Results 121 to 130 of about 9,447,405 (297)

What Explains Racial Differences in Farm Succession Planning? Evidence From Decomposition and Counterfactual Analysis

open access: yesAgribusiness, EarlyView.
ABSTRACT This paper examines racial differences in farm succession planning using survey data from Tennessee farmers. While observed differences between White and Black farmers are small, decomposition and counterfactual analyses show that structural characteristics, particularly farm size, would predict higher succession planning among White farmers ...
Abdelaziz Lawani   +2 more
wiley   +1 more source

Teknik self control sebagai intervensi efektif untuk mereduksi kecanduan game online pada remaja

open access: yesCounsellia
Fenomena kecanduan game online semakin banyak ditemukan pada peserta didik, termasuk siswa Sekolah Menengah Kejuruan (SMK). Permasalahan ini berdampak pada motivasi belajar, prestasi akademik, serta kemampuan regulasi diri. Penelitian ini bertujuan untuk
Wisnu Kurniawan   +4 more
doaj   +1 more source

Interpretable Machine Learning for Bandgap Prediction and Descriptor‐Guided Design Rules of Phosphates

open access: yesAdvanced Intelligent Discovery, EarlyView.
An explainable CatBoost model was trained to predict the bandgaps of 474 phosphate crystals based on composition and density descriptors. SHAP analysis identified two key variables—d‐electron‐count dispersion and atomic‐density dispersion—as the primary drivers of the model's predictions.
Wenhu Wang   +3 more
wiley   +1 more source

Monetizing achievement: flow experience, game genre, and in-game consumption in the marketing communication of virtual goods

open access: yesFrontiers in Communication
Background and objectiveOnline games combine gameplay with commercial communication through rankings, rewards, item descriptions, progression systems, and competitive feedback. These features communicate the functional and symbolic value of virtual goods,
Yunyan Huang   +5 more
doaj   +1 more source

Robust Reinforcement Learning Control Framework for a Quadrotor Unmanned Aerial Vehicle Using Critic Neural Network

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai   +3 more
wiley   +1 more source

KETERGANTUNGAN ONLINE GAME DAN PENANGANANNYA

open access: yesJurnal Psikologi Pendidikan dan Konseling, 2015
Penelitian ini dimaksudkan untuk mengetahui perilaku yang ditimbulkan dari kecanduan bermaian online game pada siswa SMP Negeri 1 Palu yang meliputi faktor-faktor penyebab kecanduan, keadaan psikologis yang ditimbulkan dari kecanduan bermain online game ...
Ridwan Syahran
doaj  

Integrating Reinforcement Learning With Explainable Artificial Intelligence for Real‐Time Clinical Decision Support in Dynamic Healthcare Environments

open access: yesAdvanced Intelligent Systems, EarlyView.
A hybrid Reinforcement Learning–Explainable AI framework integrates SHAP and LIME explanations directly into a Deep Q‐Network inference loop for real‐time ICU decision support. Trained on 18 142 mechanically ventilated stays from the eICU database, the system attains 93.0% decision accuracy, 20% fewer errors than RL alone, and a 91% clinician trust ...
Jannatul Ferdaus Disha   +2 more
wiley   +1 more source

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