• Fatigue prediction of hybrid joints and perforated plates using neural network 

  Yousefnezhad Oskooi, Ali؛ Pourmohammad, vahid؛ Samadzamini, Karim؛ Esmaeili Goldarag, Firooz (Ahar Branch,Islamic Azad University, Ahar,Iran, 2023-03-01)

  Hybrid connections (bolts, glue) and perforated plates are one of the most important topics in various industries, including aerospace. This type of process occurs due to the growth of small cracks in the metal structure ...

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• Vector control of induction motor using moving sliding mode fuzzy controller 

  ebrahimi boukani, saman (Ahar Branch,Islamic Azad University, Ahar,Iran, 2023-03-01)

  A sliding motion can be divided into two phases: reaching phase and sliding phase. One of the features of sliding mode control is that it is robust to parameter uncertainties and external disturbances in the sliding phase. ...

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• Calculation of Reflection Loss in Fundamental TE Mode Versus Angle of Tilted End Facet of Superluminescent Light Emitting Diodes 

  Salman Yengejeh, Mohammad Hosein؛ moslehi milani, nasser (Ahar Branch,Islamic Azad University, Ahar,Iran, 2023-03-01)

  In this paper we study the acquisition of fundamental TE mode reflection in rectangular cavities from a tilted face (end mirror) of superluminescent light emitting diodes (SLD). When its width is 3 micrometers and the ...

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• Diagnosis of Covid-19 using optimized convolutional neural network 

  fatehi, mohammad؛ taghizadeh, mehdi؛ moradi, mohammad؛ shojaat, gholamhosein (Ahar Branch,Islamic Azad University, Ahar,Iran, 2023-03-01)

  According to the report of the World Health Organization, corona disease is the most dangerous and contagious disease in the world. Currently, the most common method used to diagnose corona disease is the polymer chain ...

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• Noise elimination in automatic detection of epileptic seizures by wavelet transform using feature selection algorithm 

  asghari govar, akram (Ahar Branch,Islamic Azad University, Ahar,Iran, 2023-03-01)

  One of the most important symptoms of epilepsy is convulsions, whose detailed analysis is performed by electroencephalography (EEG) signal. Electroencephalogram, as a clinical tool to illustrate the electrical activities ...

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• Inefficiency of legal laws in applying to damages caused by artificial intelligence 

  Lame, Ehsan؛ Roozbahani, Zohre؛ rouzbahani, ahmad؛ eslamitabar, shahriar (Ahar Branch,Islamic Azad University, Ahar,Iran, 2022-09-01)

  The emergence and increasing progress of artificial intelligence has faced the legal science with unsolvable challenges. Artificial intelligence systems, like other new technologies, have faced serious challenges to the ...

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• . Detection of healthy and unhealthy ECG signal using optimized convolutional neural network 

  fatehi, mohammad؛ khajooee, mehdi؛ adlband, nahid؛ moradi, mohammad (Ahar Branch,Islamic Azad University, Ahar,Iran, 2022-12-01)

  According to the information of the World Health Organization, today heart diseases are considered the most important threat to humans and are the first cause of death in the world. According to the latest global statistics, ...

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• Machine Learning-based Industrial LAN Networks Using Honeypots 

  Abbasgholi, Pashaei؛ zolfy, mina (Ahar Branch,Islamic Azad University, Ahar,Iran, 2022-12-01)

  The emergence of industrial Cyberinfrastructures, the development of information communication technology in industrial fields, and the remote accessibility of automated Industrial Control Systems (ICS) lead to various ...

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• An Extended Louvain Method for Community Detection in Attributed Social Networks 

  Sadri, Yasser؛ Taghavi Afshord, Saeid؛ lotfi, shahriar؛ Majidnezhad, Vahid (Ahar Branch,Islamic Azad University, Ahar,Iran, 2022-12-01)

  Community detection is a significant way to analyze complex networks. Classical methods usually deal only with the network's structure and ignore content features. During the last decade, most solutions for community ...

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• A Combinatory Feature Selection Method using Gray Wolf Optimization and Crow Search Algorithms for Intrusion Detection Systems 

  Asghari, Kayvan (Ahar Branch,Islamic Azad University, Ahar,Iran, 2022-12-01)

  The crow search algorithm and the grey wolf optimizer are two favored optimization approaches that have attracted extensive attention from researchers. The swarm-based lifestyle of crows in nature is the inspiration source ...

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• Diagnosing diabetic retinopathy using retinal blood vessel examination based on convolution neural network 

  fatehi, mohammad؛ taghizadeh, mehdi؛ moradi, mohammad؛ ravanbakhsh, pedram (Ahar Branch,Islamic Azad University, Ahar,Iran, 2022-09-01)

  Retinal blood vessels include arteries and veins and are usually next to each other. Blood vessels are used to classify the severity of the disease and are also used for guidance during surgery, as retinopathy is one of ...

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• Design of fuzzy sliding mode controller with moving sliding surface for robot manipulator 

  ebrahimi boukani, saman (Ahar Branch,Islamic Azad University, Ahar,Iran, 2022-09-01)

  In sliding mode control, the sliding movement can be divided into two phases: reaching phase and sliding phase. In each phase, we face a series of problems. In the sliding phase, switching leads to the occurrence of ...

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• Using Cluster and Feature Weighted FCM for reducing ANFIS Rules 

  Abdollahizad, Solmaz (Ahar Branch,Islamic Azad University, Ahar,Iran, 2022-09-01)

  Fuzzy c-means (FCM) is assumed that all the features are of equal importance. In real applications, however, the importance of the features is different and there exist some features that are more important than the others. ...

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• A novel Asymmetric cascade multilevel inverter with reduced Components and the Ability of using Intelligent Control Methods 

  naderi, roya (Ahar Branch,Islamic Azad University, Ahar,Iran, 2022-09-01)

  In this brief presents, first a basic structure of 15-level single-phase inverter is presented. The proposed topology works asymmetrically and is capable of producing positive and negative voltage levels at the output. ...

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• Comparison of information transfer delay in standard Apriori algorithm and improved Apriori algorithm 

  Bavarsad Salehpour, Hooman؛ Seyed Javadi, Seyed Hamid؛ Asghari, Parvaneh؛ Shiri Ahmad Abadi, Mohammad Ebrahim (Ahar Branch,Islamic Azad University, Ahar,Iran, 2022-09-01)

  One of the most famous algorithms in the field of focused exploration of data mining correlation rules is the Apriori algorithm and its many developed versions. But what can be raised as a major challenge in this field is ...

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• Designing an adjustable optical multi-channel filter in a triple photonic structure based on magnetized materials and uniaxial metamaterials 

  Kazempour, Behnam (Ahar Branch,Islamic Azad University, Ahar,Iran, 2022-06-01)

  In this article, the adjustability of the multi-channel optical filter including magnetized materials and uniaxial anisotropic metamaterials in the three-dimensional one-dimensional photonic crystal structure in the GHz ...

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• Towards Effectiveness of Math Educational Applications: FaraAzmoon 

  Karimi Fardinpour, Younes (Ahar Branch,Islamic Azad University, Ahar,Iran, 2022-06-01)

  Although the research on the use of special applications for learning mathematics has increased in the last decade, the number of researches on the effectiveness of these programs from the students' point of view is ...

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• Multi-criteria decision-making based approach for selecting optimum framework in enterprise resource planning 

  jalali, Amir hossein؛ Moradi, Mohammad Bagher؛ Najjar Karimi, Siamak (Ahar Branch,Islamic Azad University, Ahar,Iran, 2022-06-01)

  Human resource management is a comprehensive system that tries to integrate all the tasks and departments in an organization using a single computer system that can meet the special needs of these departments. They help ...

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• A method for determining SF6 circuit breakers failure rate due to transient recovery voltage 

  Ghanizadeh, Reza؛ Azadrou, Allahverdi (Ahar Branch,Islamic Azad University, Ahar,Iran, 2022-06-01)

  In this paper, a method is presented for determining SF6 Circuit Breakers (CBs) failure rate due to Transient Recovery Voltage (TRV) at the instant of interrupting short-circuit current. For this purpose, first, discharging ...

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• Detection Anomaly of Network Datasets with Honeypots at Industrial Control System 

  pashaei, Abbasgholi؛ akbari, Mohammad Esmaeil؛ zolfy, mina؛ charmin, Asghar (Ahar Branch,Islamic Azad University, Ahar,Iran, 2022-06-01)

  :Thedevelopment of ICS 4.0 industry-specific cybersecurity mechanisms can reduce the vulnerability of systems to fire, explosion, human accidents, environmentaldamage, and financial loss. Honeypots are computer systems ...

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