Weakly-Supervised Learning (WSL) has been increasingly concerned in Whole-Slide Image (WSI) classification, meanwhile, an open question arises: could WSL-based models provide us with an accurate interpretation of thei...
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In recent years, researchers have proposed a variety of machine learning and deep learning-based techniques to process EEG signals, such as support vector machines, deep learning algorithms, and graph neural networks ...
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Complex segregation occurs in a binary particle system with differing particle sizes and densities,particularly when the larger particles are heavier(S–D system,i.e.,size minus density system).Predicting the segregat...
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Complex segregation occurs in a binary particle system with differing particle sizes and densities,particularly when the larger particles are heavier(S–D system,i.e.,size minus density system).Predicting the segregation pattern driven by multiple mechanisms simultaneously is often *** study explores the segregation mechanisms in a quasi-2D circular drum containing a S–D system,realizing a transition between the S-core and Core-and-band patterns by adjusting the drum rotation *** the transition of the segregation pattern,only the S-core pattern chiefly driven by the percolation mechanism is initially *** the rotation speed increases,the buoyancy mechanism and particle diffusion gradually strengthen,jointly driving the formation of the Core-and-band pattern.A dimensionless strength ratio,λ=H/h,where H and h respectively represent the diffusion and buoyancy strengths at length scales,is introduced to elucidate this *** Core-and-band pattern emerges whenλreached 1.4.
The RGB-D cross-modal person re-identification task is a branch of the cross-modal person re-identification task, aiming to match pedestrian images between RGB and depth modalities. Its main challenge lies in the sign...
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With the continuous advancement of medical devices, a substantial amount of data is generated within the healthcare environment daily. Consequently, cloud computing technology is being employed to securely store, proc...
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Precision agriculture uses data gathered from various sources to improve agricultural yields and the effectiveness of crop management techniques like fertiliser application, irrigation management, and pesticide applic...
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The Integrated Health Profile (IHP) leverages blockchain technology and smart contracts to establish a decentralized and tamper-resistant platform for the storage and sharing of decentralized health records (DHRs). Se...
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ISBN:
(纸本)9798350328202
The Integrated Health Profile (IHP) leverages blockchain technology and smart contracts to establish a decentralized and tamper-resistant platform for the storage and sharing of decentralized health records (DHRs). Secured remote access to doctor-patient data is the need of the hour as the world moves towards home-based online services. In the IHP, each patient is assigned a unique identifier, and their health records are securely stored and linked to this identifier. The implementation of an individualized IHP card is the center of the IHP framework, which serves as a comprehensive repository for a patient's health records, including reports, prescriptions, medical bills, and insurance receipts. The IHP card is equipped with a unique QR code linked to the patient's unique identifier (UID). When scanned by a medical practitioner, the patient receives a one-time password (OTP) via a two-factor authentication process, providing an additional layer of consent and security. Upon successful verification, the doctor gains access to a specific subset of the patient's shared records, ensuring the patient's privacy is respected. The IHP framework significantly streamlines the customer intake process, eliminating the need for manual data entry at healthcare facility receptions. This reduction in administrative tasks minimizes waiting times and improves overall operational efficiency. Furthermore, by integrating the customer's medical history with the IHP card, medical service providers gain comprehensive insights into the customer's health status, facilitating accurate diagnoses and personalized treatment plans. To enable efficient healthcare service discovery, the IHP framework utilizes standardized application programming interfaces (APIs) to connect customer-centric applications (CCAs) with medical service provider applications (MSPs). Through these APIs, CCAs can access real-time information on available healthcare facilities, ensuring customers receive accurate and up-to
Border Gateway Protocol(BGP)is a standard inter-domain routing protocol for the Internet that conveys network layer reachability information and establishes routes to different *** BGP protocol exhibits security desig...
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Border Gateway Protocol(BGP)is a standard inter-domain routing protocol for the Internet that conveys network layer reachability information and establishes routes to different *** BGP protocol exhibits security design defects,such as an unconditional trust mechanism and the default acceptance of BGP route announcements from peers by BGP neighboring nodes,easily triggering prefix hijacking,path forgery,route leakage,and other BGP security ***,the traditional BGP security mechanism,relying on a public key infrastructure,faces issues like a single point of failure and a single point of *** decentralization,anti-tampering,and traceability advantages of blockchain offer new solution ideas for constructing secure and trusted inter-domain routing *** this paper,we summarize the characteristics of BGP protocol in detail,sort out the BGP security threats and their ***,we analyze the shortcomings of the traditional BGP security mechanism and comprehensively evaluate existing blockchain-based solutions to address the above problems and validate the reliability and effectiveness of blockchain-based BGP security methods in mitigating BGP security ***,we discuss the challenges posed by BGP security problems and outline prospects for future research.
EconVisor is an interactive time series analysis application designed to assist users in predicting Indian economic indicators such as GDP, sales, employment opportunities, and other relevant information. This predict...
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Early and accurate lung cancer detection is crucial for improved patient outcomes. This research proposes a hybrid framework combining traditional image processing techniques and machine learning for enhanced lung can...
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