Computational Algorithms and Numerical Dimensions

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Computational Algorithms and Numerical Dimensions (CAND) is an international scholarly open access, interdisciplinary, fully refereed, and quarterly free of charge journal as a non-commercial publication. The journal is intended to be accessible to a broad spectrum of researchers in numerical methods throughout science and engineering, and publishes original, review, case studies, and short communication contributions to all aspects of numerical and computational modeling including numerical analysis, numerical linear algebra, numerical engineering, differential/integral equations (ordinary, partial, fractional), scientific computing, computational mathematics, approximation and analytical methods, splitting and parallel computing, interpolation, orthogonal polynomials, computational complexity, variational inequalities, control, machine learning, and related areas of engineering and scientific applications.

This journal publishes fully open access journals, which means that all articles are available on the internet to all users immediately upon publication.

Access to articles from this journal is free.

Original Article
Enhancing water pump failure prediction using machine learning: a focus on less-explored variables

Reza Rasinojehdehi; Goran Cirovic

Volume 2, Issue 3 , September 2023, Pages 124-135

https://doi.org/10.22105/cand.2024.437591.1088

Abstract
  In recent years, there has been a surge in research exploring the potential of Machine Learning (ML) for predicting water pump failures. While some studies have focused on supervised approaches, others have delved into unsupervised methods. However, the challenge lies in identifying the key variables ...  Read More
Original Article
A proposed model for the assessment of supply chain management using DEA and knowledge management

Nasim Ekram Nosratian; Mohammad Taghi Taghavi Fard

Volume 2, Issue 3 , September 2023, Pages 136-147

https://doi.org/10.22105/cand.2023.191008

Abstract
  Supply Chain Management (SCM) is an integrated system of planning and control of materials and information, including suppliers, manufacturers, distributors, retailers, and customers. Chain performance measurement is an important issue in SCM. Also, given that the information plays a key role in improving ...  Read More
Original Article
Urban-oriented studies and identification of target areas and neighborhoods in need of urban regeneration: case study in Abbas-Abad city

Hadi Faghihmaleki; Akbar Deilampour

Volume 2, Issue 3 , September 2023, Pages 148-162

https://doi.org/10.22105/cand.2024.433650.1085

Abstract
  A wide range of cities in the country and especially big cities are facing complex issues and problems in the areas of urban poverty, lack of safety, lack of infrastructure and services, structural instability of buildings and identity crisis. So far, many efforts have been made to change the existing ...  Read More
Original Article
Enhanced a novel approach for smoothing data in modelling and decision-making problems under fuzziness

Hamiden Abd El- Wahed Khalifa; Seyyed Ahmad Edalatpanah; Darko Bozanic

Volume 2, Issue 3 , September 2023, Pages 163-172

https://doi.org/10.22105/cand.2023.192505

Abstract
  Smoothing (filtering) of data is a major problem in engineering and science. In this paper, the smoothing of data arising in modelling and decision-making problems is considered. Firstly, the conventional smoothing and filtering problem and its extension to a fuzzy situation are introduced.  Read More
Original Article
Unveiling patterns: a data-driven exploration of overseas residents' views on Qingdao's tourism development

Sahand Abdinematabad; Roghaye Ebadikhah; Mehdi Pourabdollah; Reza Rasinojehdehi

Volume 2, Issue 3 , September 2023, Pages 173-185

https://doi.org/10.22105/cand.2023.432811.1082

Abstract
  This study embarks on a data-driven exploration to understand the perceptions of overseas residents regarding the development of tourism in Qingdao, a significant coastal city in China. Despite the pivotal role of tourism in regional economic growth, the views of foreign residents, who can act as cultural ...  Read More
Original Article
The pharmacognostic profile and pharmacological importance of cordia myxa-a review

Asif yousuf Wani; Rubeena Khaliq; Nazia Kousar; Sarika Pundir

Volume 2, Issue 3 , September 2023, Pages 186-194

https://doi.org/10.22105/cand.2024.437572.1086

Abstract
  This review provides an overview of the medicinal plant Cordia myxa (Boraginaceae), its pharmacognostic profile, traditional uses, and various medicinal importance in various aspects of medicinal science and recent developments in novel drug delivery. Recent trend of people shifting to natural products ...  Read More
Speech Recognition System Based on Machine Learning in Persian Language

Shahed Mohammadi; Niloufar Hemati; Neda Mohammadi

Volume 1, Issue 2 , June 2022, , Pages 72-83

https://doi.org/10.22105/cand.2022.146462

Abstract
  In today's world, where speech recognition has become an integral part of our daily lives, the need for systems equipped with this technology has increased dramatically in the past few years. This research aims to locate the two selected Persian words in any given audio file. For this purpose, two standard ...  Read More
An Efficient Collocation Method for the Numerical Solutions of the Pantograph-Type Volterra Hammerstein Integral Equations and its Convergence Analysis

Hashem Saberi Najafi; Sayed Arsalan Sajjadi; Hossein Aminikhah

Volume 1, Issue 2 , June 2022, , Pages 61-71

https://doi.org/10.22105/cand.2022.153956

Abstract
  In this work, we consider a collocation method for solving the pantograph-type Volterra Hammerstein integral equations based on the first kind Chebyshev polynomials. We use the Lagrange interpolating polynomial to approximate the solution. The convergence of the presented method has been analyzed by ...  Read More
Visualization Method in Mathematics Classes

Laxmi Rathour; Dragan Obradovic; Shiv Kant Tiwari; Lakshmi Narayan Mishra; Vishnu Narayan Mishra

Volume 1, Issue 4 , December 2022, , Pages 141-146

https://doi.org/10.22105/cand.2022.159701

Abstract
  Developing students’ educational abilities has always been one of the most urgent. The more fully a student's potential is realized, the more success a person will be able to achieve in life and career. One of the effective technologies for activating learning is the method of visualizing educational ...  Read More
Optimization of Fuzzy Zero- Base Budgeting

Salwa Abdou El-Morsy

Volume 1, Issue 4 , December 2022, , Pages 147-154

https://doi.org/10.22105/cand.2022.155548

Abstract
  Zero-Base Budgeting (ZBB) is a very well-known method for the selection and management of budgets and is widely used by companies and government agencies. In this paper, a new method for modelling ZBB in fuzzy environment is described. Triangular fuzzy numbers are used for describing the imprecise budget ...  Read More
The modification of the generalized gauss-seidel iteration techniques for absolute value equations

Rashid Ali; Ashfaq Ahmad; Ijaz Ahmad; Asad Ali

Volume 1, Issue 4 , December 2022, , Pages 130-136

https://doi.org/10.22105/cand.2022.157605

Abstract
  This paper proposes two modified generalized Gauss-Seidel iteration techniques to determine the Absolute Value Equations (AVEs). Convergence of the new techniques is established under some appropriate conditions lastly; several numerical examples verify the significance of the techniques.   Read More
Original Article
The of Role Sensors in Smart Agriculture

Seyyed Ali Nourkhah; Goran Cirovic; Seyyed Ahmad Edalatpanah

Articles in Press, Accepted Manuscript, Available Online from 07 February 2023

https://doi.org/10.22105/cand.2023.166515

Abstract
  Smart agriculture, also known as precision agriculture, allows farmers to maximize yields using minimal resources such as water, fertilizer, and seeds. By deploying sensors and mapping fields, farmers can begin to understand their crops at a micro scale, conserve resources, and reduce impacts on the ...  Read More
Original Article
Software Based Agricultural Monitoring with the Integration of sensor Technology

Seyyed Esmaeil Najafi; Dragan Marinkovic; Nenad Komazec

Articles in Press, Accepted Manuscript, Available Online from 07 February 2023

https://doi.org/10.22105/cand.2023.166516

Abstract
  This study investigates how wireless sensor network (WSN) applications in agriculture arediscussed in the current academic literature.The Wireless Sensors Network (WSN) is nowadays widely used to build decision support systems to overcome many problems in the real-world.Using the basic principles of ...  Read More
Original Article
Water Quality Monitoring through IoT enabled Tool

Javad Pourqasem; Duško Tešić; Eisa Abdolmaleki

Articles in Press, Accepted Manuscript, Available Online from 07 February 2023

https://doi.org/10.22105/cand.2023.166517

Abstract
  Smart water for the quality monitoring is to be gaining in importance with a advancements in communication technology. The Web of Things (IoT) gets the associations among different gadgets with the capacity to trade and getting information. IoT additionally stretches out its ability to ecological issues ...  Read More
Original Article
IoT Based River Water Quality Monitoring

Soheil Fakheri; Nenad Komazec; Hashem Saberi Najafi

Articles in Press, Accepted Manuscript, Available Online from 07 February 2023

https://doi.org/10.22105/cand.2023.166518

Abstract
  In this paper named IOT based river water quality monitoring gives the outcome of quality river of water by the advantage of various advanced techniques Internet of Things, Wireless Sensor Network. As part of this we have made the things to collect the data and transfer the data to the software that ...  Read More
Original Article
Characterizations of Physico-Chemical Properties for Non-kekulean benzenoid hydrocarbon Using M-polynomial

Muhammad Kamran; Aamir Hussain Khan; Zeeshan Anwar; Aiman Ishtiaq; Anns Uzair; Shanzay Noor Khan; Sawaira Saeed; Sajid Ali; Saara Fatima; Ajwa Faisal; Baqir Hussain; Misbah Rasheed; Saba Mehmood

Articles in Press, Accepted Manuscript, Available Online from 07 February 2024

https://doi.org/10.22105/cand.2024.442115.1089

Abstract
  In the last few decades, nanomaterials have found widespread application in a variety of industries, including electronics, building, food processing, pharmaceuticals, cosmetics, and aviation. These nanoparticles could enhance medical therapy, diagnostics, and preventive methods. These days, drug delivery ...  Read More
Original Article
A Novel Computational Analysis of Boundary Driven Two Dimensional Heat Flow with the Internal Heat Generation

Muhammad Abid; Madiha Bibi; Nasir Yasin; Muhammad Shahid

Articles in Press, Accepted Manuscript, Available Online from 13 February 2024

https://doi.org/10.22105/cand.2024.443017.1090

Abstract
  Accurate numerical solution of parabolic and elliptic partial differential equations governing two-dimensional heat transfer is critical for engineering simulations but computationally challenging.This work employs key numerical techniques finite differences, conjugate gradients, and Crank-Nicolson ...  Read More
Original Article
Numerical Collocation Technique for Solving Modified Equal Width Wave Equation

Aqib Zafar; Shyam Sundra Santra; Muhammad Nasir

Articles in Press, Accepted Manuscript, Available Online from 17 February 2024

https://doi.org/10.22105/cand.2024.443905.1091

Abstract
  In this article, Cubic Trigonometric B-Spline Collocation technique is used to solve Modified Equal Width (MEW) Wave equation with application. The proposed scheme of major equation is tested by three ways: Single Soliton Wave, train of Solitary Waves and final birth solution. The efficiency and validity ...  Read More
Original Article
Covid-19 Pandemic Data Analysis Using Tensor Methods

Dipak Dulal; Ramin Goudarzi Karim; Carmeliza Navasca

Articles in Press, Accepted Manuscript, Available Online from 26 March 2024

https://doi.org/10.22105/cand.2024.450017.1092

Abstract
  In this paper, we use tensor models to analyze the Covid-19 pandemic data. First, we use tensor models, canonical polyadic, and higher-order Tucker decompositions to extract patterns over multiple modes. Second, we implement a tensor completion algorithm using canonical polyadic tensor decomposition ...  Read More
Original Article
MATHEMATICAL MODELING AND TREATING TUMORS IN A FUZZY ENVIRONMENT

Aadil Rashid Sheergojri; Pervaiz Iqbal

Articles in Press, Accepted Manuscript, Available Online from 03 April 2024

https://doi.org/10.22105/cand.2024.450759.1093

Abstract
  To better understand how things work in biology, you can use mathematics to figure things out. Cancer modelling is a complex biological process that is highly unpredictable, which fuzzy models in this study have achieved. Biomolecular components of malignant disorders and their analysis are frequently ...  Read More
Computational Algorithms and Numerical Dimensions

Publisher:
REA Press

Director-in-Chief:
S. A. Edalatpanah

Editor-in-Chief:
Apostolos Hadjidimos

Editorial Board:
Apostolos Hadjidimos Martin Bohner Ji-Huan He Palle Jorgensen Ljiljana Cvetković Muhammad Akram Khalide Jbilou Yongzhong Song István Faragó Pasqua D'Ambra Hossein Aminikhah Svetozar Margenov Jun Ye Saman Babaie–Kafaki Denis N. Sidorov Praveen Agarwal Rostam Karim Saeed Julio Daniel Rossi J.N. Reddy

Frequency: Quarterly

Print ISSN: 2980-7646

Online ISSN: 2980-9320

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