In this study, the performance and emissions of Al2O3 alkaline cottonseed biodiesel-powered compression ignition engines were predicted. An experiment was conducted using different biodiesel blends made from cottonsee...
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Smart meters are an important component of the smart grid, and the large-scale deployment of meters on the user side generates a large amount of data that brings huge expenses to the smart grid. In addition, attackers...
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Diverse efforts to combat the COVID-19 pandemic have continued throughout the past two years. Governments have announced plans for unprecedentedly rapid vaccine development, quarantine measures, and economic revitaliz...
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This review investigates the latest advancements in intelligent Network-on-Chip (NoC) architectures, focusing on innovations from 2022 to 2024. The integration of Artificial Intelligence (AI) and Machine Learning (ML)...
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In Ad customization, several approaches are employed to improve the relevance level of the message for monitoring the user performance according to the prior search history (e.g., retargeting) or by gathering particul...
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In post pandemic era where companies already adopted digital agendas in their everyday business, conservative businesses as insurance companies must intensify activities in creating new values and use of the potential...
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Ellipse feature appears in the cross-section of a wire, and it can complement the line feature to improve wire detection. The previously proposed ellipse feature extraction method requires a wire to be placed parallel...
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As the ageing population increases, predictive health applications for the elderly can provide opportunities for more independent living, increase cost efficiency and improve the quality of health services for senior ...
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This paper investigates the integration of Internet of Things (IoT) networks with modern massive multiple-input multiple-output (MIMO) wireless systems to enable various new use cases. Given the dynamic nature of para...
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Diabetes or Diabetes Mellitus(DM)is the upset that happens due to high glucose level within the *** the passage of time,this polygenic disease creates eye deficiency referred to as Diabetic Retinopathy(DR)which can ca...
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Diabetes or Diabetes Mellitus(DM)is the upset that happens due to high glucose level within the *** the passage of time,this polygenic disease creates eye deficiency referred to as Diabetic Retinopathy(DR)which can cause a major loss of *** symptoms typically originate within the retinal space square in the form of enlarged veins,liquid dribble,exudates,haemorrhages and small scale *** current therapeutic science,pictures are the key device for an exact finding of patients’***,an assessment of new medicinal symbolisms stays ***,computer Vision(CV)with deep neural networks can train models with high *** thought behind this paper is to propose a computerized learning model to distinguish the key precursors of Dimensionality Reduction(DR).The proposed deep learning framework utilizes the strength of selected models(VGG and Inception V3)by fusing the extracated *** select the most discriminant features from a pool of features,an entropy concept is employed before the classification *** deep learning models are fit for measuring the highlights as veins,liquid dribble,exudates,haemorrhages and miniaturized scale aneurysms into various *** model will ascertain the loads,which give the seriousness level of the patient’s *** model will be useful to distinguish the correct class of seriousness of diabetic retinopathy pictures.
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