Adaptive noise risk modelling: fuzzy logic approach

Author:

De Sujit Kumar1,Swain Bijay Kumar2,Goswami Shreerup3,Das Madhumita4

Affiliation:

1. Department of Mathematics, Midnapore College (Autonomous), Midnapore, India

2. Department of Botany (Environmental Science), Utkal University, Bhubaneswar, India

3. Department of Geology, Ravenshaw University, Cuttack, India

4. Department of Geology, Utkal University, Bhubaneswar, India

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Control and Optimization,Control and Systems Engineering

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1. Health effects of noise and application of machine learning techniques as prediction tools in noise induced health issues: a systematic review;Environmental and Ecological Statistics;2024-08-01

2. Using the WASPAS and SA Techniques to Analyze Risks in a Noisy Environment Qualitatively—A Case Study of Different Manufacturing Industries Near Bhubaneswar;Automation and Innovation with Computational Techniques for Futuristic Smart, Safe and Sustainable Manufacturing Processes;2023-11-23

3. Effect of Traffic Composition on Environmental Noise and Development of Noise Map of Roadside School, Colleges, and Hospital Buildings;Recent Advances in Traffic Engineering;2023-10-29

4. Impact of noise on human hearing health in a noisy environment using simulated annealing algorithm;International Journal of System Assurance Engineering and Management;2023-09-24

5. Soundscape of an eastern coastal city of India;Environmental Science and Pollution Research;2023-07-18

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