Amit Prakash Singh
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View article: Legume leaf disease classification via attention-enhanced Swin transformer with feature pyramid fusion (AE-SwinFPF)
Legume leaf disease classification via attention-enhanced Swin transformer with feature pyramid fusion (AE-SwinFPF) Open
Legume crops are vital to global agriculture due to their high nutritional value, ability to fix atmospheric nitrogen and role in promoting sustainable farming practices. However, these crops are susceptible to various foliar diseases that…
View article: Leveraging Segmentation for Potato Plant Disease Severity Estimation and Classification via CBAM-EfficientNetB0 Transfer Learning
Leveraging Segmentation for Potato Plant Disease Severity Estimation and Classification via CBAM-EfficientNetB0 Transfer Learning Open
View article: Classification of Beans Leaf Diseases using Fine Tuned CNN Model
Classification of Beans Leaf Diseases using Fine Tuned CNN Model Open
Automation in the agricultural field is a requirement of all the countries. Usually, plant diseases are observed in the form of visual symptoms and many deep learning-based models have achieved outstanding results in the classification of …
View article: A Systematic Analysis of Machine Learning and Deep Learning Based Approaches for Plant Leaf Disease Classification: A Review
A Systematic Analysis of Machine Learning and Deep Learning Based Approaches for Plant Leaf Disease Classification: A Review Open
Crops’ production and quality of yields are heavily affected by crop diseases which cause adverse impacts on food security as well as economic losses. In India, agriculture is a prime source of income in most rural areas. Hence, there is a…
View article: SE-CapsNet: Automated evaluation of plant disease severity based on feature extraction through Squeeze and Excitation (SE) networks and Capsule networks
SE-CapsNet: Automated evaluation of plant disease severity based on feature extraction through Squeeze and Excitation (SE) networks and Capsule networks Open
Diseases in plants harm the quantity of the overall food production as well as the quality of the yield. Early detection, diagnosis and treatment can greatly reduce losses, both economic and ecological. Intuitively, reduction in the use of…
View article: Hybrid Optimization-Based Robust Watermarking Using Denoising Convolutional Neural Network
Hybrid Optimization-Based Robust Watermarking Using Denoising Convolutional Neural Network Open
Colour images have been widely used in many aspects of life; however, copyright violation issues related to these images motivate research efforts. This paper aims to develop an enhanced watermarking algorithm for producing a watermarked i…
View article: GraphFormers: GNN-nested Transformers for Representation Learning on\n Textual Graph
GraphFormers: GNN-nested Transformers for Representation Learning on\n Textual Graph Open
The representation learning on textual graph is to generate low-dimensional\nembeddings for the nodes based on the individual textual features and the\nneighbourhood information. Recent breakthroughs on pretrained language models\nand grap…
View article: Role of Data Mining: A Survey and its Implications
Role of Data Mining: A Survey and its Implications Open
Data mining is a procedure of mining information from huge set of heterogeneous data which is scattered over different storage repositories, smart devices, internet of things etc. In this paper, we have discussed about various Data Mining …
View article: Comparative Analysis of Time and Physical Redundancy Techniques for Fault Detection
Comparative Analysis of Time and Physical Redundancy Techniques for Fault Detection Open
The integration level in today’s world is continuously increasing in VLSI chips. VLSI circuit verification is a major challenge in these days. Integration capacity of VLSI circuits mimics the testing complexity of circuits. There is a sign…
View article: A Hybrid Approach for CBIR using SVM Classifier, Partical Swarm Optimizer with Mahalanobis Formula
A Hybrid Approach for CBIR using SVM Classifier, Partical Swarm Optimizer with Mahalanobis Formula Open
The goal of content-based image retrieval is to retrieve the images that as per the user query.Mainly the Content based Image retrieval technique attempt to search through the database that finds images that are perceptually similar to a g…