• A Study of Boundary Value Problems for Differential Equations with Deviating Arguments 

  Aiya, Heramb B.
• Integrated AI and image processing frameworks for structural monitoring, mechanical performance, and engineering optimization 

  Senthilkumar, V.; Pattanayak, B.; Anly Antony M.; Brahm Prakash; Gawas, M.M.; Patel, D.B. (International Journal of Artificial Intelligence and Machine Learning. 6(3); 2026; 150-161.)

  India requires frameworks for condition assessment and material design that are both infrastructure-scaled and budget-conscious while retaining engineering accountability. This study presents an artificial-intelligence and ...
• Advanced mathematical models for scalable big data analytics: Integrating optimization algorithms and predictive intelligence in complex data environments 

  Manoj, P.K.; Amit Prakash; Sawant, S.; Gawas, M.M.; Chauhan, R.; Jadhav, D.; Thakkar, P.L. (Journal of Intelligent Decision Making and Information Science. 3(13S); 2026; 744-758.)

  In industrial big-data applications, the ability to transform very complex sensor streams into accurate maintenance information is crucial. The challenge with Remaining Useful Life prediction remains, however, because of ...
• Characterizations of additively graceful signed paths and cycles 

  D'Souza, B.; Pereira, J. (Communications in Combinatorics and Optimization. NYP; 2026; NYP.)

  A (p,m,n) signed graph S, is a signed graph of order p with m positive edges and n negative edges. In this paper, we first prove a few basic results on vertex labelings of paths. We use these results and a sequence of ...
• Detection of Avian Influenza-Infected Chickens using a Multi-Modal Audio-Visual Convolutional Neural Network Optimized for Indian Poultry Farms 

  Gawas, M.; Patil, H.; Gawas, M.M. (Proc. of 2025 IEEE 18th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC). 2025; 574-581.)

  Avian influenza (AI) poses a recurring threat to poultry production and public health in India, where high-density farming and diverse environmental conditions create challenges for early detection. This study presents a ...
• Integrating Thermal and Fecal Image Analysis Using Deep Learning for Early Detection of Poultry Diseases 

  Gawas, M.; Gawas, M.M. (Proc. of 9th World Conference On Information Communication Systems, Software, Security and Sustainability (WorldS4 2025). 2; 2026; 181-190.)

  Timely and accurate detection of poultry diseases is vital for minimizing economic losses and safeguarding animal welfare in the poultry industry. Conventional diagnostic methods are often invasive, time-consuming, and ...
• Mathematical Modeling for Predictive Maintenance: Leveraging AI and Machine Learning for System Optimization and Failure Prediction 

  Gawas, M.M.; Gawas, M. (Proc. of 9th World Conference On Information Communication Systems, Software, Security and Sustainability (WorldS4 2025). 2; 2026; 147-156.)

  This paper presents a mathematical modeling framework for predictive maintenance using artificial intelligence (AI) and machine learning (ML) to improve system performance and accurately forecast component failures. The ...
• Optimizing Energy Efficiency and Quality of Service in Fog Computing with a Decentralized Blockchain Framework 

  Gawas, M.; Gawas, M.M. (Proc. of 9th World Conference On Information Communication Systems, Software, Security and Sustainability (WorldS4 2025). 2; 2026; 42-51.)

  This study introduces an innovative framework that combines edge computing with blockchain-based IoT systems. Unlike conventional IoT-blockchain models, which offer limited capabilities such as running multiple applications ...
• Extended quasilinearization method for periodic boundary value problem of first order delay differential equations 

  Aiya, Heramb; Valaulikar, Y.S. (Jñānābha‎. 54(2); 2024; 207-215.)

  n this paper, we discuss the extended quasilinearization method to first order delay differential equation of the type x' (t) + Lambda x(t) = f(t, x(t - r)) + g(t, x(t - r)) with periodic boundary conditions, where there ...
• Data Science with Machine Learning and Deep Learning: A Mathematical and Algorithmic Guide 

  Gawas, M.; Gawas, M.M. (Scientific International Publishing House. 2024; 68pp.)

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