediction Models for Colorectal Disease: Enhancing Diagnostic Accuracy," International Research Journal of Multidisciplinary Scope, 2025. doi: 10.47857/irjms.2025.v06i03.04664.

S P, Poornima SN, Lade SG, Venkatesh N, G A, G A. Deep Learning-Based Prediction Models for Colorectal Disease: Enhancing Diagnostic Accuracy. International Research Journal of Multidisciplinary Scope. 2025. doi: 10.47857/irjms.2025.v06i03.04664.

S, Parimala, et al.. "Deep Learning-Based Prediction Models for Colorectal Disease: Enhancing Diagnostic Accuracy." International Research Journal of Multidisciplinary Scope, 2025. https://doi.org/10.47857/irjms.2025.v06i03.04664.

S, P., Poornima, S. N., Lade, S. G., Venkatesh, N., G, A., G, A.. "Deep Learning-Based Prediction Models for Colorectal Disease: Enhancing Diagnostic Accuracy." International Research Journal of Multidisciplinary Scope (2025). https://doi.org/10.47857/irjms.2025.v06i03.04664.

@article{s2025, title={Deep Learning-Based Prediction Models for Colorectal Disease: Enhancing Diagnostic Accuracy}, author={S, Parimala and Poornima, S Nalini and Lade, Sangita Gautam and Venkatesh, N and G, Appasami and G, Appasami}, journal={International Research Journal of Multidisciplinary Scope}, year={2025}, doi={10.47857/irjms.2025.v06i03.04664}, }

Appasami, G., Savarimuthu, N., & G, A. (2025). Cross-dataset performance evaluation and secure federated learning with weighted model aggregation for MRI brain tumor image classification. The Journal of Supercomputing. https://doi.org/10.1007/S11227-025-08051-7

Appasami, G., Savarimuthu, N. and G, A. (2025) 'Cross-dataset performance evaluation and secure federated learning with weighted model aggregation for MRI brain tumor image classification', The Journal of Supercomputing. doi: 10.1007/S11227-025-08051-7.

G. Appasami, N. Savarimuthu, and A. G, "Cross-dataset performance evaluation and secure federated learning with weighted model aggregation for MRI brain tumor image classification," The Journal of Supercomputing, 2025. doi: 10.1007/S11227-025-08051-7.

Appasami G, Savarimuthu N, G A. Cross-dataset performance evaluation and secure federated learning with weighted model aggregation for MRI brain tumor image classification. The Journal of Supercomputing. 2025. doi: 10.1007/S11227-025-08051-7.

Appasami, G., et al.. "Cross-dataset performance evaluation and secure federated learning with weighted model aggregation for MRI brain tumor image classification." The Journal of Supercomputing, 2025. https://doi.org/10.1007/S11227-025-08051-7.

Appasami, G., Savarimuthu, N., G, A.. "Cross-dataset performance evaluation and secure federated learning with weighted model aggregation for MRI brain tumor image classification." The Journal of Supercomputing (2025). https://doi.org/10.1007/S11227-025-08051-7.

@article{appasami2025, title={Cross-dataset performance evaluation and secure federated learning with weighted model aggregation for MRI brain tumor image classification}, author={Appasami, G. and Savarimuthu, Nickolas and G, Appasami}, journal={The Journal of Supercomputing}, year={2025}, doi={10.1007/S11227-025-08051-7}, }

Appasami, G., Savarimuthu, N., & G, A. (2025). A novel lightweight CNN design for MRI brain tumor image classification with performance-driven optimization. Discover Computing. https://doi.org/10.1007/s10791-025-09603-4

Appasami, G., Savarimuthu, N. and G, A. (2025) 'A novel lightweight CNN design for MRI brain tumor image classification with performance-driven optimization', Discover Computing. doi: 10.1007/s10791-025-09603-4.

G. Appasami, N. Savarimuthu, and A. G, "A novel lightweight CNN design for MRI brain tumor image classification with performance-driven optimization," Discover Computing, 2025. doi: 10.1007/s10791-025-09603-4.

Appasami G, Savarimuthu N, G A. A novel lightweight CNN design for MRI brain tumor image classification with performance-driven optimization. Discover Computing. 2025. doi: 10.1007/s10791-025-09603-4.

Appasami, G., et al.. "A novel lightweight CNN design for MRI brain tumor image classification with performance-driven optimization." Discover Computing, 2025. https://doi.org/10.1007/s10791-025-09603-4.

Appasami, G., Savarimuthu, N., G, A.. "A novel lightweight CNN design for MRI brain tumor image classification with performance-driven optimization." Discover Computing (2025). https://doi.org/10.1007/s10791-025-09603-4.

@article{appasami2025, title={A novel lightweight CNN design for MRI brain tumor image classification with performance-driven optimization}, author={Appasami, G. and Savarimuthu, Nickolas and G, Appasami}, journal={Discover Computing}, year={2025}, doi={10.1007/s10791-025-09603-4}, }

Appasami, G., Savarimuthu, N., & G, A. (2025). Federated learning for secure medical MRI brain tumor image classification. The European Physical Journal Special Topics. https://doi.org/10.1140/epjs/s11734-025-01516-z

Appasami, G., Savarimuthu, N. and G, A. (2025) 'Federated learning for secure medical MRI brain tumor image classification', The European Physical Journal Special Topics. doi: 10.1140/epjs/s11734-025-01516-z.

G. Appasami, N. Savarimuthu, and A. G, "Federated learning for secure medical MRI brain tumor image classification," The European Physical Journal Special Topics, 2025. doi: 10.1140/epjs/s11734-025-01516-z.

Appasami G, Savarimuthu N, G A. Federated learning for secure medical MRI brain tumor image classification. The European Physical Journal Special Topics. 2025. doi: 10.1140/epjs/s11734-025-01516-z.

Appasami, G., et al.. "Federated learning for secure medical MRI brain tumor image classification." The European Physical Journal Special Topics, 2025. https://doi.org/10.1140/epjs/s11734-025-01516-z.

Appasami, G., Savarimuthu, N., G, A.. "Federated learning for secure medical MRI brain tumor image classification." The European Physical Journal Special Topics (2025). https://doi.org/10.1140/epjs/s11734-025-01516-z.

@article{appasami2025, title={Federated learning for secure medical MRI brain tumor image classification}, author={Appasami, G. and Savarimuthu, Nickolas and G, Appasami}, journal={The European Physical Journal Special Topics}, year={2025}, doi={10.1140/epjs/s11734-025-01516-z}, }

Jettoji, N., Prabhu, L. A. J., Solanki, V., & LAZER, A. (2025). Navigating Future Coronary Heart Disease Scenarios with Ensemble Learning. Cognitive Science and Technology. https://doi.org/10.1007/978-981-97-9262-7_31

Jettoji, N., Prabhu, L.A.J., Solanki, V. and LAZER, A. (2025) 'Navigating Future Coronary Heart Disease Scenarios with Ensemble Learning', Cognitive Science and Technology. doi: 10.1007/978-981-97-9262-7_31.

N. Jettoji, L. A. J. Prabhu, V. Solanki, and A. LAZER, "Navigating Future Coronary Heart Disease Scenarios with Ensemble Learning," Cognitive Science and Technology, 2025. doi: 10.1007/978-981-97-9262-7_31.

Jettoji N, Prabhu LAJ, Solanki V, LAZER A. Navigating Future Coronary Heart Disease Scenarios with Ensemble Learning. Cognitive Science and Technology. 2025. doi: 10.1007/978-981-97-9262-7_31.

Jettoji, Navya, et al.. "Navigating Future Coronary Heart Disease Scenarios with Ensemble Learning." Cognitive Science and Technology, 2025. https://doi.org/10.1007/978-981-97-9262-7_31.

Jettoji, N., Prabhu, L. A. J., Solanki, V., LAZER, A.. "Navigating Future Coronary Heart Disease Scenarios with Ensemble Learning." Cognitive Science and Technology (2025). https://doi.org/10.1007/978-981-97-9262-7_31.

@inproceedings{jettoji2025, title={Navigating Future Coronary Heart Disease Scenarios with Ensemble Learning}, author={Jettoji, Navya and Prabhu, L. Arokia Jesu and Solanki, Vijender and LAZER, AROKIA}, booktitle={Cognitive Science and Technology}, year={2025}, doi={10.1007/978-981-97-9262-7_31}, }

Vaishali, D., Prabhu, L. A. J., & LAZER, A. (2025). Machine Learning Based Ensemble Learning Approach for Malware Family Classification Using Visual File Representations. Information Systems Engineering and Management. https://doi.org/10.1007/978-3-031-97709-1_4

Vaishali, D., Prabhu, L.A.J. and LAZER, A. (2025) 'Machine Learning Based Ensemble Learning Approach for Malware Family Classification Using Visual File Representations', Information Systems Engineering and Management. doi: 10.1007/978-3-031-97709-1_4.

D. Vaishali, L. A. J. Prabhu, and A. LAZER, "Machine Learning Based Ensemble Learning Approach for Malware Family Classification Using Visual File Representations," Information Systems Engineering and Management, 2025. doi: 10.1007/978-3-031-97709-1_4.

Vaishali D, Prabhu LAJ, LAZER A. Machine Learning Based Ensemble Learning Approach for Malware Family Classification Using Visual File Representations. Information Systems Engineering and Management. 2025. doi: 10.1007/978-3-031-97709-1_4.

Vaishali, Dubariya, et al.. "Machine Learning Based Ensemble Learning Approach for Malware Family Classification Using Visual File Representations." Information Systems Engineering and Management, 2025. https://doi.org/10.1007/978-3-031-97709-1_4.

Vaishali, D., Prabhu, L. A. J., LAZER, A.. "Machine Learning Based Ensemble Learning Approach for Malware Family Classification Using Visual File Representations." Information Systems Engineering and Management (2025). https://doi.org/10.1007/978-3-031-97709-1_4.

@book{vaishali2025, title={Machine Learning Based Ensemble Learning Approach for Malware Family Classification Using Visual File Representations}, author={Vaishali, Dubariya and Prabhu, L. Arokia Jesu and LAZER, AROKIA}, journal={Information Systems Engineering and Management}, year={2025}, doi={10.1007/978-3-031-97709-1_4}, }

Rajassekharan, D., Subramanian, J., Lazar, A. J. P., Satya, S. P. V. V., Ray, S., Ammasai, V., Sengan, S., & LAZER, A. (2025). Efficient Temporal Data Mining Technique Using Dynamic Time Warped LSTM for E-Commerce Recommendation Systems. Smart Innovation Systems and Technologies. https://doi.org/10.1007/978-981-97-8355-7_17

Rajassekharan, D., Subramanian, J., Lazar, A.J.P., Satya, S.P.V.V., Ray, S., Ammasai, V., Sengan, S. and LAZER, A. (2025) 'Efficient Temporal Data Mining Technique Using Dynamic Time Warped LSTM for E-Commerce Recommendation Systems', Smart Innovation Systems and Technologies. doi: 10.1007/978-981-97-8355-7_17.

D. Rajassekharan, J. Subramanian, A. J. P. Lazar, S. P. V. V. Satya, S. Ray, V. Ammasai, S. Sengan, and A. LAZER, "Efficient Temporal Data Mining Technique Using Dynamic Time Warped LSTM for E-Commerce Recommendation Systems," Smart Innovation Systems and Technologies, 2025. doi: 10.1007/978-981-97-8355-7_17.

Rajassekharan D, Subramanian J, Lazar AJP, Satya SPVV, Ray S, Ammasai V, et al. Efficient Temporal Data Mining Technique Using Dynamic Time Warped LSTM for E-Commerce Recommendation Systems. Smart Innovation Systems and Technologies. 2025. doi: 10.1007/978-981-97-8355-7_17.

Rajassekharan, Dinesh, et al.. "Efficient Temporal Data Mining Technique Using Dynamic Time Warped LSTM for E-Commerce Recommendation Systems." Smart Innovation Systems and Technologies, 2025. https://doi.org/10.1007/978-981-97-8355-7_17.

Rajassekharan, D., Subramanian, J., Lazar, A. J. P., Satya, S. P. V. V., Ray, S., Ammasai, V., Sengan, S., LAZER, A.. "Efficient Temporal Data Mining Technique Using Dynamic Time Warped LSTM for E-Commerce Recommendation Systems." Smart Innovation Systems and Technologies (2025). https://doi.org/10.1007/978-981-97-8355-7_17.

@inproceedings{rajassekharan2025, title={Efficient Temporal Data Mining Technique Using Dynamic Time Warped LSTM for E-Commerce Recommendation Systems}, author={Rajassekharan, Dinesh and Subramanian, Jayasundar and Lazar, Arokia Jesu Prabhu and Satya, Srinivas Pichuka Veera Venkata and Ray, Samrat and Ammasai, Viswanathan and Sengan, Sudhakar and LAZER, AROKIA}, booktitle={Smart Innovation Systems and Technologies}, year={2025}, doi={10.1007/978-981-97-8355-7_17}, }

Gattoji, J., Prabhu, L. A. J., Solanki, V., & LAZER, A. (2025). Alzheimer’s Disease Identification at Early Stage Using Machine Learning-Based Cognitive Features and Feature Extraction. Cognitive Science and Technology. https://doi.org/10.1007/978-981-97-9262-7_44

Gattoji, J., Prabhu, L.A.J., Solanki, V. and LAZER, A. (2025) 'Alzheimer’s Disease Identification at Early Stage Using Machine Learning-Based Cognitive Features and Feature Extraction', Cognitive Science and Technology. doi: 10.1007/978-981-97-9262-7_44.

J. Gattoji, L. A. J. Prabhu, V. Solanki, and A. LAZER, "Alzheimer’s Disease Identification at Early Stage Using Machine Learning-Based Cognitive Features and Feature Extraction," Cognitive Science and Technology, 2025. doi: 10.1007/978-981-97-9262-7_44.

Gattoji J, Prabhu LAJ, Solanki V, LAZER A. Alzheimer’s Disease Identification at Early Stage Using Machine Learning-Based Cognitive Features and Feature Extraction. Cognitive Science and Technology. 2025. doi: 10.1007/978-981-97-9262-7_44.

Gattoji, Jyothi, et al.. "Alzheimer’s Disease Identification at Early Stage Using Machine Learning-Based Cognitive Features and Feature Extraction." Cognitive Science and Technology, 2025. https://doi.org/10.1007/978-981-97-9262-7_44.

Gattoji, J., Prabhu, L. A. J., Solanki, V., LAZER, A.. "Alzheimer’s Disease Identification at Early Stage Using Machine Learning-Based Cognitive Features and Feature Extraction." Cognitive Science and Technology (2025). https://doi.org/10.1007/978-981-97-9262-7_44.

@inproceedings{gattoji2025, title={Alzheimer’s Disease Identification at Early Stage Using Machine Learning-Based Cognitive Features and Feature Extraction}, author={Gattoji, Jyothi and Prabhu, L. Arokia Jesu and Solanki, Vijender and LAZER, AROKIA}, booktitle={Cognitive Science and Technology}, year={2025}, doi={10.1007/978-981-97-9262-7_44}, }

Kadiri, S., Prakash, A., Prabhu, L. A. J., Solanki, V., & LAZER, A. (2025). A Study and Analysis of Autism Spectrum Disorder for Different Classes of Human Lives Using Multi-Machine Learning Techniques. Cognitive Science and Technology. https://doi.org/10.1007/978-981-97-9262-7_69

Kadiri, S., Prakash, A., Prabhu, L.A.J., Solanki, V. and LAZER, A. (2025) 'A Study and Analysis of Autism Spectrum Disorder for Different Classes of Human Lives Using Multi-Machine Learning Techniques', Cognitive Science and Technology. doi: 10.1007/978-981-97-9262-7_69.

S. Kadiri, A. Prakash, L. A. J. Prabhu, V. Solanki, and A. LAZER, "A Study and Analysis of Autism Spectrum Disorder for Different Classes of Human Lives Using Multi-Machine Learning Techniques," Cognitive Science and Technology, 2025. doi: 10.1007/978-981-97-9262-7_69.

Kadiri S, Prakash A, Prabhu LAJ, Solanki V, LAZER A. A Study and Analysis of Autism Spectrum Disorder for Different Classes of Human Lives Using Multi-Machine Learning Techniques. Cognitive Science and Technology. 2025. doi: 10.1007/978-981-97-9262-7_69.

Kadiri, Sravanthi, et al.. "A Study and Analysis of Autism Spectrum Disorder for Different Classes of Human Lives Using Multi-Machine Learning Techniques." Cognitive Science and Technology, 2025. https://doi.org/10.1007/978-981-97-9262-7_69.

Kadiri, S., Prakash, A., Prabhu, L. A. J., Solanki, V., LAZER, A.. "A Study and Analysis of Autism Spectrum Disorder for Different Classes of Human Lives Using Multi-Machine Learning Techniques." Cognitive Science and Technology (2025). https://doi.org/10.1007/978-981-97-9262-7_69.

@inproceedings{kadiri2025, title={A Study and Analysis of Autism Spectrum Disorder for Different Classes of Human Lives Using Multi-Machine Learning Techniques}, author={Kadiri, Sravanthi and Prakash, A. and Prabhu, L. Arokia Jesu and Solanki, Vijender and LAZER, AROKIA}, booktitle={Cognitive Science and Technology}, year={2025}, doi={10.1007/978-981-97-9262-7_69}, }