Advancements in business processes to improve business marketing processes through advanced signal processing

Author:

Mubarakali Azath1,Shobanadevi A.2ORCID,Mohammed Hazhar Omer3,Pradhan Rahul4,Lakshma Reddy Vuyyuru5,Bizu B.6,Praveena V.7

Affiliation:

1. King Khalid University Abha Saudi Arabia

2. Department of Data Science and Business Systems, School of Computing SRM Institute of Science and Technology Chennai India

3. Department of Business Administration, College of Administration and Economic Lebanese French University Erbil Iraq

4. GLA University Mathura India

5. Department of CSE, Koneru Lakshmaiah Education Foundation Vaddeswaram India

6. Department of Computer Science and Engineering Kongu Engineering College Perundurai India

7. Department of Computer Science and Engineering Dr. N.G.P Institute of Technology Coimbatore India

Abstract

AbstractThe current research shows tremendous improvements in the business marketing processes because some problems are long‐term bond yields and macroeconomic data handling at a minimum level. Any industry can revolutionize business marketing processes if it takes a specific business marketing model to eliminate such deficiencies, examines the various elements that occur in them, and finds out how to fix them. As a result, some factors have to be controlled for in this research. Innovations and advancements in signal processing techniques on business processes occur spontaneously in business processes that are managed like this. In the below‐mentioned business improvement success factors, score, learning best, future creation, people involvement, goals setting, plan and develop is the most essential factor. The elimination of these factors causes some disruption in business marketing processes. These gaps cause problems in the field of science and technology‐based business marketing. The problem caused by these factors is the excess usage of two‐wheeler, which generates more vehicular crises. The smart helmet business is the only solution to this automotive crisis. But because some of the above problems occur to this business process marketing. Considering that some sensors to make smart helmets will develop the business in the name of this imperative, considering the factors of production are land, labour, capital, and entrepreneurship as the centre, this research introduces signal processing technology to make a helmet. The signal processing‐based helmet proposed here is constructive for business. This research suggests a smart helmet business with signal‐processing technology. This study highlights how adopting the smart helmet product might improve corporate marketing procedures. According to the results of our research, when people use this smart helmet product, depending on how well they can use it, that specific business rises to the top and falls to the bottom. These business marketing methods operate at a greater level and are profitable whenever their capacity rises. The effectiveness of this smart helmet declines as accidents increase and corporate marketing procedures degrade. Since our production now depends on whether the intelligent helmets are beneficial or harmful and destructive. The analytical technique described below can be used to find them.

Funder

Deanship of Scientific Research, King Khalid University

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

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