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A rest-time-based prognostic model for remaining useful life prediction of lithium-ion battery
This paper proposes a novel empirical model for the remaining useful life prediction of lithium-ion battery. The proposed model is capable of...
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Miscellaneous Topics
In practice, reinforcement learning is comparatively more challenging for a beginner to use than supervised learning algorithms. The challenges of...
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Methodological Approach for Evaluating the Impact of Electric Vehicles on Power Distribution Networks
The future of transport will be based on electrical energy, but the transition from fossil fuels will not be easy and will lead to a fundamental...
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Exploring Parental Mediation of Internet Use Through Young Children's Perspective
The purpose of this study was to investigate the parental mediation of children’s internet use from middle school students’ point of view. In doing...
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ME-CCNN: Multi-encoded images and a cascade convolutional neural network for breast tumor segmentation and recognition
Breast tumor segmentation and recognition from mammograms play a key role in healthcare and treatment services. As different tumors in mammography...
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SulSite-GTB: identification of protein S-sulfenylation sites by fusing multiple feature information and gradient tree boosting
Protein cysteine S-sulfenylation is an essential and reversible post-translational modification that plays a crucial role in transcriptional...
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Comparative Study of Spatial Prediction Models for Estimating PM \(_{2.5}\) Concentration Level in Urban Areas
Having accurate spatial prediction models of air pollutant concentrations can be very helpful to alleviate the shortage of monitoring stations,...
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Hybrid learning model for spatio-temporal forecasting of PM\(_{2.5}\) using aerosol optical depth
Existence of several challenges and high cost in the development of monitoring infrastructure have become major reasons for data sparsity by...
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Directional Hinge Features for Writer Identification: The Importance of the Skeleton and the Effects of Character Size and Pixel Intensity
Directional features such as Skeleton Hinge Distribution are not computationally expensive, are fast, easy to explain and very efficient in...
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FRA and EKF Based State of Charge Estimation of Zinc-Nickel Single Flow Batteries
The reliable state of charge (SOC) estimation is indispensable for flow batteries to maintain the safe and reliable operation. The widely adopted...
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A practical guide on conducting eye tracking studies in software engineering
For several years, the software engineering research community used eye trackers to study program comprehension, bug localization, pair programming,...
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How do urban mobility (geo)graph’s topological properties fill a map?
Urban mobility data are important to areas ranging from traffic engineering to the analysis of outbreaks and disasters. In this paper, we study...
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Nexus among cyberloafing behavior, job demands and job resources: A mediated-moderated model
This study examines the influence of job demands and job resources on cyberloafing behavior through the mediating role of job stress and work...
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Budgeting and Cloud Economics
How much value does the CIO’s IT shop deliver? This is the most common debate on whether an organization can or should move to the cloud. Cloud...
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IO-Related Wait Types
In this chapter, we will examine IO-related wait types in the broadest sense of the term. I say “broadest” because the selected wait types are also...
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Applications and Approaches for Texture Analysis and Their Modern Evolution
In this research work, we have presented a detailed study of various methods used for the texture analysis. These methods are classified as...
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Survey of automatic plankton image recognition: challenges, existing solutions and future perspectives
Planktonic organisms including phyto-, zoo-, and mixoplankton are key components of aquatic ecosystems and respond quickly to changes in the...
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Significance of Virtual Battery in Modern Industrial Cyber-Physical Systems
Many companies are facing challenges in today's competitive environment while handling big data issues for rapid decision-making and productivity....
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Wilms’ Tumor in Childhood: Can Pattern Recognition Help for Classification?
Wilms’ tumor or nephroblastoma is a kidney tumor and the most common renal malignancy in childhood. Clinicians assume that these tumors develop from...