https://appliedai.creatorlink.net/

Recent Publications
· SCI IF 10% 저널에 30편 이상 논문 게재
· 생성형 AI, 자율학습, 머신러닝 등 관련 논문 다수 게재
· 의료 및 스마트 시티 분야에서 AI 응용 연구 논문 발표
· AI 기반 다학제적 연구를통한 첨단 기술 논문 다수 출판

Patent & Technology Transfer
· 2023년 이후 특허 출원 22건
- AI, IoT 및 환경 모니터링 관련 특허 집중

- 실시간 재난 대응 시스템 및 AI 기반 기술 다수 등록

- 환경 오염 및 식품공정 관리시스템 분야 특허 확대

· IoT 기반 빅데이터 수집 및 관리 기술 관련 기술 이전
· 환경유해인자 및 건강영향인자 모니터링 기술의 상용화
· 소프트웨어 저작권 등록 16건
- AI 및 데이터 기반 환경 모니터링 관련 소스코드 다수 등록

· 웨어러블 디바이스 및 실내 공기질 관리 소프트웨어 등록
R&D Projects
(2021-2024) IoT 기반 환경 보건 빅데이터 시스템 구축
(환경부, 60억 원, 3+1년)


(2021-2023) AI 플랫폼 및 디지털 오픈랩 구축
(과학기술정보통신부, 20억 원, 5년)


(2020-2024) 센서 기반 SoC
(산업통상자원부, 3억 원, 4년)


(2019-2023) 5G 기반 스마트 센서 플랫폼
(과학기술정보통신부, 50억 원, 5년)

(2019-2021) 의료 공통 데이터 모델
(보건복지부, 5억 원, 3년)

Second Half of 2025
김재홍, 권예원, & 조재혁. (2024). 다중 특징 학습 기반 딥러닝을 이용한 고양이 감정 분석, 12(4), JOURNAL OF PLATFORM TECHNOLOGY, accepted.

현준서, & 조재혁. (2025). Covid-19 전후 한국 영화 흥행 요인 변화가 극장 매출 예측을 위한 앙상블 모델 성능에 미치는 영향. JOURNAL OF PLATFORM TECHNOLOGY, accepted.

Yoo, S., Moon, K., Kim, J. & Cho, J. (2025). Personalized Blood Glucose Prediction in Type 1 Diabetes Using Meta-Learning with Bidirectional Long Short Term Memory-Transformer Hybrid Model. Scientific Reports, 15, 30636
First Half of 2025
Jakeer, S., Reddy, S., Thameem Basha, H., Cho, J. & Sathishkumar, V. (2025). Activation energy and Coriolis force impact on three-dimensional dusty nanofluid flow containing gyrotactic microorganisms: Machine learning and numerical approach. Nanotechnology Reviews, 14(1), 20250179.

Yoo, S., Jeon, E., Hyeon, J. & Cho, J. (2025). Adaptive ensemble techniques leveraging BERT based models for multilingual hate speech detection in Korean and english. Scientific Reports, 15, 19844

Alohali, M. A., Alqahtani, H., Ebad, S. A., Alotaibi, F. A., & Cho, J. (2025). Optimized deep learning approach for lung cancer detection using flying fox optimization and bidirectional generative adversarial networks. PeerJ Computer Science, 11, e2853.

Mazroa, A. A., Eltahir, M. M., Ebad, S. A., Alotaibi, F. A., Venkatachalam K5, & Cho, J. (2025).
EEG-based schizophrenia diagnosis using deep learning with multi-scale and adaptive feature selection. PeerJ Computer Science, 11, e2811.

Rajesh, A., DineshKumar, R., Shanmugam, S., Cho, J., & Easwaramoorthy, S. V. (2025). Enhancing security in social computing systems through knowledge learning techniques. Egyptian Informatics Journal, 30, 100675.

Parthasarathi, P., Alshahrani, H. M., Venkatachalam, K., & Cho, J. (2025). Variational quantum classifier-based early identification and classification of chronic kidney disease using sparse autoencoder and LASSO shrinkage. PeerJ Computer Science, 11, e2789.

Kande, G. B., Nalluri, M. R., Manikandan, R., Cho, J., & Veerappampalayam Easwaramoorthy, S. (2025). Multi scale multi attention network for blood vessel segmentation in fundus images. Scientific Reports, 15(1), 3438.

KalaiSelvi, B., Anandan, P., Easwaramoorthy, S. V., & Cho, J. (2025). IoT-driven cancer prediction: Leveraging AI for early detection of protein structure variations. Alexandria Engineering Journal, 118, 21-35. (JCR 8.3%)

Chinnasamy, R., Subramanian, M., Easwaramoorthy, S. V., & Cho, J. (2025). Deep Learning-driven Methods for Network-based Intrusion Detection Systems: A Systematic Review. ICT Express.
Second Half of 2024
Geeitha, S., Prabha, K. R., Cho, J., & Easwaramoorthy, S. V. (2024). Bidirectional recurrent neural network approach for predicting cervical cancer recurrence and survival. Scientific Reports, 14(1), 31641.
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Sangeetha, S. K. B., Mathivanan, S. K., Muthukumaran, V., Cho, J., & Easwaramoorthy, S. V. (2024). An Empirical Analysis of Transformer-Based and Convolutional Neural Network Approaches for Early Detection and Diagnosis of Cancer Using Multimodal Imaging and Genomic Data. IEEE Access.
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Mathivanan, S. K., Rajadurai, H., Cho, J., & Easwaramoorthy, S. V. (2024). A multi-modal geospatial–temporal LSTM based deep learning framework for predictive modeling of urban mobility patterns. Scientific Reports, 14(1), 31579.
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Banumathy, D., Vetriselvi, T., Venkatachalam, K., & Cho, J. (2024). Quantum-inspired seagull optimised deep belief network approach for cardiovascular disease prediction. PeerJ Computer Science, 10, e2498.
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Selvaraj, J., Nakeeb, N. A., Cho, J., & Easwaramoorthy, S. V. (2024). Enhancing Next-Generation Wireless Networks Using Preemptive Energy Conservation Technique. IEEE Access.
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Sangeetha, S. B., Selvarathi, C., Mathivanan, S. K., Cho, J., & Easwaramoorthy, S. V. (2024). Secure Healthcare Access Control System (SHACS) for Anomaly Detection and Enhanced Security in Cloud-Based Healthcare Applications. IEEE Access.
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Anusuya, P., Vanitha, C. N., Cho, J., & Easwaramoorthy, S. V. (2024). A comprehensive review of sensor node deployment strategies for maximized coverage and energy efficiency in wireless sensor networks. PeerJ Computer Science, 10, e2407.

Selvaraj, J., Nakeeb, N. A., Cho, J., & Easwaramoorthy, S. V. (2024). Enhancing Next-Generation Wireless Networks Using Preemptive Energy Conservation Technique. IEEE Access.
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Sangeetha, S. B., Selvarathi, C., Mathivanan, S. K., Cho, J., & Easwaramoorthy, S. V. (2024). Secure Healthcare Access Control System (SHACS) for Anomaly Detection and Enhanced Security in Cloud-Based Healthcare Applications. IEEE Access.
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Anusuya, P., Vanitha, C. N., Cho, J., & Easwaramoorthy, S. V. (2024). A comprehensive review of sensor node deployment strategies for maximized coverage and energy efficiency in wireless sensor networks. PeerJ Computer Science, 10, e2407.
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Karthik, R., Inamdar, R., Sundarr, S. K., Cho, J., & Sathishkumar, V. E. (2024). Point Cloud-based 3D Object Classification with Non local attention and Lightweight Convolution Neural Networks. IEEE Access.
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Karthik, R., Menaka, R., Atre, S., Cho, J., & Easwaramoorthy, S. V. (2024). A Hybrid Deep Learning Approach for Skin Cancer Classification using Swin Transformer and Dense Group Shuffle Non-Local Attention Network. IEEE Access.
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Kulandaivel, R., Ramachandran, M., Veerappampalayam Easwaramoorthy, S., & Cho, J. (2024). Gauss Markov and Flow Balanced Vector Radial Learning network traffic classification on IoT with SDN. PloS one, 19(10), e0308052.

Karthik, R., Ajay, A., Bisht, A. S., Cho, J., & Easwaramoorthy, S. V. (2024). An Explainable Deep Learning Network for Environmental Microorganism Classification using Attention-Enhanced Semi-Local features. IEEE Access.
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Geeitha, S., Ravishankar, K., Cho, J., & Easwaramoorthy, S. V. (2024). Integrating cat boost algorithm with triangulating feature importance to predict survival outcome in recurrent cervical cancer. Scientific Reports, 14(1), 19828. (JCR 18.3%)

Sangeetha, S. K. B., Immanuel, R. R., Mathivanan, S. K., Cho, J., & Easwaramoorthy, S. V. (2024). An empirical analysis of multimodal affective computing approaches for advancing emotional intelligence in artificial intelligence for healthcare. IEEE Access.
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Lee, J., Chang, H. E., Cho, J., Yoo, S., & Hyeon, J. (2024). Analysis of issues related to nursing law: Examination of news articles using topic modeling. Plos one, 19(8), e0308065.
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현준서, 유서현, & 조재혁. (2024). Bayesian Optimization-HyperBand 를 적용한 효과적인 가짜 뉴스 탐지모델의 성능 평가와 분석. JOURNAL OF PLATFORM TECHNOLOGY, 12(4), 55-66.

Challa, L. S., Ragoju, R., Veerappampalayam Easwaramoorthy, S., & Cho, J. (2024). Linear instability of the vertical throughflow in a porous layer saturated by a power-law fluid with variable gravity effect. Open Physics, 22(1), 20240049.
First Half of 2024
Ramanan, G., RR, N. R., Suresh, S., Cho, J., & Sathishkumar, V. E. (2024). Effect of Al7075 and activated carbon reinforced composite on optimizing WEDM responses. Materials Research Express, 11(5), 056517.

Nithya, K., Krishnamoorthi, M., Easwaramoorthy, S. V., Dhivyaa, C. R., Yoo, S., & Cho, J. (2024). Hybrid approach of deep feature extraction using BERT–OPCNN & FIAC with customized Bi-LSTM for rumor text classification. Alexandria Engineering Journal, 90, 65-75. (JCR 8.3%)

Reddy, S. R. R., Jakeer, S., Sathishkumar, V. E., Basha, H. T., & Cho, J. (2024). Numerical study of TC4-NiCr/EG+ Water hybrid nanofluid over a porous cylinder with Thompson and Troian slip boundary condition: Artificial neural network model. Case Studies in Thermal Engineering, 53, 103794. (JCR 7.1%)
Second Half of 2023
Lai, T.T., Tran, T.P., Cho, J., & Yoo, M. (2023). DoS attack detection using online learning techniques in wireless sensor networks. Alexandria Engineering Journal. (JCR 8.3%)
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Subramanian, M., Sathiskumar, V. E., Deepalakshmi, G., Cho, J., & Manikandan, G. (2023). A survey on hate speech detection and sentiment analysis using machine learning and deep learning models. Alexandria Engineering Journal, 80, 110-121. (JCR 8.3%)

Subramanian, M., Cho, J., Veerappampalayam Easwaramoorthy, S., Murugesan, A., & Chinnasamy, R. (2023). Enhancing sustainable transportation: AI-Driven bike demand forecasting in smart cities. Sustainability, 15(18), 13840.

Sathishkumar, V. E., Vadivel, R., Cho, J., & Gunasekaran, N. (2023). Exploring the finite-time dissipativity of Markovian jump delayed neural networks. Alexandria Engineering Journal, 79, 427-437. (JCR 8.3%)

Shanmugavadivel, K., Sathishkumar, V. E., Cho, J., & Subramanian, M. (2023). Advancements in computer-assisted diagnosis of Alzheimer's disease: A comprehensive survey of neuroimaging methods and AI techniques for early detection. Ageing Research Reviews, 91, 102072. (JCR 0.9%)

Vanitha, C. N., Easwaramoorthy, S. V., Krishna, S. A., & Cho, J. (2023). Efficient qualitative risk assessment of pipelines using relative risk score based on machine learning. Scientific reports, 13(1), 14918.

Lai, T. T., Tran, T. P., Cho, J., & Yoo, M. (2023). Noise-Tolerant Data Reconstruction Based on Convolutional Autoencoder for Wireless Sensor Network. Applied Sciences, 13(18), 10090.

Jakeer, S., Reddy, S. R. R., Easwaramoorthy, S. V., Basha, H. T., & Cho, J. (2023). Exploring the influence of induced magnetic fields and double-diffusive convection on carreau nanofluid flow through diverse geometries: a comparative study using numerical and ANN approaches. Mathematics, 11(17), 3687. (JCR 6.8%)
First Half of 2023
현준서, & 조재혁. (2023). 단어-역문서 빈도 벡터화를 통한 한국 걸그룹의 음반 메타 정보 군집화. JOURNAL OF PLATFORM TECHNOLOGY, 11(3), 12-23.

Neelakandan, S., Easwaramoorthy, S. V., Chinnasamy, A., & Cho, J. (2023). Fuzzy adaptive learning control network (FALCN) for image clustering and content-based image retrieval on noisy dataset. AIMS Mathematics, 8(8), 18314-18338. (JCR 8%)

Subramanian, M., Sathishkumar, V. E., Cho, J., & Shanmugavadivel, K. (2023). Learning without forgetting by leveraging transfer learning for detecting COVID-19 infection from CT images. Scientific Reports, 13(1), 8516.

Park, J., Seo, Y., & Cho, J. (2023). Unsupervised outlier detection for time-series data of indoor air quality using LSTM autoencoder with ensemble method. Journal of Big Data, 10(1), 66. (JCR 6.8%)

Sathishkumar, V. E., Ramu, A. G., & Cho, J. (2023). Machine learning algorithms to predict the catalytic reduction performance of eco-toxic nitrophenols and azo dyes contaminants (Invited Article). Alexandria Engineering Journal, 72, 673-693. (JCR 8.3%)

Anbukkarasi, S., Sathishkumar, V. E., Dhivyaa, C. R., & Cho, J. (2023). Enhanced feature model based hybrid neural network for text detection on signboard, Billboard and news tickers. IEEE Access, 11, 41524-41534.

Sathishkumar, V. E., Cho, J., & Subramanian, M. Forest fire and smoke detection using deep learning-based learning without forgetting. Fire Ecol. 19, 9 (2023). (JCR 5.1%)

Kang, M., Kim, S., Ryu, D., & Cho, J. (2023). Which Exceptions Do We Have to Catch in the Python Code for AI Projects?. International Journal of Software Engineering and Knowledge Engineering, 33(03), 375-394.

Subramanian, M., Cho, J., Sathishkumar, V. E., & Naren, O. S. (2023). Multiple types of Cancer classification using CT/MRI images based on Learning without Forgetting powered Deep Learning Models. IEEE Access, 11, 10336-10354.
2022
Kim, T., Kim, S., Ryu, D., & Cho, J. (2023). Deep tasks summarization for comprehending mixed tasks in a commit. International Journal of Software Engineering and Knowledge Engineering, 33(02), 207-229.
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Choi, S., & Cho, J. (2022). Novel feature extraction method for detecting malicious MQTT traffic using Seq2Seq. Applied Sciences, 12(23), 12306.
2021
Choi, C., Jung, H., & Cho, J. (2021). An ensemble method for missing data of environmental sensor considering univariate and multivariate characteristics. Sensors, 21(22), 7595.
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Cho, J. (2022). Efficient Autonomous Defense System Using Machine Learning on Edge Device. Computers, Materials & Continua, 70(2).
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Kang, Y., Cho, J., & Park, Y. B. (2021). An empirical study of a trustworthy cloud common data model using decentralized identifiers. Applied Sciences, 11(19), 8984.
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Velusamy, B., Karunanithy, K., Sauveron, D., Akram, R. N., & Cho, J. (2021). Multi-objective function-based node-disjoint multipath routing for mobile ad hoc networks. Electronics, 10(15), 1781.
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Park, K., Chae, M., & Cho, J. H. (2021). Image pre-processing method of machine learning for edge detection with image signal processor enhancement. Micromachines, 12(1), 73.
2020
Cho, J. H., & Lee, H. (2020). Dynamic topology model of Q-learning LEACH using disposable sensors in autonomous things environment. Applied Sciences, 10(24), 9037.
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Cho, J. H. (2020). Detection of smoking in indoor environment using machine learning. Applied Sciences, 10(24), 8912.
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Cho, J. H., & Lee, H. (2020). Optimization of machine learning in various situations using ICT-based TVOC sensors. Micromachines, 11(12), 1092.
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Cho, J. H., Kang, Y., & Park, Y. B. (2020). Secure delivery scheme of common data model for decentralized cloud platforms. Applied Sciences, 10(20), 7134.
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Cho, J., & Joo, W. (2020). Data clustering method using efficient fuzzifier values derivation. IEEE Access, 8, 124624-124632.

2025.09.03.
체계적 문헌고찰 방법 및 장치 (출원)
2025.07.25.
병변의 예후 예측 방법 및 장치 (출원)
2025.07.24.
개인 맞춤형 혈당 예측 방법 및 장치 (출원)
2025.07.21.
AI Agent기반 부동산 매물 상태 실시간 동기화 및 중복 계약 원천 차단 시스템 (출원)
2025.04.25.
하이브리드 앙상블 머신 러닝 기법 기반 자궁경부암 재발 환자의 생존 예측을 위한 동작 방법 및 시스템 (출원)
WSN 보안을 위해 GA-MIC 기반 특징 선택 알고리즘 및 고급 MPA 알고리즘이 통합된 동작 방법 및 시스템 (출원)
2025.02.14.
멀티모달 인공지능 모델에 기반하여 사용자의 감정 상태를 예측하기 위한 방법 및 시스템 (출원)
인공지능 모델에 기반하여 환경 미생물의 분류를 위한 방법 및 시스템 (출원)
2024.12.12.
자전거 공유 서비스의 효율을 향상시키기 위한 자전거 관리 방법 및 장치 (출원)
실내 환경 조건의 측정 및 제어 방법 (출원)
2024.10.10.
환경보건 모니터링 시스템 및 그 방법 (등록)
2024.08.08.
IoT 기반 환경유해인자 및 건강영향인자 빅데이터 수집 관리 시스템 및 그 방법 (등록)
AI 기반 가짜 뉴스 분류 장치 및 이의 동작 방법 (출원)
2024.04.17.
DNA 기반 식품공정 관리 시스템 및 그 방법 (등록)
2023.12.28.
산불 이미지에 대한 다중 클래스 분류 방법 및 시스템 (출원)
2023.12.21.
환경 오염 총량 제어 시스템 및 그 방법 (등록)
2023.12.07.
텍스트 인식방법, 그 기록매체 및 장치 (출원)
2023.11.30.
센서 데이터의 이상치 검출방법, 그 기록매체 및 장치 (출원)
2023.08.08.
실시간으로 재난상황을 감지하고 대응하는 재난 대응 시스템 (등록)
2023.06.29.
이종 데이터 기반의 메타데이터 획득 장치 (등록)