A comprehensive review of trip generation models based on land use characteristics
J Mukherjee, BR Kadali - Transportation Research Part D: Transport and …, 2022 - Elsevier
To assess the impact of any proposed development, it is necessary to estimate the trips that
are likely to be generated because of such development. In case of developing countries …
are likely to be generated because of such development. In case of developing countries …
An intelligent method for iris recognition using supervised machine learning techniques
In the new millennium, with chaotic situation that exist in the world, people are threaten with
multifarious terrorist attacks. There have been several intelligent ways in order to recognize …
multifarious terrorist attacks. There have been several intelligent ways in order to recognize …
Smart structural health monitoring of flexible pavements using machine learning methods
N Karballaeezadeh, D Mohammadzadeh S… - Coatings, 2020 - mdpi.com
The pavement is a complex structure that is influenced by various environmental and
loading conditions. The regular assessment of pavement performance is essential for road …
loading conditions. The regular assessment of pavement performance is essential for road …
Neural network and fuzzy logic based smart DSS model for irrigation notification and control in precision agriculture
The efficiency and uniformity of irrigation can be maintained from the complex and diverse
information based systems by considering weather, soil, water, and crop data. The model is …
information based systems by considering weather, soil, water, and crop data. The model is …
[HTML][HTML] Application of adaptive neuro-fuzzy inference system in modelling home-based trip generation
M Irshaid, S Abu-Eisheh - Ain Shams engineering journal, 2023 - Elsevier
This study investigates the feasibility of using the Adaptive Neuro-Fuzzy Inference System
(ANFIS) in modelling home-based trip generation, and evaluates its performance as relative …
(ANFIS) in modelling home-based trip generation, and evaluates its performance as relative …
Prediction of gross calorific value of coal based on proximate analysis using multiple linear regression and artificial neural networks
M Acikkar, O Sivrikaya - Turkish Journal of Electrical …, 2018 - journals.tubitak.gov.tr
Gross calorific value (GCV) of coal was predicted by using as-received basis proximate
analysis data. Two main objectives of the study were to develop prediction models for GCV …
analysis data. Two main objectives of the study were to develop prediction models for GCV …
[PDF][PDF] Evaluation of interregional freight generation modelling methods by using nationwide commodity flow survey data
W Hirun - Am. J. Eng. Applied Sci, 2016 - scholar.archive.org
A trip generation model is one of the four parts of the classical transport planning model,
which explores the volume of trip or freight at the originating and destination points of a …
which explores the volume of trip or freight at the originating and destination points of a …
The dark side of innovation in local authorities: influential typologies and impacted modalities
D El Kadiri Boutchich, N Gallouj - International Journal of Innovation …, 2023 - emerald.com
Purpose This study aims to highlight the negative effects of innovation with regard to
innovation typologies and human, organizational, economic and societal variables in local …
innovation typologies and human, organizational, economic and societal variables in local …
Yıkanmış Türk Linyit Kömürlerinin Üst Isıl Değerinin Destek Vektör Regresyonu ile Tahmini
M Açıkkar, O Sivrikaya - Avrupa Bilim ve Teknoloji Dergisi, 2020 - dergipark.org.tr
Bu çalışmada yıkanmış Türk linyit kömürlerinin üst ısıl değeri (GCV), makine öğrenmesi
yöntemleri ile kömür numunelerinin kuru baz kısa analiz sonuçları kullanılarak tahmin …
yöntemleri ile kömür numunelerinin kuru baz kısa analiz sonuçları kullanılarak tahmin …
Impact of ethics on research productivity in higher education
D El Kadiri Boutchich - International Journal of Ethics Education, 2021 - Springer
The objective of this research is to assess the impact of ethics on research productivity within
laboratories of public universities. To achieve this objective, neural networks' method is used …
laboratories of public universities. To achieve this objective, neural networks' method is used …