Výsledky vyhledávání - "Madheshwaran, L."

Akademický článek

Vision based Detection and Categorization of Skin lesions using Deep Learning Neural networks

Autor: Srividhya, V., Sujatha, K., Ponmagal, R.S., Durgadevi, G., Madheshwaran, L., V.

Publikováno v: In Procedia Computer Science 2020 171:1726-1735

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Akademický článek

Grid-Based Structural and Dimensional Skin Cancer Classification with Self-Featured Optimized Explainable Deep Convolutional Neural Networks.

Autor: Behara, Kavita¹ (AUTHOR) beharak@mut.ac.za, Bhero, Ernest² (AUTHOR) ageej@ukzn.ac.za, Agee, John Terhile² (AUTHOR)

Publikováno v: International Journal of Molecular Sciences. Feb2024, Vol. 25 Issue 3, p1546. 26p.

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Akademický článek

Couplet Analysis of Linguistic Topology Using Deep Neural Networks in Cognitive Linguistics.

Autor: Zhu, Dongmei¹ (AUTHOR), Wang, Nan² (AUTHOR), Yang, Fuqiang³ (AUTHOR)

Publikováno v: Computational Intelligence & Neuroscience. 10/11/2022, p1-9. 9p.

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Akademický článek

State-of-the-Art Challenges and Perspectives in Multi-Organ Cancer Diagnosis via Deep Learning-Based Methods.

Autor: Ali, Saqib, Li, Jianqiang, Pei, Yan, Khurram, Rooha, Rehman, Khalil ur, Rasool, Abdul Basit

Publikováno v: Cancers; Nov2021, Vol. 13 Issue 21, p5546, 1p

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Elektronická kniha

Advancements in Smart Computing and Information Security : Second International Conference, ASCIS 2023, Rajkot, India, December 7–9, 2023, Revised Selected Papers, Part II

Autor: Sridaran Rajagopal, Kalpesh Popat, Divyakant Meva, Sunil Bajeja

This 4-volume CCIS post-conference set represents the proceedings of the Second International Conference on Advances in Smart Computing and Information Security, ASCIS 2023, in Rajkot, Gujarat, India, December 2023. The 91 full papers and 36 short pa

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Elektronická kniha

Swarm Intelligence and Machine Learning : Applications in Healthcare

Autor: Shikha Agarwal, Manish Gupta, Jitendra Agrawal, Dac-Nhuong Le, Kamlesh Kumar Gupta

Today the healthcare sector is facing challenges such as detecting the cause of ailments, disease prevention, high operating costs, availability of skilled technicians and infrastructure bottlenecks. Intelligent healthcare management technologies are

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