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Secure Mutual Aid Service Scheme Based on Blockchain and Attribute-Based Encryption in Time Bank
Time bank is a new model intended to supplement traditional pension systems and alleviate social pension pressure. However, the existing time bank...
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The Group Right to Mutual Privacy
Contemporary privacy challenges go beyond individual interests and result in collective harms. To address these challenges, this article argues for a...
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LFM-C: A Friend Recommendation Algorithm for Campus Mutual Aid System
At present, the campus mutual aid system in colleges and universities is increasingly prevalent, but generally, such systems lack the function of...
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A New Home-Based Pension Mutual Aid Framework Based on Blockchain
In the context of the public’s response to home-based care, the “Time Bank” care model has attracted more and more attention as an effective...
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Federated mutual learning: a collaborative machine learning method for heterogeneous data, models, and objectives
Federated learning (FL) is a novel technique in deep learning that enables clients to collaboratively train a shared model while retaining their...
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Enhancing aspect-based sentiment analysis with dependency-attention GCN and mutual assistance mechanism
Aspect-based sentiment analysis (ABSA) has been extensively studied in recent years. It involves several subtasks for extracting one or more...
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A Combined Approach of PUF and Physiological Data for Mutual Authentication and Key Agreement in WMSN
Wireless Medical Sensor Network (WMSN) is a kind of Ad-hoc Network that is used in the health sector to continuously monitor patients’ health...
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Open-Set Adversarial Defense with Clean-Adversarial Mutual Learning
Open-set recognition and adversarial defense study two key aspects of deep learning that are vital for real-world deployment. The objective of...
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A Study on the Application of Innovative Strategies on Intelligent Mutual-Aid Delivery Services on College Campuses
As China’s e-commerce has entered an “Internet+” era in recent years, the number of express parcels on college campuses has been soaring...
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Blockchain-Based Secure Mutual Authentication Scheme for Drone-GSS Communication in Internet of Drones Environment
Drones are becoming increasingly common and are used for a variety of purposes, such as delivery, military, and surveillance. They are becoming more...
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Automated Cancer Subty** via Vector Quantization Mutual Information Maximization
Cancer subty** is crucial for understanding the nature of tumors and providing suitable therapy. However, existing labelling methods are medically...
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Solidarity not Charity! Empowering Local Communities for Disaster Relief during COVID-19 through Grassroots Support
The COVID-19 pandemic brought wide-ranging, unanticipated societal changes as communities rushed to slow the spread of the novel coronavirus. In...
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History of Dekker’s Algorithm for Mutual Exclusion
The author describes where, when, and how Edsger Dijkstra presented to him the problem of mutual exclusion for two processes as an open problem, and...
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BipNRL: Mutual Information Maximization on Bipartite Graphs for Node Representation Learning
Unsupervised representation learning on bipartite graphs is of particular interest due to the lack of explicit labels and its application in a...
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Incorporating Design Thinking Approach to the Mutual Learning Process: A Case Study of Participatory Design with Senior Daycare Workers
Participatory Design (PD) originated in Scandinavia in the 1970s. Then it shaped the approaches of striving for power balance in the decision-making...
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Four-factor mutual authentication scheme for health-care based on wireless body area network
Health-care is one of the major concerns for every individual; however, it is not always possible to physically visit the health-care center in...
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A Stage-Mutual-Affine Network for Single Remote Sensing Image Super-Resolution
The deep neural network (DNN) has made significant progre-ss in the single remote sensing image super-resolution (SRSISR). The success of DNN-based...
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A computer-aid multi-task light-weight network for macroscopic feces diagnosis
The abnormal traits and colors of feces typically indicate that the patients are probably suffering from tumor or digestive-system diseases. Thus a...
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Research on the Interaction Design of Teaching Aid Products Based on the Concept of Modularity
This thesis gives analyses and summary on the requirements of teaching aids for primary school classrooms from different aspects through...
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Graph Contrastive Learning with Constrained Graph Data Augmentation
Studies on graph contrastive learning, which is an effective way of self-supervision, have achieved excellent experimental performance. Most existing...
