In this paper, we consider the problem of online learning with convex objectives. Most of the existing work shows that static and dynamic regrets scale logarithmically or sub-linearly with the time horizon T. On the c...
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On complex economic dispatch (ED) issues with valve position impact, restricted practicable region, ramp borders, and manifold fuels with valve position impact, the effectiveness of the Squirrel Search Algorithm (SQSA...
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Image classification is crucial in remote sensing, image analysis, and pattern recognition. Object detection and classification in satellite images are crucial for applications like marine monitoring, land-use plannin...
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In this study, we will examine the survey methods for freshwater blue carbon, which is thought to be a carbon sink rather than a source of carbon dioxide emissions. The freshwater blue carbon that is attracting attent...
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Globally, heart disease is the major ingredient of mortality. Heart attacks are frequently caused by Coronary Artery Disease (CAD) due to the unavailability of the oxygenated blood to the heart muscles. Medical profes...
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In the present scenario, mines overburden has become a key obstacle globally. The open cut mining activities in the state of Odisha cause huge contamination to air, human health, and food security. To address this cri...
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Seismic Fault Detection is a crucial aspect of oil exploration. While traditional deep learning methods struggle to handle complex seismic data patterns, training a deep learning model solely on synthetic seismic data...
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The increasing use of Information technology (IT) in all areas of life, followed by increasing cybersecurity threats on the user side, makes cybersecurity awareness among users an obligation that must be met. Several ...
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Seismic-induced landslides in Sikkim, India, are a significant concern due to the region’s geological vulnerability to earthquakes and its rugged terrain. North Sikkim Highway is one of the major transportation corri...
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Diabetes is a chronic disease whose timely and accurate diagnosis will prevent serious complications from health. This paper explores using iridology principles in a deep learning method to detect diabetes from retina...
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