• Metropolis-Hasting Idea for Approximating Matrix Inverse 

  Bagherpour, Negin؛ Mahdavi Amiri, Nezam (University of Tehran, 2024-12-01)

  Solving a linear system of equations is needed in many different applications and there exist many different techniques to solve such a system with no need to compute inverse matrix, as a costly and not stable computation. ...

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• Transforming Education with AI: The Development of a Personalized Learning Algorithm for Individual Learning Styles 

  Jafari, Delara؛ Shaterzadeh-Yazdi, Zahra (University of Tehran, 2024-12-01)

  The evolving educational landscape requires innovative teaching methods to enhance learning and accommodate diverse styles. Technologies like artificial intelligence (AI), machine learning (ML), and the Internet of Things ...

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• NEW FAMILIES OF PAIR DIFFERENCE CORDIAL GRAPHS 

  Ponraj, R؛ GAYATHRI, A (University of Tehran, 2024-12-01)

  In this paper we investigate the pair difference cordial labelingbehaviour of diamond ladder graph,lattitude ladder, octopus graph,pagodagraph, planter graph and semi jahangir graph. Prime labeling behaviour of plantergraph, ...

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• The Design and Implementation of a Location-based System for Music Recommendation on the Web 

  Zare Zardiny, Ali؛ Akhavan Rad, MohammadAli (University of Tehran, 2024-12-01)

  Music serves as a universal medium for expressing emotions and entertainment. With advancements in technology and artificial intelligence, online systems for sharing and recommending music have grown, but a gap remains in ...

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• ACCELERATION OF NEAR FIELD COMPUTATION IN MLFMA ON A SINGLE GPU BY GENERATING REDUNDANCY IN DATA 

  Sadeghi, Morteza؛ Torabi, Abdolreza (University of Tehran, 2024-12-01)

  Improving efficiency of multi-level fast multi-pole algorithm (MLFMA) on distributed and parallel systems has been vastly studied, specially for GPUs. Unlike the far-field computation, acceleration of near-field computation ...

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• DataBay: A Unified Platform for Automating Data Warehouse Management, Real-Time Data Processing, and Ensuring Data Quality and Monitoring 

  Ghadimi, Mostafa؛ Baghayi, Niyusha؛ Shateri, Alireza (University of Tehran, 2024-12-01)

  As organizations increasingly depend on large-scale data for strategic decision-making, managing data warehouses has become a complex and resource-intensive challenge. This paper introduces DataBay, a unified platform ...

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• A New Algorithm for Computing the Frobenius Number 

  Taheri, Abbas؛ Alikhani, Saeid (University of Tehran, 2024-12-01)

  A number $\alpha$ has a representation with respect to the numbers $\alpha_1,...,\alpha_n$, if there exist the non-negativeintegers $\lambda_1,... ,\lambda_n$ such that $\alpha=\lambda_1\alpha_1+...+\lambda_n \alpha_n$. ...

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• Real-Time Age, Gender, and Emotion Detection Using a Guided Module-Based Convolutional Neural Network for Facial Expression Analysis 

  Hassan Nataj Solhdar, Mohammad؛ Erfani majd, Naser؛ keramatzadeh, Alireza (University of Tehran, 2024-12-01)

  This study presents an innovative approach to real-time facial expression analysis using a guided module-based convolutional neural network. The proposed methodology simultaneously detects emotions, age, and gender with ...

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• Proposing a novel deep method for detection and localization of anatomical landmarks from the endoscopic video frames 

  Tajeddin, Golnaz؛ Ayyoubi Nezhad, Shima؛ Khatibi, Toktam؛ Sohrabi, Masoudreza (University of Tehran, 2024-12-01)

  Early detection of gastrointestinal cancer remains a major challenge, particularly in identifying cancerous regions at their initial stages. Anatomical landmarks are crucial for guiding physicians during endoscopic screenings, ...

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• A lightweight anonymity privacy preserving Data Fabric leveraging attribute-based Encryption 

  Fathenojavan, Sadra؛ Moeini, Ali؛ Kamandi, Ali (University of Tehran, 2024-12-01)

  A data fabric architecture ensures that different types of data can be quickly and easily integrated, accessed, transformed, and managed. All users involved with data fabric technology, directly or indirectly, have access ...

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• Load-balanced Task Scheduling Algorithm using Walrus Optimizer for Cloud Computing 

  Jalali Khalil Abadi, Zahra؛ Mansouri, Najme؛ javidi, Mohammad؛ Mohammad hasani zade, Behnam (University of Tehran, 2024-08-01)

  Cloud computing allows users to access software and hardware resources over the network. To achieve cost-effective execution, task scheduling is a major problem. Scheduling tasks is intended to optimize one or more criteria ...

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• Proposing a novel attention-based deep neural network (ABCL-EHI) for EEG-based human biometric identification 

  Khatibi, Toktam؛ Zarean, Javad (University of Tehran, 2024-08-01)

  The paper introduces a new method called ABCL-EHI for human identification using electroencephalographic (EEG) signals. EEG signals have unique information among individuals, but current systems lack accuracy and usability. ...

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• A Recommender System Based on Markov Process Using Web Usage Mining Method and Neural Network 

  Shafaei, Hadis؛ Razavi, Rouzbeh (University of Tehran, 2024-08-01)

  Web recommender systems provide the most appropriate recommendations by analyzing user's navigation behavior. This recommender system can be considered in different cases, such as e-commerce, search engines, etc. The aim ...

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• Metric and partition dimension of flower and pencil graphs 

  Wijaya, Kristiana؛ Abshari, Ulil؛ Diniyah, Via؛ Halikin, Ikhsanul؛ Kusbudiono, Kusbudiono (University of Tehran, 2024-08-01)

  This paper is about metric and partition dimension of a flower and a pencilgraph. A metric dimension of G, denoted by dim(G), is the minimum cardinality of anyresolving set of G. A partition dimension of G, denoted by ...

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• Improved Version of Gravitational Search Algorithm and its Application in Power Improvement of CMOS Ring Voltage Controlled Oscillator 

  Ebrahimi, Sepehr؛ Hemmati, Mohammad Jafar (University of Tehran, 2024-08-01)

  In this paper, a three-stage CMOS inverter based ring voltage controlled oscillator (VCO) is designed. Low power consumption is an important feature of the designed VCO. The variables used in the designed oscillator have ...

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• Improving Persian Handwritten Digit Recognition using Convolutional Neural Network 

  Noori, Hossein (University of Tehran, 2024-08-01)

  Persian digit recognition plays a crucial role in computer vision and pattern recognition. Existing algorithms fall into two categories: traditional methods and deep learning approaches. While many deep learning techniques ...

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• 4-TOTAL MEAN CORDIAL LABELING OF SOME TREES 

  Ponraj, R؛ SUBBULAKSHMI, S (University of Tehran, 2024-08-01)

  Let G be a graph. Let f : V (G) → {0, 1, 2,... ,k − 1}be a function where k ∈ N and k > 1. For each edge uv, assign thelabel f (uv) = lf(u)+f(v)2m. f is called a k-total mean cordial label ing of G if |tmf (i) − tmf (j)| ...

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• Detecting and Reducing Error in Data by Tridiagonal Iterative Model 

  Bagherpour, Negin؛ Mohammadiyan, Abbas (University of Tehran, 2024-08-01)

  Noise is a part of data whether the data is from measurement or experiment. There are a few techniques for fault detection and reduction to improve the data quality in recent years some of which are based on wavelet, ...

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• Review of path planning models, environmental constraints, and application domains in drone delivery systems 

  Taheri, Azita؛ Ghodousian, Amin؛ Abedian, Rooholah (University of Tehran, 2024-08-01)

  This review paper comprehensively examines drone delivery systems, focusing on path planning models, environmental constraints, and application domains. We analyze theoretical frameworks for path planning, including ...

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• A Multilingual Sentiment Analysis Model in Tourism 

  shayegan, mohammad javad؛ dastan, yusef (University of Tehran, 2024-08-01)

  In recent years, scholars have dedicated significant attention to the field of sentiment analysis. A substantial volume of feedback shared by tourists on social networking platforms, notably on Tripadvisor, manifests as ...

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