The most difficult risks in cyber world are insider threats, because of the modest nature of the insider threat it is quite difficult to identify attackers. Over the last few decades, insider threat detection has rise...
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We have built openGauss,an enterprise-grade open-source database *** has fulfilled its design goal of high performance,high availability,high security,and high *** high performance,it leverages NUMA(non-uniform memory...
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We have built openGauss,an enterprise-grade open-source database *** has fulfilled its design goal of high performance,high availability,high security,and high *** high performance,it leverages NUMA(non-uniform memory access)-aware data access among multiple cores to enable efficient concurrent transaction processing,and symmetric multi-processing to make use of parallel processing resources ***,memory-optimized tables(MOTs)are designed to put everything in *** high availability,a three-tier pooling architecture that shares storage among the master and standby instances is proposed to achieve availability at 99.99%,containing both a distributed memory service(DMS)and a distributed storage service(DSS).For high security,it is a fully encrypted database with safe storage features,efficient complex querying,and *** high intelligence,an AI-based optimizer in the kernel and a self-driving platform named DBMind are demonstrated to achieve better performance and greater *** has served over 150 enterprises and institutions since its release in *** share the lessons we learned from its development and operation,and our customers.
Artificial intelligence (AI) and machine learning (ML) algorithms are gaining acceptance in the field of health care analytics due to their effectiveness in terms of precision and prediction accuracy. A semi-supervise...
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Ensuring secure and accurate node localization in Underwater Wireless Sensor Networks (UWSN) is a significant challenge, as conventional methods tend to neglect the security risks associated with malicious node interf...
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This research concentrates on author profiling using transfer learning models for classifying age and gender. The investigation encompassed a diverse set of transfer learning techniques, including Roberta, BERT, ALBER...
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Smart farming has become a strategic approach of sustainable agriculture management and monitoring with the infrastructure to exploit modern technologies,including big data,the cloud,and the Internet of Things(IoT).Ma...
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Smart farming has become a strategic approach of sustainable agriculture management and monitoring with the infrastructure to exploit modern technologies,including big data,the cloud,and the Internet of Things(IoT).Many researchers try to integrate IoT-based smart farming on cloud platforms *** define various frameworks on smart farming and monitoring system and still lacks to define effective data management *** IoT-cloud systems involve massive structured and unstructured data,data optimization comes into the ***,this research designs an information-Centric IoT-based Smart Farming with Dynamic Data Optimization(ICISF-DDO),which enhances the performance of the smart farming infrastructure with minimal energy consumption and improved ***,a conceptual framework of the proposed scheme and statistical design model has beenwell *** information storage and management with DDO has been expanded individually to show the effective use of membership parameters in data *** simulation outcomes state that the proposed ICISF-DDO can surpass existing smart farming systems with a data optimization ratio of 97.71%,reliability ratio of 98.63%,a coverage ratio of 99.67%,least sensor error rate of 8.96%,and efficient energy consumption ratio of 4.84%.
This study introduces a deep learning methodology for the automated identification of tissue regions indicative of Invasive Ductal Carcinoma (IDC) within Whole Slide Images (WSI) associated with breast cancer. Deep le...
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This paper presents an innovative approach to acoustic echo cancellation (AEC) by applying Variable Step Size (VSS) separately to each adaptive filtering technique: Normalized Least Mean Square (NLMS), and Proportiona...
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The concept of Agentic AI, which focuses on empowering autonomous systems with human-like decision-making capabilities, has gained substantial attention in recent years. By leveraging advanced reinforcement learning (...
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Security has grown to be of utmost importance to both organizations and individuals in the current digital age. It has been shown that conventional centralized systems are susceptible to hacks, data breaches, identity...
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