Volume 6 | Issue 1 |

 Abstract

ADHUNIK BANGLA SAHITYE HASYARAS O BYANGOKAHINI

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

ADHUNIK BANGLA SAHITYE HASYARAS O BYANGOKAHINI

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The study looks at customer opinions of digital payment systems in India, namely the Unified Payments Interface (UPI), mobile wallets and contactless payments. As India moves toward a cashless economy, fueled by government programs and fintech breakthroughs, it is critical to assess the degree and variety of digital payment usage across demographic groups. The study uses a quantitative cross-sectional survey with 500 respondents to measure acceptance levels, identify obstacles and investigate the impact of demographic factors on digital payment usage. The findings show that younger, urban and educated people are more likely to choose UPI, which is the most common approach. Security problems, technical issues and a lack of trust are all significant challenges. The study emphasizes the importance of stronger security measures, improved technological infrastructure, focused marketing techniques and supporting governmental frameworks in encouraging broader usage and addressing existing impediments. The results highlight the significance of targeted actions to increase financial inclusion and ease India's paperless transition.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Digital Payment Systems, Consumer Perception, Mobile, Unified Payments Interface

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This review paper discusses the benefits and drawbacks of nuclear energy, focusing on its environmental friendliness, safety, and lower carbon footprint compared to wind and solar energy. However, it also includes persistent radioactive waste, which will take thousands of centuries to decay.Nuclear energy is a safer and sustainable alternative to solar and wind power, with a smaller carbon footprint. However, it has a long-lasting radioactive waste that takes thousands of years to degrade. The surge in nuclear power facilities is driven by the idea of "green energy" as a stopgap measure until renewable energy sources are prepared. High prices and financial instability have led to concerns about commercial feasibility. Emerging nations like China, Brazil, and India are focusing on sustainable energy sources like nuclear and hydroelectric power.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Nuclear Power: A Comprehensive Analysis of Its Benefits and Drawbacks

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract Integrating artificial intelligence (AI) with big data analysis can significantly enhance marketing strategies by providing deeper insights, improving decision-making processes, and enabling more personalized customer experiences. This integration allows businesses to leverage vast amounts of data to identify patterns, trends, and correlations that may not be immediately apparent through traditional analysis methods. AI algorithms, such as machine learning and natural language processing, can analyze customer behavior, preferences, and feedback in real-time, enabling marketers to tailor their campaigns more effectively. Furthermore, predictive analytics powered by AI can forecast market trends and consumer demands, helping companies stay ahead of the competition. Recent technological advances that have already impacted corporate operations include the internet of things, big data analytics, and artificial intelligence, to name just a few. Artificial intelligence (AI) has the most potential to cause a revolution in marketing strategy compared to other forthcoming technologies. In today's corporate sector, artificial intelligence may be beneficial in a variety of contexts. The intellectual and expert consensus is that artificial intelligence will decide the destiny of human civilization. The expansion of information and communication capabilities has transformed the whole world into a massive network of linked nodes. As a result of technology applications, investments in Artificial Intelligence (AI) for huge data insights to deliver business intelligence have surged. Leverage your existing SQL skills to build, train, and deploy batch predictive models directly within Big Query or your chosen data warehouse with Big Query. Plus, Big Query ML integrates with Vertex AI, our end-to-end platform for AI and ML, broadening your access to powerful models that generate real-time, low-latency online predictions, including identifying new audiences based on current customer lifetime value, recommending personalized investment products, and forecasting demand.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Customer Segmentation, Predictive Analytics, Personalization, Dynamic Pricing, Behavioral Analysis, Sales Forecasting, Customer Insights, Sentiment Analysis, Recommendation Systems

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study examines Baby Kamble's autobiography, The Prisons We Broke, as an essential book in the collection of stories of Dalit women. Kamble's narrative challenges patriarchal and casteist norms that have historically silenced Dalit women's voices by emphasizing their lived experiences. This article studies how Kamble expresses the distinct intersectional problems that Dalit women face through a thorough examination of theme aspects such as caste oppression, resistance, and identity creation. This study explains how Kamble's story not only captures individual and societal pain but also stands as a potent tribute to the fortitude and agency of Dalit women, using a feminist and subaltern studies perspective. The study results add to the ongoing discussion on Dalit literature and emphasize how important it is to include disadvantaged voices in literary and academic discussions.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Baby Kamble, Dalit Women, Caste Discrimination, Gender Oppression , Marathi Autobiography

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract Efficient water management is crucial for sustainable agriculture, especially in regions facing water scarcity. This paper presents a smart irrigation system that leverages wireless sensor networks (WSN) and Internet of Things (IoT) technologies to optimize water usage in agricultural practices. The proposed system integrates various sensors and IoT devices to monitor soil moisture levels, weather conditions, and crop health, providing real-time data to manage irrigation processes more effectively. Agriculture is one of the industries which have recently diverted their attention to wireless sensor networks. Wireless sensor networks have been widely used in monitoring agriculture and collecting data such as agricultural irrigation, fertilization, pest control, greenhouse cultivation, and livestock breeding. This paper presents a primer on the applications of wireless sensor networks technology in agriculture. Keywords: Precision Agriculture, Green/Sustainable Agriculture, Digital Agriculture, Smart Agriculture. An IoT sensor, short for Internet of Things sensor, is a mechanism embedded in a physical device to collect data from its surrounding environment. These sensors transfer the gathered data to other devices or systems over the internet. Various sensor types, such as pressure, temperature, sound sensors, etc. collect data in diverse environments. The effectiveness of these sensors depends on their type and quality, making them suitable for different applications. In order to resolve the problems which include loss of soil fertility and waste of water resource in agriculture production, we design an intelligent irrigation system based on wireless sensor networks and fuzzy control. The system mainly consists of wireless sensor networks and the monitoring center. All of the nodes in Monitoring area use solar power collect the information of soil moisture, together with the growth information of different crops in different periods. Soil moisture content deviation and the rate of change of deviation are taken as input variables of fuzzy controller, and the fuzzy control regular database is established for the fuzzy irrigation control system. The monitoring center receives the data transmission from wireless sensor network node, and output information of irrigation water demands to the relay via a wireless sensor network to control opening and closing time of the valve in crop areas. The experimental results show that the system has a stable and reliable data transmission, which achieve real-time monitoring of soil on crop growth, give a right amount of irrigation based on crops growth information, which has broad application prospects.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Smart Irrigation, Agriculture Technology, Wireless Sensor Network (WSN), Internet of Things (IoT), Soil Moisture Sensors, Environmental Sensors, Remote Monitoring, Automated Irrigation etc.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Kamala Das, a prominent Indian poet and writer, often explores themes of gender and societal expectations in her works. Her poetry and prose provide a critical examination of the roles and limitations imposed on women within Indian society. In her selected works, Das delves into the complexities of female identity, sexuality, and the struggle for personal autonomy. This abstract examines how Das's writings challenge traditional gender roles and societal norms. Her poetry, characterized by its candid and confessional style, addresses the alienation and repression experienced by women. By presenting the female body and voice as sites of resistance and self-expression, Das subverts patriarchal conventions and exposes the inner turmoil of women constrained by cultural expectations. Through a close analysis of her major works, including "Introduction," "The Old Playhouse," and "My Grandmother's House," this study highlights how Das's depiction of women's experiences reflects broader social critiques. Her portrayal of female desire, domesticity, and selfhood confronts the restrictive narratives of femininity and opens a dialogue on the liberation and empowerment of women. By situating her work within the context of Indian societal norms and feminist discourse, this analysis underscores Das's contribution to the discourse on gender and the ongoing struggle for gender equality.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Kamala Das , Gender , Society , Feminism, Indian Literature, patriarchy, Female Identity, Sexuality, Social Norms,

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In recent decades, there has been an exponential increase in the amount of health and life sciences data generated and stored. Real-time collection and analysis of patient information using artificial intelligence (AI) tools in clinical trials have become commonplace, and mobile devices are enhancing both the diagnosis and treatment of sickness. Additionally, AI is being used to develop new drugs, repurpose existing ones, accelerate diagnoses, and improve treatment efficiency. It also helps scientists formulate data-driven hypotheses providing patient-centric solutions in various phases of life sciences. This review examines the transformative impact of AI on the life sciences sector

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Artificial-intelligence (AI); Clinical trials; Mobile phones ; Sickness; Life sciences; Patient-centric solutions

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Kanakuppe Fort situated in Jagalur Taluk of Karnataka, India, stands as a testament to the region's rich historical and architectural heritage. This study explores the fort's dual significance in regional geopolitics and its evolution as an architectural marvel over centuries. Origins and Early History: Founded during the reign of the Vijayanagara Empire, Kanakuppe Fort's strategic location atop a hill facilitated control over trade routes and agricultural lands. It served as a vital administrative and military center, contributing to the empire's governance and defense strategies in South India. Role in Regional Geopolitics: Throughout its history, Kanakuppe Fort played a pivotal role in regional geopolitics. Under various dynasties such as the Hoysalas, Chalukyas, and Bahmani Sultanate, the fort evolved as a strategic stronghold, influencing political stability and economic prosperity in the surrounding region. Its defense and strategic positioning enabled rulers to exert control over key territories and maintain authority amidst shifting powers.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Forts, Architecture, Geopolitics, Governance, Evolution.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

"Image processing is a form of signal processing for which input is an image, video frame or photograph". It deals with the computerized images with the assistance of an advanced PC. It additionally concentrates on execution preparing the image by building up the PC framework. Framework acknowledged the contribution as a computerized image and utilizing effective calculations the framework will handle the image, and gives a image as a yield.. Plant diseases are the primary wellspring of plant harm which bring about financial and generation misfortunes in agrarian ranges. Inferable from troubled climatic and ecological conditions, event of plant illnesses is on the ascent. There are different sorts of diseases in plants, assortment of side effects, for example, spots or smirch emerging on the plant leaves, seeds and stanches of the plant. Keeping in mind the end goal to deal with these elements viably, there is a need to present a programmed strategy for plant observation that can examine plant conditions and applied information-based answer for recognized and group different infections. Machine Learning is a characteristics proper structure to bolster this issue.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

A FRAMEWORK FOR LEAF DISEASE DETECTION

  License

Creative Commons Attribution 4.0 and The Open Definition