In the current era, it is observed that most of the devices used for computation are mobile and consume a vast number of exhaustive resources. Edge computing saves bandwidth and decreases response time by fetching com...
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The prevalence of mental health problems has prompted investigations into the use of machine learning to tackle the issues. Mental health is a crucial component of an individual's overall well-being and can be det...
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Global statistics show that four out of ten adults are suffering from gastrointestinal diseases of varying severity. Early detection of underlying disorders in the gastrointestinal tract is important in identifying th...
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Human Action Recognition(HAR)attempts to recognize the human action from images and *** major challenge in HAR is the design of an action descriptor that makes the HAR system robust for different environments.A novel ...
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Human Action Recognition(HAR)attempts to recognize the human action from images and *** major challenge in HAR is the design of an action descriptor that makes the HAR system robust for different environments.A novel action descriptor is proposed in this study,based on two independent spatial and spectral *** proposed descriptor uses a Difference of Gaussian(DoG)filter to extract scale-invariant features and a Difference of Wavelet(DoW)filter to extract spectral *** create a composite feature vector for a particular test action picture,the Discriminant of Guassian(DoG)and Difference of Wavelet(DoW)features are *** Discriminant Analysis(LDA),a widely used dimensionality reduction technique,is also used to eliminate duplicate ***,a closest neighbor method is used to classify the *** and UCF 11 datasets were used to run extensive simulations of the suggested strategy,and the accuracy assessed after the simulations were run on Weizmann datasets for five-fold cross validation is shown to perform *** average accuracy of DoG+DoW is observed as 83.6635%while the average accuracy of Discrinanat of Guassian(DoG)and Difference of Wavelet(DoW)is observed as 80.2312%and 77.4215%,*** average accuracy measured after the simulation of proposed methods over UCF 11 action dataset for five-fold cross validation DoG+DoW is observed as 62.5231%while the average accuracy of Difference of Guassian(DoG)and Difference of Wavelet(DoW)is observed as 60.3214%and 58.1247%,*** the above accuracy observations,the accuracy of Weizmann is high compared to the accuracy of UCF 11,hence verifying the effectiveness in the improvisation of recognition accuracy.
In IoT applications, battery-constrained devices face an important and crucial challenge that their lifespan depends solely on their batteries. Extending this lifespan is a key challenge. Fortunately, various energy h...
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Ayurvedic medicinal plants are in the spotlight, solving the major problem which is being arisen in the modern world. Ayurvedic plants are acquiring great attention in the prescription field owing to having fewer dead...
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Software engineering projects can be complex and involve many different tasks and activities, such as collecting requirements, design, coding, testing, and deployment. Estimating the effort needed for the project is o...
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The Internet of Things or IoT means to the confluence of the network of interconnected devices, the technologies that enable communication among these devices, and between these devices and the cloud. IoT contains emb...
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The rapid advancement of digital technologies allowed people to interact with different social media platforms for communicating and sharing their feeds with their friends and communities. However, sharing and posting...
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Cyber threats and data manipulation are the main concerns in this technological society. The investigator finds it challenging to submit evidence to the court because of the information breach as continuity documentat...
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