swarna prabha jena | BIJU PATTNAIK UNIVERSITY OF TECHNOLOGY (original) (raw)

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Papers by swarna prabha jena

Research paper thumbnail of Implementing swarm intelligence for image enhancement: a comparative study

International journal of reasoning-based intelligent systems, 2024

Research paper thumbnail of Internet of things-based remote monitoring and classification of <i>Spinacia oleracea</i> leaf disease using deep learning approach

International journal of web and grid services, 2024

Research paper thumbnail of Enhancing Healthcare with Edge AI for Analysis of Cough Detection

Research paper thumbnail of Internet of Things-Based Remote Monitoring and Classification of Spinacia Oleracea Leaf Disease Using Deep Learning Approach

International journal of web and grid services, 2024

Research paper thumbnail of Deep Learning and IoT for Detecting and Classifying Leaf Diseases in Agriculture 4.0: A Systematic Review

International Journal of Internet Manufacturing and Services, Dec 31, 2023

Research paper thumbnail of Integration of Cellular IoT for Greenhouse Monitoring, Controlling and Notification System

Research paper thumbnail of A novel steganography process using LSB technique with decoded text and speech output

International Journal of Multidisciplinary Research and Development, Apr 1, 2018

Research paper thumbnail of Facial Expression Recognition Using Python Using CNN Model

Current Journal of Applied Science and Technology, 2021

Facial expressions are a vital part of human life. Each day has a number of instances and all ins... more Facial expressions are a vital part of human life. Each day has a number of instances and all instances include numerous amounts of communication. Every communication expressed with emotion tells us about the state of the person. The interpersonal as well as security purposes are solved through facial expressions. The mischievous intention of a person can be caught by his expressions. The human mind can capture visual information faster. So, a machine recognizing it will be a challenge. As the saying goes- “A picture is worth a thousand words”- only when it is represented well. A machine being able to detect the atmosphere by the means of expression is less of a manual work. This paper detects the faces, extract the features as well classify them into different categories which ultimately lead to expression recognition. We evaluate our proposed method with the dataset which we used and the recall of angry, fear, happy, neutral, sad, and surprise is 60%, 31%, 84%, 22%, 57% and 58% re...

Research paper thumbnail of Prediction of Stock Price Using Machine Learning Techniques

2023 IEEE 2nd International Conference on Industrial Electronics: Developments & Applications (ICIDeA)

Research paper thumbnail of Implementing Swam Intelligence for Image Enhancement: A Comparative Study

International Journal of Reasoning-based Intelligent Systems

Research paper thumbnail of Automatic Leaf Diseases Detection and Classification of Cucumber Leaves Using Internet of Things and Machine Learning Models

International Journal of Web and Grid Services

Research paper thumbnail of Classifications on wine informatics using PCA, LDA, and supervised machine learning techniques

International journal of work innovation, 2023

Research paper thumbnail of IoT-Based Employee Location Tracking with Google Maps using STM32 and ESP Microcontroller- A Technological Comparison

2022 1st IEEE International Conference on Industrial Electronics: Developments & Applications (ICIDeA)

Research paper thumbnail of India's Evolving Structure: Miles to go Before 2025

PalArch's Journal of Archaeology of Egypt / Egyptology, Nov 2, 2020

Research paper thumbnail of Real-Time Dog Detection and Alert System using Tensorflow Lite Embedded on Edge Device

2022 1st IEEE International Conference on Industrial Electronics: Developments & Applications (ICIDeA)

Research paper thumbnail of Performance Comparison of PCA and LDA with Linear Regression and Random Forest for IRIS Flower Classification

PalArch's Journal of Archaeology of Egypt / Egyptology, Nov 2, 2020

Research paper thumbnail of Computerized Green House Data Acquisition System Using Arduino with LabVIEW

In this paper, the design had been aimed for data acquisition of Green house environment. In gree... more In this paper, the design had been aimed for data acquisition of Green house environment. In green house we use multiple sensors to measure the parameters, here in this we used DHT11 sensor, soil moisture sensor etc. to make use of data for simulation or processing to achieve the better enhancement of growth in green house, this data has effect on the environment of green house, Graphical User Interface (GUI) had been used through LabVIEW Firmware of Arduino Uno as software and Arduino Uno board and sensors as hardware by using Arduino Uno board provides multiple analog input and digital I/O to made read data sensor easy to take temperature, humidity, CO2 gas, also measuring the soil moisture that needed for irrigation plants and the intensity of lights that applied for greenhouse . These parameters has the major effect on increase growth plants (1). The system for this purpose had been provided and given ability to control on environment of greenhouse

Research paper thumbnail of Research on the Development of a New Shop Application Using Android

Now a day’s Android are the best and the most popular operating systems for Smartphones. Smartpho... more Now a day’s Android are the best and the most popular operating systems for Smartphones. Smartphone comprise of an important features through which user can easily distribute applications via online market store. Usually, customers in retail stores stand in a queue to do the billing of the products they want to buy which makes the customers to wait for a long time till they reach to the billing person. As in this modern and fastidious world, each minute is valuable for us so, the Mobile Shopping application saves our estimable time by making the billing process faster. This paper composed of a new mobile Shop Application practiced for an Android Smartphones, meant for the sales persons of big retail stores. In this Android application, data is stored using SQLite which is a type of embedded database and is stored within a single file on a disk.

Research paper thumbnail of Review on Deep Learning Based Automatic Detection of COVID-19 from Chest-X Ray Images

Current Journal of Applied Science and Technology, 2021

The Global pandemic declared Corona Virus Disease (COVID 19) has affected severely tothe health o... more The Global pandemic declared Corona Virus Disease (COVID 19) has affected severely tothe health of human being over the globe. More than 15 crore around worldwide have been affected by the Novel Corona virus and it is progressing rapidly. Mainly in the health sector, the hospitals are not properly equipped with proper diagnosis system which can detect the disease accurately with less time consumption. The Chest X Ray image are taking less time and cost effective which can be used for detection of COVID 19 even the severity can also be determine form the CXR images. In the current research many researchers are focusing on implementation of Deep learning method for accurate and quick detection of COVID 19 which can help the radiologist for evaluation of the disease. In this review, proposed Deep learning methodology from the literature have been discussed with their experimental data set. This review could help to develop modified architecture which gives more improvement in the diagn...

Research paper thumbnail of Implementing swarm intelligence for image enhancement: a comparative study

International journal of reasoning-based intelligent systems, 2024

Research paper thumbnail of Internet of things-based remote monitoring and classification of <i>Spinacia oleracea</i> leaf disease using deep learning approach

International journal of web and grid services, 2024

Research paper thumbnail of Enhancing Healthcare with Edge AI for Analysis of Cough Detection

Research paper thumbnail of Internet of Things-Based Remote Monitoring and Classification of Spinacia Oleracea Leaf Disease Using Deep Learning Approach

International journal of web and grid services, 2024

Research paper thumbnail of Deep Learning and IoT for Detecting and Classifying Leaf Diseases in Agriculture 4.0: A Systematic Review

International Journal of Internet Manufacturing and Services, Dec 31, 2023

Research paper thumbnail of Integration of Cellular IoT for Greenhouse Monitoring, Controlling and Notification System

Research paper thumbnail of A novel steganography process using LSB technique with decoded text and speech output

International Journal of Multidisciplinary Research and Development, Apr 1, 2018

Research paper thumbnail of Facial Expression Recognition Using Python Using CNN Model

Current Journal of Applied Science and Technology, 2021

Facial expressions are a vital part of human life. Each day has a number of instances and all ins... more Facial expressions are a vital part of human life. Each day has a number of instances and all instances include numerous amounts of communication. Every communication expressed with emotion tells us about the state of the person. The interpersonal as well as security purposes are solved through facial expressions. The mischievous intention of a person can be caught by his expressions. The human mind can capture visual information faster. So, a machine recognizing it will be a challenge. As the saying goes- “A picture is worth a thousand words”- only when it is represented well. A machine being able to detect the atmosphere by the means of expression is less of a manual work. This paper detects the faces, extract the features as well classify them into different categories which ultimately lead to expression recognition. We evaluate our proposed method with the dataset which we used and the recall of angry, fear, happy, neutral, sad, and surprise is 60%, 31%, 84%, 22%, 57% and 58% re...

Research paper thumbnail of Prediction of Stock Price Using Machine Learning Techniques

2023 IEEE 2nd International Conference on Industrial Electronics: Developments & Applications (ICIDeA)

Research paper thumbnail of Implementing Swam Intelligence for Image Enhancement: A Comparative Study

International Journal of Reasoning-based Intelligent Systems

Research paper thumbnail of Automatic Leaf Diseases Detection and Classification of Cucumber Leaves Using Internet of Things and Machine Learning Models

International Journal of Web and Grid Services

Research paper thumbnail of Classifications on wine informatics using PCA, LDA, and supervised machine learning techniques

International journal of work innovation, 2023

Research paper thumbnail of IoT-Based Employee Location Tracking with Google Maps using STM32 and ESP Microcontroller- A Technological Comparison

2022 1st IEEE International Conference on Industrial Electronics: Developments & Applications (ICIDeA)

Research paper thumbnail of India's Evolving Structure: Miles to go Before 2025

PalArch's Journal of Archaeology of Egypt / Egyptology, Nov 2, 2020

Research paper thumbnail of Real-Time Dog Detection and Alert System using Tensorflow Lite Embedded on Edge Device

2022 1st IEEE International Conference on Industrial Electronics: Developments & Applications (ICIDeA)

Research paper thumbnail of Performance Comparison of PCA and LDA with Linear Regression and Random Forest for IRIS Flower Classification

PalArch's Journal of Archaeology of Egypt / Egyptology, Nov 2, 2020

Research paper thumbnail of Computerized Green House Data Acquisition System Using Arduino with LabVIEW

In this paper, the design had been aimed for data acquisition of Green house environment. In gree... more In this paper, the design had been aimed for data acquisition of Green house environment. In green house we use multiple sensors to measure the parameters, here in this we used DHT11 sensor, soil moisture sensor etc. to make use of data for simulation or processing to achieve the better enhancement of growth in green house, this data has effect on the environment of green house, Graphical User Interface (GUI) had been used through LabVIEW Firmware of Arduino Uno as software and Arduino Uno board and sensors as hardware by using Arduino Uno board provides multiple analog input and digital I/O to made read data sensor easy to take temperature, humidity, CO2 gas, also measuring the soil moisture that needed for irrigation plants and the intensity of lights that applied for greenhouse . These parameters has the major effect on increase growth plants (1). The system for this purpose had been provided and given ability to control on environment of greenhouse

Research paper thumbnail of Research on the Development of a New Shop Application Using Android

Now a day’s Android are the best and the most popular operating systems for Smartphones. Smartpho... more Now a day’s Android are the best and the most popular operating systems for Smartphones. Smartphone comprise of an important features through which user can easily distribute applications via online market store. Usually, customers in retail stores stand in a queue to do the billing of the products they want to buy which makes the customers to wait for a long time till they reach to the billing person. As in this modern and fastidious world, each minute is valuable for us so, the Mobile Shopping application saves our estimable time by making the billing process faster. This paper composed of a new mobile Shop Application practiced for an Android Smartphones, meant for the sales persons of big retail stores. In this Android application, data is stored using SQLite which is a type of embedded database and is stored within a single file on a disk.

Research paper thumbnail of Review on Deep Learning Based Automatic Detection of COVID-19 from Chest-X Ray Images

Current Journal of Applied Science and Technology, 2021

The Global pandemic declared Corona Virus Disease (COVID 19) has affected severely tothe health o... more The Global pandemic declared Corona Virus Disease (COVID 19) has affected severely tothe health of human being over the globe. More than 15 crore around worldwide have been affected by the Novel Corona virus and it is progressing rapidly. Mainly in the health sector, the hospitals are not properly equipped with proper diagnosis system which can detect the disease accurately with less time consumption. The Chest X Ray image are taking less time and cost effective which can be used for detection of COVID 19 even the severity can also be determine form the CXR images. In the current research many researchers are focusing on implementation of Deep learning method for accurate and quick detection of COVID 19 which can help the radiologist for evaluation of the disease. In this review, proposed Deep learning methodology from the literature have been discussed with their experimental data set. This review could help to develop modified architecture which gives more improvement in the diagn...