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Article
4T-Net: Multitask deep learning for nuclear analysis from pathology images
Nuclear identification provides nuclear morphology features, distribution, quantity, and other essential features for diagnosing and treating diseases, especially cancer. However, manual nuclear identification...
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Article
When does temperature matter? Response of rice arsenic to heat exposure during different developmental stages
Arsenic is a frequent contaminant of rice. Recent studies show that elevated temperatures, like those from climate change, can further increase arsenic concentrations in rice. It is still unclear if the timing...
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Article
Protecting Small-Scale Enterprises: Evidence from the Korean Ready-Mixed Concrete Industry
Korea revived its small-scale industry (SSI) reservation policy in the early 2010s to protect small businesses and promote their competitiveness. However, whether this size-contingent entry regulation causes a...
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Article
Solar, fuel, and battery cell-based small-scale hybrid power systems for long-term environmental monitoring using wireless sensors
To provide stable energy for environmental sensors, we design a small-scale hybrid power system (SS-HPS) comprising a silicone-based solar cell (SC), polymer electrolyte membrane-based fuel cell (FC), and lith...
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Chapter and Conference Paper
Affective Behavior Analysis Using Action Unit Relation Graph and Multi-task Cross Attention
Facial behavior analysis is a broad topic with various categories such as facial emotion recognition, age, and gender recognition. Many studies focus on individual tasks while the multi-task learning approach ...
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Chapter and Conference Paper
Edge Based Architecture for Total Energy Regression Models for Computational Materials Science
It is widely acknowledged that artificial intelligence (AI) technology has been extensively applied and has achieved remarkable advancements in various fields. The field of computational materials science has ...
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Chapter and Conference Paper
Multiscale Transformer-Based for Multimodal Affective States Estimation from Physiological Signals
In recent times, the estimation of affective states from physiological data has garnered considerable attention within the research community owing to its wide-ranging applicability in daily life scenarios. Th...
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Chapter and Conference Paper
Educational Data Mining in Prediction of Students’ Learning Performance: A Sco** Review
Students’ academic achievement is always a target of concern for educational institutions. Nowadays, the rapid development of digital transformation has resulted in huge amounts of data being generated by Lear...
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Chapter and Conference Paper
Deep Learning Based Ensemble Approach for 3D MRI Brain Tumor Segmentation
Brain tumor segmentation has wide applications and important potential values for glioblastoma research. Because of the complexity of the structure of subtype tumors and the different visual scenes of multi mo...
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Article
Open AccessDeep neural network-based fusion model for emotion recognition using visual data
In this study, we present a fusion model for emotion recognition based on visual data. The proposed model uses video information as its input and generates emotion labels for each video sample. Based on the vi...
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Article
Mechanical behavior of ABS plastic-matrix nanocomposites with three different carbon-based nanofillers
Acrylonitrile butadiene styrene (ABS) polymer nanocomposite thin films with carbon-based nanofillers (CBNs: fullerene, carbon nanotubes, and graphene) were fabricated in a wet reversal process followed by hot ...
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Article
Open AccessSurvival time prediction by integrating cox proportional hazards network and distribution function network
The Cox proportional hazards model is commonly used to predict hazard ratio, which is the risk or probability of occurrence of an event of interest. However, the Cox proportional hazard model cannot directly g...
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Article
Open AccessReal-time virtual mouse system using RGB-D images and fingertip detection
A real-time fingertip-gesture-based interface is still challenging for human–computer interactions, due to sensor noise, changing light levels, and the complexity of tracking a fingertip across a variety of su...
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Article
Open AccessKorean video dataset for emotion recognition in the wild
Emotion recognition is one of the hottest fields in affective computing research. Recognizing emotions is an important task for facilitating communication between machines and humans. However, it is a very cha...
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Chapter and Conference Paper
The 2nd Korean Emotion Recognition Challenge: Methods and Results
The \(2^{nd}\) 2 ...
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Article
Multiple human tracking in drone image
Object tracking, especially human tracking is one of the challenging research problems in computer vision. Although the performance has gained some positive changes recently, there is still room for improvemen...
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Chapter and Conference Paper
I Know Where to Find What You Want: Semantic Data Map from Silos
Data-driven analysis is critically important for creating new insights and values; however, data silos prevent a full utilization of existing data. To overcome this issue, we propose Semantic Data MAP (SD-MAP). S...
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Article
Open AccessIncorporation of Nanostructured Carbon Composite Materials into Counter Electrodes for Highly Efficient Dye-Sensitized Solar Cells
Dye-sensitized solar cells (DSSCs) composed of nanostructured carbon composite materials-stacked counter electrodes (CEs) were fabricated in the present study. As the potential replacement of expensive platinu...
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Article
Do Endophytes Promote Growth of Host Plants Under Stress? A Meta-Analysis on Plant Stress Mitigation by Endophytes
Endophytes are microbial symbionts living inside plants and have been extensively researched in recent decades for their functions associated with plant responses to environmental stress. We conducted a meta-a...
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Article
Music symbol recognition by a LAG-based combination model
Most of optical music recognition (OMR) systems work under the assumption that the input image is scanner-based. However, we propose in this paper, camera based OMR system. Camera based OMR has a challengeable...
