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How to write a strong abstract

How to Write a Strong Abstract

An abstract is a short summary of your research paper. It tells the reader what you did, why you did it, how you did it, and what you found.


What a Good Abstract Should Contain

  • Problem statement (what issue you studied)
  • Objective (what you wanted to achieve)
  • Methodology (how you did the work)
  • Key results (main findings)
  • Conclusion (importance of results)

Step-by-Step Structure

1. Background / Problem

Briefly explain the problem or research area in 1–2 lines.

2. Objective

Clearly state what your study aims to do.

3. Methodology

Mention the method, model, algorithm, experiment, or dataset used.

4. Results

Write the main outcome (accuracy, improvement, performance, etc.).

5. Conclusion

Explain why your result is important or useful.


Length of Abstract

  • Usually 150–250 words
  • Do not exceed conference/journal limit

Sample Abstract (Generic)

This paper presents a study on improving the performance of machine learning models for disease prediction. The main objective of this research is to develop an efficient prediction model using patient data. In this work, a classification-based approach is applied and evaluated on a benchmark healthcare dataset. Experimental results show that the proposed method achieves higher accuracy compared to existing models. The findings of this study demonstrate the potential of the proposed approach for practical healthcare applications.


Common Mistakes

  • Too much background information
  • No clear objective
  • No results mentioned
  • Using references or citations
  • Writing like introduction section

Tips for Writing Strong Abstract

  • Write abstract after completing the paper
  • Use simple and clear language
  • Avoid long sentences
  • Do not use equations or figures
  • Do not exaggerate results

Final Rule

A strong abstract answers five questions:

  • What is the problem?
  • What is the objective?
  • How was it done?
  • What are the results?
  • Why is it important?


Source: sureshtechlabs.com


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How to select the best conference for your paper

How to Select Best Conference for Your Paper

Choosing the right conference is very important for the quality and value of your research paper. Do not select a conference only based on fast acceptance or low fee.


1. Match Your Paper Topic with Conference Scope

  • Check the conference theme and topics
  • Your paper must match the main subject area
  • Example: AI paper → AI or Data Science conference

2. Check Publisher

  • Prefer conferences published by IEEE, Springer, ACM, Elsevier
  • Avoid unknown or fake publishers
  • Check publisher name on official website

3. Check Indexing

  • Check if conference proceedings are indexed in Scopus or Web of Science
  • Verify from official Scopus Sources List
  • Do not trust only conference website claim

4. Check Past Conference Quality

  • Look at previous years’ papers
  • Check paper quality and relevance
  • See if reputed authors published there

5. Check Review Process

  • Good conference takes weeks for review
  • Provides reviewer comments
  • Allows revision
  • Avoid conferences with 2–3 days acceptance

6. Check Acceptance Rate

  • Top conferences: low acceptance rate (10–30%)
  • Medium conferences: moderate rate (30–50%)
  • Very high rate (80–100%) = suspicious

7. Check Organizing Committee

  • Check names of chairs and committee members
  • They should be real professors or researchers
  • Check their affiliation

8. Check Venue and Host University

  • University-hosted conferences are safer
  • Check location in Google Maps
  • Check previous events at same venue

9. Check Registration Fee

  • High fee + low quality = danger
  • Reasonable fee + reputed publisher = acceptable
  • Never choose conference only for cheap fee

10. Avoid These Signs

  • Guaranteed acceptance
  • Very fast review
  • Fake indexing claims
  • Broad topics (all fields together)
  • Spam email invitations

Golden Rule

Always verify:

  • Publisher
  • Indexing
  • Past papers
  • Review process

Summary

  • Choose conference based on topic match
  • Verify indexing from official sources
  • Prefer IEEE, Springer, ACM, Elsevier
  • Avoid fast-acceptance conferences
  • Quality matters more than speed


Source: sureshtechlabs.com


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