I want one ppt for topic what I intrested
Budget: $30 – $250 USD
Need ppt for plastic classification by selecting a specific paper and questions mentioned in below
1. Title of the paper
2. Authors, their country, university (or company names)
3. Year of publication
4. Number of times the paper is cited by (referenced by) other papers
5. Number of research papers referenced in the paper
6. Conference/Journal/Publication(book that it is published in) (Springer, IEEE ACM, ELZEVIER publish
journal/conference proceedings)
NOTE: Sciencedirect.com (Elzevier’s (reputable) portal to their publication ) publisher is not that
important. Publisher is the organization that publishes the paper and includes journal, conference
etc. Wiley is a publisher (mostly for books)
Example: Computational Intelligence. 2022;38:323–344 journal name with vol no:pages
Journal paper can have a related conference article
7. Submission deadline for 2023 of the conference/Journal (May have a rolling deadline) + related link
8. List of references listed in the reverse order of number of times it is referenced (Use Google scholar to
find the year of publications, number of citations in descending order of number of citations)
9. Maximum times any of its referenced papers has been cited (Tells how important a referenced paper is
considered to be)
10. Dataset: List the datasets used in this paper. List their names, source (where you can download the
datasets from), names of features with a very brief description
a. Non-review paper: State the link of the site where you can download the source code related to
this research paper from. If the source code used in the paper is not available, find one source of
code for any paper referenced in this paper or a related paper
b. Review paper: State the link of the sites where you can download the source code related to at
least 2 papers referenced in this research paper
12. Domain Name + Description: Explain the domain that the ML algorithms are applied to (30- 60 words)
There is no perfect answer. Here are some examples
Domain Name examples+ brief description:
i. Solid Waste Management- generation prediction + brief description
ii. Solid Waste Management-Sorting/Classification + brief description
iii. Solid Waste Management-Collection/Transportation + brief description
iv. Solid Waste Management-Treatment & Disposal + brief description
v. Solid Waste Management-Landfill gas prediction + brief description
vi. Solid Waste Management-Incineration/Heat-value prediction + brief description
vii. Solid Waste Management-Pollutants/emissions prediction + brief description
viii. …… etc.
13. Problem Explanation: Briefly explain the problem the researchers are working to solve (30 - 60 words)
14. Benefits of Techniques used:
a. Non-survey paper: What are the benefits of the technique used in the research paper for non-
review paper (At most 100 words) OR
b. Survey paper: Brief list/summary of techniques covered (At most 150 words)
15. Summary: Summarize the paper. (More than Abstract) 50-100 words.
16. Literature review: Literature review and its methods.
17. Pros and Cons: Discuss some of the good/bad points of the methods used in this paper.
18. Address deficiencies: What do you see as some possible ways to address the deficiencies of this paper?
19. Contributions: What are the major contributions of this work?
20. Future recommendations: (2 separate paragraphs) What future work recommendations do the authors
suggest? What is your recommendation on future work? (30-60 words per paragraph)
21. Machine learning algorithms: List all Machine Learning Algorithms used in this paper. (Example: ANN, SVM,etc)
1. Title of the paper
2. Authors, their country, university (or company names)
3. Year of publication
4. Number of times the paper is cited by (referenced by) other papers
5. Number of research papers referenced in the paper
6. Conference/Journal/Publication(book that it is published in) (Springer, IEEE ACM, ELZEVIER publish
journal/conference proceedings)
NOTE: Sciencedirect.com (Elzevier’s (reputable) portal to their publication ) publisher is not that
important. Publisher is the organization that publishes the paper and includes journal, conference
etc. Wiley is a publisher (mostly for books)
Example: Computational Intelligence. 2022;38:323–344 journal name with vol no:pages
Journal paper can have a related conference article
7. Submission deadline for 2023 of the conference/Journal (May have a rolling deadline) + related link
8. List of references listed in the reverse order of number of times it is referenced (Use Google scholar to
find the year of publications, number of citations in descending order of number of citations)
9. Maximum times any of its referenced papers has been cited (Tells how important a referenced paper is
considered to be)
10. Dataset: List the datasets used in this paper. List their names, source (where you can download the
datasets from), names of features with a very brief description
a. Non-review paper: State the link of the site where you can download the source code related to
this research paper from. If the source code used in the paper is not available, find one source of
code for any paper referenced in this paper or a related paper
b. Review paper: State the link of the sites where you can download the source code related to at
least 2 papers referenced in this research paper
12. Domain Name + Description: Explain the domain that the ML algorithms are applied to (30- 60 words)
There is no perfect answer. Here are some examples
Domain Name examples+ brief description:
i. Solid Waste Management- generation prediction + brief description
ii. Solid Waste Management-Sorting/Classification + brief description
iii. Solid Waste Management-Collection/Transportation + brief description
iv. Solid Waste Management-Treatment & Disposal + brief description
v. Solid Waste Management-Landfill gas prediction + brief description
vi. Solid Waste Management-Incineration/Heat-value prediction + brief description
vii. Solid Waste Management-Pollutants/emissions prediction + brief description
viii. …… etc.
13. Problem Explanation: Briefly explain the problem the researchers are working to solve (30 - 60 words)
14. Benefits of Techniques used:
a. Non-survey paper: What are the benefits of the technique used in the research paper for non-
review paper (At most 100 words) OR
b. Survey paper: Brief list/summary of techniques covered (At most 150 words)
15. Summary: Summarize the paper. (More than Abstract) 50-100 words.
16. Literature review: Literature review and its methods.
17. Pros and Cons: Discuss some of the good/bad points of the methods used in this paper.
18. Address deficiencies: What do you see as some possible ways to address the deficiencies of this paper?
19. Contributions: What are the major contributions of this work?
20. Future recommendations: (2 separate paragraphs) What future work recommendations do the authors
suggest? What is your recommendation on future work? (30-60 words per paragraph)
21. Machine learning algorithms: List all Machine Learning Algorithms used in this paper. (Example: ANN, SVM,etc)