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Academic Profile
Shavan Kamal Askar
Professor
Erbil Technical Engineering College
Department of Information Systems Engineering
E-mail
[email protected]
General Specialization
Computer Engineering
Specific Specialization
Computer Network Engineering
Curriculum Vitae
Address
Bioghraphy
Course Taught
Education
Portfolio
Researches & Books
Acknowledgement
Supervising Students
Memberships
Grants
CAD
Seminars
Workshops
Conferences
Trainings
Research Evaluations
Committess
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Researches and Books
Researches
Research Title
Status
Files
An embedded machine learning strategy for analyzing interfacial characteristics in impact welding of dissimilar alloys
Published
Guided analysis of fracture toughness and hydrogen-induced embrittlement crack growth rate in quenched-and-tempered steels using machine learning
Published
Learning model predictive controller for wheeled mobile robot with less time delay
Published
Dynamics of induced optical torque via optical vortex light
Published
FEM-supported machine learning for residual stress and cutting force analysis in micro end milling of aluminum alloys
Published
Examining the Use of Scott’s Formula and Link Expiration Time Metric for Vehicular Clustering
Published
Flag-Based Vehicular Clustering Scheme for Vehicular Ad-Hoc Networks
Published
Spatially varying optical characteristics in quantum-dot molecules through interdot tunneling
Published
A Bayesian Neural Network-based approach for multistate reliability assessment of solder joints exposed to various failure mechanisms
Published
Efficient two-dimensional Fraunhofer diffraction pattern via electron spin coherence
Published
Synchronous Federated Learning based Multi Unmanned Aerial Vehicles for Secure Applications
Published
An Artificial Intelligence Approach to Predict Infants’ Health Status at Birth
Published
An embedded machine learning strategy for analyzing interfacial characteristics in impact welding of dissimilar alloys
Published
Enhancing dye-sensitized solar cell performance by employing an innovative WSe2:Zn counter electrode for improved electrocatalytic activity
Published
A micromechanical nested machine learning model for characterizing materials behaviors of bulk metallic glasses
Published
Probing the impact of process variables in laser-welded aluminum alloys: A machine learning study
Published
Lightweight improved yolov5 model for cucumber leaf disease and pest detection based on deep learning
Published
Performance assessment of hybrid PEMFC-solar energy integrated hybrid multi-generation system for energy production sport buildings
Published
Scheduling of Multiple Energy Consumption in The Smart Buildings with Peak Demand Management
Published
Tribological Properties Assessment of Metallic Glasses Through a Genetic Algorithm-Optimized Machine Learning Model
Published
Efficient two-dimensional Fraunhofer diffraction pattern via electron spin coherence
Published
Thermal and environmental optimization of an intercooled gas turbine toward a sustainable environment
Published
Synchronous Federated Learning based Multi Unmanned Aerial Vehicles for Secure Applications
Published
Novel ZnCo2O4/WO3 nanocomposite as the counter electrode for dye-sensitized solar cells (DSSCs): study of electrocatalytic activity and charge transfer properties
Published
Assessment of Nano-Imprinting Process in CuZr Amorphous Films Through Combination of Machine Learning and Molecular Dynamics
Published
Deep Forest Based Internet of Medical Things System for Diagnosis of Heart Disease
Published
A data-intelligent scheme toward smart rescue and Micro-services
Published
A Novel Security Survival Model for Quantum Key Distribution Networks Enabled by Software-Defined Networking
Published
Optical bistability and multistability via electron injection rate in an imperfect cavity
Published
Recent advances in nanomaterials-based electrochemical and optical sensing approaches for detection of food dyes in food samples: A comprehensive overview
Published
Flood Susceptibility Mapping Using Remote Sensing and Integration of Decision Table Classifier and Metaheuristic Algorithms
Published
Plant Disease Diagnosing Based on Deep Learning Techniques
Published
An Intelligent System for Cucumber Leaf Disease Diagnosis Based on the Tuned Convolutional Neural Network Algorithm
Published
Offloading Mechanisms Based on Reinforcement Learning and Deep Learning Algorithms in the Fog Computing Environment
Published
Books
Book Title
Type
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Docs
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