Volume 11 | Issue 9 |

 Abstract

Microscopic image analysis plays a significant role in initial leukemia screening and its efficient diagnostics. Since the present conventional methodologies partly rely on manual examination, which is time consuming and depends greatly on the experience of domain experts, automated leukemia detection opens up new possibilities to minimize human intervention and provide more accurate clinical information. This paper proposes a novel approach based on conventional digital image processing techniques and machine learning algorithms and deep learning algorithms to automatically identify acute lymphoblastic leukemia from peripheral blood smear images. The proposed model eradicates the probability of errors in the manual process by employing deep learning techniques, namely convolutional neural networks. The model, trained on cells' images, first pre-processes the images and extracts the best features. This is followed by training the model with the optimized Convolutional neural network framework (termed CNN here) and finally predicting the type of cancer present in the cells. The model was able to reproduce all the measurements correctly while it recollected the samples exactly 94 times out of 100. The overall accuracy was recorded to be 97.2%, which is better than the conventional machine learning methods like Support Vector Machine (SVMs), Decision Trees, Random Forests, Naive Bayes, etc. This study indicates that the CNN model's performance is close to that of the established CNN architectures with far fewer parameters and computation time tested on the retrieved dataset. Thus, the model can be used effectively as a tool for determining the type of cancer in the bone marrow. To overcome the greatest challenges in the segmentation phase, we implemented extensive pre-processing and introduced a three phase filtration algorithm to achieve the best segmentation results.

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 Keywords

CNN architectures, leukemia, CNN model's and hematologists

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Health is a major issue that draws everybody's attention, particularly that of women dwelling in slums. Slum, a synonym for unhealthy environment presents a distinct set of health problems. High population density and the poor environmental condition make the slums a major reservoir for a wide spectrum of adverse health conditions; communicable, non-communicable and chronic diseases. Women's health in urban slums calls for immediate attention in Urban slums because the constricted lifestyle and responsibilities makes them neglect their general and reproductive health. In this context on attempt as need to examine the health status of women living Visakhapatnam slum areas. The present work is a cross-sectional study designed to examine the perceived and the actual health status and health practices of women in Visakhapatnam slums. The major findings while assessing comprehensive women's health outcomes include lack of education, financial constraints, conventional religious beliefs, and lack of awareness about government schemes. With the rapid increase in urban population, the government's challenge is provision of safe sanitation facility, proper medical facilities in slums, conduct awareness programmes to educate women how to monitor their health and publicity of government schemes.

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 Keywords

Slum, general health, reproductive, and chronic health, awareness

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the cutting-edge virtual age, virtual advertising has revolutionized the manner in which agencies interact with clients, making use of online systems and generation to sell their products and services. Customer consciousness of digital advertising strategies is of paramount significance because it no longer only empowers individuals to make knowledgeable choices but also considerably affects marketing strategies and commercial enterprise success. This study was conducted at Assam Agricultural College in Jorhat District with a random sample of 200 respondents surveyed via dependent interviews and mail questionnaires. Findings revealed a powerful choice for virtual marketing among purchasers, with eighty favoring it over traditional advertising strategies, reflecting the evolving patron panorama where virtual channels play a pivotal function in shaping purchasing choices. Drastically, people aged 20 to 40 exhibited the highest focus tiers, underscoring the significance of tailoring advertising and marketing content for this tech-savvy demographic. Moreover, the look at emphasized the need for training campaigns and targeted advertising to beautify customer cognizance of the manifold blessings presented via digital advertising and marketing. A heightened attention to virtual advertising and marketing empowers purchasers with access to precise product data and enables fee-aware decisions. Complements product discoverability and evaluation and gives access to reductions and promotions for companies. Those advantages translate into more powerful marketing campaigns. Step forward purchaser engagement and higher conversion prices. Future research endeavors should delve into gender-based total choices in digital marketing, imparting possibilities for further refinement of advertising and marketing strategies and, in the long run, helping businesses optimize their strategies within the ever-evolving virtual landscape.

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 Keywords

Digital marketing, analysis, awareness, consumer, purchase

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Creative Commons Attribution 4.0 and The Open Definition

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Organic agriculture in Himachal Pradesh has gained momentum driven by a combination of compelling factors. This paper explores the motivating factors behind the increasing adoption of organic farming practices in the region. Farmers in Himachal Pradesh are embracing organic methods due to concerns about health and the environment, seeking alternatives to synthetic chemicals, and recognizing the economic benefits associated with organic produce. Soil health and long-term sustainability are central considerations, as organic farming prioritizes soil fertility and ecosystem restoration. Furthermore, reducing dependence on imported inputs and ethical commitments to biodiversity conservation play pivotal roles in this transition. The paper also suggests measures to strengthen organic farming in Himachal Pradesh, emphasizing awareness campaigns, government support, market development, research for regional adaptation, policy integration, and reducing reliance on inorganic fertilizers. By implementing these measures, Himachal Pradesh can further promote and fortify organic farming practices, contributing to sustainable agriculture, improved livelihoods, and a healthier environment. Organic farming in Himachal Pradesh presents a promising path toward a more ecologically responsible and economically viable agricultural future.

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 Keywords

Organic farming, Himachal Pradesh, Sustainable Agriculture, Motivating Factors, Government Initiatives

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Creative Commons Attribution 4.0 and The Open Definition

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Depression, chronic lower Back pain

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Creative Commons Attribution 4.0 and The Open Definition

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In this Article, we are focusing on PMJDY account holder and Awareness Level in people of Krishna District. The PMJDY is an excellent financial inclusion tool to raise the living standard of the people . During the study, we could find that very less percentage of people are aware of PMJDY. We could also find that most of the population of that district is illiterate and earns living by daily wages, so they weren't the people who reach the bank for services. Therefore, the Government of India should take initiatives in reaching the common people and making them awake about the scheme by conducting and organizing more awareness programs and running the financial literacy campaigns often. To reach this goal, Government should make the banks as their active agent in dispersing the benefits of this scheme and successfully meeting the objective of PMJDY and making the better impact on the lives of the people of underprivileged for socio economic development as well.

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 Keywords

PMJDY, Awareness, Population

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Indian Blackberries (Syzygium Cumini), commonly known as jamun or black plum, are a popular fruit in India, it is small, dark purple to black fruit, valued for its distinct taste and medicinal properties. The determination of fruit maturity is a critical aspect of agricultural practices, impacting fruit quality, harvest timing, and market value. Proposed study explores an innovative approach to non-destructive maturity detection using image processing techniques. High-resolution images of Indian blackberries at various ripeness stages are analyzed for color and texture features. Here, Segmentation plays an important role and it is performed by using Threshold method. Using the Randomizable Filtered classifier it classifies the fruit into distinct maturity levels with accuracy level of 96.61%. Proposed research offers a promising solution to enhance the precision of blackberry harvesting, minimize post-harvest losses, and support informed decision-making for growers, contributing to the sustainable cultivation of Indian blackberries and improved fruit quality for consumers.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Blackberries, correlation, entropy, homogeneity, energy, maturity, immature, classifier, Randomizable Filtered.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Color management in manufacturing, textiles, and other industries is revolutionized by the Intelligent Color Monitoring and Matching System (ICMMS). Modern algorithms, computer vision, and data analysis are employed to guarantee precise color consistency. From raw materials to packaging, ICMMS monitors color and instantly spots inconsistencies and flaws. Real-time analytics, adaptability, waste minimization, and configurable reporting are important characteristics. ICMMS raises productivity and product quality, increases industry standards for color management and quality control, and integrates seamlessly with current systems.

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 Keywords

Computer Vision, Color Management,Data analysis , Raises Productivity, Waste minimization.

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Creative Commons Attribution 4.0 and The Open Definition

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The study attempted to explore the perception of parents on their children's wellbeing in the light of Mowder's theory. This study collected insight from the parents of adolescent children. Ten parents of the adolescents participated in this study. The qualitative research design was employed to find out the different perceptions of the parents about their child. This research was done using semi-structured open-ended interview and the data collected was transcribed and analysed by collect data and thematic analysis. The study is a relevant one in the present society because this will promote the parents to understand about the mental, physical and emotional development of the child and helps their child to exhibit optimistic and confident social behaviours and this may lead the children to have a positive wellbeing.The study attempted to explore the perception of parents on their children's wellbeing in the light of Mowder's theory. This study collected insight from the parents of adolescent children. Ten parents of the adolescents participated in this study. The qualitative research design was employed to find out the different perceptions of the parents about their child. This research was done using semi-structured open-ended interview and the data collected was transcribed and analysed by collect data and thematic analysis. The study is a relevant one in the present society because this will promote the parents to understand about the mental, physical and emotional development of the child and helps their child to exhibit optimistic and confident social behaviors and this may lead the children to have a positive wellbeing.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Parents, Parental Perception, Adolescent Children, Well-being.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In our paper, we redesign the AI - managed irrigation system for controlled application of water to get maximum yield with automatic regulation of valves. Here, we use soil moisture sensor, acoustic rain sensor as sensing device. It collects the input data like soil moisture value, soil temperature. The input data will be then processed using ARM Cortex. ARM, microprocessor sends the processed data to the AI system. On the other hand, the processed data is stored in cloud database and displayed in webpage. MySQL database is used as a source of database. The processor is connected to cloud using Wi-Fi module. Here, AI system is used for better decision making and initiation of motors and valves. It has preset timers and prehistoric database. It commands the control mechanism of valves and motors after the comparison of real time data with prehistoric database. This will in turns helps in controlling the application of water and prevents the environmental degradation. And, thus the proposed paper of redesigning the AI - managed irrigation system is expected to provide maximum yield with precise amount of water in a well effective way.

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 Keywords

Keywords: Irrigation system, automatic valves, artificial intelligence, cloud database.

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Creative Commons Attribution 4.0 and The Open Definition