Wali Khan Mashwani
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View article: Computer vision based efficient segmentation and classification of multi brain tumor using computed tomography images
Computer vision based efficient segmentation and classification of multi brain tumor using computed tomography images Open
View article: Correction: An integrated group decision-making method under q-rung orthopair fuzzy 2-tuple linguistic context with partial weight information
Correction: An integrated group decision-making method under q-rung orthopair fuzzy 2-tuple linguistic context with partial weight information Open
[This corrects the article DOI: 10.1371/journal.pone.0297462.].
View article: An integrated group decision-making method under q-rung orthopair fuzzy 2-tuple linguistic context with partial weight information
An integrated group decision-making method under q-rung orthopair fuzzy 2-tuple linguistic context with partial weight information Open
Considering the advantages of q-rung orthopair fuzzy 2-tuple linguistic set (q-RFLS), which includes both linguistic and numeric data to describe evaluations, this article aims to design a new decision-making methodology by integrating Vls…
View article: q-Rung orthopair fuzzy 2-tuple linguistic WASPAS algorithm for patients’ prioritization based on prioritized Maclaurin symmetric mean aggregation operators
q-Rung orthopair fuzzy 2-tuple linguistic WASPAS algorithm for patients’ prioritization based on prioritized Maclaurin symmetric mean aggregation operators Open
Due to the fuzziness of the medical field, q -rung orthopair fuzzy 2-tuple linguistic ( q -RF2L) set is the privileged way to aid medical professionals in conveying their assessments in the patient prioritization problem. The theme of the …
View article: An adaptable and personalized framework for top-N course recommendations in online learning
An adaptable and personalized framework for top-N course recommendations in online learning Open
In recent years, the proliferation of Massive Open Online Courses (MOOC) platforms on a global scale has been remarkable. Learners can now meet their learning demands with the help of MOOC. However, learners might not understand the course…
View article: Boosting constrained teaching–learning based optimization algorithm through group discussion
Boosting constrained teaching–learning based optimization algorithm through group discussion Open
Teaching–learning based optimization algorithm (TLBO) is an efficient population-based nature-inspired meta-heuristic designed initially to solve unconstrained optimization problems. TLBO being a swam intelligence based algorithm is renown…
View article: Multi-Criteria Decision Making Model For Hotel Selection Problem Under Complex Dual Hesitant Fuzzy Information
Multi-Criteria Decision Making Model For Hotel Selection Problem Under Complex Dual Hesitant Fuzzy Information Open
The notion of the “complex dual hesitant fuzzy set (CDHFS)” is the combination of the “dual hesitant fuzzy set (DHFS)” and the “complex fuzzy set (CFS).” It is characterized by two degrees, namely the membership and nonmembership, in the f…
View article: Sufficiency criteria for a class of convex functions connected with tangent function
Sufficiency criteria for a class of convex functions connected with tangent function Open
The research here was motivated by a number of recent studies on Hankel inequalities and sharp bounds. In this article, we define a new subclass of holomorphic convex functions that are related to tangent functions. We then derive geometri…
View article: Some properties of a class of holomorphic functions associated with tangent function
Some properties of a class of holomorphic functions associated with tangent function Open
In this study, we define new class of holomorphic functions associated with tangent function. Furthermore, we examine the differential subordination implementation results related to Janowski and tangent functions. Also, we investigate som…
View article: A Supervised Machine Learning Algorithms: Applications, Challenges, and Recommendations
A Supervised Machine Learning Algorithms: Applications, Challenges, and Recommendations Open
Machine Learning (ML) is an advanced technology that empowers systems to acquire knowledge autonomously, eliminating the need for explicit programming. The fundamental objective of the machine learning paradigm is to equip computers with t…
View article: Several Zagreb indices of power graphs of finite non-abelian groups
Several Zagreb indices of power graphs of finite non-abelian groups Open
View article: Feature selection for high dimensional microarray gene expression data via weighted signal to noise ratio
Feature selection for high dimensional microarray gene expression data via weighted signal to noise ratio Open
Feature selection in high dimensional gene expression datasets not only reduces the dimension of the data, but also the execution time and computational cost of the underlying classifier. The current study introduces a novel feature select…
View article: Climate change due to increasing concentration of carbon dioxide and its impacts on environment in 21st century; a mini review
Climate change due to increasing concentration of carbon dioxide and its impacts on environment in 21st century; a mini review Open
The good quality of life, growth, nutrition and development of all living beings directly or indirectly depends upon natural surroundings. Urbanization, agriculture, industrial work and greenhouse effects are the leading causes of the clim…
View article: Optimal model selection for k-nearest neighbours ensemble via sub-bagging and sub-sampling with feature weighting
Optimal model selection for k-nearest neighbours ensemble via sub-bagging and sub-sampling with feature weighting Open
This paper proposes two novel approaches based on feature weighting and model selection for building more accurate kNN ensembles. The first approach identifies the nearest observations using a feature weighting scheme concerning the respon…
View article: Author Correction: q-rung orthopair fuzzy 2-tuple linguistic clustering algorithm and its applications to clustering analysis
Author Correction: q-rung orthopair fuzzy 2-tuple linguistic clustering algorithm and its applications to clustering analysis Open
View article: q-rung orthopair fuzzy 2-tuple linguistic clustering algorithm and its applications to clustering analysis
q-rung orthopair fuzzy 2-tuple linguistic clustering algorithm and its applications to clustering analysis Open
q-ROPFLS, including numeric and linguistic data, has a wide range of applications in handling uncertain information. This article aims to investigate q-ROPFL correlation coefficient based on the proposed information energy and covariance f…
View article: Problems concerning sharp coefficient functionals of bounded turning functions
Problems concerning sharp coefficient functionals of bounded turning functions Open
The work presented in this article has been motivated by the recent research going on the Hankel determinant bounds and their related consequences, as well as the techniques used previously by many different authors. We aim to establish a …
View article: Novel Dual Partitioned Maclaurin Symmetric Mean Operators for the Selection of Computer Network Security System With Complex Intuitionistic Fuzzy Setting
Novel Dual Partitioned Maclaurin Symmetric Mean Operators for the Selection of Computer Network Security System With Complex Intuitionistic Fuzzy Setting Open
Intuitionistic fuzzy sets (IFSs) are key concepts in ambiguity and uncertainty. However, IFSs deal only with anticipation, not periodicity. To do so, complex intuitionistic fuzzy sets (CIFS) can handle uncertainties and periodicity simulta…
View article: Smart E-Learning Framework for Personalized Adaptive Learning and Sequential Path Recommendations Using Reinforcement Learning
Smart E-Learning Framework for Personalized Adaptive Learning and Sequential Path Recommendations Using Reinforcement Learning Open
Learning activities are considerably supported and improved by the rapid advancement of e-learning systems. This gives students a tremendous chance to participate in learning activities worldwide. The Massive Open Online Courses (MOOCs) pl…
View article: Review on Medical Image Segmentation and Feature Extraction Approaches
Review on Medical Image Segmentation and Feature Extraction Approaches Open
In medicine, "imaging" refers to the technique or technology of seeing in or out of a living organism to discern the constituent parts of that body. During the operation, the medical diagnosis is examined, an analysis of the disease is per…
View article: Hankel inequalities for bounded turning functions in the domain of cosine Hyperbolic function
Hankel inequalities for bounded turning functions in the domain of cosine Hyperbolic function Open
In the present article, we define and investigate a new subfamily of holomorphic functions connected with the cosine hyperbolic function with bounded turning. Further some interesting results like sharp coefficients bounds, sharp Fekete-Sz…
View article: Developing a Personalized E-Learning and MOOC Recommender System in IoT-Enabled Smart Education
Developing a Personalized E-Learning and MOOC Recommender System in IoT-Enabled Smart Education Open
Smart strategies and intelligent technologies are enabling the designing of a smart learning environment that successfully supports the development of personalized learning and adaptive learning. This trend towards integration is in line w…
View article: Bioaccumulation of heavy metals in the different tissues of Mackerel scad, Decapterus macarellus (Cuvier, 1833) collected from Karachi and Gwadar Coasts of Pakistan
Bioaccumulation of heavy metals in the different tissues of Mackerel scad, Decapterus macarellus (Cuvier, 1833) collected from Karachi and Gwadar Coasts of Pakistan Open
Thus, it was concluded that the Karachi environment was much more polluted than the Gwadar environment because it is in an industrial unit and a busy sea site for trade. Moreover, consuming muscles from this species is safe for human healt…
View article: IMPACT OF ORGANIZATIONAL JUSTICE ON JOB SATISFACTION: A CASE STUDY OF BANKING INDUSTRY
IMPACT OF ORGANIZATIONAL JUSTICE ON JOB SATISFACTION: A CASE STUDY OF BANKING INDUSTRY Open
In the workplace, justice and equality are important factors in the performance of employees. A variety of aspects of the work are linked to the practises and procedures that are used to increase productive capacity. Because of this, emplo…
View article: Self-decisive algorithm for unconstrained optimization problems as in biomedical image analysis
Self-decisive algorithm for unconstrained optimization problems as in biomedical image analysis Open
This study describes the construction of a new algorithm where image processing along with the two-step quasi-Newton methods is used in biomedical image analysis. It is a well-known fact that medical informatics is an essential component i…
View article: Novel Bipolar Soft Rough-Set Approximations and Their Application in Solving Decision-Making Problems
Novel Bipolar Soft Rough-Set Approximations and Their Application in Solving Decision-Making Problems Open
The rough set (RS) theory is a successful approach for studying the uncertainty in data.In contrast, the bipolar soft sets (BSS) can deal with the uncertainty, as well as bipolarity of the data in many situations.In 2018, Karaaslan and C ¸…
View article: Certain Topological Indices of Non-Commuting Graphs for Finite Non-Abelian Groups
Certain Topological Indices of Non-Commuting Graphs for Finite Non-Abelian Groups Open
A topological index is a number derived from a molecular structure (i.e., a graph) that represents the fundamental structural characteristics of a suggested molecule. Various topological indices, including the atom-bond connectivity index,…
View article: Soft computing techniques for forecasting of COVID-19 in Pakistan
Soft computing techniques for forecasting of COVID-19 in Pakistan Open
Novel Pandemic COVID-19 led globally to severe health barriers and financial issues in different parts of the world. The forecast on COVID-19 infections is significant. Demeanor vital data will help in executing policies to reduce the numb…
View article: An Advanced Amalgam of Nature-Inspired Algorithms for Global Optimization Problems
An Advanced Amalgam of Nature-Inspired Algorithms for Global Optimization Problems Open
Large-scale global optimization problems are ambitious and quite difficult to handle with deterministic methods. The use of stochastic optimization techniques is a good choice for dealing with these problems. Nature-inspired algorithms (NI…
View article: Applications of <i>q</i>-derivative operator to subclasses of bi-univalent functions involving Gegenbauer polynomials
Applications of <i>q</i>-derivative operator to subclasses of bi-univalent functions involving Gegenbauer polynomials Open
In recent years, using the idea of analytic and bi-univalent functions, many ideas have been developed by different well-known authors, but the using Gegenbauer polynomials along with certain bi-univalent functions is very rare in the lite…