Inthispaper,wepresentacomprehensivereviewofresearchdedicatedtoapplicationsofmachinelearning in Solid waste management. The works analyzed were categorized in classes of threegenericcategories;namely,predictionofwastegenerationmodel,wastedetectionmodels,optimization of collection and disposal models. The paper reviewed studies from 2008 thatfocusingthethreedomainandthedifferentmachinelearningmodelsusedtosolvewastemanagementchallenge.The analysis prioritized domain in prediction of generation, detection and finally optimization of collection solid waste, the findings indicated GIS-based optimized using ArcGIS Network Analyst tool applied on variables such as cost, route distance and number of trucks, gives the best results. Further research will be carried out in future to realize and validate the tool.

KEYWORDS: ArtificialIntelligence, MachineLearning, Modeling, Optimization, Deeplearning, Neuralnetwork

Component weight reduction is one of the biggest trends today, and not just in the automotive and aerospace industries. Topological optimization is a method by which we can obtain structures with significantly reduced weight with unchanged function and component safety. This article deals with the topological optimization of a plastic bracket made by additive manufacturing. Topology optimization and subsequent verification of the suitability of the new optimized model will be performed based on three independent static structural simulations using Ansys. The holder is made of ABS plastic.

KEYWORDS: topology optimization, optimization, simulation, ANSYS.

Bryophytes are the oldest land plant on the world. Bryophyte places this group between algae and Pteridophyte. Bryophytes exist in a wide variety of habitats. They can be found growing in a range of temperatures, cold arctics and in hot deserts, in a range of elevations sea-level to hilly land, and moisture dry deserts to wet rainforests. The usefulness of bryophytes is relatively unknown to most people. Bryophytes are used for several proposes such as protection from soil erosion, soil formation, water retention, peat, animal feeds, medical uses and energy. Cultivation of bryophytes should be done in large area that can supply of bryophytes enough for industrial purposes. Bryophyte is renewable biomass.........

KEYWORDS: bryophyte, cultivation, energy, HTL, bio-oil, conversion

Water boreholes are popular means of drinking water delivery in the developing countries. Current assessments of water quality of these boreholes tend to focus on microbial or chemical contaminants, but largely neglect the effects of the proximate biophysical environment on the quality of water. In this study a logistic regression model was used to investigate the effects of site environment on the likelihood of a water borehole being microbial contaminated. Water samples from 110 water boreholes were investigated over a six-month period in Afikpo North Local Government Area, Ebonyi State, Nigeria. Detection of coliform organisms was assumed an indication of microbial contamination. General sanitary conditions of the boreholes' immediate environments were assessed using a modified sanitary inspector's checklist.........

KEYWORDS: Logistic, Microbial, Borehole, Environment, Drinking water

The structure of ceramics is non-uniform, and many scientists have studied the size and distribution of pores and capillaries in ceramic products. The mechanism of disintegration of ceramic products during freezing is reviewed in detail. Rapid forecasting methods based on one parameter are not promising. Forecasting methods, when based on a higher number of parameters, are much more reliable and better show the frost resistance of ceramic products. In the current period, two directions of ceramic product forecasts are distinguished, one area basis on structural and strength parameters, the other on deformation parameters. Rapid forecasting methods allow for the evaluation of the frost resistance of ceramic products quickly enough, and by applying them, it is possible to stop the entry of low-quality products into construction.

KEYWORDS: frost resistance, forecasting method, porous reserve ,dilatometry