Results 121 to 130 of about 984,534 (293)

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

Advanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam, William S. Rogers, Chen‐Yu Hu, Ming‐Yuan Song, Xinyu Bao, Shehrin Sayed, Jean Anne C. Incorvia   +6 more
wiley   +1 more source

Enhanced Software Defect Prediction Using Ensemble Learning with Correlation-Based Feature Selection and SMOTE

Ethiopian Journal of Science and Sustainable Development
Numerous studies have explored software defect prediction using machine learning algorithms; however, their performance on publicly available defect datasets often remains limited due to high feature dimensionality and class imbalance.
Bahiru Shifaw Yimer, Dita Abdujebar Abrahim   +1 more
doaj   +1 more source

Deep Learning and Machine Learning with Grid Search to Predict Later Occurrence of Breast Cancer Metastasis Using Clinical Data. [PDF]

J Clin Med, 2022
Jiang X, Xu C.
europepmc   +1 more source

A Colloidal Quantum Dot Thermistor and Bolometer

Advanced Materials, EarlyView.
This work introduces colloidal quantum dot thermistors employing a potential barrier structure to tune the activation energy of transport and hence the temperature coefficient of resistance (TCR). Upon integration with plasmonic absorbers, the CQD‐based bolometer device enables room‐temperature wavelength‐selective photodetection across the mid‐ to ...
Gaurav Kumar, Mariona Dalmases, Nima Taghipour, Rajesh Bera, Guy L. Whitworth, Goretti Torres Perez, Miguel Dosil, Gerasimos Konstantatos   +7 more
wiley   +1 more source

Predicting Employee Turnover Based on Improved ADASYN and GS-CatBoost

Mathematics
In corporate management practices, human resources are among the most active and critical elements, and frequent employee turnover can impose substantial losses on firms.
Shuigen Hu, Kai Dong
doaj   +1 more source

Utilizing grid search cross-validation with adaptive boosting for augmenting performance of machine learning models. [PDF]

PeerJ Comput Sci, 2022
Adnan M, Alarood AAS, Uddin MI, Ur Rehman I.   +3 more
europepmc   +1 more source

Direct Synthesis of High‐Valence Protein@UiO‐66 Composites: Linking Crystallization Pathways to Protein Encapsulation

Advanced Materials, EarlyView.
This work reports a direct, biocompatible method to synthesize UiO‐66, enabling one‐step encapsulation of proteins without compromising crystallinity or activity. Using advanced in situ and ex situ techniques, the study reveals that proteins integrate concurrently with MOF growth, forming crystalline protein@UiO‐66 nanoparticles, and provide insight ...
Jesús Cases Díaz, Jana Glatz, Elisa Merced Olivas, Ramon Pons, Joseph P. Patterson, Mónica Giménez‐Marqués   +5 more
wiley   +1 more source

Optimizing Sentiment Classification Models for TikTok Comments using Emotion-Based Preprocessing and Grid Search

Journal of Applied Informatics and Computing
TikTok has become one of the social media platforms with a significant influence on public opinion formation in Indonesia. However, the linguistic characteristics of user comments which are expressive, concise, and feature emotional forms like emojis ...
Bagas Restya Ermawan, Mahendra Bayu Prayoga, Akmal Rafi Fadhillah, Ema Utami   +3 more
doaj   +1 more source

A novel LSTM-CNN-grid search-based deep neural network for sentiment analysis. [PDF]

J Supercomput, 2021
Priyadarshini I, Cotton C.
europepmc   +1 more source

Grid Search, Random Search, Genetic Algorithm: A Big Comparison for NAS

, 2019
11 pages, 5 figures, 3 ...
Liashchynskyi, Petro, Liashchynskyi, Pavlo   +1 more
openaire   +2 more sources