An artificial intelligence-assisted physiologically-based pharmacokinetic model to predict nanoparticle delivery to tumors in mice

WC Chou, Q Chen, L Yuan, YH Cheng, C He… - Journal of Controlled …, 2023 - Elsevier
The critical barrier for clinical translation of cancer nanomedicine stems from the inefficient
delivery of nanoparticles (NPs) to target solid tumors. Rapid growth of computational power …

[HTML][HTML] Short-term PV power forecasting using a regression-based ensemble method

AAH Lateko, HT Yang, CM Huang - Energies, 2022 - mdpi.com
One of the most critical aspects of integrating renewable energy sources into the smart grid
is photovoltaic (PV) power generation forecasting. This ensemble forecasting technique …

Research Trends in Software Development Effort Estimation

Y Swandari, R Ferdiana… - 2023 10th International …, 2023 - ieeexplore.ieee.org
Develo** a software project without the appropriate amount of effort would significantly
impede and even fail the project, putting the software developer's quality at risk. Therefore …

Comparison of the data mining and machine learning algorithms for predicting the final body weight for Romane sheep breed

C Tırınk, H Önder, D Francois, D Marcon, U Şen… - Plos One, 2023 - journals.plos.org
The current study aimed to predict final body weight (weight of fourth months of age to select
the future reproducers) by using birth weight, birth type, sex, suckling weight, age at suckling …

Effective software effort estimation leveraging machine learning for digital transformation

A Jadhav, SK Shandilya, I Izonin, M Gregus - IEEE Access, 2023 - ieeexplore.ieee.org
Software effort estimation is a necessary component of software development projects that
belong to industrial software systems and digital transformation initiatives. Digital …

Software development effort estimation using boosting algorithms and automatic tuning of hyperparameters with Optuna

M Hassanali, M Soltanaghaei… - Journal of Software …, 2024 - Wiley Online Library
Considering the increasing need for software projects, estimating software development
efforts is essential and can lead to improved project delivery quality. Machine learning …

Estimation of body weight based on biometric measurements by using random forest regression, support vector regression and CART algorithms

C Tırınk, D Piwczyński, M Kolenda, H Önder - Animals, 2023 - mdpi.com
Simple Summary This study aimed to estimate body weight from various biometric
measurements and features such as genotype (share of Suffolk and Polish Merino …

[PDF][PDF] An Improving Long Short Term Memory-Grid Search Based Deep Learning Neural Network for Software Effort Estimation.

R Marco, SSS Ahmad, S Ahmad - International Journal of Intelligent …, 2023 - inass.org
One of the main reasons that hinders making software effort estimation remains a most of the
unresolved problem due to the heterogeneous nature of software data with complex …

Multi-step dynamic ensemble selection to estimate software effort

A Jadhav, SK Shandilya, I Izonin… - Applied Artificial …, 2024 - Taylor & Francis
ABSTRACT Software Effort Estimation (SEE) is a foremost concern of software companies in
order to successfully develop and deliver software products within a defined budget and …

Enhanced multi-verse optimizer (TMVO) and applying it in test data generation for path testing

MH Ryalat, HN Fakhouri, J Zraqou… - International …, 2023 - search.proquest.com
Data testing is a vital part of the software development process, and there are various
approaches available to improve the exploration of all possible software code paths. This …