Few-shot semantic segmentation (FSS) aims to locate pixels of unseen classes with clues from a few labeled samples. Recently, thanks to profound prior knowledge, diffusion models have been expanded to achieve FSS task...
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The increasing number of natural disasters in recent years has demonstrated the importance of establishing effective wireless emergency communications services. Unmanned aerial vehicles (U A V s) have become a competi...
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The Cloud Computing Environment(CCE)developed for using the dynamic cloud is the ability of software and services likely to grow with any *** has transformed the methodology for storing the enterprise data,accessing t...
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The Cloud Computing Environment(CCE)developed for using the dynamic cloud is the ability of software and services likely to grow with any *** has transformed the methodology for storing the enterprise data,accessing the data,and Data Sharing(DS).Big data frame a constant way of uploading and sharing the cloud data in a hierarchical architecture with different kinds of separate privileges to access the *** the requirement of vast volumes of storage area in the CCEs,capturing a secured data access framework is an important *** paper proposes an Improved Secure Identification-based Multilevel Structure of Data Sharing(ISIMSDS)to hold the DS of big data in *** complex file partitioning technique is proposed to verify the access privilege context for sharing data in complex *** access control Encryption Method(EM)is used to improve the *** Complexity is measured to increase the authentication *** active attack is protected using this ISIMSDS *** proposed ISIMSDS method assists in diminishing the Complexity whenever the user’s population is increasing *** security analysis proves that the proposed ISIMSDS methodology is more secure against the chosen-PlainText(PT)attack and provides more efficient computation and storage space than the related *** performance of the proposed ISIMSDS methodology provides more efficiency in communication costs such as encryption,decryption,and retrieval of the data.
Information technology (IT) plays a crucial role in business operations most organizations rely on IT resources for gaining competitive advantages and creating innovative and continuous values. This increased the impo...
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Right now, a lot of subjective human judgment goes into classifying mangoes and other fruits, especially when it comes to poor productivity, which results in less than ideal classification accuracy. Our work suggests ...
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Accurate breast cancer prognosis prediction is crucial for efficient treatment planning and improving patient outcomes. While significant progress has been made in treating primary breast cancer, the development of ro...
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AIoT applications often encounter challenges such as terminal resource constraints, data drift, and data heterogeneity in real world, leading to problems such as catastrophic forgetting, low generalization ability, an...
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This paper proposes a finite-time anti-disturbance control strategy for a single-link flexible manipulator system affected by external disturbances. The strategy combines a disturbance observer with a finite-time cont...
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1 Introduction and main contributions Identifying controllable number of data points from a large dataset to support multi-criteria decision-making is an important functionality of database systems,such as recommendat...
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1 Introduction and main contributions Identifying controllable number of data points from a large dataset to support multi-criteria decision-making is an important functionality of database systems,such as recommendation systems,search engines and information *** re-cent years,the k-rcgret query[1]has been studied.
Parkinson's disease (PD) is a neurodegenerative disease which is the second most common neurological disease. Early diagnosis of PD poses significant challenges as in earlier stages of PD, symptoms can't be cl...
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