Results 61 to 70 of about 54,763 (263)
IATSS Research, 2020 Until now, considerable efforts have been made to determine which modelling technique performs the best for predicting accident frequency based on crash data.
Amir Mohammadian Amiri +2 more
doaj +1 more source
Prediction of suspended sediment distributions using data mining algorithms
Ain Shams Engineering Journal, 2021 Distribution of sediment concentration in open-channel flows, particularly in rivers, is one of the most important factors in understanding the river behavior, water quality, and design of hydraulic structures.
Yaser Mehri +2 more
doaj +1 more source
Science of the Total Environment, 2020 This study is an attempt to quantitatively test and compare novel advanced-machine learning algorithms in terms of their performance in achieving the goal of predicting flood susceptible areas in a low altitudinal range, sub-tropical floodplain ...
Aman Arora +7 more
semanticscholar +1 more source
Determination of industrial energy demand in Turkey using MLR, ANFIS and PSO-ANFIS [PDF]
Journal of Artificial Intelligence and Systems, 2021 Energy is one of the most critical inputs in social and economic development, is an essential factor in increasing living standards and creating sustainable development. Since energy is an indispensable input in all sectors, energy dependence contributed to the necessity of countries' energy policy.
openaire +1 more source
A Fuzzy-Logic Approach to Dynamic Bayesian Severity Level Classification of Driver Distraction Using Image Recognition [PDF]
, 2020 open access articleDetecting and classifying driver distractions is crucial in the prevention of road accidents. These distractions impact both driver behavior and vehicle dynamics.
Al-Bayatti, Ali Hilal +6 more
core +2 more sources
Comparative performance of intelligent algorithms for system identification and control [PDF]
, 2008 This paper presents an investigation into the comparative performance of intelligent system identification and control algorithms within the framework of an active vibration control (AVC) system.
Dahal, Keshav +3 more
core +2 more sources
Advanced Intelligent Systems, EarlyView.Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella +5 more
wiley +1 more source
Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN
Deep Underground Science and Engineering, EarlyView.A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan +4 more
wiley +1 more source
Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 2021 Buharlaşma, yeryüzünde bulunan suyun atmosfere transferi olarak tanımlanabilmektedir. Buharlaşma miktarının doğru tahmini özellikle kurak dönemler ve kurak alanlarda büyük öneme sahiptir.
Özlem Terzi, Tahsin Baykal
doaj +1 more source
Electricity consumption forecasting using Adaptive Neuro-Fuzzy Inference System (ANFIS) [PDF]
, 2019 Universiti Tun Hussein Onn Malaysia (UTHM) is a developing Malaysian Technical University. There is a great development of UTHM since its formation in 1993.
K.G., Tay +3 more
core +1 more source