Volume 7, Issue 12, 2024 (Current Issue)

(ISSN : 2348 – 9510)

 

S. No. Name of Research Article (Volume 7, Issue 12, 2024) Page No.
1. EVALUATING THE IMPACT OF QUALITY CONTROL TOOLS ON DEFECT REDUCTION IN THE AUTOMOBILE MANUFACTURING INDUSTRY
(Author’s:  Mohammad Faisal)
1-14
2. ADVANCEMENT IN CLOUD INFRASTRUCTURE AUTOMATION: A SURVEY OF CURRENT TECHNOLOGIES AND FUTURE DIRECTIONS
(Author’s:  Srinivasa Rao Singireddy)
15-26
3. AI-DRIVEN SOLUTIONS FOR ENHANCING CYBERSECURITY IN HEALTHCARE SYSTEMS: A COMPREHENSIVE REVIEW
(Author’s:  Thangaraj Petchiappan)
27-41
4. LEVERAGING THREAT INTELLIGENCE PLATFORMS FOR PROACTIVE CYBER DEFENSE: HOW THE INTEGRATION OF THREAT INTELLIGENCE IMPROVED REAL-TIME THREAT DETECTION AND RESPONSE
(Author’s:  Wasif Khan)
42-61
5. INTEGRATION OF IOT WITH 5G NETWORK FOR SMART INFRASTRUCTURE AND PUBLIC SERVICES
(Author’s:  Krupal Shah, Dharmit Mistry)
62-88
6. DATABRICKS VS. TABLEAU: WHICH VISUALIZATION TOOL IS RIGHT FOR YOU?
(Author’s:  Krupa Goel)
89-113
7. BUSINESS PROCESS RE-ENGINEERING IN THE ERA OF AUTOMATION: CHALLENGES AND OPPORTUNITIES FOR ENTERPRISES
(Author’s:  Naveen Chandra Kukkala)
114-130
8. CYBER SECURITY USING SANDBOX
(Author’s:  Udit Patel, Sanjay Poddar)
131-159
9. ENHANCING CYBERSECURITY THROUGH ADVANCED IDENTITY AND ACCESS MANAGEMENT TECHNIQUES
(Author’s:  Ranga Premsai)
160-171
10. AN OPEN-SOURCE PROJECT FOR ETHICAL AI AND FAIRNESS AUDITING: BUILDING TRANSPARENT, ACCOUNTABLE, AND INCLUSIVE MACHINE LEARNING SYSTEMS
(Author’s:  Samuel Johnson)
172-203
11. PREDICTIVE MACHINE LEARNING ALGORITHM TOWARDS OPTIMISED CLOUD COMPUTING APPLICATIONS
(Author’s:  Siva Parise)
204-219
12. ETHICS IN AI: ADDRESSING BIAS AND ENSURING TRANSPARENCY IN MACHINE LEARNING
(Author’s:  Balaji Singaram)
220-227
13. MACHINE LEARNING-DRIVEN DATA QUALITY MANAGEMENT IN SAP MDG
(Author’s:  Arun Chinnannan Balasubramanian)
228-235
14. EVOLUTION OF PRODUCT DISCOVERY IN THE AGE OF AI PRODUCTS AND HOW IT DIFFERS FROM DEVELOPING TRADITIONAL SOFTWARE PRODUCTS
(Author’s:  Prabhavathi Matta)
236-240
15. SCALING NEURAL NETWORK TRAINING: A REVIEW OF DISTRIBUTED GPU COMPUTING TECHNIQUES
(Author’s:  Abhishek Shivanna)
241-251