Over the past 60 years, India's agricultural policies have undergone significant changes, particularly following the Green Revolution in the 1960s. This revolution fostered self-reliance in food grain...
To address the issues of low detection accuracy and insufficient model lightweighting in UAV-based transmission line foreign object detection, this paper proposes SDS-YOLOv8n, an optimized foreign obj...
Background Given that machine learning is one of the most effective approaches for identifying disease risk factors, this study aimed to explore the predictors of preeclampsia through machine learning...
This study investigates electrical energy conservation opportunities at SABIC Research and Technology Centre, Bangalore, aligning with SABIC’s global sustainability goal of a 15% reduction in energy c...
The practical implementation of spin-orbit torque (SOT) technologies requires efficient spin source that enables field-free switching of perpendicular magnetization with minimal power consumption. Her...
To address the reduction in structural strength and the decreased safety of separated-type aqueduct bodies due to erosion damage caused by sediment-laden flow, an erosion damage model for the aqueduct...
This study proposes a Machine Learning-Optimized 3D Hybrid Chaotic Map (Logistic–Tent–Hénon–Chebyshev) for secure and energy-efficient encryption of images and multimedia data in resource-constrained ...
This paper presents DT-AOF, a decision-theoretic adaptive optimization framework designed to address dynamic optimization problems under uncertainty. The proposed method integrates three key component...
Background: Mpox is a rare but re-emerging zoonotic disease that causes significant morbidity and mortality. As primary care physicians serve as gatekeepers in the healthcare system, it is essential t...
This study develops an integrated GIS and Multi Criteria Decision Making (MCDM) approach supported by the Interval Type-2 Fuzzy Risk Deviation Performance Index (IT2F-RDPI) method to assess the wind e...
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