[1]
|
Review of Deep Learning: A New Era
|
|
ICT Infrastructure and Computing,
2023 |
|
|
[2]
|
A Practical Approach to Model the H-index based on the Total Number of Citations and the Duration from the Publishing of the First Article
|
|
2022 |
|
|
[3]
|
Conceptual Metaphors in Divan of Hafiz and Bustan of Sa'adi
|
|
2022 |
|
|
[4]
|
Statistical Analysis of the Aphorisms in Nahj al-Balaghah
|
|
2022 |
|
|
[5]
|
CLASSIFICATION OF PULMONARY CANCER HISTOTYPES FROM COMPUTED TOMOGRAPHY SCAN
|
|
2022 |
|
|
[6]
|
Studying the God's Traits in Qur'an using Data Visualization Technique
|
|
2022 |
|
|
[7]
|
Multi‐objective memetic approach for the optimal web services composition
|
|
Expert Systems,
2022 |
|
|
[8]
|
Integration of neural network and fuzzy logic decision making compared with bilayered neural network in the simulation of daily dew point temperature
|
|
… of Computational Fluid …,
2022 |
|
|
[9]
|
Accurate discharge coefficient prediction of streamlined weirs by coupling linear regression and deep convolutional gated recurrent unit
|
|
Engineering …,
2022 |
|
|
[10]
|
Energetic thermo-physical analysis of MLP-RBF feed-forward neural network compared with RLS Fuzzy to predict CuO/liquid paraffin mixture properties
|
|
Engineering …,
2022 |
|
|
[11]
|
Comparative analysis of machine learning and numerical modeling for combined heat transfer in Polymethylmethacrylate
|
|
Polymers,
2022 |
|
|
[12]
|
Inverse Design of Materials by Machine Learning
|
|
Materials,
2022 |
|
|
[13]
|
Comparative Analysis of the Spectral Densities of Independent Cyclostationary Processes
|
|
OSF …,
2022 |
|
|
[14]
|
Navigating kernel selections in kernel-based methods: The issues and possible solutions
|
|
AIAA SCITECH 2022 Forum,
2022 |
|
|
[15]
|
Testing the Equality of the Spectral Densities for Several Independent Almost Cyclostationary Time Series
|
|
2022 |
|
|
[16]
|
Periodic Copula to Study the Relationship between Two Cyclostationary Time Series with Fractional Brownian Motion Errors
|
|
2022 |
|
|
[17]
|
On Comparing Spectral Densities of Several Almost Cyclostationary Processes
|
|
2022 |
|
|
[18]
|
Statistical Approaches in Literature: An Application of Principal Component Analysis and Factor Analysis to Analyze the Different Arrangements about the Quran's …
|
|
2022 |
|
|
[19]
|
Analysis of Mystical Concepts in Khaghani's Divan using Text Mining
|
|
2022 |
|
|
[20]
|
Statistical Modeling of the Ratio of the Kurtoses Using Two Separate Datasets
|
|
2022 |
|
|
[21]
|
Time indexed covariate analysis of the administered vaccine doses on Covid-19 spread
|
|
OSF Preprints. April,
2022 |
|
|
[22]
|
On the Ratio of the Kurtoses of Two Separate Datasets
|
|
2022 |
|
|
[23]
|
Comparison and Clustering the Alternatives of Love in Divan of Hafiz
|
|
2022 |
|
|
[24]
|
Statistical Analysis of the Conceptual Metaphors in Divan of Hafiz and Bustan of Sa'adi
|
|
2022 |
|
|
[25]
|
An improved elephant herding optimization using sine–cosine mechanism and opposition based learning for global optimization problems
|
|
2021 |
|
|
[26]
|
Diffusion analysis with high and low concentration regions by the finite difference method, the adaptive network-based fuzzy inference system, and the bilayered …
|
|
Engineering …,
2021 |
|
|
[27]
|
Fuzzy clustering to classify several regression models with fractional Brownian motion errors
|
|
Alexandria Engineering Journal,
2020 |
|
|
[28]
|
A statistical view to study the aphorisms in Nahj al-Balaghah
|
|
Digital Scholarship in the Humanities,
2020 |
|
|
[29]
|
Prediction for the processes with almost cyclostationary structure
|
|
Journal of Statistical …,
2020 |
|
|
[30]
|
Hybridizing salp swarm algorithm with particle swarm optimization algorithm for recent optimization functions
|
|
2020 |
|
|
[31]
|
A reactive search optimization algorithm for scientific workflow scheduling using clustering techniques
|
|
2020 |
|
|
[32]
|
Optimization of Mechanical Components by the Improved Grey Wolf Optimization
|
|
2020 |
|
|
[33]
|
Performance Validation of Jaya Algorithm to The Most Well-known Testbench Problem
|
|
2020 |
|
|
[34]
|
Energy consumption prediction using machine learning; a review
|
|
2019 |
|
|
[35]
|
On the performance improvement of elephant herding optimization algorithm
|
|
2019 |
|
|
[36]
|
Energy consumption prediction using machine learning: A review
|
|
2019 |
|
|
[37]
|
Image Classification Using TensorFlow
|
|
2019 |
|
|
[38]
|
Deep learning: a branch of machine learning
|
|
2019 |
|
|
[39]
|
Parkinson's Disease Detection Using Biogeography-Based Optimization
|
|
Computers, Materials & Continua,
2019 |
|
|
[40]
|
SLA-Constraint Based Resource Provisioning Algorithm for Scientific Workflow on Cloud
|
|
2019 |
|
|
[41]
|
REVIEW ON: DEEP LEARNING AND APPLICATIONS
|
|
2019 |
|
|
[42]
|
Deep Learning Analysis: A Review
|
|
2018 |
|
|
[43]
|
Developing of Ultrasound Experimental Methods using Machine Learning Algorithms for Application of Temperature Monitoring of Nano-Bio-Composites …
|
|
2018 |
|
|
[44]
|
Developing of Ultrasound Experimental Methods using Machine Learning Algorithms for Application of Temperature Monitoring of Nano-Bio-Composites Extrusion
|
|
2018 |
|
|
[45]
|
CLIMATE CHANGE PREDICTION: STATE OF THE ART AND CLASSIFICATION OF ARTIFICIAL INTELLIGENCE METHODS
|
|
Preprint,
2018 |
|
|
[46]
|
BLOCKCHAIN TECHNOLOGY: STATE OF THE ART AND TAXONOMY OF APPLICATIONS
|
|
2018 |
|
|
[47]
|
CLASSIFICATION AND REVIEWING MACHINE LEARNING TOOLS FOR HYDROLOGICAL PREDICTION
|
|
Preprint,
2018 |
|
|
[48]
|
Dynamic Resource Allocation in Cloud Computing
|
|
2017 |
|
|
[49]
|
Reviewing the Novel Machine Learning Tools for Materials Design
|
|
Recent Advances in Technology Research and Education,
2017 |
|
|
[50]
|
Optimal Design of Electrical Machines: State of the Art Survey
|
|
Recent Advances in Technology Research and Education,
2017 |
|
|
[51]
|
Predicting the Future Using Web Knowledge: State of the Art Survey
|
|
Recent Advances in Technology Research and Education,
2017 |
|
|
[52]
|
Comparison of Euler-Bernoulli and Timoshenko Beam Equations for Railway System Dynamics
|
|
Recent Advances in Technology Research and Education,
2017 |
|
|
[53]
|
DEEP LEARNING: A REVIEW
|
|
2017 |
|
|
[54]
|
Learning and intelligent optimization for material design innovation
|
|
978-3-319-69462-7,
2017 |
|
|
[55]
|
Learning and intelligent optimization for computational materials design innovation
|
|
2017 |
|
|
[56]
|
ModeFrontier for the Optimal Design of Electrical Machines
|
|
INTERNATIONAL CAE CONFERENCE AND EXHIBITION,
2017 |
|
|
[57]
|
Integration of Machine Learning and Optimization for Robot Learning
|
|
Recent Global Research and Education: Technological Challenges,
2017 |
|
|
[58]
|
Learning in Robotics
|
|
2017 |
|
|
[59]
|
Neural Networks for Modeling and Control of Particle Accelerators
|
|
IEEE Transactions on Nuclear Science,
2016 |
|
|
[60]
|
Predictive Analytics Using Internet Content: A Review
|
|
Technical Report,
2016 |
|
|
[61]
|
Use of Information Technologies in Design and Production Activities of Instrument-Making Plants
|
|
2016 |
|
|
[62]
|
Multi-Objective Evolutionary Optimization of Sandwich Structures: An Evaluation by Elitist Non-dominated Sorting Evolution Strategy
|
|
American Journal of Engineering and Applied Sciences,
2015 |
|
|
[63]
|
Multi-objective evolutionary optimization of sandwich structures
|
|
2015 |
|
|
[64]
|
Decision-Making in Complicated Geometrical Problems
|
|
International Journal of Computer Applications,
2014 |
|
|
[65]
|
THE PROPER USAGE OF INTUITION IN THE LARGE-SCALE DECISION-MAKING PROBLEMS
|
|
2014 |
|
|
[66]
|
Engineering Design and their Applications
|
|
2013 |
|
|
[67]
|
Brain-computer optimization for solving complicated geometrical decisionmaking problems
|
|
Proceedings of PEME VI. Ph. D. Conference,
2013 |
|
|
[68]
|
Engineering Design and Decision-Making Models
|
|
2013 |
|
|
[69]
|
Decision-Making and Visualization
|
|
2013 |
|
|
[70]
|
Visual analytics for informed-decisions
|
|
2013 |
|
|
[71]
|
A multicriteria decision making environment for engineering design and production decision-making
|
|
International Journal of Computer Applications,
2013 |
|
|
[72]
|
On developing a decision-making tool for general applications to computer vision
|
|
International Journal of Computer Applications,
2013 |
|
|
[73]
|
Data mining for decision making in engineering optimal design
|
|
Journal of Artificial Intelligence & Data Mining,
2013 |
|
|
[74]
|
Optimal Engineering Design
|
|
NULL
2013 |
|
|
[75]
|
Decision-making software architecture; the visualization and data mining assisted approach
|
|
International Journal of Information and Computer Science,
2013 |
|
|
[76]
|
Visual analytics and informed decisions in health and life sciences
|
|
Paper in Proceedings of International CAE Conference, Verona, Italy,
2013 |
|
|
[77]
|
STRUCTURE OF BRAIN; RATIONALITY AND INTUITION
|
|
A Vaezipour - researchgate.net,
2013 |
|
|
[78]
|
Year of Publication: 2013
|
|
2013 |
|
|
[79]
|
Creativity in Decision-Making
|
|
2013 |
|
|
[80]
|
Decision-Making Models for Optimal Engineering Design and their Applications
|
|
Thesis,
2013 |
|
|
[81]
|
Creativity in Enterprise Decision-Making
|
|
2012 |
|
|
[82]
|
A MCDM software tool for automating the optimal design environments, with an application in shape optimization
|
|
Journal of Applied Mathematics (impact factor 0.15),
2012 |
|
|