Industry 5.0 represents a paradigm shift from fully automated production toward intelligent, human-centric manufacturing environments where collaborative robots, artificial intelligence (AI), edge computing, digital twins, Industrial Internet of Things (IIoT), and cyber-physical systems (CPS) operate in harmony with hu...
Narendra Karmarkar, Iyengar P. K.· International Journal of Int...· 0 citations
Comparative evaluation shows that energy-aware embedded intelligence can drastically reduce energy consumption and maintain high accuracy and responsiveness, and suggests that enhanced edge-intelligence architectures will drive sustainable, autonomous, and scalable operation of next-generation robotic systems in Indust...
Narendra Karmarkar· International Journal of Int...· 0 citations
A novel blockchain based federated learning framework for non-sensitive cross-institutional medical data research which integrates decentralized blockchain networks with federated model aggregation offering secure parameter exchange, transparent participant validation, tamper-resistant audit trails and increased trust...
Narendra Karmarkar· International Journal of Eme...· 0 citations
This paper proposes an **Intelligent Human–AI Collaboration Framework for Future Digital Workplaces** consisting of four stages: workplace data integration, intelligent knowledge processing, collaborative decision intelligence, and adaptive feedback optimization.
Narendra Karmarkar, Iyengar P. K.· International Journal of Eme...· 0 citations
This paper presents an AI-based predictive framework for urban air quality management that combines data preprocessing, feature engineering, machine learning, deep learning, and ensemble models, and demonstrates that AI-based models outperform conventional statistical approaches in prediction accuracy and computational...
Seshagiri N, Narendra Karmarkar· International Journal of Mod...· 0 citations
This paper explores Agentic AI architectures for autonomous business applications, highlighting their role in finance, healthcare, supply chain, enterprise resource planning, customer relationship management, and industrial operations and their importance for successful enterprise adoption.
Narendra Karmarkar, Iyengar P. K.· International Journal of Mod...· 0 citations
An Autonomous Data Fabric architecture that combines AI/ML, metadata-driven automation, knowledge graphs, intelligent orchestration, and policy-based governance to enable seamless, self-managing enterprise data ecosystems is proposed.
Narendra Karmarkar· International Journal of Dat...· 0 citations
An integrated CSR framework is proposed that combines Environmental, Social, and Governance (ESG) principles with digital technologies to measure CSR performance through quantitative indicators and demonstrates that digital CSR enhances organizational resilience, brand reputation, customer trust, regulatory compliance,...
Narendra Karmarkar· International Journal of Com...· 0 citations
The proposed framework clearly shows how a blockchain-based identity system can play a significant role in strengthening citizen-centric governance, especially when it comes to improving authentication accuracy, safeguarding sensitive information, simplifying the cross-departmental verification of citizens' identities,...
Narendra Karmarkar· International Journal of Mod...· 0 citations
An Edge AI-based autonomous monitoring framework that integrates Industrial Internet of Things sensors, edge computing, deep learning models, and cloud platforms for efficient industrial monitoring that improves prediction accuracy, minimizes downtime, enhances product quality, strengthens cybersecurity, and supports s...
Narendra Karmarkar· International Journal of Mod...· 0 citations
The study concludes that Generative AI offers a promising foundation for scalable, adaptive, and human-centric industrial automation, with future research directed toward continual learning, explainable AI, federated robotic intelligence, edge AI, and trustworthy autonomous decision-making.
Narendra Karmarkar· International Journal of Int...· 0 citations
The proposed Explainable AI-Based Predictive Maintenance Framework (XAI-PMF) addresses this challenge by integrating IIoT sensing, intelligent feature engineering, hybrid machine learning, and explainability techniques such as SHAP, LIME, and rule extraction.
Narendra Karmarkar· International Journal of Mod...· 0 citations
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