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 (2024)
View Details
2. Automated Pipeline for Robust Cat Activity Detection Based on Deep Learning and Wearable Sensor Data (2024)
View Details
3. Deep learning-based anomaly detection using one-dimensional convolutional neural networks (1D CNN) in machine centers (MCT) and computer numerical control (CNC) machines (2024)
View Details
4. Adversarial training based domain adaptation of skin cancer images (2024)
View Details
5. BFLIDS: Blockchain-driven federated learning for intrusion detection in IoMT networks (2024)
View Details
6. Cervical spine fracture detection and classification using two-stage deep learning methodology (2024)
View Details
7. Applications of artificial intelligence, machine learning, and deep learning in nutrition: a systematic review (2024)
View Details
8. 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)
View Details
9. Region segmentation of whole-slide images for analyzing histological differentiation of prostate adenocarcinoma using ensemble efficientnetb2 u-net with transfer learning mechanism (2023)
View Details
10. Developing a low-cost IoT-based remote cardiovascular patient monitoring system in Cameroon (2023)
View Details
11. A comprehensive review on multiple instance learning (2023)
View Details
12. 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)
View Details
13. Long short-term memory (LSTM)-based dog activity detection using accelerometer and gyroscope (2022)
View Details
14. Computer vision based deep learning approach for the detection and classification of algae species using microscopic images (2022)
View Details
15. Activity detection for the wellbeing of dogs using wearable sensors based on deep learning (2022)
View Details
16. Texture, morphology, and statistical analysis to differentiate primary brain tumors on two-dimensional magnetic resonance imaging scans using artificial intelligence techniques (2022)
View Details
17. Enhanced resource allocation in D2D communications with NOMA and unlicensed spectrum (2022)
View Details
18. 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)
View Details
19. Stock market prediction using machine learning techniques: a decade survey on methodologies, recent developments, and future directions (2021)
View Details
20. Remanufacturing for circular economy: Understanding the impact of manufacturer’s incentive under price competition (2021)
View Details
21. A soft voting ensemble-based model for the early prediction of idiopathic pulmonary fibrosis (IPF) disease severity in lungs disease patients (2021)
View Details
22. Factors affecting ESG towards impact on investment: A structural approach (2021)
View Details
23. Blockchain-based model to improve the performance of the next-generation digital supply chain (2021)
View Details
24. Artificial intelligence is reshaping healthcare amid COVID-19: A review in the context of diagnosis & prognosis (2021)
View Details
25. A Novel Sleep Scoring Algorithm-Based Framework and Sleep Pattern Analysis Using Machine Learning Techniques (2021)
View Details
1. Exploring Deep Learning and Machine Learning Techniques for Histopathological Image Classification in Lung Cancer Diagnosis (2024)
View Details
2. Domesticated cat activity detection using deep learning technique (2024)
View Details
3. Multiple instance learning: state-of-the-art in cancer analysis, applications & future potential (2024)
View Details
4. Overview: Technology roadmap of the future trend of metaverse based on IoT, blockchain, AI technique, and medical domain metaverse activity (2022)
View Details
5. A secure healthcare system design framework using blockchain technology (2019)
View Details
6. A review on benefits of IoT integrated blockchain based supply chain management implementations across different sectors with case study (2019)
View Details
7. Parkinson's disease detection from spiral and wave drawings using convolutional neural networks: A multistage classifier approach (2020)
View Details
8. A supervised machine learning approach using different feature selection techniques on voice datasets for prediction of Parkinson’s disease (2019)
View Details
9. Applications and possible challenges of healthcare metaverse (2023)
View Details
10. Technological roadmap of the future trend of metaverse based on IoT, blockchain, and AI techniques in metaverse education (2023)
View Details
11. The metaverse applications for the finance industry, its challenges, and an approach for the metaverse finance industry (2023)
View Details
12. A blockchain based credit analysis framework for efficient financial systems (2019)
View Details
13. Detection of pneumonia from chest x-rays using a convolutional neural network architecture (2019)
View Details
14. The metaverse for intelligent healthcare using XAI, blockchain, and immersive technology (2023)
View Details
15. Blockchain system for trustless healthcare data sharing with hyperledger fabric in action (2023)
View Details
16. The benefits of integrating AI, IoT, and Blockchain in healthcare supply chain management: A multi-dimensional analysis with case study (2024)
View Details
17. Metaverse in manufacturing using emerging technologies: An overview for the smart industry 4.0 (2023)
View Details
18. Blockchain, ai & iot based covid-19 contact tracing and distancing framework (2021)
View Details
19. AI-Based Logistics System Overview and a Workflow for Digital Freight Forwarding in Logistics (2024)
View Details
20. Leveraging the power of blockchain for secure healthcare data management system (2023)
View Details
21. Deep learning based cervical spine bones detection: A case study using YOLO (2024)
View Details
22. Skin Cancer Detection using Transfer Learning Models and Ensemble Approach to Enhanced Diagnostic Accuracy (2025)
View Details
23. Anxiety and depression detection and rehabilitation in the metaverse: a BERT-based recommendation system (2023)
View Details
24. Detection of different stages of copd patients using machine learning techniques (2021)
View Details
25. Exploring Deep Learning and Machine Learning Techniques for Histopathological Image Classification in Lung Cancer Diagnosis (2024)
View Details
26. A transfer learning approach for identification of distracted driving (2022)
View Details
27. Medical education, training and treatment using XR in healthcare (2023)
View Details
28. Computer vision-based military tank recognition using object detection technique: An application of the yolo framework (2023)
View Details
29. Detection of cancerous tissue in histopathological images using Dual-Channel Residual Convolutional Neural Networks (DCRCNN) (2020)
View Details
30. Foundation Models: From Current Developments, Challenges, and Risks to Future Opportunities (2025)
View Details
1. The role of artificial intelligence and blockchain in the metaverse (2022)
View Details
2. 포스트 코로나 시대 ICT 기반 비대면 재난심리회복지원 서비스 촉진 방안 고찰 (2022)
View Details
3. 의복형 생체신호 모니터링을 이용한 건강증진 시스템 (2011)
View Details
4. 생체신호 습득과 건강 모니터링을 위한 스마트 헬스케어 의복 개발 (2016)
View Details
5. 천식관리 모바일 앱의 개발과 사용자 테스트 (2014)
View Details
6. 웰니스 의류 시스템에서의 다중 생체신호 수집 및 마이닝에 관한 연구 (2011)
View Details
7. 지식베이스와 카테고리를 활용한 Bert 발화 의도 분류 성능 향상 기법. (2024)
View Details
8. 가상· 증강 현실을 이용한 원전 작업에서의 활용 방안 (2022)
View Details
9. ICT 기반 비대면 재난심리지원의 가능성과 한계에 대한 고찰 (2021)
View Details
10. 액티브 시니어를 위한 스마트 뷰티케어 활성화 연구-퍼스널컬러 진단 시스템을 중심으로 (2021)
View Details
11. 최고정보책임자 (CIO) 의 리더십이 ICT 산업에 미치는 영향-변혁적 리더십을 중심으로 (2021)
View Details