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A Multi-Objective Particle Swarm OptimizationApproach for Optimizing K-Means Clustering Centroids
The K-Means algorithm is a popular unsupervised learning method used for data clustering. However, its performance heavily depends on centroid initialization and the distribution shape of the data, making it less effective for datasets with complex…
A multiband sub-6 THz patch antenna with high gain for
IoT and 6G communication
This comprehensive study introduces a meticulously designed and characterized
terahertz (THz) multiple-input multiple-output (MIMO) antenna engineered to
operate within the 0.4 THz to 1.6 THz frequency range. The antenna’s construction
includes a…
terahertz (THz) multiple-input multiple-output (MIMO) antenna engineered to
operate within the 0.4 THz to 1.6 THz frequency range. The antenna’s construction
includes a…
A Multiple Linear Regression Approach to Predicting AI Professionals’
Salaries from Location and Skill Data
The rapid growth of Artificial Intelligence (AI) industries worldwide has increased the demand for skilled professionals and highlighted the need to understand
salary determinants in this sector. This study aims to analyze the factors influencing…
salary determinants in this sector. This study aims to analyze the factors influencing…
A Multivariate Fuzzy Weighted K-Modes Algorithm with Probabilistic Distance for Categorical Data
Data clustering is a data mining approach that assigns similar data to the same group. Traditionally, cluster similarity considers all attributes equally, but in real-world applications, some attributes may be more important than others.…
A neuro-game model for analyzing strategies in the dynamic interaction of participants of phishing attacks
A dynamic model of countering phishing attacks is considered. Cryptocurrency exchanges (CCE) and/or their clients are considered as an example of a phishing victim. The model, unlike similar ones, is based on the assumption that the dynamics of the…
A New Computer Vision Based Rail Detection
Method Using Entropy and Support Vector Machines
Abstract—Condition monitoring in railways is an important and
critical process in terms of travel safety. However, this process is
generally done based on observation or with various equipment.
Therefore, it is costly and has a high probability of…
critical process in terms of travel safety. However, this process is
generally done based on observation or with various equipment.
Therefore, it is costly and has a high probability of…
A New Digital Signature Scheme Using Tribonacci Matrices
Achieving security is the most important goal for any digital signature scheme. The security of RSA, the most widely used signature is based on the difficulty of factoring of large integers. The minimum key size required for RSA according to current…
A New Framework for Dynamic Educational Marketing Segmentation in Student Recruitment: Optimizing Fuzzy C-Means with Metaheuristic Techniques
An effective educational marketing strategy requires accurate school segmentation to enhance new student recruitment. Traditional segmentation methods such as K-means are often used, but they have limitations in capturing …
A new printed multiband fractal triangular antenna for wireless application
This letter investigates the properties of a novel multi-band fractal antenna with a triangular geometry that can expand its bandwidth, provide multiband functionality, and enable the best smart antenna technology. The antenna employs an FR4 as…
A new rating of sustainability based on the Morningstar Sustainability Rating
Nowadays, investors seek beyond the financial performance of their investments, including Environmental, Social, and Governance (ESG) criteria in the decision-making process. To this effect, there are currently suppliers who offer different…