Air quality is a major public health issue globally. Air pollution is responsible for millions of premature deaths annually and can cause a range of health problems, including respiratory diseases. The need to develop...
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The immediate international spread of severe acute respiratory syn-drome revealed the potential threat of infectious diseases in a closely integrated and interdependent *** an outbreak occurs,each country must have a ...
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The immediate international spread of severe acute respiratory syn-drome revealed the potential threat of infectious diseases in a closely integrated and interdependent *** an outbreak occurs,each country must have a well-coordinated and preventative plan to address the *** and Communication Technologies have provided innovative approaches to dealing with numerous facets of daily *** intelligent devices and applica-tions have become a vital part of our everyday lives,smart gadgets have also led to several physical and psychological health problems in modern ***,we used an artificial intelligence AI-based system for disease prediction using an Artificial Neural Network(ANN).The ANN improved the regularization of the classification model,hence increasing its *** unconstrained opti-mization model reduced the classifier’s cost function to obtain the lowest possible *** verify the performance of the intelligent system,we compared the out-comes of the suggested scheme with the results of previously proposed *** proposed intelligent system achieved an accuracy of 0.89,and the miss rate 0.11 was higher than in previously proposed models.
INTRODUCTION Most computer vision tasks currently focus on recognizing objects in *** instance,image classification only needs to identify the main object in an image [1],while object detection and image segmentation ...
INTRODUCTION Most computer vision tasks currently focus on recognizing objects in *** instance,image classification only needs to identify the main object in an image [1],while object detection and image segmentation only require models to locate objects in images [2].However,these tasks are insufficient to achieve a comprehensive and in-depth understanding of a *** example,in ***(i),a model that only detects people,elephants,fences and trees would not have an understanding of the scene, making it unable to provide safety reminders such asnot to feed the *** many realworld AI applications like smart cities,autonomous driving and smart manufacturing,it is crucial to not only localize targets in the scene but also reason and predict their *** example,in autonomous driving,it is important to analyze whether pedestrians on the side of the road are pushing or riding *** smart factories,it is necessary to judge whether operators are working *** these relations is vital for decision-making.
The most common cause of blindness among diabetics is diabetic retinopathy. This disease must be detected in its early stages as delaying treatment can result in permanent blindness. In today’s modern world with the ...
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Renewable energy resources are abundant and developing rapidly in the power industry. This article establishes a wind-solar energy storage hybrid power generation system and analyzes the coordinated operation of energ...
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This research paper presents a comprehensive analysis of machine learning models for predicting future sales of electric vehicles (EVs) in the Indian Market. With a specific focus on 2 and 3 wheeler sales. The study c...
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The knowledge graph(KG) that represents structural relations among entities has become an increasingly important research field for knowledge-driven artificial intelligence. In this survey, a comprehensive review of K...
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The knowledge graph(KG) that represents structural relations among entities has become an increasingly important research field for knowledge-driven artificial intelligence. In this survey, a comprehensive review of KG and KG reasoning is provided. It introduces an overview of KGs, including representation, storage, and essential technologies. Specifically, it summarizes several types of knowledge reasoning approaches, including logic rules-based, representation-based, and neural network-based methods. Moreover, this paper analyzes the representation methods of knowledge hypergraphs. To effectively model hyper-relational data and improve the performance of knowledge reasoning, a three-layer knowledge hypergraph model is proposed. Finally, it analyzes the advantages of three-layer knowledge hypergraphs through reasoning and update algorithms which could facilitate future research.
FedAvg is a classic algorithm for Federated Learning. The MOON algorithm is based on the idea of comparative learning. The model in the previous round is a negative sample, and the global model is a positive sample, w...
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Active metasurfaces are emerging as the core of next-generation optical devices with their tunable optical responses and flat-compact *** for the terahertz band,active metasurfaces have been developed as fascinating d...
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Active metasurfaces are emerging as the core of next-generation optical devices with their tunable optical responses and flat-compact *** for the terahertz band,active metasurfaces have been developed as fascinating devices for optical chopping and compressive sensing ***,performance regulation by changing the dielectric parameters of the integrated functional materials exhibits severe limitations and parasitic ***,we introduce a C-shape-split-ring-based phase discontinuity metasurface with liquid crystal elastomer as the substrate for infrared modulation of terahertz ***-focused infrared light is applied to manipulate the deflection of the liquid crystal elastomer substrate,enabling controllable and broadband wavefront steering with a maximum output angle change of 22°at *** as another control method is also investigated and compared with infrared *** further demonstrate the performance of liquid crystal elastomer metasurface as a beam steerer,frequency modulator,and tunable beam splitter,which are highly desired in terahertz wireless communication and imaging *** proposed scheme demonstrates the promising prospects of mechanically deformable metasurfaces,thereby paving the path for the development of reconfigurable metasurfaces.
Physical layer secret key generation (PSKG) leverages the reciprocal properties of wireless channels to establish cryptographic keys between legitimate users. However, in time-division duplex (TDD) systems, this recip...
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