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• Recognition of the 24-hour Noise Exposure of a Human

  Tomasz KORBIEL, Bartłomiej STĘPIEŃ, Wojciech BATKO, Robert BARAŃSKI, Dominik MLECZKO, Paweł PAWLIK, Jędrzej BLAUT

  2017-11-13

  601–607
• A Microscopic Prediction Model for Traffic Noise in Adjacent Regions to Arterial Roads

  Ming LI, Jizhou LIU

  2023-05-29

  433–449
• A fundamental study for predicting the urban street noise by use of the image method approach

  Mitsuo OHTA, Yasuo MITANI

  59-74
• Uncertainty of $L_{\textrm{DEN}}$ calculation for corona noise from Ultra High Voltage power lines using reference methods

  Tadeusz Wszołek

  2014-01-01

  303-310
• Hybrid Artificial Boundary Conditions for the Application of Blunt-Body Aerodynamic Noise Prediction

  Ruixian MA, Zhansheng LIU, Con J. DOOLAN, Danielle J. MOREAU, Michał CZARNECKI

  2019-01-21

  105–116
• Some noise cancellation and prediction methods on the response probability distribution form for complicated sound wall systems with background noise

  M. OHTA, N. TAKAKI

  293-304
• Acoustic Attenuation Performance Analysis and Optimisation of Expansion Chamber Coupled Micro-perforated Cylindrical Panel Using Response Surface Method

  Mohamad Izudin ALISAH, Lu-Ean OOI, Zaidi Mohd RIPIN, Ahmad Fadzli YAHAYA, Kelvin HO

  2021-08-24

  507–517
• Sound Quality Prediction Method of Dual-Phase Hy-Vo Chain Transmission System Based on MFCC-CNN and Fuzzy Generation

  Jiabao LI, Lichi AN, Yabing CHENG, Haoxiang WANG

  2024-10-21

  527–542
• A practical probabilistic prediction of road traffic noise from a filtered poisson process model with a simplified elementary time pattern of triangular type

  Shizuma YAMAGUCHI, Mitsuo OHTA, Kazumasa NAKAMURA

  75-91
• Road traffic noise from a stopping line

  R. Makarewicz, P. Kokowski
• Verification of the method for prediction of the equivalent level of freely flowing traffic noise

  R. MAKAREWICZ, J. JARZĘCKI

  157-168
• Noise prediction on ships

  Edward SZCZERBICKI, Andrzej SZUWARZYŃSKI

  111-122
• Acoustic modelling of machines using the inversion method for the purposes of the acoustic assessment of machines

  Dariusz PLEBAN

  321-327
• A practical trial of stochastic system identification under existence of background noise based on equivalence of statistics and its application to response probability evalutation of acoustic system with music input

  Mitsuo OHTA, Kiminobu NISHIMURA

  2014-06-30

  213-220