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DCSNN optimized with hybrid Border Collie optimization and Archimedes optimization algorithms for solid waste prediction in Chennai

Vidya Soundarapandian, Janani Elangeswaran Srie Vidhya, Sreedevi B.

Environment Protection Engineering

2024

Vol. 50, nr 1

5--25

The rapid growth of smart cities and industry causes an increase in waste production. The amount of municipal solid waste (MSW) increases by several factors, including population growth, economic status, and consumption trends. The inadequacy of basic trash data is a major issue for managing MSW. Numerous existing models based on solid waste prediction have been presented so far, but none of them predict solid waste accurately and also it consumes more time. To address these concerns, a deep convolutional spiking neural network for solid waste prediction (DCSNN-SWP) is proposed in this paper. Here, the real-time solid waste prediction data are gathered from the quantity of municipal corporation of Chennai (MCC), landfill, garden garbage, and coconut shell reports in Tamil Nadu (Chennai), such as Zone 9 (Nungambakkam), Zone 10 (Kodambakkam) and Zone 13 (Adyar). Then the collected solid waste data are pre-processed using the kernel correlation model. Then the pre-processing data is given to DCSNN-hybrid BCMO and Archimedes optimization algorithm which accurately predicts the solid waste as wet waste, dry waste, horticulture waste, and dumping yard for 2022-2032 years. The proposed DCSNN-SWP method has been implemented in Python.

A diagnosis of nutritional awareness and habits of polish consumers – the pilot

Dymkowska-Malesa Maria, Suwała Grzegorz

Scientific Journal of Gdynia Maritime University

2023

nr 126

7--18

A rational diet is of particular importance today. The increasing pace of life and intensive work are important factors determining the quality of nutrition. Nutritional awareness is one of the main determinants of the appropriate diet. In order to understand the subtleties of the definition and essence of nutritional awareness, it is necessary to realise its close relationship with lifestyle, health, economic status and mass culture. The aim of the study was to assess the awareness and nutritional behaviour of Polish consumers. The research was carried out using the diagnostic survey method, I.e. the author’s questionnaire. The research has shown that the respondents know the principles of rational nutrition, although they do not always adhere to them, and the choice of food products is largely determined by the price and brand of the product. Respondents are familiar with the concept of “nutritional awareness” and believe that it has a huge impact on health.