Latest Publication
Peer-reviewed articles published in the current issue. All articles are open access.
Articles in This Issue
Dr. B. Suresh Babu
This detailed paper is a synthesis of three paradigm shifts in technology, including Generative Artificial Intelligence (GenAI), Evolutionary Strategies (ES) of optimization, and Internet of Things (IoT)-enabled edge computing, to provide a conceptual framework that aligns and enables the transforma...
Ashutosh Kumar Singh
Radiomics, defined as the high-throughput extraction of quantitative features from medical images, represents a paradigm shift in diagnostic and prognostic medicine by enabling the discovery of imaging biomarkers beyond human perception. This review synthesizes existing literature on the integration...
Ashutosh Kumar Singh
Artificial Intelligence (AI) and Machine Learning (ML) have fundamentally transformed computer vision (CV), enabling machines to extract meaningful information from images and videos with unprecedented accuracy. This paper provides a comprehensive review of the evolution of AI/ML in CV, from early f...
Ashutosh Kumar Singh
The rapid digitization of financial services, combined with the expansion of the Internet of Things (IoT) and advances in computer vision, is creating new opportunities for data-driven innovation. This paper proposes an interdisciplinary framework integrating IoT sensor networks, real-time image pro...
Ashutosh Kumar Singh
Machine Learning (ML) has become one of the most disruptive technologies in such fields as finance, healthcare, disaster management, big data analytics, intelligent transportation systems, behavioral economics, radiomics, and human-computer interaction. The literature review is based on over forty p...
Ashutosh Kumar Singh
The performance of deep learning (DL) models is highly dependent on hyperparameter selection, including learning rate, network depth, dropout, and optimizer choice. Traditional methods such as manual tuning and grid search are computationally expensive and ineffective in high-dimensional, non-convex...
Ashutosh Kumar Singh
A paradigm shift is underway in banking and finance driven by artificial intelligence, with Generative AI (GenAI) emerging as a transformative force beyond traditional predictive analytics. This paper provides a comprehensive review of GenAI applications across the financial services ecosystem, exte...
Ashutosh Kumar Singh
Machine Learning (ML) and Artificial Intelligence (AI) have become essential tools for intelligent decision-making in complex, data-intensive environments. Advances in supervised learning, deep learning, generative models, and signal processing have enabled effective solutions across domains such as...
Ashutosh Kumar Singh
The increasing deployment of Artificial Intelligence (AI) in high-impact domains such as finance, healthcare, transportation, cybersecurity, and critical infrastructure has intensified the need for risk-aware, trustworthy, and reliable decision-making systems. Traditional machine learning models, wh...
Ashutosh kumar singh
Artificial Intelligence (AI) systems are being instituted in dynamic, uncertain, and safety-critical systems like financial analytics, healthcare allotment, intelligent traffic, cybersecurity and cyber-physical infrastructures. In these directions, traditional machine learning models with fixed trai...
Ashutosh kumar singh
With the increasing reliance on data-driven decision systems in financial and cyber-physical infrastructures, detecting anomalous and high-risk events has become a critical challenge. Traditional statistical methods and static machine learning models often fail to adapt to evolving data distribution...
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