Volume 12 | Issue 6 |

 Abstract

One area that significantly affects people's quality of life and financial situation is agriculture. Poor management causes agricultural goods to be lost. This method uses a deep neural network, an alternative to a regular neural network, to identify leaf diseases. This makes it simple to identify leaf disease. The user can upload a picture of a leaf first, and the image will be uploaded on the screen. Next, click the button to analyse the image. A leaf's state of health can be determined by the disease and shown. The leaf image shows the presence of the illness. Utilizing an accessible dataset of 1500 images of solid and ill plants, this work characterizes crop species and determines the disease status of three different groups using deep convolutional systems and semi-supervised approaches.

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 Keywords

Image analysis, Semi-Supervised Approaches, Crop Species Classification, Disease Identification.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper presents an enhanced approach for detecting and assessing the severity of COVID-19 from chest X-ray (CXR) images using a modified VGG16 architecture integrated with an attention mechanism. The attention layer, placed strategically after the Conv4_3 layer, enables the network to focus on critical regions, improving sensitivity and specificity. The model was trained on a combined dataset, achieving an accuracy of 94% and a Root Mean Square Error (RMSE) of 0.95 for severity prediction. These results highlight the model's superior performance in distinguishing between COVID-19 infected and normal cases and in providing accurate severity assessments. Comparative analyses demonstrate the model's efficacy over other retrained models, ensuring minimal false positives and accurate COVID-19 detection. This modified VGG16 model represents a significant advancement in medical image analysis, offering a reliable tool for real-time clinical applications in diagnosing and managing COVID-19.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

COVID-19 Detection, Chest X-ray (CXR) Analysis, VGG16 Architecture, Attention Mechanism, Severity Assessment

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Upgrading pictures in low light is a troublesome undertaking that has earned a great deal of revenue. Low-light photography every now and again delivers pictures with poor visual quality. We approach the low-light upgrade as a leftover learning issue, i.e., assessing the lingering between photographs taken in low-and typical light circumstances. We present a one of a kind Deep Lightening Network (DLN) in this review, which profits by the ongoing advances in Convolutional Neural Networks (CNNs). There are numerous Lightning Back Projection (LBP) blocks in the proposed DLN. The LBPs gain proficiency with the lingering for ordinary light gauges by iteratively performing lighting up and obscuring activities. Furthermore, we present a Feature Aggregation (FA) block that adaptively blends the results of a few LBPs to utilize the nearby and worldwide highlights ideally. We test the recommended approach utilizing a few datasets. In view of goal and emotional markers, our recommended DLN philosophy performs better compared to elective methodologies, as per mathematical information.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Low-Light Image Enhancement, Deep Learning, Residual Learning, Deep Lightening Network (DLN).

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Laplace transform is very efficient method for solving ordinary differential equations. There are many mathematical models arising in engineering in the form of ordinary differential equations. The motive of this paper is that a scientific review on solving some ordinary differential equations using Laplace transform method.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Laplace Transform, Linear Ordinary Differential Equations, Initial Value Problem

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Peripheral ossifying fibroma is a benign neoplastic inflammatory hyperplasia that is a reactive proliferative lesion of periodontal tissues that arises mostly from interdental papillae of gingiva in response to chronic mechanical irritation..This case report was focused on a case of peripheral ossifying fibroma involving interdental papilla between 21 & 22 on the labial aspect in a 12 year old female patient.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Gingiva, Peripheral ossifying fibroma, Reactive proliferative lesion.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This agricultural project leverages advanced sensor nodes, including BME280 and soil moisture sensors, to revolutionize farming practices. Integration of LoRa technology establishes a robust communication backbone for real-time data transmission. The BME280 sensor provides essential weather data, while soil moisture sensors optimize irrigation. The LoRa-enabled system, with a centralized hub, ensures efficient data collection and management. Remote monitoring through a web application empowers farmers, and the ESP8266 enhances connectivity for remote data storage. The incorporation of a weather API enhances environmental data accuracy, offering a holistic approach to precision agriculture.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

LoRa, BME280, ARDUINO, Weather API

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The role of a housewife, or homemaker, is often overlooked in societal discourse, yet it encompasses a myriad of responsibilities that profoundly influence psychological well-being. This article explores the psychology of housewives, shedding light on the challenges they face and the implications for their mental health. Drawing on research and psychological theories, this paper delves into identity struggles, stress and burnout, emotional labour, social isolation and lack of peer support and financial dependence as key factors contributing to depression and distress among housewives. By understanding these complexities and implementing strategies to support their well-being, housewives can be empowered to navigate their roles with resilience and fulfilment.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Housewife, Home-maker, Distress, Depression, Identity, Depression, Lack of Sleep

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The integration of learning English language and English literature prompts inquiries into the benefits and significance of this dual approach. Why should students studying English language also engage with English literature concurrently? At the heart of this discussion lies a fundamental question: what is the essence of learning these subjects? How do they interconnect, and what knowledge, rationale, and methodologies should guide our understanding? This abstract sets the stage for an exploration into the intertwined nature of English language and literature education. It seeks to unravel the core motivations behind integrating these disciplines, probing into the relationships they embody. By delving into the what, why, and how of this educational approach, it aims to shed light on the synergies between language acquisition and literary analysis, ultimately advocating for a comprehensive and enriched learning experience for students.

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 Keywords

English language, English literature, integration, benefits, significance, education, language acquisition, literary analysis, relationship, interconnectedness, interdisciplinary, curriculum, pedagogy, synergy, cultural understanding, critical thinking, empathy, aesthetic appreciation, language proficiency, linguistic nuances, societal norms, cross-cultural, holistic learning, methodology.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study aims to explore the role of Artificial Intelligence (AI) in the contemporary business landscape and assess the preparedness of businesses to embrace the evolving AI-driven market. The research seeks to understand how AI technologies are reshaping various aspects of business operations, including decision-making, efficiency, and innovation. Through a comprehensive evaluation, it examines the extent to which businesses are equipped to harness the potential of AI and adapt to its transformative impact. Furthermore, the study investigates emerging business opportunities influenced by AI and analyses the potential implications for industries across diverse sectors. By addressing these objectives, this research contributes to a deeper understanding of the intersection between AI and business, offering insights into strategies for leveraging AI technologies effectively and capitalizing on new opportunities for growth and competitiveness in the digital era.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Artificial intelligence, AI-Driven market, Innovation, Business Opportunities.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: Tea as a beverage has a long, colonial imprinted history in India, especially in Assam. The current Assam tea system has not changed significantly from that introduced by the British. Hierarchies were created and still exist today, except that the British now function exclusively as buyers and consumers. The brokers and the auction system follow the British implementation and hierarchies created then, do still exist today. In the study, we will focus on the role of the broker and the auction system and their influence on the tea pricing system, what factors influence the price determination process and what role do brokers and auctions play.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: tea, tea supply chain, price determination process, broker, auction, post-colonial continuities, performative process.

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Creative Commons Attribution 4.0 and The Open Definition