This research provides a detailed and sequential framework for constructing a recommendation system focused on women's health, specifically for menopause management and dietary guidance tailored to individuals. Th...
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Farmers in India face various challenges during the crop cycle, including a lack of knowledge about the latest technologies, practices, and disease identification and management. Additionally, farmers often struggle t...
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There are many significant advantages in using virtual reality technology for architecture and design, according to the research on the subject. The capacity to create interactive, realistic, and immersive environment...
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ISBN:
(纸本)9798350396638
There are many significant advantages in using virtual reality technology for architecture and design, according to the research on the subject. The capacity to create interactive, realistic, and immersive environments that let clients and designers experience the building in a way that is not achievable with conventional 2D plans or physical models is one of the main benefits. Buildings, landscapes, and interiors can all be viewed and experienced from every angle thanks to the exact and realistic 3D models that architects and designers can produce utilising VR technology. This enables customers to fully appreciate the building's dimensions, scale, and proportions in addition to the ambience and vibe it exudes. VR technology can be utilised to discover and resolve any design flaws or challenges in addition to giving clients a more immersive experience. Architects and designers can test and improve their designs in a way that is not achievable through conventional means by simulating various scenarios and settings. By avoiding the need for expensive and time-consuming design adjustments, this can help to save time and money during the construction process. In addition, VR technology can be applied to the construction of greener, more energy-efficient buildings. Architects may optimise the design to lower energy use and boost sustainability by simulating how a building performs in various environments and climates. This may have a substantial effect on the building's long-term running costs. Integration of Nanite and Lumen in this system not only reduces the computational power needed but also increases the realism and efficiency thus making it easier for the user as well as developer to use the technology in a simplified manner. Overall, using VR technology in architecture and design has a number of advantages that can aid in the creation of structures that are more precise, effective, and sustainable. Designers may guarantee that their designs satisfy the needs and
Dispensing generic drugs instead of original drugs from pharmacies may cause adverse drug events to patients. It is difficult to separate between generic drugs and originals due to their similarities, except for impri...
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A taxonomy of expected bugs in a typical program can be useful while performing several software engineering tasks such as test case design, mutation testing, and fault localization. In this context, we have analyzed ...
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At present days,object detection and tracking concepts have gained more importance among researchers and business ***,deep learning(DL)approaches have been used for object tracking as it increases the perfor-mance and...
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At present days,object detection and tracking concepts have gained more importance among researchers and business ***,deep learning(DL)approaches have been used for object tracking as it increases the perfor-mance and speed of the tracking *** paper presents a novel robust DL based object detection and tracking algorithm using Automated Image Anno-tation with ResNet based Faster regional convolutional neural network(R-CNN)named(AIA-FRCNN)*** AIA-RFRCNN method performs image anno-tation using a Discriminative Correlation Filter(DCF)with Channel and Spatial Reliability tracker(CSR)called DCF-CSRT *** AIA-RFRCNN model makes use of Faster RCNN as an object detector and tracker,which involves region proposal network(RPN)and Fast *** RPN is a full convolution network that concurrently predicts the bounding box and score of different *** RPN is a trained model used for the generation of the high-quality region proposals,which are utilized by Fast R-CNN for detection ***,Residual Network(ResNet 101)model is used as a shared convolutional neural network(CNN)for the generation of feature *** performance of the ResNet 101 model is further improved by the use of Adam optimizer,which tunes the hyperparameters namely learning rate,batch size,momentum,and weight ***,softmax layer is applied to classify the *** performance of the AIA-RFRCNN method has been assessed using a benchmark dataset and a detailed comparative analysis of the results takes *** outcome of the experiments indicated the superior characteristics of the AIA-RFRCNN model under diverse aspects.
The change in retinal vessel diameter is a crucial measure of disorders, including hypertension, high blood pressure, and diabetes. Abnormalities in the retinal vasculatures can signify a spectrum of diseases. In reti...
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The primary promoters for the advancement of NFRCs (Natural fibre reinforced composites) in many industries are the imperative need to decrease energy consumption and mitigate environmental consequences. Natural fibre...
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According to a report published by the World Health Organization in 2021, depression affects an estimated 5% of individuals worldwide. Most people who experience sadness or anxiety try to ignore the problem and get on...
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Businesses find it more difficult to determine the customer lifetime value (CLV) of each individual client as more customers make purchases online. In this study, customer segmentation is used to determine the custome...
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