Results 101 to 110 of about 3,693,146 (236)

Understanding Code Smell Detection Through Hyperparameter Optimization and Metric Correlation Analysis

IEEE Access
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, Rodolfo Bojorque, Pamela Flores   +2 more
doaj   +1 more source

Inverse Design of Nanoparticulate Materials

Advanced Materials, EarlyView.
Inverse design shifts nanomaterial development from empirical trial‐and‐error to predictive model‐driven strategies. It can rely on knowledge‐based, data‐based, or hybrid process and property functions. This perspective article provides a practical framework for applying inverse design based on instructive examples. It discusses which modeling approach
Nabi Etienne Traoré, Annika Mauch, Michelle Berthold, Lukas Pflug, Wolfgang Peukert, Nicolas Vogel   +5 more
wiley   +1 more source

Indonesia’s total fertility rate (TFR) using the brown and holt double exponential smoothing with grid search

Desimal
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, Nina Fitriyati, Suma Inna, Dharma Syadhi Putra Adjie   +3 more
doaj   +1 more source

A Grid Search-Based Multilayer Dynamic Ensemble System to Identify DNA N4-Methylcytosine Using Deep Learning Approach. [PDF]

Genes (Basel), 2023
Halder RK, Uddin MN, Uddin MA, Aryal S, Islam MA, Hossain F, Jahan N, Khraisat A, Alazab A.   +8 more
europepmc   +1 more source

From the Discovery of the Giant Magnetocaloric Effect to the Development of High‐Power‐Density Systems

Advanced Materials Technologies, EarlyView.
The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz, Yaroslav Mudryk, Jun Cui, Lucas Griffith, Duane D. Johnson, Julie Slaughter   +5 more
wiley   +1 more source

Fine-tuned hyperparameter optimization for phishing website detection: insights into efficiency and performance

IJAIN (International Journal of Advances in Intelligent Informatics)
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, Azhari Shouni Barkah, Siti Rahayu Selamat, Pungkas Subarkah   +3 more
doaj   +1 more source

Covid-19 cases prediction using SARIMAX Model by tuning hyperparameter through grid search cross-validation approach. [PDF]

Expert Syst, 2022
Sah S, Surendiran B, Dhanalakshmi R, Yamin M.   +3 more
europepmc   +1 more source

Grid Metadata Lifetime Control in ActOn [PDF]

, 2008
In the Semantic Grid, metadata, as first class citizens, should be maintained up to-date in a cost-effective manner. This includes maxi missing the automation of different aspects of the metadata lifecycle, managing the evolution and change of metadata in
Corcho, Oscar, Dikaiakos, M., Sakellariou, R., Goble, C., Xing, W.   +4 more
core  

Two‐Way Shape Memory Polymer Composite Gripper for Adaptive Robotic Applications

Advanced Materials Technologies, EarlyView.
A two‐way shape memory polymer (SMP) composite is developed with intrinsic shape‐changing capability driven solely by temperature, eliminating external actuation loads. Embedding the SMP in a low‐stiffness elastomeric matrix enabled reversible transformations during heating and cooling cycles.
Aamna Hameed, Kamran Ahmed Khan
wiley   +1 more source

A Comparative Study of Structural Improvement and Hyperparameter Optimization for Enhancing Naïve Bayes Performance

Journal of Applied Informatics and Computing
The Naïve Bayes (NB) algorithm is widely used due to its simplicity and computational efficiency; however, its performance often degrades on real-world data because the assumption of feature independence is frequently violated.
Jejen Jaenudin, Novita BR Ginting, Yusup Maolani   +2 more
doaj   +1 more source