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Publications

A searchable record of ICResG research output — journal articles, conference papers, technical reports and more. Search by author, title, year, venue, DOI, research area or keyword.

292 publications found.

Journal 2023 Cited by 0
Seddik Abdelalim, Ilias Elmouki — European Journal of Pure and Applied Mathematics — DOI: 10.29020/nybg.ejpam.v16i4.4941
Cite this publication
APA

Abdelalim, S. & Elmouki, I. (2023). Crystal Reduced Motif via the Vectors Exchange Theorem I: Impact of Swapping on two Orthogonalization Processes and the AE Algorithm. European Journal of Pure and Applied Mathematics. https://doi.org/10.29020/nybg.ejpam.v16i4.4941

Harvard

Abdelalim, S. and Elmouki, I. (2023) 'Crystal Reduced Motif via the Vectors Exchange Theorem I: Impact of Swapping on two Orthogonalization Processes and the AE Algorithm', European Journal of Pure and Applied Mathematics. doi: 10.29020/nybg.ejpam.v16i4.4941.

IEEE

S. Abdelalim and I. Elmouki, "Crystal Reduced Motif via the Vectors Exchange Theorem I: Impact of Swapping on two Orthogonalization Processes and the AE Algorithm," European Journal of Pure and Applied Mathematics, 2023. doi: 10.29020/nybg.ejpam.v16i4.4941.

Vancouver

Abdelalim S, Elmouki I. Crystal Reduced Motif via the Vectors Exchange Theorem I: Impact of Swapping on two Orthogonalization Processes and the AE Algorithm. European Journal of Pure and Applied Mathematics. 2023. doi: 10.29020/nybg.ejpam.v16i4.4941.

MLA

Abdelalim, Seddik, and Ilias Elmouki. "Crystal Reduced Motif via the Vectors Exchange Theorem I: Impact of Swapping on two Orthogonalization Processes and the AE Algorithm." European Journal of Pure and Applied Mathematics, 2023. https://doi.org/10.29020/nybg.ejpam.v16i4.4941.

Chicago

Abdelalim, S., Elmouki, I.. "Crystal Reduced Motif via the Vectors Exchange Theorem I: Impact of Swapping on two Orthogonalization Processes and the AE Algorithm." European Journal of Pure and Applied Mathematics (2023). https://doi.org/10.29020/nybg.ejpam.v16i4.4941.

BibTeX

@article{abdelalim2023, title={Crystal Reduced Motif via the Vectors Exchange Theorem I: Impact of Swapping on two Orthogonalization Processes and the AE Algorithm}, author={Abdelalim, Seddik and Elmouki, Ilias}, journal={European Journal of Pure and Applied Mathematics}, year={2023}, doi={10.29020/nybg.ejpam.v16i4.4941}, }

Journal 2023 Cited by 0
Muhammad Asif Rasheed, Sohail Raza, Wadi B. Alonazi, Muhammad Adnan Ashraf, Muhammad Tariq Navid, Irfana Aslam, Muhammad Nasir Iqbal, Sarfraz Ur Rahman, Muhammad Ilyas Riaz — Microorganisms — DOI: 10.3390/microorganisms11092282
Cite this publication
APA

Rasheed, M. A., Raza, S., Alonazi, W. B., Ashraf, M. A., Navid, M. T., Aslam, I., Iqbal, M. N., Rahman, S. U., & Riaz, M. I. (2023). Design and Assessment of a Novel In Silico Approach for Developing a Next-Generation Multi-Epitope Universal Vaccine Targeting Coronaviruses. Microorganisms. https://doi.org/10.3390/microorganisms11092282

Harvard

Rasheed, M.A., Raza, S., Alonazi, W.B., Ashraf, M.A., Navid, M.T., Aslam, I., Iqbal, M.N., Rahman, S.U. and Riaz, M.I. (2023) 'Design and Assessment of a Novel In Silico Approach for Developing a Next-Generation Multi-Epitope Universal Vaccine Targeting Coronaviruses', Microorganisms. doi: 10.3390/microorganisms11092282.

IEEE

M. A. Rasheed, S. Raza, W. B. Alonazi, M. A. Ashraf, M. T. Navid, I. Aslam, M. N. Iqbal, S. U. Rahman, and M. I. Riaz, "Design and Assessment of a Novel In Silico Approach for Developing a Next-Generation Multi-Epitope Universal Vaccine Targeting Coronaviruses," Microorganisms, 2023. doi: 10.3390/microorganisms11092282.

Vancouver

Rasheed MA, Raza S, Alonazi WB, Ashraf MA, Navid MT, Aslam I, et al. Design and Assessment of a Novel In Silico Approach for Developing a Next-Generation Multi-Epitope Universal Vaccine Targeting Coronaviruses. Microorganisms. 2023. doi: 10.3390/microorganisms11092282.

MLA

Rasheed, Muhammad Asif, et al.. "Design and Assessment of a Novel In Silico Approach for Developing a Next-Generation Multi-Epitope Universal Vaccine Targeting Coronaviruses." Microorganisms, 2023. https://doi.org/10.3390/microorganisms11092282.

Chicago

Rasheed, M. A., Raza, S., Alonazi, W. B., Ashraf, M. A., Navid, M. T., Aslam, I., Iqbal, M. N., Rahman, S. U., Riaz, M. I.. "Design and Assessment of a Novel In Silico Approach for Developing a Next-Generation Multi-Epitope Universal Vaccine Targeting Coronaviruses." Microorganisms (2023). https://doi.org/10.3390/microorganisms11092282.

BibTeX

@article{rasheed2023, title={Design and Assessment of a Novel In Silico Approach for Developing a Next-Generation Multi-Epitope Universal Vaccine Targeting Coronaviruses}, author={Rasheed, Muhammad Asif and Raza, Sohail and Alonazi, Wadi B. and Ashraf, Muhammad Adnan and Navid, Muhammad Tariq and Aslam, Irfana and Iqbal, Muhammad Nasir and Rahman, Sarfraz Ur and Riaz, Muhammad Ilyas}, journal={Microorganisms}, year={2023}, doi={10.3390/microorganisms11092282}, }

Conference 2023 Cited by 9
Fatima Khalid, Muhammad Haseed Akbar, Shehla Gul — 2023 International Conference on Robotics and Automation in Industry, ICRAI 2023 — DOI: 10.1109/ICRAI57502.2023.10089585
Cite this publication
APA

Khalid, F., Akbar, M. H., & Gul, S. (2023). SWYNT: Swin Y-Net Transformers for Deepfake Detection. 2023 International Conference on Robotics and Automation in Industry, ICRAI 2023. https://doi.org/10.1109/ICRAI57502.2023.10089585

Harvard

Khalid, F., Akbar, M.H. and Gul, S. (2023) 'SWYNT: Swin Y-Net Transformers for Deepfake Detection', 2023 International Conference on Robotics and Automation in Industry, ICRAI 2023. doi: 10.1109/ICRAI57502.2023.10089585.

IEEE

F. Khalid, M. H. Akbar, and S. Gul, "SWYNT: Swin Y-Net Transformers for Deepfake Detection," 2023 International Conference on Robotics and Automation in Industry, ICRAI 2023, 2023. doi: 10.1109/ICRAI57502.2023.10089585.

Vancouver

Khalid F, Akbar MH, Gul S. SWYNT: Swin Y-Net Transformers for Deepfake Detection. 2023 International Conference on Robotics and Automation in Industry, ICRAI 2023. 2023. doi: 10.1109/ICRAI57502.2023.10089585.

MLA

Khalid, Fatima, et al.. "SWYNT: Swin Y-Net Transformers for Deepfake Detection." 2023 International Conference on Robotics and Automation in Industry, ICRAI 2023, 2023. https://doi.org/10.1109/ICRAI57502.2023.10089585.

Chicago

Khalid, F., Akbar, M. H., Gul, S.. "SWYNT: Swin Y-Net Transformers for Deepfake Detection." 2023 International Conference on Robotics and Automation in Industry, ICRAI 2023 (2023). https://doi.org/10.1109/ICRAI57502.2023.10089585.

BibTeX

@inproceedings{khalid2023, title={SWYNT: Swin Y-Net Transformers for Deepfake Detection}, author={Khalid, Fatima and Akbar, Muhammad Haseed and Gul, Shehla}, booktitle={2023 International Conference on Robotics and Automation in Industry, ICRAI 2023}, year={2023}, doi={10.1109/ICRAI57502.2023.10089585}, }

Book 2023 Cited by 8
Fatima Khalid, Ali Javed, Aun Irtaza, Khalid Mahmood Malik — Lecture Notes in Networks and Systems — DOI: 10.1007/978-981-19-9331-2_20
Cite this publication
APA

Khalid, F., Javed, A., Irtaza, A., & Malik, K. M. (2023). Deepfakes Catcher: A Novel Fused Truncated DenseNet Model for Deepfakes Detection. Lecture Notes in Networks and Systems. https://doi.org/10.1007/978-981-19-9331-2_20

Harvard

Khalid, F., Javed, A., Irtaza, A. and Malik, K.M. (2023) 'Deepfakes Catcher: A Novel Fused Truncated DenseNet Model for Deepfakes Detection', Lecture Notes in Networks and Systems. doi: 10.1007/978-981-19-9331-2_20.

IEEE

F. Khalid, A. Javed, A. Irtaza, and K. M. Malik, "Deepfakes Catcher: A Novel Fused Truncated DenseNet Model for Deepfakes Detection," Lecture Notes in Networks and Systems, 2023. doi: 10.1007/978-981-19-9331-2_20.

Vancouver

Khalid F, Javed A, Irtaza A, Malik KM. Deepfakes Catcher: A Novel Fused Truncated DenseNet Model for Deepfakes Detection. Lecture Notes in Networks and Systems. 2023. doi: 10.1007/978-981-19-9331-2_20.

MLA

Khalid, Fatima, et al.. "Deepfakes Catcher: A Novel Fused Truncated DenseNet Model for Deepfakes Detection." Lecture Notes in Networks and Systems, 2023. https://doi.org/10.1007/978-981-19-9331-2_20.

Chicago

Khalid, F., Javed, A., Irtaza, A., Malik, K. M.. "Deepfakes Catcher: A Novel Fused Truncated DenseNet Model for Deepfakes Detection." Lecture Notes in Networks and Systems (2023). https://doi.org/10.1007/978-981-19-9331-2_20.

BibTeX

@book{khalid2023, title={Deepfakes Catcher: A Novel Fused Truncated DenseNet Model for Deepfakes Detection}, author={Khalid, Fatima and Javed, Ali and Irtaza, Aun and Malik, Khalid Mahmood}, journal={Lecture Notes in Networks and Systems}, year={2023}, doi={10.1007/978-981-19-9331-2_20}, }

Journal 2023 Cited by 56
Fatima Khalid, Ali Javed, Qurat-ul ain, Hafsa Ilyas, Aun Irtaza — Expert Systems with Applications — DOI: 10.1016/j.eswa.2023.119843
Cite this publication
APA

Khalid, F., Javed, A., ain, Q. U., Ilyas, H., & Irtaza, A. (2023). DFGNN: An interpretable and generalized graph neural network for deepfakes detection. Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2023.119843

Harvard

Khalid, F., Javed, A., ain, Q.U., Ilyas, H. and Irtaza, A. (2023) 'DFGNN: An interpretable and generalized graph neural network for deepfakes detection', Expert Systems with Applications. doi: 10.1016/j.eswa.2023.119843.

IEEE

F. Khalid, A. Javed, Q. U. ain, H. Ilyas, and A. Irtaza, "DFGNN: An interpretable and generalized graph neural network for deepfakes detection," Expert Systems with Applications, 2023. doi: 10.1016/j.eswa.2023.119843.

Vancouver

Khalid F, Javed A, ain QU, Ilyas H, Irtaza A. DFGNN: An interpretable and generalized graph neural network for deepfakes detection. Expert Systems with Applications. 2023. doi: 10.1016/j.eswa.2023.119843.

MLA

Khalid, Fatima, et al.. "DFGNN: An interpretable and generalized graph neural network for deepfakes detection." Expert Systems with Applications, 2023. https://doi.org/10.1016/j.eswa.2023.119843.

Chicago

Khalid, F., Javed, A., ain, Q. U., Ilyas, H., Irtaza, A.. "DFGNN: An interpretable and generalized graph neural network for deepfakes detection." Expert Systems with Applications (2023). https://doi.org/10.1016/j.eswa.2023.119843.

BibTeX

@article{khalid2023, title={DFGNN: An interpretable and generalized graph neural network for deepfakes detection}, author={Khalid, Fatima and Javed, Ali and ain, Qurat-ul and Ilyas, Hafsa and Irtaza, Aun}, journal={Expert Systems with Applications}, year={2023}, doi={10.1016/j.eswa.2023.119843}, }

Conference 2022 Cited by 0
Rafia Ahsan, Iram Shahzadi, Ibtisam Aslam, Hammad Omer — ISMRM Annual Meeting — DOI: 10.58530/2022/2228
Cite this publication
APA

Ahsan, R., Shahzadi, I., Aslam, I., & Omer, H. (2022). A Framework for Brain Tumor Detection, Classification and Segmentation using Deep Learning. ISMRM Annual Meeting. https://doi.org/10.58530/2022/2228

Harvard

Ahsan, R., Shahzadi, I., Aslam, I. and Omer, H. (2022) 'A Framework for Brain Tumor Detection, Classification and Segmentation using Deep Learning', ISMRM Annual Meeting. doi: 10.58530/2022/2228.

IEEE

R. Ahsan, I. Shahzadi, I. Aslam, and H. Omer, "A Framework for Brain Tumor Detection, Classification and Segmentation using Deep Learning," ISMRM Annual Meeting, 2022. doi: 10.58530/2022/2228.

Vancouver

Ahsan R, Shahzadi I, Aslam I, Omer H. A Framework for Brain Tumor Detection, Classification and Segmentation using Deep Learning. ISMRM Annual Meeting. 2022. doi: 10.58530/2022/2228.

MLA

Ahsan, Rafia, et al.. "A Framework for Brain Tumor Detection, Classification and Segmentation using Deep Learning." ISMRM Annual Meeting, 2022. https://doi.org/10.58530/2022/2228.

Chicago

Ahsan, R., Shahzadi, I., Aslam, I., Omer, H.. "A Framework for Brain Tumor Detection, Classification and Segmentation using Deep Learning." ISMRM Annual Meeting (2022). https://doi.org/10.58530/2022/2228.

BibTeX

@inproceedings{ahsan2022, title={A Framework for Brain Tumor Detection, Classification and Segmentation using Deep Learning}, author={Ahsan, Rafia and Shahzadi, Iram and Aslam, Ibtisam and Omer, Hammad}, booktitle={ISMRM Annual Meeting}, year={2022}, doi={10.58530/2022/2228}, }

Journal 2022 Cited by 0
Adriana Cadrazco
Cite this publication
APA

Cadrazco, A. (2022). Transforma tu idea de negocio, aspectos básicos: Una guía práctica.

Harvard

Cadrazco, A. (2022) 'Transforma tu idea de negocio, aspectos básicos: Una guía práctica'.

IEEE

A. Cadrazco, "Transforma tu idea de negocio, aspectos básicos: Una guía práctica," 2022.

Vancouver

Cadrazco A. Transforma tu idea de negocio, aspectos básicos: Una guía práctica. 2022.

MLA

Cadrazco, Adriana. "Transforma tu idea de negocio, aspectos básicos: Una guía práctica." 2022.

Chicago

Cadrazco, A.. "Transforma tu idea de negocio, aspectos básicos: Una guía práctica." (2022).

BibTeX

@article{cadrazco2022, title={Transforma tu idea de negocio, aspectos básicos: Una guía práctica}, author={Cadrazco, Adriana}, year={2022}, }

Journal 2022 Cited by 16
Md. Abdul Alim Sheikh, Tanmoy Maity, Alok Kole — IEEE Access — DOI: 10.1109/ACCESS.2022.3164401
Cite this publication
APA

Sheikh, M. A. A., Maity, T., & Kole, A. (2022). IRU-Net: An Efficient End-to-End Network for Automatic Building Extraction From Remote Sensing Images. IEEE Access. https://doi.org/10.1109/ACCESS.2022.3164401

Harvard

Sheikh, M.A.A., Maity, T. and Kole, A. (2022) 'IRU-Net: An Efficient End-to-End Network for Automatic Building Extraction From Remote Sensing Images', IEEE Access. doi: 10.1109/ACCESS.2022.3164401.

IEEE

M. A. A. Sheikh, T. Maity, and A. Kole, "IRU-Net: An Efficient End-to-End Network for Automatic Building Extraction From Remote Sensing Images," IEEE Access, 2022. doi: 10.1109/ACCESS.2022.3164401.

Vancouver

Sheikh MAA, Maity T, Kole A. IRU-Net: An Efficient End-to-End Network for Automatic Building Extraction From Remote Sensing Images. IEEE Access. 2022. doi: 10.1109/ACCESS.2022.3164401.

MLA

Sheikh, Md. Abdul Alim, et al.. "IRU-Net: An Efficient End-to-End Network for Automatic Building Extraction From Remote Sensing Images." IEEE Access, 2022. https://doi.org/10.1109/ACCESS.2022.3164401.

Chicago

Sheikh, M. A. A., Maity, T., Kole, A.. "IRU-Net: An Efficient End-to-End Network for Automatic Building Extraction From Remote Sensing Images." IEEE Access (2022). https://doi.org/10.1109/ACCESS.2022.3164401.

BibTeX

@article{sheikh2022, title={IRU-Net: An Efficient End-to-End Network for Automatic Building Extraction From Remote Sensing Images}, author={Sheikh, Md. Abdul Alim and Maity, Tanmoy and Kole, Alok}, journal={IEEE Access}, year={2022}, doi={10.1109/ACCESS.2022.3164401}, }

Journal 2022 Cited by 0
Md. Abdul Alim Sheikh — IAENG International Journal of Applied Mathematics
Cite this publication
APA

Sheikh, M. A. A. (2022). Deep Learning Approach using Patch-based Deep Belief Network for Road Extraction from Remote Sensing Imagery. IAENG International Journal of Applied Mathematics.

Harvard

Sheikh, M.A.A. (2022) 'Deep Learning Approach using Patch-based Deep Belief Network for Road Extraction from Remote Sensing Imagery', IAENG International Journal of Applied Mathematics.

IEEE

M. A. A. Sheikh, "Deep Learning Approach using Patch-based Deep Belief Network for Road Extraction from Remote Sensing Imagery," IAENG International Journal of Applied Mathematics, 2022.

Vancouver

Sheikh MAA. Deep Learning Approach using Patch-based Deep Belief Network for Road Extraction from Remote Sensing Imagery. IAENG International Journal of Applied Mathematics. 2022.

MLA

Sheikh, Md. Abdul Alim. "Deep Learning Approach using Patch-based Deep Belief Network for Road Extraction from Remote Sensing Imagery." IAENG International Journal of Applied Mathematics, 2022.

Chicago

Sheikh, M. A. A.. "Deep Learning Approach using Patch-based Deep Belief Network for Road Extraction from Remote Sensing Imagery." IAENG International Journal of Applied Mathematics (2022).

BibTeX

@article{sheikh2022, title={Deep Learning Approach using Patch-based Deep Belief Network for Road Extraction from Remote Sensing Imagery}, author={Sheikh, Md. Abdul Alim}, journal={IAENG International Journal of Applied Mathematics}, year={2022}, }

Book 2022 Cited by 6
Riman Mandal, Sourav Banerjee, Md Bagbul Islam, Pushpita Chatterjee, Utpal Biswas — Internet of Things — DOI: 10.1007/978-3-030-81473-1_14
Cite this publication
APA

Mandal, R., Banerjee, S., Islam, M. B., Chatterjee, P., & Biswas, U. (2022). QoS and Energy Efficiency Using Green Cloud Computing. Internet of Things. https://doi.org/10.1007/978-3-030-81473-1_14

Harvard

Mandal, R., Banerjee, S., Islam, M.B., Chatterjee, P. and Biswas, U. (2022) 'QoS and Energy Efficiency Using Green Cloud Computing', Internet of Things. doi: 10.1007/978-3-030-81473-1_14.

IEEE

R. Mandal, S. Banerjee, M. B. Islam, P. Chatterjee, and U. Biswas, "QoS and Energy Efficiency Using Green Cloud Computing," Internet of Things, 2022. doi: 10.1007/978-3-030-81473-1_14.

Vancouver

Mandal R, Banerjee S, Islam MB, Chatterjee P, Biswas U. QoS and Energy Efficiency Using Green Cloud Computing. Internet of Things. 2022. doi: 10.1007/978-3-030-81473-1_14.

MLA

Mandal, Riman, et al.. "QoS and Energy Efficiency Using Green Cloud Computing." Internet of Things, 2022. https://doi.org/10.1007/978-3-030-81473-1_14.

Chicago

Mandal, R., Banerjee, S., Islam, M. B., Chatterjee, P., Biswas, U.. "QoS and Energy Efficiency Using Green Cloud Computing." Internet of Things (2022). https://doi.org/10.1007/978-3-030-81473-1_14.

BibTeX

@book{mandal2022, title={QoS and Energy Efficiency Using Green Cloud Computing}, author={Mandal, Riman and Banerjee, Sourav and Islam, Md Bagbul and Chatterjee, Pushpita and Biswas, Utpal}, journal={Internet of Things}, year={2022}, doi={10.1007/978-3-030-81473-1_14}, }