Results 61 to 70 of about 33,521 (261)

Parameter Estimation for Traffic Noise Models Using a Harmony Search Algorithm

Journal of Applied Mathematics, 2013
A technique has been developed for predicting road traffic noise for environmental assessment, taking into account traffic volume as well as road surface conditions. The ASJ model (ASJ Prediction Model for Road Traffic Noise, 1999), which is based on the
Deok-Soon An, Young-Chan Suh, Sungho Mun, Byung-Sik Ohm   +3 more
doaj   +1 more source

Influence of Honking on the Road Traffic Noise Generated at Urban Rotaries for Heterogeneous Traffic

Environmental and Climate Technologies, 2020
This paper presents a study conducted at major rotaries for quantifying the traffic noise levels by considering the vehicle volume and their respective honking as governing parameters for heterogeneous traffic.
Aditya Kamineni, Chowdary Venkaiah
doaj   +1 more source

Road traffic noise model.

Journal of research in health sciences, 2013
The recognition of road traffic noise as one of the main sources of environmental pollution has led to develop models that enable to predict noise level from fundamental variables. Traffic noise prediction models are required as aids for designing roads and highways.
R, Golmohammadi, M, Abbaspour, P, Nassiri, H, Mahjub   +3 more
openaire   +1 more source

An On‐Demand Neuromorphic Vision System Enabled by a Multi‐Paradigm Neuromorphic Device and Hierarchical Reconfigurability Designed from Device to System Level

Advanced Science, EarlyView.
An on‐demand ultra‐reconfigurable intelligent vision system with hierarchical reconfigurability from device to system levels is demonstrated. Through co‐design of a multi‐paradigm device, reconfigurable circuits, and adaptive system architecture/algorithms, the system enables seamless switching among spiking, non‐spiking, neuromorphic imaging (NI), and
Biyi Jiang, Jiayi Xu, Liang Ran, Xinhe Feng, Khalil Harrabi, Yida Li, Longyang Lin, Feichi Zhou   +7 more
wiley   +1 more source

Predictive noise annoyance and noise-induced health effects models for road traffic noise in NCT of Delhi, India

Noise Mapping
The present study analyzed the effect of noise annoyance due to road traffic based on a comprehensive socio-acoustics survey at a large number of sites in the NCT of Delhi.
Chauhan Bhagwat Singh, Garg Naveen, Tiwari Shashikant   +2 more
doaj   +1 more source

Single‐Cell Transcriptomic Analysis of Tumor Heterogeneity and the Microenvironment in Pseudomyxoma Peritonei

Advanced Science, EarlyView.
This study presents a single‐cell atlas of pseudomyxoma peritonei spanning primary and paired metastatic lesions. Distinct epithelial substates, stromal remodeling, immune exclusion, lipid metabolic reprogramming, and a candidate angiogenic network were identified in metastatic lesions.
Xi Li, Lei Wang, Lei Ai, Zimeng Li, Zhaochangci Chen, Yuchen Luo, Tianran Zhang, Mengjia Liao, Songhao Wang, Jiajia Cui, Ke Liu, Chengxian Guo, Guodong Liu, Jiye Yin, Wei Wu   +14 more
wiley   +1 more source

A Statistical Analysis of Traffic Flow Characteristics of Multilane Highways in Baghdad City, Part B: Traffic Noise Levels

Tikrit Journal of Engineering Sciences, 2007
Road traffic noise is a function of basic traffic element (flow, speed, density) and percentage of heavy vehicles. The recognition of traffic noise as a one of the main sources of environmental pollution has led to the development of statistical models ...
Mohammed Y. Taha, Abd Al-Kareem N. Abood   +1 more
doaj   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Performance–Complexity Trade‐Offs in Battery Lifetime Prediction with Task‐Aware Transformers

Advanced Science, EarlyView.
FAST‐BatPro integrates convolutional feature extraction, flash Attention, and sparse attention for efficient battery lifetime prediction. Using limited early‐cycle data across multiple chemistries and operating conditions, it achieves robust accuracy while reducing inference latency, computational cost, and energy consumption.
Jingyuan Zhao, Misheng Cai, Zhenghong Wang, Yan Wang, Yuqi Li, Bo Dong, Hewu Wang, Andrew F. Burke, Simona Onori, Stephen J. Harris   +9 more
wiley   +1 more source

A Nested Ensemble Filtering Approach for Parameter Estimation and Uncertainty Quantification of Traffic Noise Models

Applied Sciences, 2019
In this study, a nested ensemble filtering (NEF) approach is advanced for uncertainty parameter estimation and uncertainty quantification of a traffic noise model.
Kai Huang, Yurui Fan, Liming Dai
doaj   +1 more source