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A scientific paper recommendation method using the time decay heterogeneous graph
Finding appropriate and relevant papers about a project in various digital libraries with millions of scientific papers is challenging for...
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AVSDA: Autonomous Vehicle Security Decay Assessment
Security practices become weaker over time as attackers’ capabilities evolve. Security decay within vehicle software systems can have devastating...
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18 million links in commit messages: purpose, evolution, and decay
Commit messages contain diverse and valuable types of knowledge in all aspects of software maintenance and evolution. Links are an example of such...
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A Digital Body Farm for Collecting Deleted File Decay Data
Recovering deleted data can be a time-consuming task during digital forensic investigations. As tedious as the task is, it may not produce useful...
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Analysis of Radioactive Decay Based Entropy Generator in the IoT Environments
In cryptography, random numbers are the most important element for security. Random numbers are generated through RNG (Random Number Generator), and...
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GADN: GCN-Based Attentive Decay Network for Course Recommendation
Course recommendation in online platforms aims to address the information explosion problem and make personalized recommendations for users. Most of...
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General Decay Synchronization of Fuzzy Inertial Memristive Neural Networks with Discontinuous Activation Function
This paper studied the general decay synchronization (GDS) of fuzzy inertial memristive neural networks (FIMNNs) with mixed delays and discontinuous...
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Breaking Time Invariance: Assorted-Time Normalization for RNNs
Methods such as Layer Normalization (LN) and Batch Normalization have proven to be effective in improving the training of Recurrent Neural Networks...
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Mittag–Leffler stability of numerical solutions to time fractional ODEs
The asymptotic stable region and long-time decay rate of solutions to linear homogeneous Caputo time fractional ordinary differential equations...
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Enhanced Time-Aware Collaborative Filtering for QoS Web Service Prediction
Predicting Quality of Service (QoS) is an essential task in Service Oriented Computing (SOC). In service selection, choosing the right services is a...
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Time-aware neural ordinary differential equations for incomplete time series modeling
Internet of Things realizes the ubiquitous connection of all things, generating countless time-tagged data called time series. However, real-world...
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Sliding modes: from asymptoticity, to finite time and fixed time
This paper proposes a new fixed-time sliding mode (FSM) control, where the settling time for reaching the system origin is bounded to a constant...
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Time and value aware influence blocking maximization in geo-social networks
The influence blocking maximization (IBM) problem aims to identify the most influential set of positive nodes in a social network to prevent the...
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Thompson Sampling with Time-Varying Reward for Contextual Bandits
Contextual bandits efficiently solve the exploration and exploitation (EE) problem in online recommendation tasks. Most existing contextual bandit...
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A Preliminary Effort to Develop a Framework of Distance Decay Functions for New Urban Active Mobility
Sustainable mobility in urban areas has made a giant leap forward with the widespread diffusion of muscular bike, e-bike and e-scooter in the last...
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Time Series
There is a very old story about time series analysis. In ancient Egypt 7000 years ago, people recorded the ups and downs of the Nile River day by day...
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A collaborative filtering recommendation system with dynamic time decay
The collaborative filtering (CF) technique has been widely utilized in recommendation systems due to the precise prediction of users' interests. Most...
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LW-DeepFakeNet: a lightweight time distributed CNN-LSTM network for real-time DeepFake video detection
With the large-scale and pervading social media platforms and the recent advances in generative deep learning techniques, it is nowadays quite common...
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Time-sensitive propagation values discount centrality measure
The detection of influential individuals in social networks is called influence maximization which has many applications in advertising and...
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Stock Price Prediction Using Time Series
The stock price of a commodity is an essential factor for determining market volatility. Exact prediction of stock price and forecasting the market...