Results 1 to 10 of about 254,846 (297)

Designing a Fruit Identification Algorithm in Orchard Conditions to Develop Robots Using Video Processing and Majority Voting Based on Hybrid Artificial Neural Network [PDF]

open access: yesApplied Sciences, 2020
The first step in identifying fruits on trees is to develop garden robots for different purposes such as fruit harvesting and spatial specific spraying.
Sajad Sabzi   +3 more
doaj   +3 more sources

Comparison of artificial intelligence models and experimental models in estimating reference evapotranspiration (Case study: Ramhormoz synoptic station) [PDF]

open access: yesمدل‌سازی و مدیریت آب و خاک, 2023
IntroductionWater resources are strongly influenced by the hydrological cycle and the estimation of evapotranspiration as the main component of the hydrological cycle plays an important role in water resources management. This phenomenon is nonlinear and
Danial Khari   +2 more
doaj   +1 more source

Detection of Biomedical Images by Using Bio-inspired Artificial Intelligent [PDF]

open access: yesEngineering and Technology Journal, 2020
Computer vision and image processing are extremely necessary for medical pictures analysis. During this paper, a method of Bio-inspired Artificial Intelligent (AI) optimization supported by an artificial neural network (ANN) has been widely used to ...
Hanan A. R. Akkar, Sameem A. Salman
doaj   +1 more source

Bionic Artificial Neural Networks in Medical Image Analysis

open access: yesBiomimetics, 2023
Bionic artificial neural networks (BANNs) are a type of artificial neural network (ANN) [...]
Shuihua Wang, Huiling Chen, Yudong Zhang
doaj   +1 more source

METODE KOMPARASI ARTIFICIAL NEURAL NETWORK PADA PREDIKSI CURAH HUJAN - LITERATURE REVIEW

open access: yesJurnal Tekno Insentif, 2020
Abstrak - Penelitian untuk mencari model prediksi curah hujan yang akurat di berbagai bidang sudah banyak dilakukan, maka dilakukan di-review kembali guna membantu proses penyaliran dalam perusahaan tambang.
Herlina Jayadianti   +3 more
doaj   +1 more source

Development and Comparison of Two Novel Hybrid Neural Network Models for Hourly Solar Radiation Prediction

open access: yesApplied Sciences, 2022
There are a lot of developing countries with inadequate meteorological stations to measure solar radiation. This has been a major drawback for solar power applications in these countries as the performance of the solar-powered system cannot be accurately
Mustapha Mukhtar   +6 more
doaj   +1 more source

An improved neurogenetic model for recognition of 3D kinetic data of human extracted from the Vicon Robot system

open access: yesمجلة بغداد للعلوم, 2023
These days, it is crucial to discern between different types of human behavior, and artificial intelligence techniques play a big part in that.  The characteristics of the feedforward artificial neural network (FANN) algorithm and the genetic algorithm ...
Ivan V. Stepanyan, Safa A. Hameed
doaj   +1 more source

Towards explicit representation of an artificial neural network model: Comparison of two artificial neural network rule extraction approaches

open access: yesPetroleum, 2020
In the quest for interpretable models, two versions of a neural network rule extraction algorithm were proposed and compared. The two algorithms are called the Piece-Wise Linear Artificial Neural Network (PWL-ANN) and enhanced Piece-Wise Linear ...
Veronica K.H. Chan, Christine W. Chan
doaj   +1 more source

NEURAL-NETWORK MODEL OF SOFTWARE QUALITY PREDICTION BASED ON QUALITY ATTRIBUTES

open access: yesКомпютерні системи та інформаційні технології, 2022
The paper proposes a neural-network model of software quality prediction based on quality attributes. The proposed model differs from the known models, because it provides considering the importance of each quality attribute and their interaction within
MYKYTA LEBIGA   +2 more
doaj   +1 more source

Absorption in the wavemaker by Artificial neural networks (ANNs)

open access: yesInternational Journal of Innovation in Engineering, 2022
Wave-making theories are becoming available, but their applicability is limited to specific ranges of waves and wavemaker types. Machine learning can also be used to discover nonlinear functional relationships. As a result, based on machine learning, this paper proposes a simple and universal framework for generating and absorbing waves.This framework ...
Amini, Meysam, Seif, Mohammad Saeed
openaire   +1 more source

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