Volume 10 | Issue 5 |

 Abstract

Because of the complicated structure of brain tumours, indistinct boundaries, and external influences such as noise, inferring tumour and edoema areas from brain magnetic resonance imaging (MRI) data remains difficult. This work proposes an effective hybrid clustering technique combined with morphological procedures for segmenting brain tumours to reduce noise sensitivity and increase segmentation stability. The following are the paper's main contributions: To begin, adaptive Wiener filtering is employed for denoising, then morphological processes are used to remove non-brain tissue, effectively lowering the method's noise sensitivity. Second, to segment images, K-means++ clustering is merged with the Gaussian kernel-based fuzzy C-means method. This clustering enhances the algorithm's stability while simultaneously lowering the sensitivity of the clustering settings. Finally, to acquire realistic representations of brain tumours, the retrieved tumour images are post processed utilising morphological procedures and median filtering. The suggested technique was also compared to other existing segmentation algorithms. The suggested algorithm outperforms the competition in terms of accuracy, sensitivity, specificity, and recall.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

MRI, Kmeans, cluster, segmentation, morphological

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Equality, Female, Gender, Identity, Performativity

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Tuberculosis is the principle purpose of morbidity in modern-day generation and got here to existence many decades in the past and has emerged as pandemic sickness. the use of allopathic medicinal drug in complicated sickness like tuberculosis is related to the hassle of pass resistance and natural pills have proven to be simplest in this context. The exploration of cures for the a success attenuation of the morbid circumstance associated with tuberculosis is the need of the day.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Acalypha indica , Adhatoda vasica , Allium cepa , Allium sativum , Aloe vera , Tuberculosis , Mycobacterium .

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

India is an Agriculture based economy whose most of the GDP comes from agriculture and its allied sectors which accounts for 20% of total GDP. The motivation of this project comes from the increasing suicide rates in farmers which may be due to low yield in crops. Climate and other environmental changes have become a major threat in the agricultural field. Machine learning is an essential approach for achieving practical and effective solutions for this problem. Predicting yield of the crop from historical available data like weather, soil, rainfall parameters and historic crop yield. We aim to achieve this using the machine learning algorithm. We did a comparative study of various machine learning algorithms, i.e., ANN, K Nearest Neighbor, Random Forest, SVM and Linear Regression. In this project a mobile application will be developed which predicts the crop yield in general and also for a particular crop. Along with that, it will suggest to the user which crop to grow in that particular season.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Crop Yield Prediction

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The goal of this study is to determine the impact of digital marketing on FMCG product purchasing behaviour in Greater Noida. There are several studies revealing causes to use social media and to assist firms in gaining a competitive advantage in the move; however, few plan to think from the perspective of consumers. Over the last few years, social media has revolutionized the way businesses do business using computers online, and as a result, social media marketing has earned its own identity in the business world. There are numerous online social networking platforms that influence customer behaviour. Like Google+, LinkedIn, and YouTube, for example. Nowadays, practically all ages of consumers use social media, including college students, working-class individuals, and even the elderly. In today's world, social media has evolved into a powerful tool that consumers can utilize to make purchasing decisions. Consumers' lives have been altered by technological advancements. In general, customers have unique feelings that differ from what marketers believe. For example, what "brand interaction" via social media looks like to shoppers may differ from what marketers believe. Digital technology has become a vital element of society's daily lives, both professionally and personally. In India, consumer demand for FMCG products has risen as a result of digitization. In the virtual world, digital technology has provided an interactive source of platform where people may buy things and services. In a customer-oriented market environment, consumer purchase patterns are evolving at a faster rate. The rise of digital marketing trends is having a significant impact on consumer purchasing behaviour.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Digital Marketing, Online buying, Consumer behavior, FMCG products.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Diabetes is an illness that is caused by a hormone called insulin in our body which when not functioning properly or not efficiently will raise the level of glucose in our body. There are many individuals who suffer from high blood sugar levels in their body which has a severe effect on other human organs. This condition is caused by an unhealthy lifestyle or food habits and lack of physical exercise. This will also lead to other complications such as coronary failure, blindness, urinary organ disease, etc. In such instances, the individual must visit a diagnostic center to collect their reports. Due to this, there is a loss of time and money in this process. As a solution for this problem, we can use Machine Learning methods to arrive at a solution to this issue, we have got advanced system mistreatment information processing that has got the potential to inform us whether the individual has got the disease or not. In addition to this, an early prediction of this disease will help in controlling it as well as be able to take precautions for its after-effects. Information withdrawal has the pliability to delete unseen data from a large dataset of diabetes information. The aim of our project is to predict illness in its early stages with better accuracy so that the risk factor is comparatively less. The model is based on methods such as Decision Tree, Random Forest, and Support Vector Machine algorithms.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Diabetes Disease Prediction, Support Vector Machine, Machine Learning, Random Forest, Decision Tree

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Stroke, kinovea, knee joint kinematics, gait analysis.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This project proposes fault distance locator model for underground power cable using an Arduino uno microcontroller. The use of underground cables arises a problem of identifying the fault location and the distance of cable fault as it is not open to view as in case of overhead cable. Thus, the underground cable fault distance locator is developed to detect the exact fault location and the distance of underground cable fault from based station in kilometers as the system will detect the faulted cable on underground and will send the information to the control room by using IOT cloud. A 16x2 LCD display is connected to the microcontroller to display the information. In case of fault the voltage across series resistors changes accordingly, which is then fed to a microcontroller ADC pin to develop precise digital data to a programmed Arduino microcontroller that further displays exact fault location from base station in kilometers. Same information will update on IOT cloud. Incidents of underground cable faults in the distribution and power transmission system is unpreventable due to several reasons thus a rapid rectification and Therefore, automatic fault location is used to minimize the time to mend faults to make system reliable by figuring out the weak areas quickly which results into decreased restoration time and interruption.Proper fault locating and detecting approaches are required to diminish the intervention time fault and an improvement in reliability.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Arduino UNO, Underground cable, fault, microcontroller, IOT, Cloud, LCD, reliability

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The self assembly of non-ionic surfactant into vesicles was first reported in the cosmetic industry. In recent years, it has been discovered that these vesicles can improve the bioavailability of encapsulated drug & provide therapeutic activity in a controlled manner for a prolonged period of time, niosome are vesicles composed of non-ionic surfactant which are biodegradable relatively non- toxic more stable & inexpensive, an alternatives to liposomes. This review describes all aspects of niosome including their structure, components, types, the various methods of preparation, loading methods, characterization, their use by various routes of administration, its application in chemical drugs, protein drugs & gene delivery and many more .

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Niosomes, structure, composition, non-ionic surfactant, types, methods of preparation, loading methods, application

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the field of electrical and magnetism, the LCR circuit is an important element. Complex numbers and trigonometric identities are widely used in the theory of electric circuits. The entire set of equations is tough to remember and simplify. There are several equations and principles to remember. They're all working for LCR, and the whole situation is more intricate than it was before. As a result, comprehending resonance phenomena in LCR circuits is a difficult task. The purpose of this paper is to demonstrate how to use wxMaxima software to make solving mathematical problems simple easy and interesting.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

wxMaxima, LCR circuit, resonance.

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Creative Commons Attribution 4.0 and The Open Definition