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. ...

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 ...

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, ...

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 ...

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 ...

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 ...

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 $\alpha=\lambda_1\alpha_1+...+\lambda_n \alpha_n$. ...

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 ...

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, ...

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 ...

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 ...

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. ...

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 ...

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 ...

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 ...

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 ...

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)| ...

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, ...

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 ...

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 ...