Results 61 to 70 of about 334,287 (161)
Implementation and Evaluation of Analog-PIR-Sensor-Based Activity Recognition
These days, smart home applications such as concierge service for residents, home appliance control, and so on are attracting attention. To realize these applications, we need a system which recognizes various human activities accurately with a low cost ...
Masashi Fujiwara +5 more
doaj +1 more source
Improving the Forecasting Accuracy Based on the Lunar Calendar in Modeling Rainfall Levels Using the Bi-LSTM Method through the Grid Search Approach. [PDF]
Darmawan G +3 more
europepmc +1 more source
Epidemic monitoring in real-time based on dynamic grid search and Monte Carlo numerical simulation algorithm. [PDF]
Chen X +5 more
europepmc +1 more source
Optimization of XGBoost Algorithm Using Parameter Tunning in Retail Sales Prediction
In retail companies, the owner needs sales analysis to make decisions in the company's business processes. Several previous studies have introduced forecasting techniques using regression analysis, and classification approaches that need optimization ...
Hendra Wijaya +2 more
doaj +1 more source
The escalation of digital threats has made phishing-site identification a critical aspect of online protection. This study investigates how systematic hyperparameter adjustment through grid search influences both predictive precision and computational ...
Rizki Wahyudi +3 more
doaj +1 more source
A Grid Search-Based Multilayer Dynamic Ensemble System to Identify DNA N4-Methylcytosine Using Deep Learning Approach. [PDF]
Halder RK +8 more
europepmc +1 more source
Hyperparameter optimization plays a pivotal role in the reliability and generalization of machine-learning models for software quality prediction. This paper presents a comparative evaluation of three search strategies: Grid Search, Random Search, and a ...
Marcela Mosquera +2 more
doaj +1 more source
Covid-19 cases prediction using SARIMAX Model by tuning hyperparameter through grid search cross-validation approach. [PDF]
Sah S +3 more
europepmc +1 more source
This study presents a fast hyperparameter optimization algorithm based on the benefits and shortcomings of the standard grid search (GS) algorithm for support vector regression (SVR). This presented GS-inspired algorithm, called fast grid search (FGS), was tested on benchmark datasets, and the impact of FGS on prediction accuracy was primarily compared
openaire +1 more source
The Brown and Holt DES method effectively captures trends in time-series data. Its forecasting accuracy heavily depends on the selection of optimal smoothing parameters. Often, the smoothing parameters are selected manually using trial and error methods.
Chelsea Fatihah Rahma +3 more
doaj +1 more source

