
Nalini Kanta BarpandaSambalpur University · Electronics
Nalini Kanta Barpanda
BE, ME, PhD
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Publications
Publications (69)
In the realm of image-based breast cancer detection and severity assessment, this study delves into the revolutionary potential of sophisticated artificial intelligence (AI) techniques. By investigating image processing, machine learning (ML), and deep learning (DL), the research illuminates their combined impact on transforming breast cancer diagn...
In agricultural applications, the utilization of image processing with machine learning,
particularly for fruit classification, has become increasingly prevalent. This study focuses
on the automated classification of various Indian mango varieties, employing the deep
features of MobileNet-v2 and Shufflenet, integrated with diverse machine learni...
p> The extensive relevance of digital forensics in today's data-driven environment has been emphasized in this article. The free software and the commercial software community are debatable, despite users and developers often differing views on important topics like software safety and usability. This article primarily uses pre-defined criteria and...
With the rise of the fruit processing industry, machine learning and image processing have become necessary for quality control and monitoring of fruits. Recently, strong vision-based solutions have emerged in farming industries that make inspections more accurate at a much lower cost. Advanced deep learning methods play a key role in these solutio...
Breast carcinoma or breast cancer is the most common type of cancer in women. It is very dangerous, and early detection is important for proper diagnosis and reduction of mortality rate. Cancer starts in a benign state, and if there is no proper treatment, it becomes malignant. Computer-aided diagnosis (CAD) techniques can be used for early detecti...
Breast cancer tissues grow when cells in the breast expand and divide uncontrollably, resulting in a lump of tissue commonly called and named tumor. Breast cancer is the second most prevalent cancer among women, following skin cancer. While it is more commonly diagnosed in women aged 50 and above, it can affect individuals of any age. Although it i...
Early diagnosis is crucial for the treatment of breast cancer, the most prevalent disease in women globally. Segmenting cancer cells from photographs of breast tissue is an important first step in the assessment of breast cancer. Here, we propose a deep neural network that uses attention to aid in the separation of breast cancer cells. The proposed...
India is the second-largest fruit producer in the world. But fruit identification, classification, and grading are carried out manually. Hence, most of the harvested fruit was wasted due to human perception subjectivity because there needed to be more qualified workers. Therefore, the fruit sector must impose an automated fruit detection system to...
The papaya (Carica papaya L.) is a tropical fruit with high commercial value due to its superior nutritional and therapeutic properties. Papayas must be packaged in the fruit industry according to their degree of ripeness. Physically grading papaya fruit using human vision is time-consuming and destructive. A brand-new, non-destructive classificati...
The internet community is the only set of irreplaceable spaces in today's world and is used by millions for knowledge acquittance via the digital exchange between the landed gentry. The torrent of available e-contents in the Internet community attracts corporates and researchers to find the factual weightage of formed data. It is high time for digi...
Defect discrimination is a crucial factor in evaluating the quality of mango. The flaw mark on the flesh remark about the defunctness of mango fruit. The internal defect of mango fruit is often directly proportionate to the area of flaw marks on the skin. The defect discrimination of mango fruit manually with respect to the area of flaw marks is ch...
Immediately following mango, the banana (Musa sp.) is India’s second most important fruit crop. Once again, bananas are the most important fruit in worldwide trade and the most widely consumed, ranking second only to citrus in terms of value after apples. The size, colour, and ripeness of the fruits are the primary factors in grading. The grading o...
This paper focuses on maximizing the reliability of multistate flow network(MFN) by meeting the demand to flow from source to destination. The reliability maximization problem is formulated considering the different flow state of the edges and their corresponding existence probabilities. A method based on genetic algorithm is proposed to maximize t...
Image-based features of breast cancers have an important role in clinical prognostics, such as grading breast invasive carcinoma (BIC). Magnification is useful for investigating poorly defined abnormal tissue present in mammogram images. But, the disadvantage of viewing at a higher magnification is that less of the slide can be viewed. So, the ques...
Complexity in network topologies and designs is rising, leading to the greater use of artificial intelligence and learning in the network control layer. The secret to efficient global activity for large-scale social constructivist platforms is deciding how to deploy intelligence. For deployment models (unified vs. ununified) to produce the best per...
To fulfil the ever-increasing demand of the modern generation, various technologies are developed so that the communication becomes faster and efficient. Free Space Optics has proved to be a great boon to the modern world. FSO is the basis behind the idea of safe optical wireless communication. It offers an unsurpassed reliability and high-speed co...
Breast cancer is one of the leading causes of death for women worldwide. Deep convolutional neural network-supported breast thermography is anticipated to contribute substantially to early detection and facilitate therapy at an early stage. This study aims to examine how several cutting-edge deep learning techniques with feature fusion behave when...
The present paper focuses on one-dimensional silicon grating to realise efficient interconnects at three optical communication windows. The mechanism of the present research relies on the diffraction, reflection, absorption and dispersion (RAD) analysis. Further dispersion depends on the polarisation, waveguide and material properties. The reflecti...
In this study, an automated panicle blast grading methodology using support vector machine based on deep features of small convolutional neural network (CNN) is suggested. MobileNetV2 and ShuffleNet are the two small and powerful architecture among CNN. The transfer learning and deep learning approach are adapted for
MobileNetV2 and ShuffleNet for...
Nitrogen (N) concentration is a significant parameter to check the status of health in rice crop. Nitrogen (N) plays an essential role in the growth and productivity of rice plant. This paper proposes a convolutional neural network (CNN) based approach for prediction of rice nitrogen deficiency. The pre-trained CNN architecture is modified to impro...
span lang="EN-IN">Rice false smut is one of the most dangerous diseases in rice at the ripening phase caused by Ustilaginoidea Virens. It is one of the most important grain diseases in rice production worldwide. Its epidemics not only lead to yield loss but also reduce grain quality because of multiple mycotoxins generated by the causative pathogen...
In free space optics (FSO) optics, the tweaked optical sign is transmitted at different climate conditions like day off, Mist, and Haze, which is a new paragon to the field of optical communication. Further to realize the same, the present research analyzes the framework performance by executing two adjustment strategies amplitude shift keying (ASK...
Rice false smut is one of the most dangerous diseases in rice at the ripening phase caused by Ustilaginoidea Virens. It is one of the most important grain diseases in rice production worldwide. Its epidemics not only lead to yield loss but also reduce grain quality because of multiple mycotoxins generated by the causative pathogen. The pathogen inf...
In this modern era of communication optical fiber has emerged as an effective and viable mode for communication. Although optical fiber communication lot of advantages, dispersion is the main performance limiting factor. Dispersion severely degrades the performance of optical fiber. There are various methods for dispersion compensation.This researc...
The information exchange is one of the important aspects of a modern and improved life. Nowadays every component such as home appliances, vehicle, and grocery everything is equipped with sensors or RFID, which are communicating with each other over Wi-Fi technology. The occupancy of the internet in day-to-day objects introduces the concept called t...
The uncertainty involved in any problem solving situation is a result of some information deficiency, which may be incomplete, imprecise, fragmentary, not fully reliable, vague, contradictory, or deficient in some other ways. This paper presents a new and simple method for evaluating the fuzzy reliability of cube based computer networks. An algorit...
Uncertainty affects decision-making and appears in a number of different forms. The effects of uncertainty in a system can be handled in a better way by using fuzzy logic. This paper presents a new and simple method for evaluating the fuzz y reliability of loosely coupled interconnection networks. A new algorithm to evaluate the fuzzy reliability h...
The network Reliability optimization problem for any type of interconnection network is to maximize the network reliability subjected some constraint such as the total cost of the network. Even though, the problem is NP-Hard, many researchers have solved this problem in different ways but with a common assumption that nodes are perfect. But, this a...
Farmers in rural India have minimal access to agriculture aspect that can inspect paddy crop images and provide advice. Expert advice responses to queries often reach farmers too late. The disease in paddy crop mostly affects leaf and panicle. The disease that affects the panicle is more severe than the other parts of the paddy crop, as it directly...
Over the past decades, rice crops are crucially admitted as one of the powerful energy streams for the production of resources. Rice plant diseases are considered as a raising factor behind the agricultural, economic and communal loss in the upcoming development of the agricultural field. Since last 10 years diagnosis of plant disease in approach t...
The information exchange is one of the important aspects of modern and improved life. Nowadays every component such as home appliances, vehicle, and grocery everything is equipped with sensors or RFID, which are communicating with each other over Wi-Fi technology. The occupancy of the internet in day-today objects introduces the concept called the...
In Rice crop, (Oryza sativa) the Nitrogen & Chlorophyll contents can be estimated by Leaf Color Chart (LCC) for proper prescription about the Fertilizer. Comparing the visual attributes with the LCC is not same always. The accuracy is affected by human color perception. This paper proposes development of a Web/Android based application called “n4ri...
Congestion is an important issue in cable network where transmitted packets to the network are much more than holding capacity of network. Each network needs the maximum number of successful packets to reach the destination with less number of packet losses and low time delay with better fairness. There are several congestion control algorithms whi...
In India the economic, political and social stability depend directly as well as indirectly on the annual production of rice. The income of hundreds of millions of people depends only on rice production and nothing else. However, as per the report of International Rice Research Institute (IRRI), 37% of the rice yield loss is due to diseases. In thi...
Nitrogen is the main component among all nutrients for rice crop growth and production. The leaf nitrogen concentration (LNC) is highly correlated with chlorophyll content. There are many devices like Leaf Color Chart (LCC), SPAD, at LEAF+ for measurement of chlorophyll &/ or nitrogen. As these devices are cost effective and unavailable with all fa...
On this paper, Bayesian Regularized Artificial Neural Network (BRANN) model was developed to detect rice disorders using the properties of the affected leaves. The work involves identifying healthy leaf and four types of disease, such as brown spot (BS), bacterial blight (BB), Leaf scald & Leaf blast (LB). The BRANN model was experimented with 100...
Rice covers about 69% of the cultivated area and is the major crop, covering about 63% of the total area under food grains. It is the staple food of almost the entire population of Odisha. Therefore, the state economy is directly link with improvements in production and productivity of rice in this state. Almost 1.10 lakh acres of farmland across t...
In the process of pre-deployment decision-making, an emulation-assisted system model can quickly become unrealistic for evaluating complex message channels. Over the years, many strategies have been employed for transport support and management. However, recent attention over intelligent SMART based (self-monitoring, analysis and reporting techniqu...
The disease in rice crop reduced the quality and quantity of production and mostly affect in leaf and panicle. The disease affect to the panicle is more severe than the other part of the paddy crop as it directly hampers the production. Detection and grading of rice panicle blast is required as prior condition for rice disease controlling. In this...
Rice covers about 69% of the cultivated area and is the major crop, covering about 63% of the total area under food grains. It is the staple food of almost the entire population of Odisha; therefore, the state economy is directly linked with improvements in production and productivity of rice in the state. The main barrier of production of rice in...
Rice is the most important human food crop in the world, directly feeding more people than any other crop. Rice crop contains different types of nutrients. Sometime due to deficiency of nutrition, rice crops undergo in a hindrance effects on its growth and production. Nitrogen is the main component among all nutrients for rice crop growth and produ...
Chalkiness is an important characteristic to investigate the quality of rice. Chalky rice degrades the value of rice because of the undesirable appearance in rice. The chalky rice deteriorates the eating quality, as it absorbs water more rapidly during cooking. Traditionally the chalkiness evaluation was performed by expert persons. In this paper,...
This study was conducted to develop a prototype which computes the severity of diseases appears in the rice crop using machine learning and computational intelligence. The symptoms of rice crop diseases imply the seriousness of the disease and suggest choosing the best approach to dealing with the disease. Most of the diseases in rice crop appear a...
Indian agriculture is overwhelmed by numerous complications; some of them are usual and some others are artificial like Small and fragmented land-holdings, Seeds, Manures, Crop selection, Crop planning, Fertilizers and Biocides, Irrigation, Lack of mechanization, Soil erosion, Agricultural Marketing, Inadequate storage facilities and so on. With th...
To setup a quick, error free and feasible method for diagnosing rice crop nutrition is very necessary for nutritional management. In this paper the support vector machine in approach of K-Means and Fuzzy C-Means clustering is used to identify mineral deficient leaf of Rice Crop. The images are collected from the database of International Rice Resea...
Horti-Agricultural industry is demanding technological solutions focused on automating agricultural tasks in order to increase the production and benefits while reducing time and costs. Technological advances in precision agriculture have an essential role and enable the implementation of new techniques based on sensor technologies and image proces...
In Odisha Rice is synonymous with food; agriculture in Odisha to a considerable extent means growing Rice. Rice covers 69 % of cultivated area and is the major crop covering about 63% of total area under food grains. It is the staple food of almost entire population of Odisha; therefore the state economy is directly affected by the improvement in p...
In today's world of communication optical fiber has emerged as an distinctive and prevalent mode for communication. Optical fiber communication has lots of advantages such as high data transmission, easy maintenance etc. But it has some constraints and dispersion is the main performance limiting factor. Dispersion severely hampers the performance o...
In this modern era of communication optical fiber has emerged as an effective and viable mode for communication. Although optical fiber communication lot of advantages, dispersion is the main performance limiting factor. Dispersion severely degrades the performance of optical fiber. There are various methods for dispersion compensation.This researc...
There has been increasing demand for connection setup with a higher quality of service (QoS) in WDM/DWDM networks, especially in fields like radio over fiber, where phase modulation affects the link quality. Hence to meet guaranteed QoS in a phase modulated link, the effects of phase modulation on link quality are very much needed. The link quality...
A cube based interconnection network is used to interconnect a large number of standalone processors. The cube based networks have been extensively used in multicomputer systems. As the interconnection network in a communication system cannot be implemented directly with commodity components as its design impacts critically on the performance and c...
This paper iOntroduces a new method based on multi-decomposition for predicting the two terminal reliability of fault-tolerant multistage interconnection networks. The method is well supported by an efficient algorithm which runs polynomially. The method is well illustrated by taking a network consists of eight nodes and twelve links as an example....
The network reliability optimization problem for an interconnection network is to maximize the network reliability subjected to some constraints such as the total cost of the network. Even though, the problem is NP-Hard, many researchers have solved this problem in different ways but with a common assumption that nodes are perfect. But, this assump...
This paper introduces a new method based on multi-decomposition for predicting the exact reliability of fault-tolerant multistage networks. The method is well supported by an efficient algorithm which runs polynomially. The proposed method is found to be simple, general and efficient and thus is as such applicable to all the fault-tolerant multista...
Summary This paper defines a new measure of reliability called Residual Broadcast Reliability for fault-tolerant multistage interconnection networks. A new and simple method for evaluating the Residual Broadcast Reliability of multistage interconnection networks (MIN) is proposed. A new algorithm to evaluate the Residual Broadcast Reliability has b...