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Jurnal Institusi
OPTIMALISASI ALGORITMA SUPPORT VECTOR MACHINE PADA ASPECT-BASED SENTIMENT ANALYSIS MENGGUNAKAN GRIDSEARCHCV
ZONAsi: Jurnal Sistem Informasi; Vol. 7 No. 1 (2025): Publikasi artikel ZONAsi: Jurnal Sistem Informasi Periode Januari 2025; 271 - 279
Support Vector Machine (SVM) merupakan salah satu algoritma Machine Learning yang umum digunakan untuk menyelesaikan permasalahan klasifikasi. SVM sangat baik digunakan untuk klasifikasi biner, tetapi masih kurang optimal dalam melakukan klasifikasi ...
Jurnal Institusi
Hyperparameter Optimization of the Perceptron Algorithm for Determining the Feasibility of Research Proposals and Community Service
Digital Zone: Jurnal Teknologi Informasi dan Komunikasi; Vol. 15 No. 2 (2024): Digital Zone: Jurnal Teknologi Informasi dan Komunikasi; 172-181
Higher education in Indonesia includes diploma, bachelor, master, specialist, and doctoral programmes organised by universities. The Institute for Research and Community Service (LPPM) is in charge of assessing lecturers' proposals. This researc...
Jurnal Institusi
Penerapan Ensemble Learning Untuk Klasifikasi Preferensi Film Pada Dataset Movielens Dengan Penanganan Kelas Tidak Seimbang
SEMASTER: Seminar Nasional Teknologi Informasi & Ilmu Komputer; Vol. 4 No. 1 (2025): Prosiding SEMASTER: Seminar Nasional Teknologi Informasi & Ilmu Komputer; 127-142
Sistem rekomendasi film semakin dibutuhkan seiring bertambahnya jumlah konten digital dan meningkatnya kebutuhan pengguna akan rekomendasi yang sesuai dengan preferensi mereka. Penelitian ini berfokus pada klasifikasi preferensi pengguna terhadap fil...
PubMed
Highly Efficient JR Optimization Technique for Solving Prediction Problem of Soil Organic Carbon on Large Scale
Sensors (Basel)
We utilized remote sensing and ground cover data to predict soil organic carbon (SOC) content across a vast geographic region. Employing a combination of machine learning and deep learning techniques, we developed a novel data fusion approach that in...
PubMed
Prediction of Ecofriendly Concrete Compressive Strength Using Gradient Boosting Regression Tree Combined with GridSearchCV Hyperparameter-Optimization Techniques
Materials (Basel)
A crucial factor in the efficient design of concrete sustainable buildings is the compressive strength (Cs) of eco-friendly concrete. In this work, a hybrid model of Gradient Boosting Regression Tree (GBRT) with grid search cross-validation (GridSear...
PubMed
Optimizing electric vehicle energy consumption prediction through machine learning and ensemble approaches
Sci Rep
Accurately predicting energy consumption in electric vehicles (EVs) is essential for enhancing energy efficiency and improving infrastructure planning. However, this task remains challenging due to the complex interplay of driving conditions, vehicle...
PubMed
Research on Multiple Spectral Ranges with Deep Learning for SpO(2) Measurement
Sensors (Basel)
Oxyhemoglobin saturation by pulse oximetry (SpO(2)) has always played an important role in the diagnosis of symptoms. Considering that the traditional SpO(2) measurement has a certain error due to the number of wavelengths and the algorithm and the w...
PubMed
Machine learning approaches to identify Parkinson's disease using voice signal features
Front Artif Intell
Parkinson's Disease (PD) is the second most common age-related neurological disorder that leads to a range of motor and cognitive symptoms. A PD diagnosis is difficult since its symptoms are quite similar to those of other disorders, such as nor...
PubMed
Optimizing ensemble machine learning models for accurate liver disease prediction in healthcare
PLoS One
Liver disease encompasses a range of conditions affecting the liver, including hepatitis, cirrhosis, fatty liver, and liver cancer. It can be caused by infections, alcohol abuse, obesity, or genetic factors, and it often progresses silently until adv...
PubMed
From Narratives to Diagnosis: A Machine Learning Framework for Classifying Sleep Disorders in Aging Populations: The sleepCare Platform
Brain Sci
Background/Objectives: Sleep disorders are prevalent among aging populations and are often linked to cognitive decline, chronic conditions, and reduced quality of life. Traditional diagnostic methods, such as polysomnography, are resource-intensive a...
PubMed
Exploiting moving slope features of PPG derivatives for estimation of mean arterial pressure
Biomed Eng Lett
Monitoring Mean Arterial Pressure (MAP) helps calculate the arteries’ flow, resistance, and pressure. It allows doctors to check how well the blood flows through our body and reaches all major organs. Photoplethysmogram technology is gaining moment...
PubMed
Enhancing machine learning-based forecasting of chronic renal disease with explainable AI
PeerJ Comput Sci
Chronic renal disease (CRD) is a significant concern in the field of healthcare, highlighting the crucial need of early and accurate prediction in order to provide prompt treatments and enhance patient outcomes. This article presents an end-to-end pr...
PubMed
Application of machine learning in the diagnosis of vestibular disease
Sci Rep
Machine learning is considered a potential aid to support human decision making in disease prediction. In this study, we determined the utility of various machine learning algorithms in classifying peripheral vestibular (PV) and non-PV diseases based...
PubMed
Development of New Predictive Equations for the Resting Metabolic Rate (RMR) of Women with Lipedema
Metabolites
This study aimed to develop a novel predictive equation for calculating resting metabolic rate (RMR) in women with lipedema. We recruited 119 women diagnosed with lipedema from the Angiology Outpatient Clinic at Wroclaw Medical University, Poland. RM...
PubMed
Deep learning-based AI model for predicting academic success and engagement among physical higher education students
Sci Rep
Academic achievement and student engagement are essential components of educational success, particularly in physical education (PE) programs, where cognitive and physical competencies intersect. This study introduces HybridStackNet, a stacked ensemb...
PubMed
Comparative analysis of supervised learning models for effluent quality prediction in wastewater treatment plants
PLoS One
Effluent quality prediction is critical for optimizing Wastewater Treatment Plant (WWTP) operations, ensuring regulatory compliance, and promoting environmental sustainability. This study evaluates the performance of five supervised learning models...
PubMed
Optimized XGBoost Model with Small Dataset for Predicting Relative Density of Ti-6Al-4V Parts Manufactured by Selective Laser Melting
Materials (Basel)
Determining the quality of Ti-6Al-4V parts fabricated by selective laser melting (SLM) remains a challenge due to the high cost of SLM and the need for expertise in processes and materials. In order to understand the correspondence of the relative de...
PubMed
A stacked ensemble machine learning approach for the prediction of diabetes
J Diabetes Metab Disord
OBJECTIVES: Diabetes has become a leading cause of mortality in both developed and developing countries, impacting a growing number of individuals worldwide. As the prevalence of the disease continues to rise, researchers have diligently worked towar...
PubMed
Machine learning predicting mortality in sarcoidosis patients admitted for acute heart failure
Cardiovasc Digit Health J
BACKGROUND: Sarcoidosis with cardiac involvement, although rare, has a worse prognosis than sarcoidosis involving other organ systems. OBJECTIVE: We used a large dataset to train machine learning models to predict in-hospital mortality among sarcoido...
PubMed
Evaluation and Prediction of Low-Carbon Economic Efficiency in China, Japan and South Korea: Based on DEA and Machine Learning
Int J Environ Res Public Health
Addressing global climate change has become a broad consensus in the international community. Low-carbon economic development, as an effective means to address global climate change issues, has been widely explored and practiced by countries around t...