Nagamma Patil
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View article: Mutagenesis Study to Unleash the Genetic Potential of Guava cv Allahabad Safeda through Irradiation of Seeds by EMS and Gamma Rays
Mutagenesis Study to Unleash the Genetic Potential of Guava cv Allahabad Safeda through Irradiation of Seeds by EMS and Gamma Rays Open
In the current investigation, guava cv Allahabad Safeda seeds underwent irradiation using varying concentrations of EMS (1% to 2%) and different doses of gamma rays (0.15 to 0.25 k Gy). The objective was to assess the impact on germination…
View article: Genomic Insights into Guava: De novo Transcriptome Assembly Using Illumina Sequencing Data and SSR Markers Exploration and Discovery
Genomic Insights into Guava: De novo Transcriptome Assembly Using Illumina Sequencing Data and SSR Markers Exploration and Discovery Open
Guava (Psidium guajava L.) is one of the nutritionally and commercially important fruit crops which belongs to family Myrtaceae, and the genus Psidium having diploid chromosome number of 2n = 22. Despite its economic importance genomic res…
View article: Integrated histopathologic modeling of detailed tumor subtypes and actionable biomarkers
Integrated histopathologic modeling of detailed tumor subtypes and actionable biomarkers Open
Accurate cancer subtyping with accompanying molecular characterization is critical for precision oncology. While machine learning approaches have been applied to both digital pathology and cancer genomics, previous work has been limited in…
View article: Green synthesis, characterisation of silver nanoparticles and its photocatalytic activity from fruits extracts of Actinidia deliciosa, Citrus sinensis, Phyllanthus emblica, Tamarindus indica
Green synthesis, characterisation of silver nanoparticles and its photocatalytic activity from fruits extracts of Actinidia deliciosa, Citrus sinensis, Phyllanthus emblica, Tamarindus indica Open
In comparison to physical and chemical approaches, the green synthesis of AgNPs using plant extracts is non-toxic to organisms, inexpensive, and good for the environment. In this study, we have successfully synthesised AgNPs utilising wate…
View article: Capsule Vision Challenge 2024: Multi-Class Abnormality Classification for Video Capsule Endoscopy
Capsule Vision Challenge 2024: Multi-Class Abnormality Classification for Video Capsule Endoscopy Open
This study presents an approach to developing a model for classifying abnormalities in video capsule endoscopy (VCE) frames. Given the challenges of data imbalance, we implemented a tiered augmentation strategy using the albumentations lib…
View article: Optimization-based convolutional neural model for the classification of white blood cells
Optimization-based convolutional neural model for the classification of white blood cells Open
White blood cells (WBCs) are one of the most significant parts of the human immune system, and they play a crucial role in diagnosing the characteristics of pathologists and blood-related diseases. The characteristics of WBCs are well-defi…
View article: Diversity of Xanthomonas citri pv. viticola Populations on Grapevines from Different Locations in India
Diversity of Xanthomonas citri pv. viticola Populations on Grapevines from Different Locations in India Open
The bacterial leaf spot (BLS) disease caused by Xanthomonas citri pv. viticola (Xcv) is a menace to the production of grapes all over India. The maximum incidence of BLS has been reported in the Maharashtra, Karnataka, and Andhra Pradesh s…
View article: Gaussian Blurring Technique for Detecting and Classifying Acute Lymphoblastic Leukemia Cancer Cells from Microscopic Biopsy Images
Gaussian Blurring Technique for Detecting and Classifying Acute Lymphoblastic Leukemia Cancer Cells from Microscopic Biopsy Images Open
Visual inspection of peripheral blood samples is a critical step in the leukemia diagnostic process. Automated solutions based on artificial vision approaches can accelerate this procedure, while also improving accuracy and uniformity of r…
View article: Robust self-healing prediction model for high dimensional data
Robust self-healing prediction model for high dimensional data Open
Owing to the advantages of increased accuracy and the potential to detect unseen patterns, provided by data mining techniques they have been widely incorporated for standard classification problems. They have often been used for high preci…
View article: Cardamom Plant Disease Detection Approach Using EfficientNetV2
Cardamom Plant Disease Detection Approach Using EfficientNetV2 Open
Cardamom is a queen of spices. It is indigenously grown in the evergreen forests of Karnataka, Kerala, Tamil Nadu, and the northeastern states of India. India is the third largest producer of cardamom. Plant diseases cause a catastrophic i…
View article: Leaf Disease Discerning and Pesticides Recommendation using Neural Network
Leaf Disease Discerning and Pesticides Recommendation using Neural Network Open
Crop production problems are common in India which severely effect rural farmers, agriculture sector and the country’s economy as a whole. Food production is to be compromised by various problems; one among them is leaf disease. In Crops, …
View article: An efficient colossal closed itemset mining algorithm for a dataset with high dimensionality
An efficient colossal closed itemset mining algorithm for a dataset with high dimensionality Open
The greater interest of research in the field of bioinformatics and the ample amount of available data across the different domains paved the way for the generation of the dataset with high dimensionality. The number of features in the dat…
View article: A Computational Modeling for Knowledge Binding of the Unstructured Web Data
A Computational Modeling for Knowledge Binding of the Unstructured Web Data Open
The focus of this manuscript is laid towards extracting insightful data embedded into web-based information which is crucial for various academic and commercialized application requirements. The study thereby introduces a robust computatio…
View article: Frequent pattern mining on stream data using Hadoop CanTree-GTree
Frequent pattern mining on stream data using Hadoop CanTree-GTree Open
The need for knowledge discovery from real-time stream data is continuously increasing nowadays and processing of transactions for mining patterns needs efficient data structures and algorithms. We propose a time-efficient Hadoop CanTree-G…
View article: Mining of high utility itemsets of size-2 with pruning strategies and negative item values for B2C companies based on experiential marketing approach
Mining of high utility itemsets of size-2 with pruning strategies and negative item values for B2C companies based on experiential marketing approach Open
Business to customer (B2C) marketing for the retail organisations is the most rapid adoption made by the developed countries, while it has the pitfalls in the developing nations. B2C companies have been continually putting some or the othe…