IIT Bombay’s new deep learning framework, named SpADANet, enhances damage classification accuracy using limited labels across multiple hurricanes.
Researchers have used global El Niño-Southern Oscillation data to predict extreme rain events and their frequency using convolutional neural networks
Researchers have found that the variability in venom composition of the Russel’s Viper may be tied, in part, to local climate conditions.
A long-term study reveals encouraging trends for marine turtles in Odisha, Andaman and Nicobar, and the Lakshadweep Islands, while climate change and ecological shifts pose new conservation challenges across India's coasts.
Researchers rediscovered the ancient velvet worm species Typhloperipatus williamsoni from Arunachal Pradesh and mapped its evolutionary tree.
New research shines light on the critical pressures endangering static water bodies as cities sprawl outwards.
Researchers use drones and 3D modeling to accurately track the growth of Victoria amazonica without getting their feet wet.
A new study has examined this vast lignite deposit more closely, not only for its energy potential but also to learn about the mine’s distant past.
A sustainable and resilient method to reduce wave forces and debris impact during extreme tsunami and coastal flood events
Research has delved into lightning in North India (NI) and North-East India (NEI), discovering how land use and topography might predict when and where these electrical bursts will occur.
Researchers at IISc set out to test the hypothesis that well-fed animals are risk-averse by studying how rock agamas (Psammophilus dorsalis) make foraging decisions.