Detection of Tuberculosis Disease in Lung X-ray Images Using the DenseNet121 Method | Madyono | International Journal of Engineering, Science and Information Technology

About The Authors

Madyono Madyono
Politeknik Elektronika Negeri Surabaya
Indonesia

Department of Electronics

Anisah Nabilah
Universitas PGRI Jombang
Indonesia

Department of Informatics, Faculty of Computer Science

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Keywords Activity, City, Transportation, Analytical Hierarchy Process Analysis, Sentiment, BSI Mobile, Action Mobile, Multinomial Naive Bayes Artificial Intelligence, Supply Chain Management, Industry 4.0, Operational Efficiency, PT. Pelita Media Nusantara BIRCH, Smartphone, Sales, Shop, Clustering COBIT 2019, Complience Regulation, IT Governance, Bank Papua Celebrity Endorsement, SVM, VADER, Deep Learning, Social Media Confusion Matrix, Constitutional Court, Presidential Election 2024, Election Result Dispute, Support Vector Machine Cryptocurrency Price, Triple Exponential Smoothing, Autoregressive Integrated Moving Average, Time Series Data Curcuma Caesia, Total Phenolic, UV-Vis Spectrophotometry, Folin-Ciocalteu, Antioxidants Effectiveness, Road Maintenance, Dominant Factor Electronic Medical Record, Productivity, Health Services, Community Health Center, Digital Technology. Expert, Diagnosis, Mentally, Student, Knowledge-Based Green literacy, E-Waste, E-Waste Management Behavior IT Investment, IT Planning, Framework, Business Case, Stakeholders Manager, Leadership with Heart, Manager Performance, Job Satisfaction, Organizational Culture NASA TLX Methods, 360 Camera Technology, Excavator Operator, Accident Occupational Health, Physical Recovery, Stress, Therapy, Well-being Organizational Culture, Performance PMI Lhokseumawe City, Fuzzy Logic, Mamdani Method, Demand, Supply Sentiment, Topic Modeling, Support Vector Machine, Latent Dirichlet Allocation, Google Maps Tilapia, IoT, Control, Water, Monitoring

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Copyright (c) 2025 Madyono, Anisah Nabilah

International Journal of Engineering, Science and Information Technology (IJESTY) eISSN 2775-2674

Published by Department of Information Technology, Universitas Malikussaleh, Indonesia

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