To understand an extensive, complex physical system, thinkers break it up into smaller components and try to understand the properties of the most minor microscopic components. This method helps us understand many complicated things around us, and has helped us solve a lot of real-world problems.
आयआयटी मुंबईद्वारे विकसित नवीन डीप-लर्निंग फ्रेमवर्क SpADANet (स्पाडानेट) मर्यादित लेबल्स वापरूनही अनेक चक्रीवादळांमधील संरचनात्मक नुकसान अधिक अचूकपणे वर्गीकृत करू शकते.
Mumbai/