The Internet of Things (IoT) continues to expand rapidly, resulting in increasingly heterogeneous and complex wireless sensor networks (WSNs). Traditional anomaly detection approaches cannot cope with dynamic traffic patterns, high data volumes, and strict resource constraints. This study presents a...

Sustainable analytics is important in helping decision-makers to understand their human-centric role in maintaining the resilience of their businesses and developing toward sustainability in the new era of Industry 5.0. The inaugural editorial of Sustainable Analytics introduces the journal’s missio...

This paper advances a decision-aligned post-processing layer for government bond yield forecasts, turning competent sequence predictions into curve-consistent and economically calibrated outputs with minimal engineering burden. Starting from capacity-fair baselines in the LSTM, GRU and compact trans...

Greenhouse gas Methane (CH$_4$) has approximately 86 times more impact on global warming than carbon dioxide (CO$_2$) over a 20-year period, and 28 times over a 100-year period. The emission of methane gas into the atmosphere is increasing due to the reliance on fossil-based resources in post-indust...

U.S. Treasury Department’s Office of Foreign Assets Control (OFAC) placed sanctions on Russian petroleum companies in January 2025, but for the petroleum industry of Serbia (NIS JSC Novi Sad), they were postponed repeatedly before finally took effect on October 9, 2025. In particular, PJSC Gazprom N...

To address the challenge of effectively leveraging multi-source data for automated operational assessment of Unmanned Surface Vehicles (USVs) and utilizing digital technologies for monitoring and control, this paper proposes a data-driven state assessment method for surface unmanned systems and deve...

Yield optimization in advanced manufacturing rarely proceeds as a tidy pipeline; it arises from the gradual convergence of evidence across spatial wafer patterns, multivariate metrology, and asynchronous process and equipment events that interact in ways that are only partially observable. Prior stu...

Around the world, brain tumors are a major cause of human mortality. Accurate brain tumor detection is essential for effective treatment and improved patient outcomes. This study introduces the progressive transfer learning method, using VGG16 and MobileNet for the brain tumor identification and cla...

The rapid global deployment of solar photovoltaic (PV) technology presents a significant and often overlooked challenge: the effective management of end-of-life (EoL) solar panels. This issue is particularly acute in developing and emerging economies, where established reverse logistics infrastructu...

Adaptation learning is a data-driven technique that adjusts its behavior based on the experience gained during data analysis. It plays an integral role in providing engineering solutions based on specific needs. Researchers have used the second-order statistics criterion for decades to conceptualize...