DEEP NEURAL PROJECT..Create a project on $$Object Detection$$ under the following Conditions

This project has two parts : Part A and Part B

Part$-$A Identify Three Papers from the below list on the topic image detection: Identify three significant journals which uses Deep Feedforward Neural Network $/$ CNN $/$ RNN $/$ Transformer networks $($any one has to be chosen$).$ You can use transfer learning for CNN also. Journal should be from reputed sources like IEEE$/$Springer or ACM that focus on the application of CNN$/$RNN$/$Transformer networks in your chosen domain.

Create a Comparison Table: Compare the three papers and present your findings in a table with the following titles:

PAPER $1,$ PAPER $2,$ PAPER $3($with subheadings: Title, Authors, Year, Architecture of Deep Learning $($including the number of layers, types of layers, activation functions, and any unique features$).$ Network application $($e$.$g$.,$ feature engineering, classification, regression$),$ Training procedures $($e$.$ g$,$ training strategy, including optimization algorithms, learning rates, batch sizes, and regularization techniques$)$ Evaluation$/$Performance metric, Dataset used, URL if public dataset$)[*$Reference Comparison Table is given below$]$