Machine Learning
Proposal Grants
https://www.drdo.gov.in/aeronautics-research-development/rules-grants-introductions
https://dst.gov.in/call-for-proposals
https://onlinedst.gov.in/Projectproposalformat.aspx
https://www.isro.gov.in/capacity-building/research-grants
Project ideas
https://www.sih.gov.in/sih2020PS
https://projectabstracts.com/100-matlab-project-topics-with-free-downloads#ImageProcessing
http://yarpiz.com/category/machine-learning
http://cs229.stanford.edu/projects2016.html
https://hectorcarrion.com/home/vesta
https://www.kaggle.com/c/image-classification6
https://github.com/pliang279/awesome-multimodal-ml
https://www.youtube.com/results?search_query=lego+mindstorms+ev3
GIS + ML ideas
https://docs.google.com/document/d/1XzkpI8eKacil-p8h4rtjmKUT1zRdWh5kXvBcI9LIZkA/edit?usp=sharing
Disaster Management:
Incident dataset - https://data.world/datasets/incidents
https://github.com/Dong-UTIL/Natural-Hazards-Twitter-Dataset (*40 thousand tweets labelled data)
https://github.com/ethanweber/IncidentsDataset
https://venturebeat.com/2020/08/28/researchers-built-a-data-set-for-training-ai-to-detect-natural-disasters-from-social-media-images/
https://paperswithcode.com/paper/detecting-natural-disasters-damage-and
https://www.emdat.be/classification
Datasets: California wildfire dataset, Indian Flood dataset, Italy and Nepal earthquake datasets
Recent good papers:
Madichetty, Sreenivasulu, and M. Sridevi. "A novel method for identifying the damage assessment tweets during disaster." Future Generation Computer Systems 116 (2021): 440-454.
Roy, Pradeep Kumar, et al. "Disaster related social media content processing for sustainable cities." Sustainable Cities and Society (2021): 103363.
Dong, Zhijie Sasha, et al. "Social media information sharing for natural disaster response." Natural Hazards (2021): 1-28. (*40 thousand tweets dataset)
Dr. Sreenivasulu Madichetty
https://scholar.google.com/citations?hl=en&user=HskBEu0AAAAJ&view_op=list_works&sortby=pubdate
Image fog datasets
https://sites.google.com/view/reside-dehaze-datasets
https://paperswithcode.com/task/image-dehazing
https://www.kaggle.com/dm4006/hazeremoval
https://ieee-dataport.org/documents/hazerd-outdoor-dataset-dehazing-algorithms
http://people.ee.ethz.ch/~csakarid/SFSU_synthetic/
http://perso.lcpc.fr/tarel.jean-philippe/bdd/frida.html
Excel for Data Analysis
Pivot Tables - https://www.excel-easy.com/data-analysis/pivot-tables.html
VLookUp Function - https://www.excel-easy.com/examples/vlookup.html
MATLAB codes
https://www.mathworks.com/matlabcentral/fileexchange/
PYTHON basics (Google Colabs)
https://www.youtube.com/playlist?list=PLQY2H8rRoyvyK5aEDAI3wUUqC_F0oEroL
Image classification - https://www.youtube.com/watch?v=SthHWgkN3Wk
Upload files - https://www.youtube.com/watch?v=oqMImCeXi6o
Deep Learning - basics
https://www.youtube.com/watch?v=2-Ol7ZB0MmU&t=1639s
Convolutional neural networks: an overview and application in radiology
Convolutional Neural Networks (CNNs): An Illustrated Explanation