Volume 56 (2024)
Issue 1
August 2024, Pages 1-171
Volume 55 (2023)
Volume 54 (2022)
Volume 53 (2021)
Volume 52 (2020)
Volume 51 (2019)
Volume 50 (2018)
Volume 49 (2017)
Volume 48 (2016)
Volume 47 (2016)
Volume 46 (2015)
Volume 45 (2014)
Volume 44 (2013)
Volume 43 (2009)
Volume 42 (2008)
Volume 41 (2007)
Number of Articles: 10
A Multilingual Sentiment Analysis Model in Tourism
Volume 56, Issue 1 , August 2024, Pages 1-14
Abstract
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 reviews. The tourism sector stands to gain valuable insights from sentiment analysis ... Read MoreReview of path planning models, environmental constraints, and application domains in drone delivery systems
Volume 56, Issue 1 , August 2024, Pages 15-33
Abstract
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 deterministic and heuristic approaches, as well as recent advancements in metaheuristics ... Read MoreDetecting and Reducing Error in Data by Tridiagonal Iterative Model
Volume 56, Issue 1 , August 2024, Pages 34-43
Abstract
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, orthogonalization and neural networks. The computational cost of existing methods are ... Read More4-TOTAL MEAN CORDIAL LABELING OF SOME TREES
Volume 56, Issue 1 , August 2024, Pages 44-54
Abstract
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 labeling of G if |tmf (i) − tmf (j)| ≤ 1, for all i,j ∈ {0, 1, 2,... ,k − 1},where ... Read MoreImproving Persian Handwritten Digit Recognition using Convolutional Neural Network
Volume 56, Issue 1 , August 2024, Pages 55-72
Abstract
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 are documented, they often depend on pre-trained networks with numerous parameters, ... Read MoreImproved Version of Gravitational Search Algorithm and its Application in Power Improvement of CMOS Ring Voltage Controlled Oscillator
Volume 56, Issue 1 , August 2024, Pages 73-82
Abstract
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 been quantified using the improved Gravitational Search Algorithm (GSA) in order ... Read MoreMetric and partition dimension of flower and pencil graphs
Volume 56, Issue 1 , August 2024, Pages 83-99
Abstract
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 pd(G), is the minimum number of sets in any resolving k-ordered partition for G. Here ... Read MoreA Recommender System Based on Markov Process Using Web Usage Mining Method and Neural Network
Volume 56, Issue 1 , August 2024, Pages 100-122
Abstract
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 of the proposed approach in this research is to create users’ profiles ... Read MoreProposing a novel attention-based deep neural network (ABCL-EHI) for EEG-based human biometric identification
Volume 56, Issue 1 , August 2024, Pages 123-145
Abstract
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. ABCL-EHI addresses this by combining a convolutional neural network (CNN) and ... Read MoreLoad-balanced Task Scheduling Algorithm using Walrus Optimizer for Cloud Computing
Volume 56, Issue 1 , August 2024, Pages 146-171