Results 31 to 40 of about 2,559 (181)
FuseLog: Fusing Symbolic and Temporal Dynamics for Enhanced Log Anomaly Detection
IEEE AccessLog-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 +8 more
doaj +1 more source
Journal of Applied Informatics and ComputingThis 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 +2 more
doaj +1 more source
Jurnal SisfokomHeart disease is a medical condition affecting the cardiovascular system, disrupting blood circulation and reducing cardiac function efficiency, which can lead to severe health complications.
Danang Wijayanto +3 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer +4 more
wiley +1 more source
Gazi Üniversitesi Fen Bilimleri DergisiKonut fiyatlarının etkili bir şekilde tahmin edilmesi, ekonominin şekillenmesinde kritik bir rol oynamaktadır. Bu çalışmanın amacı, konut fiyatlarını tahminlemede en iyi performans gösteren makine öğrenmesi modelini belirlemektir.
Vahid Sinap
doaj +1 more source
Cleaner Engineering and TechnologyAcid gas removal unit (AGRU) serves as an essential process in gas treatment, specifically designed to eliminate acid gases like hydrogen sulfide (H2S) and carbon dioxide (CO2) from natural gas. Absorption-based AGRU are extensively employing chemical solvents because of their strong performance and effectiveness.
Rafi Jusar Wishnuwardana +5 more
openaire +2 more sources
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Advanced Robotics Research, EarlyView.Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
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
OOG- Optuna Optimized GAN Sampling Technique for Tabular Imbalanced Malware Data
2022 IEEE International Conference on Big Data (Big Data), 2022 Cyberspace occupies a large portion of people's life in the age of modern technology, and while there are those who utilize it for good, there are also those who do not. Malware is an application whose construction was not motivated by a benign goal and it can harm, steal, or even alter personal information and secure applications and software.
S. M. Towhidul Islam Tonmoy +1 more
openaire +2 more sources
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
Advanced Science, EarlyView.The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source