The Internet of Things(IoT)has recently become a popular technology that can play increasingly important roles in every aspect of our daily *** collaboration between IoT devices and edge cloud servers,edge server node...
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The Internet of Things(IoT)has recently become a popular technology that can play increasingly important roles in every aspect of our daily *** collaboration between IoT devices and edge cloud servers,edge server nodes provide the computation and storage capabilities for IoT devices through the task offloading process for accelerating tasks with large resource ***,the quantitative impact of different offloading architectures and policies on IoT applications’performance remains far from clear,especially with a dynamic and unpredictable range of connected physical and virtual *** this end,this work models the performance impact by exploiting a potential latency that exhibits within the environment of edge ***,it investigates and compares the effects of loosely-coupled(LC)and orchestrator-enabled(OE)*** LC scheme can smoothly address task redistribution with less time consumption for the offloading sceneries with small scale and small task ***,the OE scheme not only outperforms the LC scheme in the large-scale tasks requests and offloading occurs but also reduces the overall time by 28.19%.Finally,to achieve optimized solutions for optimal offloading placement with different constraints,orchestration is important.
In this paper,we combine decision fusion methods with four metaheuristic algorithms(Particle Swarm Optimization(PSO)algorithm,Cuckoo search algorithm,modification of Cuckoo Search(CS McCulloch)algorithm and Genetic al...
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In this paper,we combine decision fusion methods with four metaheuristic algorithms(Particle Swarm Optimization(PSO)algorithm,Cuckoo search algorithm,modification of Cuckoo Search(CS McCulloch)algorithm and Genetic algorithm)in order to improve the image *** proposed technique based on fusing the data from Particle Swarm Optimization(PSO),Cuckoo search,modification of Cuckoo Search(CS McCulloch)and Genetic algorithms are obtained for improving magnetic resonance images(MRIs)*** algorithms are used to compute the accuracy of each method while the outputs are passed to fusion *** order to obtain parts of the points that determine similar membership values,we apply the different rules of incorporation for these *** proposed approach is applied to challenging applications:MRI images,gray matter/white matter of brain segmentations and original black/white images Behavior of the proposed algorithm is provided by applying to different medical *** is shown that the proposed method gives accurate results;due to the decision fusion produces the greatest improvement in classification accuracy.
Object detection is a significant method in computer vision, mainly for detecting objects belonging to different classes in an image. Its applications are widely spread to video surveillance, human tracking, autonomou...
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The stable periodic patterns present in time series data serve as the foundation for conducting long-horizon forecasts. In this paper, we pioneer the exploration of explicitly modeling this periodicity to enhance the ...
Centralized file storage systems are widely used for sharing data and services, offering oversight capabilities to governing bodies. Despite their prevalence, these systems raise significant concerns about potential d...
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With the advancement in technology, digital images have become a very popular source of information. But this source of information is also being used to mislead people and society by altering the original image. One ...
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Recognition of Sign Language is a typical area of experimentation, but it offers people with physical disabilities a great deal of convenience and support. Data collection, pre-processing, segmentation, feature extrac...
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Road accident plays as a factor to increase the number of deaths. Though an accident can occur because of so many facts, but majority cases are happened due to losing of focus. It can become very dangerous and can cau...
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作者：
PrathyakshiniShetty, Jyothi
Department of Information Science and Engineering Karkala Nitte India
Department of Computer Science and Engineering Karkala Nitte India
Text classification is an extremely vital task in Natural Language Processing, and it is utilized in many different applications. As there is increase in number of complicated documents there is need for deeper compre...
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The combination of machine learning(ML)approaches in healthcare is a massive advantage designed at curing illness of millions of *** efforts are used by researchers for detecting and providing primary phase insights a...
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The combination of machine learning(ML)approaches in healthcare is a massive advantage designed at curing illness of millions of *** efforts are used by researchers for detecting and providing primary phase insights as to cancer *** cancer remained the essential source of disease connected mortality for both men as well as women and their frequency was increasing around the *** disease is the unrestrained progress of irregular cells which begin off in one or both *** previous detection of cancer is not simpler procedure however if it can be detected,it can be curable,also finding the survival rate is a major challenging *** study develops an Ant lion Optimization(ALO)with Deep Belief Network(DBN)for Lung Cancer Detection and Classification with survival rate *** proposed model aims to identify and classify the presence of lung ***,the proposed model undergoes min-max data normalization approach to preprocess the input ***,the ALO algorithm gets executed to choose an optimal subset of *** addition,the DBN model receives the chosen features and performs lung cancer ***,the optimizer is utilized for hyperparameter optimization of the DBN *** order to report the enhanced performance of the proposed model,a wide-ranging experimental analysis is performed and the results reported the supremacy of the proposed model.
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