Title Selection

• Authors name, affiliation and sequence

• Author note (to express disclaimer, conflict of interest, acknowledgement, etc)

Abstract

• Concisely : problem, importance, contribution, findings, conclusion

• Keywords

Introduction

• What is the issue?

• Why important?

• Existing approaches

• Brief analysis and Motivation

• What is proposed?

• Why is it significant?

• Organization of the manuscript.

Contributions

• State your contribution 1

• State your contribution 2, etc 

Background

• Basic concepts/techniques, their definitions, expressions and uses

• Selection of concepts/techniques and justifications

• Importance in subsequent section(s).

Related Work

• Theory

• Approaches

• Taxonomy

• Discussion

• Pros and Cons

Problem Formulation

• State the problem in hand

Proposed Method

• Description of the approach introduced for solving the problem

• Symbol/notation table for consistent description and the approach/method

• Framework at conceptual level (use figure) and Its Description

• Theory : Definitions, Propositions, Lemma, Theorems, Conjectures, etc (if any)

• Presentation in Pseudo-code/Algorithm/flowchart or any other form (if relevant)

• Description of the algorithm/Code/flowchart w.r.t. Definitions and other theoretical evidences

• Complexity (how efficient theoretically?)

• •Theory

  • • –Proofs of correctness 

    • –Proof of completeness

    • –Proof of Convergence

Results & Analysis

• Environment Design; Selection of software/hardware/equipment

• Dataset design/generation for simulation study

• Selection of real-life or benchmark datasets

• Conditions and Parameter Specifications

• Results finding

• –Simulation results;

• –Experimental Study on Benchmark / real-life data;

Validation & Analysis

• Internal Validation

• –Using Statistical Measures; Cross Validation; Analysis

• External Validation

• –Simulations; Cross Validation; Analysis

• –Using Benchmark/Standards ; Cross Validation; Analysis

Comparison with Prior Works Using Graphical Aids/Tools

• Execution time comparison (e.g., Graph for Data vs Time for each method)

• Accuracy Comparison (e.g., in terms of ROC)

• Comparison in terms of other statistical measures (e.g., Precision, Recall, F measure, t-test, etc)

• Comparison in terms of Scalability (e.g., Graph for Increasing Data vs Time)

Issues and Challenges

• List of Research Issues

• List of Challenging tasks

Conclusion and Future Works

• Concluding remarks: Summary of findings, salient features, etc

• Future Works: Future directions to carry out further research