Results 71 to 80 of about 4,344 (219)

An Optimized Hyperparameter Tuning for Improved Hate Speech Detection with Multilayer Perceptron

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Hate speech classification is a critical task in the domain of natural language processing, aiming to mitigate the negative impacts of harmful content on digital platforms.
Muhamad Ridwan, Ema Utami
doaj   +1 more source

Hybrid Machine Learning–Geostatistical Modeling of Soil Quality in Saline–Sodic Soils Under Arid Agroecosystems of Northwestern Peru

Journal of Plant Nutrition and Soil Science, EarlyView.
ABSTRACT Background Soil fertility management in mango and banana production systems in northern Peru is limited by marked spatial heterogeneity, driven by chemical imbalances, particularly salinity, alkalinity, and sodicity. Aim This study developed a spatial predictive framework to assess soil quality across the agricultural area of Morropón Province,
Sebastian Casas‐Niño, Gerson La Rosa Lama, Sharon Mejia, Ruth Mercado, Kenyi Quispe   +4 more
wiley   +1 more source

Optimization of Gradient Pulse Shape Prediction Using Temporal Convolutional Networks

Magnetic Resonance in Medicine, EarlyView.
Purpose To improve TCN‐based gradient‐waveform prediction with respect to acquisition efficiency and inference speed, and to evaluate its use for radial imaging. Methods Gradient waveforms were measured using a thin‐slice method on a preclinical MRI system. Separate TCN models were trained for each physical gradient axis to predict both gradient and B0$
Jiří Vitouš, Radovan Jiřík, Zenon Starčuk   +2 more
wiley   +1 more source

Enhanced Modelling Performance with Boosting Ensemble Meta-Learning and Optuna Optimization

SN Computer Science
AbstractImproving modeling performance on imbalanced multi-class classification problems has continued to attract attention from researchers considering the critical and significant role such models should play in mitigating the prevalent problem. Ensemble Learning (EL) techniques are among the key methods utilized by researchers as they are known for ...
Tertsegha J. Anande, Sami Alsaadi, Mark S. Leeson   +2 more
openaire   +1 more source

FuseLog: Fusing Symbolic and Temporal Dynamics for Enhanced Log Anomaly Detection

IEEE Access
Log-based anomaly detection is crucial for ensuring the reliability of large-scale distributed systems. DeepLog implemented a sequence-oriented methodology utilizing LSTMs, providing a data-driven substitute for rule-based techniques.
Ahmed Alzamil, Ramzi Guesmi, Tarek Gasmi, Ismail Marouani, Amer Alghadhban, Badr M. Alshammari, Tawfik Guesmi, Mohamed Khalil Fadhlaoui, Noamen Guermazi   +8 more
doaj   +1 more source

Experimental and Machine Learning‐Based Process Optimization of UDCF/PA11 Composite Laminates for Hydrogen Storage Applications

Polymer Composites, EarlyView.
Process Optimization of UDCF/PA11 Composite Laminates. ABSTRACT This study presents a comprehensive approach to optimizing key processing parameters using the vacuum‐bag‐only hand lay‐up method for unidirectional carbon fiber‐reinforced polyamide 11 laminates intended for novel lightweight hydrogen pressure vessels.
Amir Mehrabianbardar, Zouhaier Jendli, Stéphane Gillet, Pedram Aminharati, Samia Nouira, Khaled Benfriha, Joseph Fitoussi, Mohammadali Shirinbayan   +7 more
wiley   +1 more source

A Comparative Study of Hyperparameter Optimization for CatBoost: Random Search, Optuna, and Successive Halving

Journal of Applied Informatics and Computing
This study aims to evaluate the effectiveness of three hyperparameter optimization approaches Random Search, Successive Halving, and Optuna in the CatBoost algorithm for modeling individual income using the 2024 SAKERNAS data.
Claudian Tikulimbong Tangdilomban, Kusman Sadik, Aji Hamim Wigena   +2 more
doaj   +1 more source

Time Series Extrinsic Regression for Smart Agriculture: Field‐Level Crop Yield Prediction From Multisource Agricultural Time Series

Quality and Reliability Engineering International, EarlyView.
ABSTRACT The growing availability of temporal data in agriculture has created new opportunities for data‐driven decision support systems aimed at improving the efficiency, sustainability, and adaptability of agricultural systems. Remote sensing platforms, weather‐related datasets, and field‐management records provide information on crop development and
Amalia Vanacore, Armando Ciardiello, Gennaro Pio Auricchio, Luigi Uccello, Annalisa Izzo   +4 more
wiley   +1 more source

VAE‐Based SPC for Botnet Detection in IoT Systems

Quality and Reliability Engineering International, EarlyView.
ABSTRACT The rapid proliferation of Internet of Things (IoT) devices has created new security risks, particularly botnet infections. This paper proposes an unsupervised monitoring framework that combines a β$\beta$‐variational autoencoder (VAE) with multivariate statistical process control (SPC) for botnet detection in IoT networks.
Jorge Proaño, Miguel Flores, Javier Tarrío‐Saavedra, Salvador Naya   +3 more
wiley   +1 more source

Optimized Ensemble Learning Using Boosting, Stacking, and Voting for Early Stunting Risk Prediction

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Stunting remains a pressing health issue in Indonesia’s coastal communities, where uneven access to nutrition services and maternal–child care can limit early prevention efforts.
Munawir Munawir, M. Khairul Anam, Liza Fitria, Nurul Fadillah   +3 more
doaj   +1 more source