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Vehicle Inspection Forecasting Through Temporal Signal Processing and Ensemble Machine Learning
Vehicle inspection services are essential for maintaining transportation safety and regulatory compliance. However, daily inspection volumes in developing regions exhibit high stochastic fluctuations due to...Bambang Sismanto
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Nurhayati Nurhayati
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Raden Roro Hapsari Peni Agustin Tjahyaningtijas
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Ja'afar Mahmud
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Raimundo Eider Figueredo
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Atul Varshney
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The Implementation of Machine Learning Algorithms for Breast Cancer Biomarker Validation in Metabolomics Studies
Breast cancer is a heterogeneous disease characterized by distinct molecular and metabolic characteristics, making its diagnostics and treatment challenging. The existence of metabolic reprogramming in breast cancer...Nindhyana Diwaratri Ratnaningayu
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Aryo Tedjo
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Sonar Soni Panigoro
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Comparative Performance of Gradient Boosting Algorithms for Household Food Resilience Classification during The COVID-19
The need for data-driven analysis to understand socio-economic vulnerability, particularly in relation to food security, has intensified due to the pandemic. The growing volume of survey data demands analytical...Nabila Syukri
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Sachnaz Desta Oktarina
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Septian Rahardiantoro
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Residual-Based Analysis of the Mismatch Between LoRa Channel Models and Field Measurements in Urban and Rural Environments
This study investigates discrepancies between classical propagation models (Okumura-Hata, CI, FI) and LoRa field measurements in urban and rural environments. While rural areas exhibited linear path loss trends,...Muhamad Bagus Fikril Alan
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Pradini Puspitaningayu
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Nurhayati Nurhayati
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Muhammad 'Aamir Nashrullah
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Nobuo Funabiki
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Erwin Sutanto
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Fahmi Fahmi
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Integrative Transcriptomic and Docking Analysis of Coffee Bioactives Targeting CCNA2, AKT1, and CDK2 in TNBC
Triple-negative breast cancer (TNBC) is an aggressive breast cancer subtype characterized by high proliferation rates, poor prognosis, and limited therapeutic options. Coffee-derived bioactive compounds have...Ida Neni Haryanti
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Linda Erlina
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Ade Arsianti
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Aryo Tedjo
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Machine Learning Classification for Detecting Heart Disease with K-NN Algorithm, Decision Tree and Random Forest
The heart is one of the most important organs for human; therefore, it needs to always be looked after and maintained properly. If it is not looked after and maintained properly, it will be at risk of disease....Ambran Hartono
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Lizky Azka Dewi
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Elvan Yuniarti
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Salsabila Tahta Hirani Putri
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Try Surya Harahap
