Latest Essays
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
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
LEUKEMIA CANCER DETECTION IN MICROSCOPIC BLOOD SAMPLES
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
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,
Z-library and the New Habit of Learning Outside Expectations
A shift in learning happens when curiosity takes the wheel. Many readers move toward open discovery rather than rigid study paths. It feels a bit like wandering through a quiet bookshop at night where each shelf calls with its own story. This habit grows as more people stumble on new ideas without pressure or rules. In this shift the phrase free digital reading feels richer with the collection available on
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