Novel Feature Extraction Method for Detecting Malicious MQTT Traffic Using Seq2Seq by Sunoh Choi, Jaehyuk Cho

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Review of Internet of Things-Based Artificial Intelligence Analysis Method through Real-Time Indoor Air Quality and Health Effect Monitoring: Focusing on Indoor Air Pollution That... by EunMi Mun, Jaehyuk Cho

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Unsupervised outlier detection for time-series data of indoor air quality using LSTM autoencoder with ensemble method by Junhyeok Park, Youngsuk Seo, Jaehyuk Cho

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An Ensemble Method for Missing Data of Environmental Sensor Considering Univariate and Multivariate Characteristics by Chanyoung Choi, Haewoong Jung, Jaehyuk Cho

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An Empirical Study of a Trustworthy Cloud Common Data Model Using Decentralized Identifiers by Yunhee Kang, Jaehyuk Cho, Young B. Park

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Quantum-inspired seagull optimised deep belief network approach for cardiovascular disease prediction by D. Banumathy, T. Vetriselvi, K. Venkatachalam, Jaehyuk Cho

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Fuzzy adaptive learning control network (FALCN) for image clustering and content-based image retrieval on noisy dataset by S. Neelakandan, Sathishkumar Veerappampalayam Easwaramoorthy, A. Chinnasamy, Jaehyuk Cho

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Machine learning algorithms to predict the catalytic reduction performance of eco-toxic nitrophenols and azo dyes contaminants (Invited Article) by V.E. Sathishkumar, A.G. Ramu, Jaehyuk Cho

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Integrating cat boost algorithm with triangulating feature importance to predict survival outcome in recurrent cervical cancer by S. Geeitha, K. Ravishankar, Jaehyuk Cho, Sathishkumar Veerappampalayam Easwaramoorthy

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Enhanced Feature Model Based Hybrid Neural Network for Text Detection on Signboard, Billboard and News Tickers by S. Anbukkarasi, Veerappampalayam Easwaramoorthy Sathishkumar, C. R. Dhivyaa, Jaehyuk Cho

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Exploring the finite-time dissipativity of Markovian jump delayed neural networks by V.E. Sathishkumar, R. Vadivel, Jaehyuk Cho, Nallappan Gunasekaran

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Deep learning-driven methods for network-based intrusion detection systems: A systematic review by Ramya Chinnasamy, Malliga Subramanian, Sathishkumar Veerappampalayam Easwaramoorthy, Jaehyuk Cho

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Learning without forgetting by leveraging transfer learning for detecting COVID-19 infection from CT images by Malliga Subramanian, Veerappampalayam Easwaramoorthy Sathishkumar, Jaehyuk Cho, Kogilavani Shanmugavadivel

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Noise-Tolerant Data Reconstruction Based on Convolutional Autoencoder for Wireless Sensor Network by Trinh Thuc Lai, Tuan Phong Tran, Jaehyuk Cho, Myungsik Yoo

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Efficient qualitative risk assessment of pipelines using relative risk score based on machine learning by C. N. Vanitha, Sathishkumar Veerappampalayam Easwaramoorthy, S. A. Krishna, Jaehyuk Cho

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Bidirectional recurrent neural network approach for predicting cervical cancer recurrence and survival by S. Geeitha, K. P. Rama Prabha, Jaehyuk Cho, Sathishkumar Veerappampalayam Easwaramoorthy

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Enhancing Next-Generation Wireless Networks Using Preemptive Energy Conservation Technique by Jagadeesh Selvaraj, Noor Alleema Nakeeb, Jaehyuk Cho, Sathishkumar Veerappampalayam Easwaramoorthy

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DoS attack detection using online learning techniques in wireless sensor networks by Trinh Thuc Lai, Tuan Phong Tran, Jaehyuk Cho, Myungsik Yoo

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Multiple Types of Cancer Classification Using CT/MRI Images Based on Learning Without Forgetting Powered Deep Learning Models by Malliga Subramanian, Jaehyuk Cho, Veerappampalayam Easwaramoorthy Sathishkumar, Obuli Sai Naren

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IoT-driven cancer prediction: Leveraging AI for early detection of protein structure variations by B. KalaiSelvi, P. Anandan, Sathishkumar Veerappampalayam Easwaramoorthy, Jaehyuk Cho

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