Towards edge-collaborative,lightweight and secure region proposal network by Jinbo XIONG, Renwan BI, Qianxin CHEN, Ximeng LIU

“…Aiming at the problem of image privacy leakage and computing efficiency in edge environment,a lightweight and secure region proposal network (SecRPN) was proposed.A series of secure computing protocols were designed based on the additive secret sharing scheme.Two non-collusive edge servers cooperate to perform calculation modules such as secure feature processing,secure anchor transformation,secure bounding-box correction,and secure non-maximum suppression.Theoretical analysis guarantees the correctness and security of SecRPN.The actual performance evaluation shows that SecRPN is outstanding in the computational cost and communication overhead compared with the existing works.…”
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Transforming Farming with Technology: A Smart Novel Agriculture Framework and Infrastructure. by Mushtaque Ahmed Rahu

“…It includes communication technologies, IoT, WSN, autonomous vehicles, computing, and data processing. We also analyze the disparities between traditional and smart agriculture across various parameters. …”
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Uncertain edge coalition game based EIP revenue estimation strategy by ZHAO Shuxu, XIA Xinyu, WANG Xiaolong

“…In the edge computing environment, there are risks such as communication channel risks and edge server failures, which can lead to a mismatch between the computing resources required for task processing and the resources allocated by the edge coalition. …”
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Product collaborative filtering based recommendation systems for large-scale E-commerce by Trang Trinh, Van-Ho Nguyen, Nghia Nguyen, Duy-Nghia Nguyen

“…This paper introduces a product-based collaborative filtering approach utilizing Apache Spark, a powerful parallel processing framework to address the scalability issues of recommender systems in the cloud computing environment. …”
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Application of edge-cloud collaborative intelligence technologies in power grids by Qing HAN, Kunlun GAO, Ting ZHAO, Jiangqi CHEN, Xinyu YANG, Shusen YANG

“…With the continuous development of the Internet of things on electricity (IoTE) and large-scale deployment of intelligent edge devices, an explosively increasing amount of data are being generated at the network edge.The efficient, fast and secure processing and analysis of the massive edge located data brings great challenges for the traditional cloud computing-based intelligence technologies.Instead, edge-cloud collaborative intelligence (ECCI) technologies can significantly outperform the cloud computing-based intelligence in terms of the network bandwidth saving, delay reduction and privacy protection, and therefore have shown a great potential in boosting the development of power grids.To investigate the application of ECCI in power grids, the concept and research progress of ECCI were firstly introduced.The characteristics and advantages of ECCI were summarized and its applicability in the power grids were discussed.Secondly, the key technologies of ECCI applications for power grids were discussed and the solutions based on ECCI technologies for two typical scenes were proposed respectively.Finally, a brief discussion of future work was given.…”
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Enabling Eye Tracking for Crowd-Sourced Data Collection With Project Aria by Yusuf Mansour, Ajoy Savio Fernandes, Kiran Somasundaram, Tarek Hefny, Mahsa Shakeri, Oleg V. Komogortsev, Abhishek Sharma, Michael J. Proulx

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Prediction and Correction of Software Defects in Message-Passing Interfaces Using a Static Analysis Tool and Machine Learning by Norah Abdullah Al-Johany, Fathy Elbouraey Eassa, Sanaa Abdullah Sharaf, Amin Y. Noaman, Asaad Ahmed

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Crowdsourcing Content Guidance by Sabrina Zanello Jackson

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Artificial Intelligence Application Open Platform for Rail Transit by LIN Jun, LIU Yue, WANG Quandong, YOU Jun, DING Chi, LIU Ren

“…It builds connection between model training, edge computing and cloud-edge collaboration, and provides full-process AI application development solutions. …”
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Feature selection‐based android malware adversarial sample generation and detection method by Xiangjun Li, Ke Kong, Su Xu, Pengtao Qin, Daojing He

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An integration of segmentation technique on edge devices for license plate recognition by Duy Dieu Nguyen, Tan Sang Vo, Manh Hung Le, Minh Son Nguyen

“…To address these limitations, we propose a solution that deploys license plate recognition algorithms on edge computing devices, reducing the load on both infrastructure and centralised systems. …”
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Approaches to Identifying Emotions and Affections During the Museum Learning Experience in the Context of the Future Internet by Iana Fominska, Stefano Di Tore, Michele Nappi, Gerardo Iovane, Maurizio Sibilio, Angela Gelo

“…This paper presents a computational model aimed at enhancing the emotional aspect of learning experiences within museum environments. …”
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A Real-Time Fish Detection System for Partially Dewatered Fish to Support Selective Fish Passage by Jonathan Gregory, Scott M. Miehls, Jesse L. Eickholt, Daniel P. Zielinski

“…Open source software and edge computing design principles were employed to ensure that the system is capable of fast data processing. …”
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Anomaly Detection in Elderly Health Monitoring via IoT for Timely Interventions by Cosmina-Mihaela Rosca, Adrian Stancu

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Self-trainable and adaptive sensor intelligence for selective data generation by Arghavan Rezvani, Wenjun Huang, Hanning Chen, Yang Ni, Mohsen Imani

“…Many IoT applications depend on complex computations performed on server-side infrastructure, necessitating efficient methods to reduce unnecessary data transmission. …”
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Trusted Web Service Discovery Based on a Swarm Intelligence Algorithm by Zhengwang Ye, Hehe Sheng, Haiyang Zou

“…During the evaluation process, the trust model employs a pseudo-stochastic proportion to select nodes, where nodes with higher reputation have a greater probability of being chosen. …”
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Asymmetric Network Based on CNN and Attention Mechanisms for Thyroid Nodule Segmentation by Zhiheng Zhang, Lin Li, Cheng Zhao, Peng Ren, Ran Zhang

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Enhancing the security of memory in cloud infrastructure through in‐phase change memory data randomisation by Xianzhong Zhou, Ying Wang

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Implementing Low Latency and High Energy Efficiency Task Scheduling in MEC Systems Using Improved DDPG Algorithm by Lihong Zhao, Xiaomei Ding, Shuqin Wang

“…The Mobile Edge Computing (MEC) system is crucial in modern networks, particularly for applications requiring low latency and high energy efficiency. …”
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A novel quality of service-oriented Spark job scheduler by HE Yulin, MO Peiheng, Fournier-Viger Philippe, HUANG Zhexue

“…Spark is a widely-used big data computing framework to process and analyze the explosive-growing data. …”
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