Farmers used to determine out the maturity of the soil and manipulate suspicions to produce which kind of yield. They didn't consider the humidity, water level, or climatic conditions, all of which are increasingl...
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Deep learning advances neural decoding in functional magnetic resonance imaging (fMRI) tasks with convolution and attention-based methods. However, these methods struggle with capturing global spatiotemporal informati...
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Recently, advances in diagnostic systems using computer have shown promise of increasing DR detection from color fundus images with the help of deep learning methods especially on convolutional neural networks (CNNs)....
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Artificial intelligence promises to revolutionize our life, bringing significant advances in any fields: health, education, work and leisure time. This paper analyzes the last 5-year literature concerning the use of A...
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This paper introduces a machine-learning-based LULC classifying model developed with a time series data set, trained on a diverse set of agriculture and non-agricultural classes. It used a strong generalization capabi...
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With increase in demand the resources have proven to be limited. Spectrum sharing is a way to use the limited resources to their full potential. These can exceptionally improve the way IoT devices work. The ever-incre...
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Fraud detection in smart grids is critical to ensure reliable and efficient energy distribution, preventing significant financial losses and maintaining grid stability. This project presents an advanced fraud detectio...
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As spacecraft continue to evolve, their power demands increase significantly, making high-power space electrical supply capability a critical technological bottleneck for exploring space and utilizing space resources....
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The objective of this research is to examine the utilization of deep learning in the classification of ocular diseases and healthy lives, with a specific emphasis on the EfficientNetB3 architecture. By employing a con...
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Autism Spectrum Disorder, also known as ASD, is described as a disorder of communication and behavior. A person can receive a diagnosis at any time during their lifetime. Without regard to factors such as ethnicity, r...
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