Latest Essays
Fraudulent Transaction Detection System Using Apriori and Support Vector Machine
Abstract: The growing use of information technology has made various financial services easily accessible to the users; nonetheless, this has also resulted in an increase in fraudulent 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 fraudulent transactions. From large datasets, ML algorithms can uncover data relationships and implicit
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
A Critical Evaluation of Common English Syllabi at UG Level in the UT of Puducherry
INTRODUCTION The English language serves as a universal means of academic discourse, fostering intellectual development and facilitating professional progress on a worldwide scale. The study of English at the undergraduate level is of significant importance within the educational context of India, encompassing the Union Territory of Puducherry. The act of facilitating comprehension and articulation of complicated concepts not only fosters critical thinking, analytical abilities, and cultural understanding, but also contributes
Lung Cancer Classification using Adaptive Correlation Enhanced Active Contour Model and DenseEnsembleNet
Abstract Accurate lung cancer classification is essential for efficient treatment scheduling and positive patient outcomes since lung cancer is a prevalent and deadly condition. In this study, offered a cutting-edge method for classifying lung cancer that combines deep learning, feature extraction, and image processing advances. We commence by enhancing lung cancer images through advanced denoising techniques, augmenting the dataset via Generative Adversarial Networks (GANs) to bolster model generalization. Subsequently, we
The Impact of Slip Velocity and Viscous Dissipation in the Casson Micropolar Fluid over a Stretching Sheet – A Numerical Analysis
2.1 Introduction The utilization of fluids which doesn’t possess “Newtonian” behaviour performs a predominant role by encompassing a wide range of applications in the fields of science, bioengineering and much more. It is important to note that the rheological behaviours exhibited by such fluids differ significantly from those observed in coagulated fluids. It is important to note that no one parametric equation can adequately capture all of these fluids’ qualities
Ensembled Deep Learning Based Wind Power Forecasting: A Meta-Heuristic Approach
Abstract In renewable energy, precise wind power forecasting (WPF) is critical for grid stability. This paper introduces a novel deep learning (DL) ensemble method for enhanced accuracy. The proposed methodology encompasses a comprehensive pre-processing phase, involving data cleaning and normalization through Box-Cox transformation, as well as data imputation to handle missing values. Feature extraction leverages statistical attributes such as skewness, kurtosis, autocorrelation, and fundamental statistics like mean, median, standard deviation,
How to Overcome the Fear of Rejection
Everyone is familiar with the fear of rejection. It manifests itself in a variety of situations — at work, in friendships, and when interacting with strangers. Most often, we fear that our words, actions, or feelings will not be accepted, and this fear can greatly limit our lives. It prevents us from making new friends, expressing our opinions, participating in discussions, and trying new things. The fear of rejection is
How to Connect with Archangel Metatron: Sacred Geometry, Signs, and Divine Guidance
Connecting with Archangel Metatron requires moving beyond passive devotional hope into active engagement with the archetypal energies of divine order, sacred structure, and the translation of celestial wisdom into earthly form. For leaders, founders, and visionaries called to shape systems and culture, Metatron offers specific support for the work of organizing complexity, documenting truth, and structuring vision into manifestable reality. As explored in the teachings at Shams-Tabriz, authentic spiritual connection
Academic Burnout in University Students: Causes, Consequences, and Coping Mechanisms
Introduction This literature review examines the lived experience of academic burnout among university students and discusses its causes, consequences of academic burnout, and how to cope with the burnout. It focuses on learning how students experience burnout, what emotional and academic consequences they endure, and what coping mechanisms they use to deal with it. The review represents opinions of different domains and academic levels and provides a holistic approach to
Physician-Assisted Suicide should be Legal
Physician-assisted suicide is one of the most complex ethical and legal issues in modern medicine. It raises difficult questions about personal autonomy, unbearable suffering, medical responsibility, human dignity, and the protection of vulnerable patients. Supporters believe that mentally capable adults with terminal illnesses should be allowed to decide when prolonged suffering has made life intolerable. Opponents argue that helping a patient die conflicts with the physician’s role as a healer
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