Authors :
Junaid Dawood Momin; Zaid Bin Saeed
Volume/Issue :
Volume 9 - 2024, Issue 11 - November
Google Scholar :
https://tinyurl.com/yv47erxx
Scribd :
https://tinyurl.com/7y6bfycz
DOI :
https://doi.org/10.5281/zenodo.14355670
Abstract :
Deep Learning has emerged as a game-
changing technology for data visualization, revolutionizing
how we view and interact with complicated information.
This essay delves into the fundamentals of Deep Learning,
its effectiveness in data visualization, and its outstanding
accomplishments in computing visualization. This essay
explains Deep Learning’s tremendous influence on
information representation and interpretation by delving
into its workings, with a special emphasis on its use in
picture identification for data visualization.
Keywords :
Deep Learning | Data Visualisation | Artificial Intelligence | Machine Learning | Neural Network | Predictions | Pattern Recognition | Convolutional Neural Networks (CNNs) | Natural Language Processing (NLP).
References :
- Francis Quintal Lauzon - An introduction to deep learning, "2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA)", DOI 10.1109/ISSPA.2012.6310529
- Mohammad T. Abou-Kreisha,Humam K. Yaseen,Khaled A. Fathy, Ebeid A. Ebeid and Kamal A. ElDahshan - Multisource Smart Computer-Aided System for Mining COVID-
- 19 Infection Data, Healthcare 2022, 10(1), 109;
- S. Suganyadevi, V. Seethalakshmi & K. Balasamy - A review on deep learning in medical image analysis, Int J Multimed Info Retr 11, 19–38 (2022). https://doi.org/10.1007/s13735-021-00218-1
- Ma, J., He, Y., Li, F. et al. Segment anything in medical images. Nat Commun 15, 654 (2024). https://doi.org/10.1038/s41467-024-44824-z
- Khalifa, Ali Badr, Eman. (2023). Deep Learning for Image Segmentation: A Focus on Medical Imaging. Computers, Materials and Continua. 75. 1995-2024. 10.32604/cmc.2023.035888.
- Moorthy, Jayashree Gandhi, Usha. (2022). A Survey on Medical Image Segmentation Based on Deep Learning Techniques. 10.3390/bdcc6040117.
- Tang, M., Valipour, S., Zhang, V., Cobzas, D. and Jagersand, M. A deep level set method for image segmentation, DLMIA@MICCAI2014
- https://developer.ibm.com/learningpaths/get-startedwith-deep-learning/an-introduction-to-deep-learning/
- https://aws.amazon.com/what-is/deep-learning/
- https://www.geeksforgeeks.org/introduction-deeplearning/
- https://en.wikipedia.org/wiki/Deep_learning
- https://paperswithcode.com/sota
- https://www.mdpi.com/topics/Medical_Image_Analysis
- https://roboticsbiz.com/autonomous-vehiclespotential-benefits-challenges-and-risks/
- https://carbuzz.com/features/self-driving-cars/
- https://viso.ai/deep-learning/image-segmentationusing-deep-learning/
- https://www.mdpi.com/2227-9032/10/1/109
- https://www.pinterest.co.uk/pin/522136150553446130/
- https://tinyurl.com/mr48y3t5
Deep Learning has emerged as a game-
changing technology for data visualization, revolutionizing
how we view and interact with complicated information.
This essay delves into the fundamentals of Deep Learning,
its effectiveness in data visualization, and its outstanding
accomplishments in computing visualization. This essay
explains Deep Learning’s tremendous influence on
information representation and interpretation by delving
into its workings, with a special emphasis on its use in
picture identification for data visualization.
Keywords :
Deep Learning | Data Visualisation | Artificial Intelligence | Machine Learning | Neural Network | Predictions | Pattern Recognition | Convolutional Neural Networks (CNNs) | Natural Language Processing (NLP).