COMPUTERIZED EMOTIONS CLASSIFICATION SYSTEM BASED ON FACIAL EXPRESSION RECOGNITION USING IMAGE PROCESSING AND ARTIFICIAL INTELLIGENCE TECHNIQUES

ABSTRACT

THIS DOCTORAL RESEARCH DELVES INTO THE TRANSFORMATIVE POTENTIAL OF HYPERLEDGER FABRIC BLOCKCHAIN AND THE INTERNET OF THINGS (IOT) WITHIN BUSINESS MANAGEMENT, SPECIFICALLY IN THE DEVELOPMENT AND IMPLEMENTATION OF A COMPUTERISED MAINTENANCE MANAGEMENT SYSTEM (CMMS). IT SUGGESTS THAT MERGING THESE ADVANCED TECHNOLOGIES COULD REVOLUTIONISE MAINTENANCE MANAGEMENT AND OVERALL SYSTEM PERFORMANCE. THE STUDY ASSESSES THE IMPACT ON FUNDAMENTAL BUSINESS PROCESSES WITHIN THE IOT PARADIGM, HIGHLIGHTING THE ROLE OF THE HYPERLEDGER FABRIC BLOCKCHAIN NETWORK IN ENSURING DATA INTEGRITY AND ENHANCING TRANSPARENCY. THE INTEGRATION OF BLOCKCHAIN PROTOCOL WITH IOT OFFERS EFFICIENT DATA TRANSACTIONS, THEREBY IMPROVING BUSINESS DATA MANAGEMENT AND DECISION-MAKING. THE RESEARCH FURTHER VALIDATES THE ROBUSTNESS OF FABRIC RELEASE V2.4 FOR CMMS DEVELOPMENT. THE STUDY CONCLUDES BY EMPHASISING THE NEED FOR ADDITIONAL RESEARCH TO UNDERSTAND LONG-TERM IMPLICATIONS AND CHALLENGES IN DIFFERENT BUSINESS ENVIRONMENTS