Latest Essays
Cervical Cancer Detection Via Cnn-Trans-Attention Layer Net: A Deep Learning Approach for Accurate Diagnosis
ABSTRACT Cervical cancer (CC) is considered as a second leading cause of cancer death in women. Though it seems that this cancer only affects elderly women, it actually affects younger women also. Since it has four stages, the Early detection may result in less mortality rates. There exist various methods for the detection of such diseases. To overcome the drawbacks in the methods in use and to diagnose this disease
Enhancing Agile Project Management: A Comprehensive Study on the Measurement and Optimisation of Sprint Work Effectiveness
Abstract In the fast-evolving landscape of project management, agile methodologies have emerged as a transformative force, enabling organizations to respond swiftly to change and deliver value incrementally. Central to agile practices is a sprint, a time-boxed iteration where cross-functional teams collaboratively work to deliver a potentially shippable product increment. However, the effective measurement of sprint work remains a critical challenge for organizations seeking to optimize their agile processes. The study’s
Determinants of Employee Retention in the It Sector: An Empirical Study on the Impact of Recognition, Compensation, and Work Environment
Abstract IT companies must pay close attention to employee retention if they want to stay competitive in the continually changing technical environment. Through an empirical investigation, the variables of recognition, salary, and work environment are highlighted as important elements influencing employee retention. The goal of the study is to offer important insights into the complicated dynamics that affect the retention of qualified IT professionals through a thorough analysis of these
Leukemic Detection with Customized Cellular Instance Segmentation and Leukemianet Classification
Abstract Leukemia, a malignant blood cancer, poses a significant health threat, particularly when not diagnosed promptly and accurately. This paper developed a comprehensive approach to leukemia cancer detection leveraging advanced techniques and technology. To enhance the model’s robustness and ability to generalize, a Generative Adversarial Network (GAN) is employed for image augmentation. The progression continues with a sequence of preprocessing procedures. Gaussian Blur is applied to reduce noise and improve
The Heart of the Sukkah: Schach
The most vital element of any Sukkah is its roof, known as Schach. At Prime Sukkah, we understand that the caliber of your Schach directly dictates both the comfort and the Halachic integrity of your holiday dwelling. We source our premium bamboo while it is still strikingly vibrant and green, ordering only seasonal quantities each year to guarantee unmatched freshness and extended durability. What is Schach? Schach is the traditional
The Importance of Verification in Second-Hand Purchases
The second-hand market is bigger than ever. Driven by sustainability and tighter budgets, people now buy everything from vintage clothing and luxury watches to used smartphones and, critically, motor vehicles. On the surface, buying pre-owned is a financial and environmental victory. But beneath the surface lies real risk. When you buy new, you pay for reassurance. When you buy used, you trade cash for doubt. That is why verification isn’t
Power Quality in Grid-Connected Solar PV Systems
INTRODUCTION 1.1 Introduction to Power Quality in Grid-Connected Solar PV Systems Grid-connected solar photovoltaic (PV) systems have become an attractive choice to fulfil the world’s growing energy demands while lowering greenhouse gas emissions in the pursuit of sustainable and clean energy sources. These devices capture the sun’s plentiful energy and transform it into electricity that can be connected to the grids that are already in place. The increasing prevalence of solar
A High-Level Metaheuristic Aware Feature Learning approaches for Identifying Coronavirus Variant
Abstract A beta coronavirus called Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has single-stranded (positive-sense) Ribonucleic acid (RNA) genomes that are enclosed and of zoonotic origin. The prediction of Coronavirus variants is a most complicated work. This proposed model presents an innovative approach to preprocessing Deoxyribonucleic acid (DNA) sequences using K-mers, resulting in the transformation of genetic data into English-like statements. The K-mer technique employs a sliding window with a
Fraudulence Transaction Detection Using System Using Apriori And Support Vector Machine
Abstract: The growing uses of information technology has made various financial services easily accessible to the users; nonetheless, this has also resulted in an increase in fraud transactions. Both the security of online transactions and the user experience can be improved by automatically detecting and identifying fraud. A machine learning (ML) method can be used for identifying fraud transactions. From large datasets, ML algorithms can uncover data relationships and implicit hidden patterns. Therefore, there is a possibility for
Attitude To Espouse E-Learning System During Covid-19 Paramedic Situation Analysis With A Structural Equation Model For Evaluating Students
ABSTRACT The pandemic situation across the globe has forced educational institutions to shut down to control the spread of this virus. These incidents made the teaching professionals think of alternative methods of coaching during this lockdown. Thus, it paves the way towards web-based learning. This study will help to find out the students’ attitudes towards online class and exams during COVID – 19 Pandemic. It was done for the students
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