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Advanced Frame Structures in Cognitive Radio Networks Based on Learnheuristic Algorithm
Cognitive radio (CR) is an auspicious technique that can help to address growing demand for spectrum in six-generation communication devices. CR uses... -
Use of Deep Learning to Handle Early-Stage Business Data
The era of data-driven decision-making has ushered in a compelling need for businesses, particularly those in their early stages, to leverage... -
Trusted Traceable NFT for Certificates
This paper introduces a blockchain-based non-fungible token (NFT) for any type of certificate, such as patents, international and national... -
Handwritten Signature Detection and Verification Using CNN
A signature which is manually handwritten is one of the best ways used for authentication and verification of legal documents in any official... -
Multilevel Association Mining with Particle Swarm Optimization: A Comprehensive Approach for High-Utility Itemset Discovery
In various domains, the application of data mining algorithms has become indispensable for uncovering meaningful insights from extensive datasets.... -
A Fuzzy-Based Vision Transformer Model for Tea Leaf Disease Detection
Recently, vision transformer has gained significant attention in the field of precision agriculture for its ability to transfer knowledge from... -
An Active Wave Filter Design Employing Current Controlled Differential Difference Current Conveyor
This research article presents an active design for higher-order filter design using a Current Controlled Differential Difference Current conveyor... -
Attack on Shortest Vector Problem of Lattice Using Machine Learning
In this paper, we studied the attack on shortest vector problem (SVP) of lattice using the machine-learning (ML) algorithm KNN. The prime number... -
Four Element MIMO Antenna with PLUS Shape Radiator Arrangement and Corporate Feed for WLAN and 5G Wideband Wireless Applications
In this article, a compact four-element broadband multiple-input and multiple-output (MIMO) antenna system with a focus on adequate isolation and... -
Bandwidth Enhancement of a 5G Internet Network Using Micro-strip Antenna for Narrow Bandwidth
Micro-strip patch antennas (MPA) are majorly used in various domains due to its small size, shape, and easy assembly and significantly important in... -
Reflecting-Intelligent-Surfaces (IRS)-Assisted Free Space Optical (FSO) Link Performance
Free space optics (FSO) plays a crucial role in establishing connections within remote locations, particularly in challenging areas where optical... -
HABE Secure Access at Cloud-Healthcare Database
With the advent of the big data cloud, society can access streamlined technical assistance and practical data management techniques, allowing data... -
Framework for Early-Stage Diabetes Mellitus Risk Prediction Using Hybrid Supervised Learning
Diabetes mellitus, shortly termed as diabetes is one of the prevalent chronic diseases in the world, which results in high mortality rate. Diabetes... -
Brain Tumor Classification in MRI Images: A CNN and U-Net Approach
The timely detection of brain tumors is pivotal for improving survival prospects. Employing diagnostic imaging modalities like MRI and CT, this study... -
A Comprehensive Review on Advances in Detection of Knee Osteoarthritis
One joint ailment that frequently affects the knee is osteoarthritis (KOA). Osteoarthritis is primarily caused by the deterioration of joint... -
Implementation of Baumann Skin Type Indicator Using Machine Learning
The Baumann Skin Type Indicator (BSTI) is a widely used tool to identify various skin parameters, including dry/oily, pigmented/non-pigmented,... -
Using Deep Learning to Identify Types of Lung Diseases from X-Ray Images
Lung illness is a major global health issue that affects millions of people and heavily strains healthcare systems across the globe. Effective... -
Breast Cancer Prediction Using Hybrid Logistic Regression
Breast cancer is more frequently diagnosed in women than in males, and it starts in the breast cells. Breast cancer frequently begins as a noticeable... -
Leveraging Metaheuristic Optimized Machine Learning Classifiers to Determine Employee Satisfaction
The scholarly exploration of employee satisfaction has intensified following the identification of its correlation with work performance. Numerous... -
Enhanced Skin Disease Image Analysis Using Hybrid CLAHE-Median Filter and Salient K-Means Cluster
Skin diseases are prevalent, and accurate diagnosis is crucial for effective treatment. However, noise in medical images can hinder accurate...