A5019012781- Software Engineering Research
- Text and Document Classification Technologies
- Vehicle License Plate Recognition
- Advanced Software Engineering Methodologies
- Big Data and Business Intelligence
- Web Data Mining and Analysis
- Financial Distress and Bankruptcy Prediction
- Sentiment Analysis and Opinion Mining
- Handwritten Text Recognition Techniques
- Genetics, Bioinformatics, and Biomedical Research
- Diverse Musicological Studies
- Logic, programming, and type systems
- Mathematical Analysis and Transform Methods
- Face and Expression Recognition
- Software Engineering Techniques and Practices
- Machine Learning and Data Classification
- Digital Imaging for Blood Diseases
- Music and Audio Processing
- Face recognition and analysis
- Data Stream Mining Techniques
- AI and HR Technologies
- Video Surveillance and Tracking Methods
- Traffic control and management
- Software Reliability and Analysis Research
- Blind Source Separation Techniques
Kakatiya University
2023-2024
National Institute of Technology Warangal
2015-2022
Images of the retina are widely used for diagnosing fundus disease. Low-quality retinal photos make it hard computer-aided diagnosis systems and ophthalmologists to a clinical diagnosis. In ophthalmology, precision medicine is based partly on quality images. Diabetic Retinopathy (DR) common complication diabetes mellitus that causes iris damage. It difficult detect and, if not detected early, can result in blindness. Convolutional neural networks gaining popularity as an effective deep...
The traffic accident prediction represents a vital role in the combined planning and management of traffic, design which involve some nonlinear components, such as people, road, vehicle, weather so on. convention way extended studies cannot expose real situation since noise corruption amount data are too small, that result be satisfied. This paper proposes deep learning-based new road applying "Convolutional Neural Network model" (CNN). It uses influencing circumstances like light, weather,...
In the human body, face is most crucial factor in identifying each person as it contains many vital details. There are different prevailing methods to capture person's presence like biometrics take attendance which a time-consuming process. This paper develops model classify character's from captured image using collection of rules i.e., LBP algorithm record student attendance. (Local Binary Pattern) one among and popular well effective technique used for representation classification was...
The paper introduces an advance to connect various current information retrieval (IR) techniques with change impact analysis (CIA) and Bag of Words, trying recognize the possible results a replacement or manage required changes for affecting necessary change. In this neural network-based LSTM-RNN Algorithm is proposed find similarity document. Also, RMSprop Optimization model used reduce vibrations in upward path it can improve our learning rate precision rate. experimental result shows that...
Software engineering is a major research area which can integrate other technical application areas into it. The important issue in software reuse. It always better to reuse rather than doing it from scratch. In order attain the reusability, an efficient design of repository needed. searching algorithms and retrieval mechanisms will work effectively for well defined repository. this paper, data mining technique specifically clustering applied designing component components considered our...
Now a days lot real world applications are based on image processing. In processing after acquisition, the next step is pre-processing stage. The main objective of stage to make appear visually better end user by removing noise using various filtering techniques. Filtering techniques change look and feel its pixel information. There kinds present in an like salt pepper noises, blur, Gaussian periodic etc. These noises can be removed spatial frequency domain mean filters, median Weiner...
Software reuse is one of the major research area in component based software engineering (CBSE). It an which integrates all other technical areas like data mining, soft computing, artificial intelligence etc. The are to be focused classification, clustering, searching, indexing and retrieval components. There many techniques described literature each with their advantages limitations. In this paper, we propose a dynamic approach where components retrieved by using genetic algorithm. proposed...
License plate (LP) detection algorithms have made considerable strides in the literature, showcasing enhanced performance recognizing LPs from images.However, these face limitations various environmental conditions and diverse LP variants.Over several decades, researchers diligently explored approaches to detection.The task of detecting multiple within an image while accommodating challenges like translation, scaling, rotation, influence meteorological factors poses a formidable challenge,...
In today’s digital environment, business intelligence advances make it difficult to stay competitive and up date on trends. Decision-making in the financial industry is increasingly being powered by big data machine learning. A decision-making process may be thought of as any sequence processes that an individual goes through order select option or course action most suitable meet their needs necessities. The ability anticipate onset a crisis significant economic phenomenon. nation’s...
Now-a-days, the research is more towards entertainment like music, songs, movies, etc. There are many existing works that suggest good movies to people depending on their mood, nature and time has been savior for society during days of lockdown. The algorithms used in literature basic clustering K-means, TSNE (T- distributed Stochastic Neighborhood Embedding), PCA (Principal Component Analysis).In this paper, music dataset considered, consists songs with attributes as song name, genres,...
Social media is becoming a crucial part of our everyday lives, whether it’s for product advertising, developing brand value, or reaching out to users. At the same time, sentiment analysis (SA) method determining emotions associated with online information. The main obstacle SA’s success presence sarcasm in text. Previous studies on identification use lexical and pragmatic signs such as interjection, punctuation, sentimental change, amongst others. Deep learning (DL) models can be used learn...