Machine & Deep Learning algorithms for image classification

Points to Cover

Have to write the paper comparing the machine and deep learning techniques in different fields. These references should be used in paper. Two more topics to cover are classifiers in traffic signal and classroom learningPlease make the paper at Scopus level. 

 Materials and Methods

The Methods section should only include information that was available at the time the study was planned or protocol written; all information obtained during the conduct of the study belongs to the results section.Selection and Description of Participants: Describe your selection of the observational or experimental participants (patients or laboratory animals, including controls) clearly, including eligibility and exclusion criteria and a description of the source population. Because the relevance of such variables as age and sex to the object of research is not always clear, authors should explain their use when they are included in a study report; for example, authors should explain why only subjects of certain ages were included or why women were excluded. The guiding principle should have clarity about how and why a study was done in a particular way. When authors use variables such as race or ethnicity, they should define how they measured the variables and justify their relevance.Technical information: Identify the methods, apparatus (give the manufacturer’s name and address in parentheses), and procedures in sufficient detail to allow other workers to reproduce the results.Give references to established methods, including statistical methods (see below); provide references and brief descriptions for methods that have been published but are not well known; describe new or substantially modified methods, give reasons for using them, and evaluate their limitations. Identify precisely all drugs and chemicals used, including generic name(s), dose(s), and route(s) of administration.

Reference Style : Harvard