Innovating Through Discovery

Publications serve as a cornerstone for disseminating research findings, enabling the sharing of knowledge and advancements within the scientific community. They provide a platform to document and communicate innovative ideas, methodologies, and discoveries, ensuring transparency and credibility in research. In the field of Artificial Intelligence, publishing work in reputable journals, conferences, and proceedings not only enhances the visibility of researchers but also fosters collaboration, drives innovation, and contributes to the collective progress of science and technology.

At our laboratory, we focus on groundbreaking research in Healthcare AI, particularly in areas such as predictive analytics, medical image analysis, and AI-powered diagnostics. Through publications, we aim to showcase advancements in these domains, highlighting how our work contributes to improving patient outcomes, optimizing healthcare processes, and addressing critical challenges in digital pathology and precision medicine.

1 A Novel Approach to Cognitive Load Measurement in N-back Tasks Using Wearable Sensors, Empirical Mode Decomposition with Machine Learning, and Explainable AI for Feature Importance (2025)
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1 Automated Pipeline for Robust Cat Activity Detection Based on Deep Learning and Wearable Sensor Data (2024)
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1 Deep learning-based anomaly detection using one-dimensional convolutional neural networks (1D CNN) in machine centers (MCT) and computer numerical control (CNC) machines (2024)
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1 Adversarial Training Based Domain Adaptation of Skin Cancer Images (2024)
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1 BFLIDS: Blockchain-Driven Federated Learning for Intrusion Detection in IoMT Networks (2024)
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1 Cervical Spine Fracture Detection and Classification Using Two-Stage Deep Learning Methodology (2024)
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1 Applications of Artificial Intelligence, Machine Learning, and Deep Learning in Nutrition: A Systematic Review (2024)
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1 Metaverse for Digital Anti-Aging Healthcare: An Overview of Potential Use Cases Based on Artificial Intelligence, Blockchain, IoT Technologies, Its Challenges, and Future Directions (2023)
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1 Region Segmentation of Whole-Slide Images for Analyzing Histological Differentiation of Prostate Adenocarcinoma Using Ensemble EfficientNetB2 U-Net with Transfer Learning Mechanism (2023)
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1 Developing a Low-Cost IoT-Based Remote Cardiovascular Patient Monitoring System in Cameroon (2022)
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1 Detection of COVID-19 in X-ray Images Using Densely Connected Squeeze Convolutional Neural Network (DCSCNN): Focusing on Interpretability and Explainability of the Black Box Model (2022)
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1 Long Short-Term Memory (LSTM)-Based Dog Activity Detection Using Accelerometer and Gyroscope (2022)
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1 Computer Vision Based Deep Learning Approach for the Detection and Classification of Algae Species Using Microscopic Images (2022)
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1 Activity Detection for the Wellbeing of Dogs Using Wearable Sensors Based on Deep Learning (2011)
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1 exture, Morphology, and Statistical Analysis to Differentiate Primary Brain Tumors on Two-Dimensional Magnetic Resonance Imaging Scans Using Artificial Intelligence Techniques (2022)
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1 Enhanced Resource Allocation in D2D Communications With NOMA and Unlicensed Spectrum (2018)
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1 Cluster Analysis of Cell Nuclei in H&E-Stained Histological Sections of Prostate Cancer and Classification Based on Traditional and Modern Artificial Intelligence Techniques (2021)
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1 Stock Market Prediction Using Machine Learning Techniques: A Decade Survey on Methodologies, Recent Developments, and Future Directions (2021)
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1 Remanufacturing for circular economy: Understanding the impact of manufacturer’s incentive under price competition (2021)
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1 A Soft Voting Ensemble-Based Model for the Early Prediction of Idiopathic Pulmonary Fibrosis (IPF) Disease Severity in Lungs Disease Patients (2021)
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1 Factors Affecting ESG towards Impact on Investment: A Structural Approach (2021)
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1 Blockchain-Based Model to Improve the Performance of the Next-Generation Digital Supply Chain (2021)
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1 Artificial Intelligence Is Reshaping Healthcare amid COVID-19: A Review in the Context of Diagnosis & Prognosis (2021)
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1 A Novel Sleep Scoring Algorithm-Based Framework and Sleep Pattern Analysis Using Machine Learning Techniques (2021)
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1 A Comprehensive Review on Multiple Instance Learning (2023)
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1 Exploring Deep Learning and Machine Learning Techniques for Histopathological Image Classification in Lung Cancer Diagnosis (2022)
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1 Domesticated Cat Activity Detection Using Deep Learning Technique (2024)
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1 Multiple Instance Learning: State-of-the-Art in Cancer Analysis, Applications & Future Potential (2024)
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1 Integrating Federated Machine Learning in Blockchain Crowdfunding Ecosystem for Increased Security and Transparency (2024)
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1 Optimizing longevity: Integrating Smart Nutrition and Digital Technologies for Personalized Anti-aging Healthcare (2023)
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1 Transformers Effectiveness in Medical Image Segmentation: A Comparative Analysis of UNet-Based Architectures (2023)
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1 Multi-Class Document Classification using LayoutLMv1 and V2 (2023)
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1 Vision Transformer-based Model for Gastric Cancer Detection and Classification using Weakly Annotated Histopathological Images (2023)
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1 Enhanced Experiences: Benefits of AI-Powered Recommendation Systems (2023)
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1 Machine Learning Based Techniques for the Prediction of Axillary Lymph Node Metastases in Early Breast Cancer (2020)
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1 Deep Learning Based Cervical Spine Bones Detection: A Case Study Using YOLO (2022)
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1 AI-Based Logistics System Overview and a Workflow for Digital Freight Forwarding in Logistics (2024)
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1 The Benefits of Integrating AI, IoT, and Blockchain in Healthcare Supply Chain Management: A Multi-Dimensional Analysis with Case Study (2024)
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1 Overview of the Potentials of Multiple Instance Learning in Cancer Diagnosis: Applications, Challenges, and Future Directions (2024)
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1 Leveraging Deep Learning for Automated Analysis of Colorectal Cancer Histology Images to Elevate Diagnosis Precision (2023)
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1 Classifying Gastric Cancer Carcinoma Stages with Deep Semantic Features and GLCM Texture Features (2018)
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1 Technological Roadmap of the Future Trend of Metaverse based on IoT, Blockchain, and AI Techniques in Metaverse Education (2020)
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1 Blockchain System for Trustless Healthcare Data Sharing with Hyperledger Fabric in Action (2019)
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1 Medical Education, Training and Treatment Using XR in Healthcare (2024)
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1 Applications and Possible Challenges of Healthcare Metaverse (2023)
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1 The metaverse applications for the finance industry, its challenges, and an approach for the metaverse finance industry (2024)
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1 Computer Vision-Based Military Tank Recognition Using Object Detection Technique: An application of the YOLO Framework (2018)
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1 Cluster Analysis: Unsupervised Classification for Identifying Benign and Malignant Tumors on Whole Slide Image of Prostate Cancer (2024)
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1 Invasive Region Segmentation using Pre-trained UNet and Prognosis Analysis of Breast Cancer based on Tumor-Stroma Ratio (2024)
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1 Multiclass-Classification of Algae using Dc-GAN and Transfer Learning (2022)
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1 An Explainable Computer Vision in Histopathology: Techniques for Interpreting Black Box Model (2024)
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1 Whole Slide Image Analysis and Detection of Prostate Cancer using Vision Transformers (2021)
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1 Overview: Technology Roadmap of the Future Trend of Metaverse based on IoT, Blockchain, AI Technique, and Medical Domain Metaverse Activity (2021)
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1 Protecting Personal Healthcare Record Using Blockchain & Federated Learning Technologies (2023)
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1 A Transfer Learning Approach for Identification of Distracted Driving (2023)
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1 지식베이스와 카테고리를 활용한 Bert 발화 의도 분류 성능 향상 기법 (2024)
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1 쇄골 골절부위 치료를 위한 해부학적 임플란트 형상 설계 (2023)
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1 가상· 증강 현실을 이용한 원전 작업에서의 활용 방안 (2022)
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1 ICT 기반 비대면 재난심리지원의 가능성과 한계에 대한 고찰 (2021)
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1 시계열 DB 를 이용한 생체신호 데이터 수집 및 모니터링 시스템 (2021)
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1 액티브 시니어를 위한 스마트 뷰티케어 활성화 연구-퍼스널컬러 진단 시스템을 중심으로 (2021)
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1 최고정보책임자 (CIO) 의 리더십이 ICT 산업에 미치는 영향-변혁적 리더십을 중심으로 (2021)
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1 Multi-class classification of histopathology images using fine-tuning techniques of transfer learning (2021)
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1 치과 병의원내에서 디지털방식으로 제작하는 고정성 보철물의 임상증례 (2021)
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1 Predicting idiopathic pulmonary fibrosis (IPF) disease in patients using machine approaches (2021)
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