Provide a waste management pattern using quantum algorithm
One of the most important strategies for proper waste management, which is currently the first priority in urban waste management in many countries, is cost management and waste segregation in order to generate revenue. Leading research using statistics related to resident population, waste generation and segregation and with the help of quantum algorithm, has provided a model for waste management in different areas of Tehran's 4th district during different months of 1996.District 7 with more than 182,000 people and District 8 with more than 52,000 people are the most populous and least populated areas in Region 4, respectively. District 7 in 1996, with a waste production of more than 4 tons, had the highest amount of waste production among the nine districts of Region 4, so that it alone produced more than 3 times more waste than District 9.On average, it can be said that in 1996, approximately 23.15% of the total waste in District 4 of Tehran was collected separately. In the same year, District 7 with 23.73% was the best district and District 6 with 15.34% was the least efficient district in this field.
-
Financial bankruptcy prediction using artificial neural network and Firefly algorithms in companies listed in Tehran Stock Exchange
Mehdi Heidary, Shokrollah Ziari *, Seyyed Ahmad Shayannia, Alireza Rashidi Komijan
International Journal Of Nonlinear Analysis And Applications, Aug 2025 -
Modeling the automotive industry with the approach of increasing and improving productivity in Iran's non-oil exports using a dynamic system
Seyed Jaber Hosseini, Mohammad Mehdi Movahedi *, Amir Ghulam Abri, Seyed Ahmad Shayan Nia
Journal of Quality Engineering and Management, Spring 2024