المؤلفون: Kumari, Bersha¹ (AUTHOR), Nandal, Amita² (AUTHOR) amita_nandal@yahoo.com, Dhaka, Arvind¹ (AUTHOR)

المصدر: Computational Intelligence. Jun2024, Vol. 40 Issue 3, p1-21. 21p.

مصطلحات موضوعية: BREAST, IMAGE fusion, MAGNETIC resonance imaging, BREAST tumors, COMPUTED tomography, IMAGE segmentation

المؤلفون: Zhou, Liang, Alenezi, Fayadh S., Nandal, Amita, Dhaka, Arvind, Wu, Tao, Polat, Kemal

المساهمون: BAİBÜ, Mühendislik Fakültesi, Elektrik Elektronik Mühendisliği Bölümü, orcid:0000-0003-4782-0420, Polat, Kemal

مصطلحات موضوعية: Caputo Differential Operator, Discrete Wavelet Transform, Fractional Derivative, Fractional-Order Differentiation, Histogram Equalization, Edge

وصف الملف: application/pdf

العلاقة: Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı; Applied Intelligence; Zhou, L., Alenezi, F. S., Nandal, A., Dhaka, A., Wu, T., Koundal, D., . & Polat, K. (2023). Fusion of overexposed and underexposed images using caputo differential operator for resolution and texture based enhancement. Applied Intelligence, 53(12), 15836-15854.; WOS:000890125400003; http://dx.doi.org/10.1007/s10489-022-04344-zTest; https://hdl.handle.net/20.500.12491/11782Test; 53; 12; 15836; 15854

الإتاحة: https://doi.org/20.500.12491/11782Test
https://doi.org/10.1007/s10489-022-04344-zTest
https://hdl.handle.net/20.500.12491/11782Test

المؤلفون: Jakhar, Shyo Prakash, Nandal, Amita, Dhaka, Arvind, Alhudhaif, Adi, Polat, Kemal

المصدر: Applied Soft Computing ; volume 153, page 111284 ; ISSN 1568-4946

مصطلحات موضوعية: Software

الإتاحة: https://doi.org/10.1016/j.asoc.2024.111284Test
https://api.elsevier.com/content/article/PII:S1568494624000589?httpAccept=text/xmlTest
https://api.elsevier.com/content/article/PII:S1568494624000589?httpAccept=text/plainTest

المؤلفون: Zhou, Liang, Alenezi, Fayadh S., Nandal, Amita, Dhaka, Arvind, Wu, Tao, Koundal, Deepika, Alhudhaif, Adi, Polat, Kemal

المساهمون: Foundation of National Key R&D Program of China, National Natural Science Foundation of China, Foundation of Shanghai Municipal Commission of Economy and Informatization, Construction Project of Shanghai Public Health System Construction, DST, New Delhi

المصدر: Applied Intelligence ; volume 53, issue 12, page 15836-15854 ; ISSN 0924-669X 1573-7497

مصطلحات موضوعية: Artificial Intelligence

الإتاحة: https://doi.org/10.1007/s10489-022-04344-zTest

المؤلفون: Karadimce, Aleksandar, Paunkoska Dimoska, Natasa, Capeska Bogatinoska, Dijana, Marina, Ninoslav, Nandal, Amita

مصطلحات موضوعية: Guided Analytics, Data Aggregation, Geospatial, Temporal, Augmented Cognitive, Microservices, Social Media

العلاقة: info:eu-repo/grantAgreement/EC/H2020/825134/; https://zenodo.org/record/4109168Test; https://doi.org/10.1007/978-981-15-6067-5_59Test; oai:zenodo.org:4109168

الإتاحة: https://doi.org/10.1007/978-981-15-6067-5_59Test
https://zenodo.org/record/4109168Test

المؤلفون: Dhaka, Arvind, Nandal, Amita, Rosales, Hamurabi Gamboa, Malik, Hasmat, Monteagudo, Francisco Eneldo Lopez, Martinez-Acuna, Monica I., Singh, Satyendra

المساهمون: Universidad Autonoma de Zacatecas, Mexico, through the Consejo Nacional de Ciencia y Tecnología (CONACYT) Mexico

المصدر: IEEE Access ; volume 9, page 132168-132190 ; ISSN 2169-3536

الإتاحة: https://doi.org/10.1109/access.2021.3113857Test
http://xplorestaging.ieee.org/ielx7/6287639/9312710/09540856.pdf?arnumber=9540856Test

المؤلفون: Kumar, Dhanesh, Joshi, Anand B., Singh, Sonali, Mishra, Vishnu Narayan, Rosales, Hamurabi Gamboa, Zhou, Liang, Dhaka, Arvind, Nandal, Amita, Malik, Hasmat, Singh, Satyendra

المساهمون: Universidad Autonoma de Zacatecas, Mexico, through the Consejo Nacional de Ciencia y Tecnología (CONACYT) Mexico and the Foundation of National Key Research and Development Program of China, National Natural Science Foundation of China, Foundation of Shanghai Municipal Commission of Economy and Informatization, Foundation of Shanghai Jiao Tong University, Council of Scientific and Industrial Research, New Delhi, India

المصدر: IEEE Access ; volume 9, page 103056-103074 ; ISSN 2169-3536

الإتاحة: https://doi.org/10.1109/access.2021.3097881Test
http://xplorestaging.ieee.org/ielx7/6287639/9312710/09489279.pdf?arnumber=9489279Test

المؤلفون: Zhou, Liang, Dhaka, Arvind, Malik, Hasmat, Nandal, Amita, Singh, Satyendra, Wu, Tao

المساهمون: Foundation of National Key Research and Development Program of China, National Natural Science Foundation of China, Foundation of Shanghai Municipal Commission of Economy and Informatization, three-year action plan for the Key Discipline Construction Project of Shanghai Public Health System Construction

المصدر: IEEE Access ; volume 9, page 109012-109024 ; ISSN 2169-3536

الإتاحة: https://doi.org/10.1109/access.2021.3101413Test
http://xplorestaging.ieee.org/ielx7/6287639/9312710/09502102.pdf?arnumber=9502102Test

المؤلفون: Sharma, Arpit Kumar, Nandal, Amita, Dhaka, Arvind, Polat, Kemal, Alwadie, Raghad, Alenezi, Fayadh

المساهمون: BAİBÜ, Mühendislik Fakültesi, Elektrik Elektronik Mühendisliği Bölümü, orcid:0000-0002-3929-4523, orcid:0000-0003-4782-0420, orcid:0000-0003-1150-2690, orcid:0000-0003-1840-9958, Polat, Kemal

مصطلحات موضوعية: Brain Tumor Diagnosis, Modified ResNet50, HOG Technique, Convolutional Neural-Networks, Segmentation, Fusion

وصف الملف: application/pdf

العلاقة: Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı; Biomedical Signal Processing and Control; Sharma, A. K., Nandal, A., Dhaka, A., Polat, K., Alwadie, R., Alenezi, F., & Alhudhaif, A. (2023). HOG transformation based feature extraction framework in modified Resnet50 model for brain tumor detection. Biomedical Signal Processing and Control, 84, 104737.; WOS:000949986900001; http://dx.doi.org/10.1016/j.bspc.2023.104737Test; https://hdl.handle.net/20.500.12491/11648Test; 84; 12

الإتاحة: https://doi.org/20.500.12491/11648Test
https://doi.org/10.1016/j.bspc.2023.104737Test
https://hdl.handle.net/20.500.12491/11648Test

المؤلفون: Zhou, Liang, Alenezi, Fayadh S., Nandal, Amita, Dhaka, Arvind, Wu, Tao, Koundal, Deepika, Alhudhaif, Adi, Polat, Kemal

المصدر: Applied Intelligence ; volume 53, issue 14, page 18106-18106 ; ISSN 0924-669X 1573-7497

مصطلحات موضوعية: Artificial Intelligence

الإتاحة: https://doi.org/10.1007/s10489-022-04404-4Test