IEEE

Information Retrieval: Recent Advances and Beyond

Abstract: This paper provides an extensive and thorough overview of the models and techniques utilized in the first and second stages of the typical information retrieval processing chain. Our ...
IEEE

Dynamic Key-Value Memory Networks With Rich Features for Knowledge Tracing

Abstract: Knowledge tracing is an important research topic in student modeling. The aim is to model a student’s knowledge state by mining a large number of exercise records. The dynamic key-value ...
IEEE

A Systematic Literature Review on Cloud Computing Security: Threats and Mitigation Strategies

Abstract: Cloud computing has become a widely exploited research area in academia and industry. Cloud computing benefits both cloud services providers (CSPs) and consumers. The security challenges ...
IEEE

Image quality assessment: from error visibility to structural similarity

Abstract: Objective methods for assessing perceptual image quality traditionally attempted to quantify the visibility of errors (differences) between a distorted image and a reference image using a ...
IEEE

Unscented filtering and nonlinear estimation

The extended Kalman filter (EKF) is probably the most widely used estimation algorithm for nonlinear systems. However, more than 35 years of experience in the estimation community has shown that is ...
IEEE

Single Image Haze Removal Using Dark Channel Prior

In this paper, we propose a simple but effective image prior-dark channel prior to remove haze from a single input image. The dark channel prior is a kind of statistics of outdoor haze-free images. It ...
IEEE

Long Short-Term Memory Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-Ion Batteries

Abstract: Remaining useful life (RUL) prediction of lithium-ion batteries can assess the battery reliability to determine the advent of failure and mitigate battery risk. The existing RUL prediction ...
IEEE

High-resolution frequency-wavenumber spectrum analysis

The output of an array of sansors is considered to be a homogeneous random field. In this case there is a spectral representation for this field, similar to that for stationary random processes, which ...
IEEE

A Theoretical Framework for Unsupervised Change Detection Based on Change Vector Analysis in the Polar Domain

Abstract: This paper addresses unsupervised change detection by proposing a proper framework for a formal definition and a theoretical study of the change vector analysis (CVA) technique. This ...
IEEE

A 40nm 2Mb ReRAM Macro with 85% Reduction in FORMING Time and 99% Reduction in Page-Write Time Using Auto-FORMING and Auto-Write Schemes

Abstract: This work proposes (1) an auto-forming (AF) scheme to shorten the macro forming time (TFM−M) and testing costs; (2) an auto-RESET (ARST) scheme to shorten page-RESET time (TW−PAGE−RST) for ...
IEEE

DeepComfort: Energy-Efficient Thermal Comfort Control in Buildings Via Reinforcement Learning

Abstract: Heating, ventilation, and air conditioning (HVAC) are extremely energy consuming, accounting for 40% of total building energy consumption. It is crucial to design some energy-efficient ...
IEEE

Learnability Enhancement for Low-Light Raw Image Denoising: A Data Perspective

Abstract: Low-light raw image denoising is an essential task in computational photography, to which the learning-based method has become the mainstream solution. The standard paradigm of the ...