The primary focus of this study is to analyze and predict the patterns of this essential feature of the natural world. This study analyses and predicts the daily weather patterns of a specific urban area. This article...
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Efficient waste control is critical for India's smart cities. This study uses Convolutional Neural network (CNN) technology to classify and reveal waste, integrating sensors, Internet of Things (IoT) gadgets, and ...
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A mobile ad hoc network (MANET) uses mobile devices and wireless networking to stream video. Several methods have been developed to address the challenges associated with video streaming over MANETs. This paper design...
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The study explores knockout of c-Myc and doxorubicin toxicity influence on mouse kidney's metabolism. Cryo-imaging unveils knockout is significantly more oxidized compared to control group while this was not obser...
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Medicinal plants have been integral to traditional medicine, offering a wide range of health benefits and natural remedies. However, accurate identification is essential for safe use and the preservation of this valua...
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This research work presents the design and implementation of an advanced indoor navigation system tailored for college campus (Xavier Institute of engineering), leveraging LiDAR sensors and QR code technology for accu...
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This research paper introduces an innovative file-sharing platform, engineered to redefine the standards of scalability, privacy, and security in digital file distribution. By utilizing user-provided remote storage se...
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Industrial accidents such as chemical spills, fires, and explosions. Can have serious consequences, including injuries and fatalities, environmental damage, and economic losses. To prevent industrial accidents, it is ...
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Violence incitement detection and sentiment analysis hold significant importance in the field of natural language processing. However, in the case of the Bangla language, there are unique challenges due to its low-res...
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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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