Results 131 to 140 of about 226,772 (300)

A proposed reinforcement learning approach via discrete control reformulation and multi-step double DQN for adaptive cruise control in electric vehicles

Scientific Reports
Adaptive cruise control (ACC) plays a critical role in enhancing road safety and energy efficiency in electric vehicles (EVs). Traditional ACC approaches often face challenges in adapting to complex, dynamic driving environments.
Assem Meghawer, Yasser El-Shaer, Mohamed I. Abu El-Sebah, Mohamed Fawzy El-Khatib   +3 more
doaj   +1 more source

Pest Smart interventions and their influence on farmer pest management practices in Tra Hat village, Bac Lieu Province, Vietnam [PDF]

, 2017
A pre-Pest Smart (baseline) and post-Pest Smart intervention study was carried out 15 months after the baseline study was conducted to assess the influence of the Pest Smart activities on farmers’ practices, attitudes and beliefs on pest management in ...
Khing Su Li, Le Minh Duong, Sivapragasam, Annamalai, Van Chien, Ho   +3 more
core  

Enhancement of the Plant‐Accessible Phosphate Fraction in Sewage Sludge Ashes by Na+ or K+ Addition Prior to Combustion

ChemSusChem, Volume 18, Issue 6, March 15, 2025.
The addition of Na2CO3 or K2CO3 to sewage sludge prior to combustion leads to the production of ashes containing phosphate in the form of buchwaldite‐like phases (Ca(Na/K)PO4). Compared to conventional sewage sludge mono‐ashes, such Na‐ or K‐ashes show greatly increased P‐solubilities and proved to be potent P‐fertiliser materials in greenhouse ...
Lorenz Bier‐Schorr, Viktoria Gräser, Michael Scherer‐Lorenzen, Peter Hajek, Philipp Kurz   +4 more
wiley   +1 more source

Real‐time monitoring of tunnel structures using digital twin and artificial intelligence: A short overview

Deep Underground Science and Engineering, EarlyView.
How artificial intelligence (AI) and digital twin (DT) technologies are revolutionizing tunnel surveillance, offering proactive maintenance strategies and enhanced safety protocols. It explores AI's analytical power and DT's virtual replicas of infrastructure, emphasizing their role in optimizing maintenance and safety in tunnel management.
Mohammad Afrazi, Danial Jahed Armaghani, Hossein Afrazi, Hadi Fattahi, Pijush Samui   +4 more
wiley   +1 more source

A review on rockburst prediction and prevention to shape an ontology‐based framework for better decision‐making for underground excavations

Deep Underground Science and Engineering, EarlyView.
A scientometric analysis of 2449 journal articles and a comprehensive review of 336 papers were conducted, discussing and identifying challenges and research gaps in rockburst prediction and prevention and proposing an ontology‐based framework for better decision‐making in underground excavations. Abstract With underground engineering projects becoming
Hongchuan Yan, Haijiang Li, Hongqiang Xie, Mingli Xiao, Jianliang Pei, Huaizhong Liu, Jiangda He   +6 more
wiley   +1 more source

What deep learning can (and can’t) see: a systemic review assessing applicability for quantifying qualities of urban vitality

Computational Urban Science
Deep learning (DL) methods are an emerging tool that can be well-suited to uncover the complexity of urban vitality at a greater scale and depth. However, the use of DL in the field, even beyond vitality, remains underexplored, with no established state ...
Amal A. Amer, Nancy M. Abdel-Moneim, Heba Allah Essam E. Khalil   +2 more
doaj   +1 more source

Community Justice Initiatives in the Galena District Court [PDF]

, 2014
This article examines a community outreach program in rural Alaska whereby an Alaska Court System judge uses restorative justice principles in village sentencing hearings.[Introduction] / Community Involvement / Restorative Community Outreach in the ...
May, Jeff D.
core  

Strengthening urban resilience in China through underground infrastructures management: Addressing global climate challenges with technological solutions

Deep Underground Science and Engineering, EarlyView.
This paper explores how climate‐resilient technologies, such as smart grids, digital twins, and self‐healing materials, can enhance urban resilience. It highlights the urgent need for proactive planning, public‐private collaboration, and data‐driven innovation to future‐proof underground infrastructure amid accelerating climate and urban pressures ...
Kai Chen Goh, Tonni Agustiono Kurniawan, Christia Meidiana, Abdelkader Anouzla, Faissal Aziz, Imran Ali, Joan Cecilia C. Casila, M. Imran Khan, Dongdong Zhang, Meihui Jiang, Mohd Hafiz Dzarfan Othman, Md Munir Hayet Khan, Kasun Kumara Dissanayake   +12 more
wiley   +1 more source

IEEE Smart Village [PDF]

IEEE Industry Applications Magazine, 2022
openaire   +2 more sources

Rechargeable Self‐Powered Flexible Pressure Sensors With Adjustable Sensitivity Based on Quasi‐Solid‐State Zinc‐Ion Batteries

EcoEnergy, EarlyView.
his paper presents a self‐powered, rechargeable quasi‐solid‐state zinc‐ion battery‐based flexible pressure sensor with adjustable sensitivity, excellent performance and broad application prospects. ABSTRACT Flexible pressure sensors hold broad application prospects in electronic skin, human–machine interaction, and health monitoring.
Qianqian Yao, Liangxian Wang, Ziqi Ren, Jianyu Yin, Qixiang Zhang, Mingfang Deng, Nishuang Liu, Yihua Gao   +7 more
wiley   +1 more source