Ramya Laxmi - Academia.edu (original) (raw)

Papers by Ramya Laxmi

Research paper thumbnail of Fertilizer Recommendation for Rice Crop based on NPK Nutrient deficiency using Deep Neural Networks and Random Forest Algorithm

2023 3rd International conference on Artificial Intelligence and Signal Processing (AISP)

Research paper thumbnail of Prediction Accuracy Model Aiming to Improve Prediction Accuracy in Congenital Heart Anomaly Detection using Hybrid Feature Selection with Modified Particle Swarm Optimization Approach

Journal of Physics: Conference Series

Heart Disease is one of the primary causes of mortality and morbidity in the Globe since the 19th... more Heart Disease is one of the primary causes of mortality and morbidity in the Globe since the 19th Century. Most of the Globalized Multi-Specialty Hospitals are not able to control and governed by emerging technologies, at the same time, the death rate escalates day by day in addition to Covid-19 is a multifaceted state. Heart disease classification involves identifying numerous health problems and sickness symptoms of ones’ individual with significant feature selection, there is misclassification probability that could be very high and priceless. There are many diverse methods were designing for heart disease prediction systems in earlier days, even though it is unsolved and rising the death rate. As observed by many research groups, PSO is an intensive computational and inspired biologically inspired algorithms like Genetic Algorithms (GA) has a proven track record to handle computationally complex problems with competence for predicting heart diseases. This research contribution t...

Research paper thumbnail of Automated Fire Detection and Surveillance System

YMER Digital

The major goal of this project is to build a fire detection and surveillance system that is autom... more The major goal of this project is to build a fire detection and surveillance system that is automatic. During surveillance, Convolutional Neural Networks will be employed to detect the fire (CNNs). Such methods, on the other hand, typically need greater processing time and memory, limiting their use in surveillance networks. We propose a low-cost fire detection CNN architecture for surveillance films in this research. This is mostly concerned with computational complexity and detection precision. The model is fine-tuned to balance efficiency and accuracy, taking into account the nature of the target problem and fire data. This system takes an image or video file as input and detects fire and fire percentages that are precise enough to prevent fire mishaps and save human lives.

Research paper thumbnail of Internet of Things (IoT) based Home Automation System (HAS) Implementation of Real-Time Experiment

International journal of engineering research and technology, Jul 16, 2021

Internet of Things(IoT) is a next generation of Internet. The IoT providing an easy way of life w... more Internet of Things(IoT) is a next generation of Internet. The IoT providing an easy way of life with comforts to human being by managing and interacting remotely control of home appliances. The Home Automation System is a new technology for control remotely by IoT technology infrastructure(sensors, communication devices, microcontroller, NodeMCU) without interacting of human being.

Research paper thumbnail of Artificial Intelligence and Machine Learning in 2D/3D Medical Image Processing

We express our appreciation to all of the contributing authors who helped us tremendously with th... more We express our appreciation to all of the contributing authors who helped us tremendously with their contributions, time, critical thoughts, and suggestions to put together this peer-reviewed edited volume. The editors are also thankful to Apple Academic Press and their team members for the opportunity to publish this volume. Lastly, we thank our family members for their love, support, encouragement, and patience during the entire period of this work.

Research paper thumbnail of Assessment Methods of Cognitive Ability of Human Brains for Inborn Intelligence Potential Using Pattern Recognitions

Biometric Systems, 2021

This research aims to examine the scientific study related to fingerprint patterns and brains lob... more This research aims to examine the scientific study related to fingerprint patterns and brains lobes. Generally, this method is used to find and develop the inborn potential and personality especially of children. Every person is having inborn potential and personality, which will help us to analyze strength and weakness. The present work is based only on the analysis and used as a reference for scientific research in the field of Galtian and statistical study conducted based on the fingerprint processing. Human brain is divided into two parts, left hemispheres and right hemispheres. Fingers of right hand represent the functions of left brain and fingers of left hand represent the functions of right brain. Human brain is divided into 10 lobes and each lobe is related with each finger. Each lobe represents different intelligences. A detailed analysis of the fingerprint would help the researchers to find the inborn talents. It will provide them the most appropriate learning habits from...

Research paper thumbnail of 移動物体検出と追跡のための修正平均シフト法とKalmanフィルタの研究と解析【JST・京大機械翻訳】

Advances in intelligent systems and computing, 2020

Research paper thumbnail of Modified Cross‐Sell Model for Telecom Service Providers Using Data Mining Techniques

Data Mining and Machine Learning Applications, 2022

Research paper thumbnail of Study and Analysis of Apriori and K-Means Algorithms for Web Mining

Emerging technologies such as cloud computing and data mining deal with issues such as scalabilit... more Emerging technologies such as cloud computing and data mining deal with issues such as scalability, security and efficiency. Web mining is broadly classified under data mining, refers to the resultant data combination obtained by assembling data available in the Web and information mining techniques. In general, mining can be defined as the process of extracting significant things from huge datasets. The applications of Web mining include the evaluation of the successful completion of a particular task, assessing the applicability of specific Web sites and comprehending client conduct. The proposed work is concerned with distributed networks and is aimed at improving the efficiency of data mining and cloud computing techniques. The main goal is to find a solution for generating various itemsets in each site. A well-known algorithm in data mining is the Apriori algorithm which discards infrequent items at the cost of useful data. A major limitation of this algorithm is its slowness, ...

Research paper thumbnail of Cryptocurrency Price Prediction Using Machine Learning

SAMRIDDHI : A Journal of Physical Sciences, Engineering and Technology, 2020

Research paper thumbnail of Multi-Label Classification for Images with Labels for Image Annotation

SAMRIDDHI : A Journal of Physical Sciences, Engineering and Technology, 2020

Research paper thumbnail of Detection and Identification of Animals in Wild Life Sanctuaries using Convolutional Neural Network

International Journal of Recent Technology and Engineering (IJRTE), 2020

Comprehensive, Precise and real time data regarding the position and characteristics of animals i... more Comprehensive, Precise and real time data regarding the position and characteristics of animals is necessary for safeguarding visitors inside a wildlife sanctuary. Investigations are made on the capability for automated, unambiguous and economical collection of data that are useful to perform rescue operations within the sanctuary because of the absence of other communicational sources. Web camera enables collection of photos relating to wildlife economically, conservatively as well as regularly. Extraction of information from such photos is costly, slow and requires human intervention. The proposed system demonstrates the automatic extraction of such data using Convolutional Neural Network (CNN). Deep CNN is trained for a set of images available in a wildlife dataset.

Research paper thumbnail of A Framework of ICT Implementation on Higher Educational Institution with Data Mining Approach

European Journal of Engineering Research and Science, 2019

As the fundamental block of the modernised society, Information and Communication Technology (ICT... more As the fundamental block of the modernised society, Information and Communication Technology (ICT), has brought changes in the principles and procedures of nearly all endeavours in education. The comprehensive changes in (ICT) have evolutionary effect on higher educational institutions on their domains of knowledge application. Hence integration of ICT is of great demand for improving efficiency of such institutions. Reports on researches reveal that the use of ICT makes students more involved in the process of learning than that with the conventional methods of learning. Therefore, it is necessary to concentrate more on implementing ICT in higher education in the view of providing easily available, inexpensive and high quality education. This paper proposes the design of ICT in higher educational institutions. On the other hand, a Sensible Data Mining (SDM) is designed by integrating both the data mining and technology for visualisation in order to apply it on the evaluation system...

Research paper thumbnail of Lung Segmentation and Nodule Detection in 3D Medical Images Using Convolution Neural Network

Research paper thumbnail of A Hybrid Approach of Wavelet Transform Using Lifting Scheme and Discrete Wavelet Transform Technique for Image Processing

Learning and Analytics in Intelligent Systems, 2019

Now a modern time many area such as company, medical, research and file require large number of i... more Now a modern time many area such as company, medical, research and file require large number of image for general-purpose application to solve the complex problem. Image contain more information that require more storage space and transmission bandwidths, so the image compression is required to store only important information and reduce the different types of redundancy of image for storing and transmission in an efficient manner, because uncompressed image required more data storage capacity and transmission time. In the present work the storing space used is very less ecuase it help in reducing the processing time. For image compression, different transform technique is used. Image can be represented as a matrix of pixel values and after compression by applying different method there is no change or little change between pixel values. This present work is uses haar method and Lifting Wavelet Transform for image compression for increase the efficiency of Discrete Wavelet Transform...

Research paper thumbnail of Study and Analysis of Modified Mean Shift Method and Kalman Filter for Moving Object Detection and Tracking

Proceedings of the Third International Conference on Computational Intelligence and Informatics

Research paper thumbnail of Fertilizer Recommendation for Rice Crop based on NPK Nutrient deficiency using Deep Neural Networks and Random Forest Algorithm

2023 3rd International conference on Artificial Intelligence and Signal Processing (AISP)

Research paper thumbnail of Prediction Accuracy Model Aiming to Improve Prediction Accuracy in Congenital Heart Anomaly Detection using Hybrid Feature Selection with Modified Particle Swarm Optimization Approach

Journal of Physics: Conference Series

Heart Disease is one of the primary causes of mortality and morbidity in the Globe since the 19th... more Heart Disease is one of the primary causes of mortality and morbidity in the Globe since the 19th Century. Most of the Globalized Multi-Specialty Hospitals are not able to control and governed by emerging technologies, at the same time, the death rate escalates day by day in addition to Covid-19 is a multifaceted state. Heart disease classification involves identifying numerous health problems and sickness symptoms of ones’ individual with significant feature selection, there is misclassification probability that could be very high and priceless. There are many diverse methods were designing for heart disease prediction systems in earlier days, even though it is unsolved and rising the death rate. As observed by many research groups, PSO is an intensive computational and inspired biologically inspired algorithms like Genetic Algorithms (GA) has a proven track record to handle computationally complex problems with competence for predicting heart diseases. This research contribution t...

Research paper thumbnail of Automated Fire Detection and Surveillance System

YMER Digital

The major goal of this project is to build a fire detection and surveillance system that is autom... more The major goal of this project is to build a fire detection and surveillance system that is automatic. During surveillance, Convolutional Neural Networks will be employed to detect the fire (CNNs). Such methods, on the other hand, typically need greater processing time and memory, limiting their use in surveillance networks. We propose a low-cost fire detection CNN architecture for surveillance films in this research. This is mostly concerned with computational complexity and detection precision. The model is fine-tuned to balance efficiency and accuracy, taking into account the nature of the target problem and fire data. This system takes an image or video file as input and detects fire and fire percentages that are precise enough to prevent fire mishaps and save human lives.

Research paper thumbnail of Internet of Things (IoT) based Home Automation System (HAS) Implementation of Real-Time Experiment

International journal of engineering research and technology, Jul 16, 2021

Internet of Things(IoT) is a next generation of Internet. The IoT providing an easy way of life w... more Internet of Things(IoT) is a next generation of Internet. The IoT providing an easy way of life with comforts to human being by managing and interacting remotely control of home appliances. The Home Automation System is a new technology for control remotely by IoT technology infrastructure(sensors, communication devices, microcontroller, NodeMCU) without interacting of human being.

Research paper thumbnail of Artificial Intelligence and Machine Learning in 2D/3D Medical Image Processing

We express our appreciation to all of the contributing authors who helped us tremendously with th... more We express our appreciation to all of the contributing authors who helped us tremendously with their contributions, time, critical thoughts, and suggestions to put together this peer-reviewed edited volume. The editors are also thankful to Apple Academic Press and their team members for the opportunity to publish this volume. Lastly, we thank our family members for their love, support, encouragement, and patience during the entire period of this work.

Research paper thumbnail of Assessment Methods of Cognitive Ability of Human Brains for Inborn Intelligence Potential Using Pattern Recognitions

Biometric Systems, 2021

This research aims to examine the scientific study related to fingerprint patterns and brains lob... more This research aims to examine the scientific study related to fingerprint patterns and brains lobes. Generally, this method is used to find and develop the inborn potential and personality especially of children. Every person is having inborn potential and personality, which will help us to analyze strength and weakness. The present work is based only on the analysis and used as a reference for scientific research in the field of Galtian and statistical study conducted based on the fingerprint processing. Human brain is divided into two parts, left hemispheres and right hemispheres. Fingers of right hand represent the functions of left brain and fingers of left hand represent the functions of right brain. Human brain is divided into 10 lobes and each lobe is related with each finger. Each lobe represents different intelligences. A detailed analysis of the fingerprint would help the researchers to find the inborn talents. It will provide them the most appropriate learning habits from...

Research paper thumbnail of 移動物体検出と追跡のための修正平均シフト法とKalmanフィルタの研究と解析【JST・京大機械翻訳】

Advances in intelligent systems and computing, 2020

Research paper thumbnail of Modified Cross‐Sell Model for Telecom Service Providers Using Data Mining Techniques

Data Mining and Machine Learning Applications, 2022

Research paper thumbnail of Study and Analysis of Apriori and K-Means Algorithms for Web Mining

Emerging technologies such as cloud computing and data mining deal with issues such as scalabilit... more Emerging technologies such as cloud computing and data mining deal with issues such as scalability, security and efficiency. Web mining is broadly classified under data mining, refers to the resultant data combination obtained by assembling data available in the Web and information mining techniques. In general, mining can be defined as the process of extracting significant things from huge datasets. The applications of Web mining include the evaluation of the successful completion of a particular task, assessing the applicability of specific Web sites and comprehending client conduct. The proposed work is concerned with distributed networks and is aimed at improving the efficiency of data mining and cloud computing techniques. The main goal is to find a solution for generating various itemsets in each site. A well-known algorithm in data mining is the Apriori algorithm which discards infrequent items at the cost of useful data. A major limitation of this algorithm is its slowness, ...

Research paper thumbnail of Cryptocurrency Price Prediction Using Machine Learning

SAMRIDDHI : A Journal of Physical Sciences, Engineering and Technology, 2020

Research paper thumbnail of Multi-Label Classification for Images with Labels for Image Annotation

SAMRIDDHI : A Journal of Physical Sciences, Engineering and Technology, 2020

Research paper thumbnail of Detection and Identification of Animals in Wild Life Sanctuaries using Convolutional Neural Network

International Journal of Recent Technology and Engineering (IJRTE), 2020

Comprehensive, Precise and real time data regarding the position and characteristics of animals i... more Comprehensive, Precise and real time data regarding the position and characteristics of animals is necessary for safeguarding visitors inside a wildlife sanctuary. Investigations are made on the capability for automated, unambiguous and economical collection of data that are useful to perform rescue operations within the sanctuary because of the absence of other communicational sources. Web camera enables collection of photos relating to wildlife economically, conservatively as well as regularly. Extraction of information from such photos is costly, slow and requires human intervention. The proposed system demonstrates the automatic extraction of such data using Convolutional Neural Network (CNN). Deep CNN is trained for a set of images available in a wildlife dataset.

Research paper thumbnail of A Framework of ICT Implementation on Higher Educational Institution with Data Mining Approach

European Journal of Engineering Research and Science, 2019

As the fundamental block of the modernised society, Information and Communication Technology (ICT... more As the fundamental block of the modernised society, Information and Communication Technology (ICT), has brought changes in the principles and procedures of nearly all endeavours in education. The comprehensive changes in (ICT) have evolutionary effect on higher educational institutions on their domains of knowledge application. Hence integration of ICT is of great demand for improving efficiency of such institutions. Reports on researches reveal that the use of ICT makes students more involved in the process of learning than that with the conventional methods of learning. Therefore, it is necessary to concentrate more on implementing ICT in higher education in the view of providing easily available, inexpensive and high quality education. This paper proposes the design of ICT in higher educational institutions. On the other hand, a Sensible Data Mining (SDM) is designed by integrating both the data mining and technology for visualisation in order to apply it on the evaluation system...

Research paper thumbnail of Lung Segmentation and Nodule Detection in 3D Medical Images Using Convolution Neural Network

Research paper thumbnail of A Hybrid Approach of Wavelet Transform Using Lifting Scheme and Discrete Wavelet Transform Technique for Image Processing

Learning and Analytics in Intelligent Systems, 2019

Now a modern time many area such as company, medical, research and file require large number of i... more Now a modern time many area such as company, medical, research and file require large number of image for general-purpose application to solve the complex problem. Image contain more information that require more storage space and transmission bandwidths, so the image compression is required to store only important information and reduce the different types of redundancy of image for storing and transmission in an efficient manner, because uncompressed image required more data storage capacity and transmission time. In the present work the storing space used is very less ecuase it help in reducing the processing time. For image compression, different transform technique is used. Image can be represented as a matrix of pixel values and after compression by applying different method there is no change or little change between pixel values. This present work is uses haar method and Lifting Wavelet Transform for image compression for increase the efficiency of Discrete Wavelet Transform...

Research paper thumbnail of Study and Analysis of Modified Mean Shift Method and Kalman Filter for Moving Object Detection and Tracking

Proceedings of the Third International Conference on Computational Intelligence and Informatics