Population growth and economic development have brought a high increase in the generation of municipal solid waste (MSW). The aim this study is to determine characterization rural parish Ecuadorian Amazon. A survey was applied random sampling carried out 51 households. results obtained determined that 0.51 kg cap-1 day-1 apparent density 191.86 m-3. different types generated were characterized,...

Solid waste management can have significant positive and negative implications to the physical, social economic environment these are function of options adopted. The quantity character generated changes with time understanding properties in a locality form basis solid management. Thus, this research aims understand rate generation Kathmandu Metropolitan City, Ward 31, Shantinagar, characterize...

Construction and demolition waste represents a growing environmental, social, economic problem, has become priority for European worldwide policies. The early quantification of construction is essential the minimisation its production improvement management. This requires development design-based tools that enable better understanding expected produced during phase. Building Information Modelli...

quantitative and model-based prediction of security in the architecture design stage facilitates early detection of design faults hence reducing modification costs in subsequent stages of software life cycle. however, an important question arises with respect to the accuracy of input parameters. in practice, security parameters can rarely be estimated accurately due to the lack of sufficient kn...

The proper management of solid waste and sustainable alternatives treatment are trends that affect all levels society, including educational institutions (EI). This study addresses a systematic review the literature available on gardening methods in EI, aiming to find publications Scopus Google Scholar databases, using personalized search string. A total 14 documents were obtained included stud...

Waste management is an essential societal issue, and the classical manual waste auditing methods are hazardous time-consuming. In this paper, we introduce a novel method for detection classification to address challenges of management. The uses collection deep neural networks allow accurate detection, classification, size quantification. trained network model integrated into mobile-based applic...