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Enabling real time big data solutions for manufacturing at scale
Journal of Big Data, 2022 Today we create and collect more data than we have in the past. All this data comes from different sources, including social media platforms, our phones and computers, healthcare gadgets and wearable technology, scientific instruments, financial ...
Altan Cakir +3 more
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Quantum-aided secure deep neural network inference on real quantum computers
Scientific Reports, 2023 Deep neural networks (DNNs) are phenomenally successful machine learning methods broadly applied to many different disciplines. However, as complex two-party computations, DNN inference using classical cryptographic methods cannot achieve unconditional ...
Hanqiao Yu +4 more
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Deep Learning-Based Log Parsing for Monitoring Industrial ICT Systems
Applied Sciences, 2023 For rapidly developing smart manufacturing, Industrial ICT Systems (IICTSs) have become critical to safe and reliable production, and effective monitoring of complex IICTSs in practice is necessary but challenging.
Yuqian Yang, Bo Wang, Cong Zhao
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Applied Sciences, 2021 As the e-commerce market grows worldwide, personalized recommendation services have become essential to users’ personalized items or services. They can decrease the cost of user information exploration and have a positive impact on corporate sales growth.
Qinglong Li +3 more
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A CNN-Based Advertisement Recommendation through Real-Time User Face Recognition
Applied Sciences, 2021 The advertising market’s use of smartphones and kiosks for non-face-to-face ordering is growing. An advertising video recommender system is needed that continuously shows advertising videos that match a user’s taste and displays other advertising videos ...
Gihwi Kim +3 more
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IEEE Access, 2021 Differentially private stochastic gradient descent (DP-SGD) that perturbs the clipped gradients is a popular approach for private machine learning. Gaussian mechanism GM, combined with the moments accountant (MA), has demonstrated a much better privacy ...
Yanan Li +3 more
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IEEE Access, 2023 The oceans are a source of an impressive mixture of complex data that could be used to uncover relationships yet to be discovered. Such data comes from the oceans and their surface, such as Automatic Identification System (AIS) messages used for tracking
Gabriel Spadon +3 more
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International Journal of Engineering Technologies and Management Research, 2020 The use of digital devices and systems such smart phones, computers, the Internet, and social media has resulted in a massive volume of data which is exponentially increasing daily. Such data is processed using multiple techniques, collectively known as big data analytics.
Matthew N.O. Sadiku +2 more
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Analyzing the Impact of Components of Yelp.com on Recommender System Performance: Case of Austin
IEEE Access, 2022 As people’s demand for eating out is steadily increasing, the number of restaurants is continuously increasing, and catering industry platforms such as Yelp, Open Table, and Zomato provide basic information and evaluation information of ...
Seungwoo Lee +3 more
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Approximate computation for big data analytics [PDF]
ACM SIGWEB Newsletter, 2021 Over the past a few years, research and development has made significant progresses on big data analytics. A fundamental issue for big data analytics is the efficiency. If the optimal solution is unable to attain or unnecessary or has a price to high to pay, it is reasonable to sacrifice optimality with a "good" feasible solution that can ...
Shuai Ma 0001, Jinpeng Huai
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