Volume 12 | Issue 11 |

 Abstract

Lung cancer remains a leading cause of mortality worldwide, emphasizing the urgent need for early and accurate detection to improve patient outcomes. In this study, we delve into the effectiveness of Convolutional Neural Networks(CNNs) in detecting lung cancer from medical imaging data, particularly Computed Tomography (CT) scans. We investigate how CNN architecture is optimally suited for analyzing image data and extracting crucial features necessary for precise diagnosis. Our focus extends to detailing the training methodology for

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Image Processing, Feature Extraction, Classification, Model Training, Cancer Detection.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

As the sophistication of deep fake technology increases, so does the potential for misuse in various domains, including politics, entertainment, and social media. This paper presents a comprehensive survey of deep fake detection systems, focusing on the methodologies employed to identify manipulated audio-visual content. We categorize existing detection approaches into traditional and modern techniques, detailing their underlying algorithms, feature extraction methods, and performance metrics. Additionally, we explore the challenges faced in deep fake detection, such as the evolution of generative models and the need for real-time processing capabilities. The survey also addresses the ethical implications and societal impacts of deep fakes, highlighting the importance of developing robust detection mechanisms to mitigate misinformation. Finally, we identify future research directions, emphasizing the need for interdisciplinary approaches that combine advancements in machine learning, psychology, and legal frameworks to enhance detection accuracy and the field of deep fake detection.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Generative Adversarial Networks (GANs), K-means Clustering, Face Swapping, Image Synthesis And Face Recognition, Convolutional neural networks ,Deep fake, Convolutional Neural Network(CNN), Fake Face Detection.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Agriculture is the mainstay of the Indian economy. Almost 70% people depend on it & shares major part of the GDP. Diseases in crops mostly on the leaves affects on the reduction of both quality and quantity of agricultural products. Perception of human eye is not so much stronger so as to observe minute variation in the infected part of leaf. In this paper, we are providing software solution to automatically detect and classify plant leaf diseases. In this we are using image processing techniques to classify diseases & quickly diagnosis can be carried out as per disease. This approach will enhance productivity of crops. It includes several steps viz. image acquisition, image pre-processing, segmentation, features extraction and neural network based classification.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Image Processing, K-means Clustering, Histogram Equalization, Contour Detection And Tracing, Gray Level Co-occurrence Matrix (GLCM), K-Nearest Neighbor

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A deep learning-based method called AyurLeaf was created to classify medicinal plants. Conventional methods for classifying and identifying medicinal plants have depended on human observation and skill, which can be laborious and prone to mistakes. The development of deep learning methods and artificial intelligence has made it feasible to create automated systems that able to correctly categorise therapeutic herbs according to their outward appearance.For millennia, many traditional medical methods have included the therapeutic use of medicinal plants. Bioactive substances found in these plants have therapeutic qualities and can be utilised to treat a range of illnesses. However, because there are many species and minor variations in their physical characteristics, it can be difficult to identify and classify these plants

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Desktop application, DB sqlite, python, CNN algorithm , Machine learning

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Real time monitoring of landslides is one of the challenging research areas nowadays within the field of geophysical research. The event of an actual field deployment of devices network primarily based landslide detection system. This system uses sensor nodes and communication for efficient delivery of real time data to the system for monitoring and provides warning and risk assessments to the inhabitants of the area. This network will be used for understanding the capability and usability of sensor network for critical and emergency application. In the context this project delves into the development of a sensor based system that utilizes multiple sensors for landslide detection as well. We will explore how these sensors enhance the monitoring surrounding environmental awareness in a coal mine, enabling it to relay data in dynamic and complex scenarios.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Temperature Sensor, Pressure Sensor, Gas Sensor, Buzzer

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract--In the domain of Internet of Things (IOT),a complete solution for optimising traffic signals to prioritise emergency vehicles is provided by the combination of Raspberry Pi, NodeMCU, transmitter, receiver, LED, and jumper cables.This abstract delves into the technical intricacies

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords--IoT (Internet of Things),Traffic signal control,Emergency vehicle priority,Smart traffic management,Real-time traffic monitoring.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Libraries have always been viewed as services that provide information, encourage reading, and support the idea of learning as a lifelong habit. In India, libraries have undergone significant transformations over the years, adapting to changes in technology, demographics, and user expectations. This paper aims to explore the new and emerging trends shaping the future of libraries in India. Based on the analysis of the primary care practices that are currently in use, problems that are prevalent, and opportunities that are apparent in the practices, we outline the critical areas of development such as digitalization, outreach to patrons, provision of innovative services, and the impact of the libraries on education and research support. Thus, it is acceptable to state that trends emerging in the position of libraries, as from the point of view of users, necessitate more investment in the training of library professionals and decision-makers of different levels so that bibliotheca is regularly updated. However, to address the issues of society as a whole and every library user specifically, the services and requirements of the libraries must be met.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Library, Technology, Trends, Digitization

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Bhartiya Rajniti Me Lalkrishna Aadvani Ka Yogdhan : Ek adhyan

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Bhartiya Rajniti Me Lalkrishna Aadvani Ka Yogdhan : Ek adhyan

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper provides an in-depth examination of the banking industry, tracing its evolution from traditional deposit and lending services to a wide range of financial solutions. Banks now prioritize customer satisfaction and efficient services at reasonable costs. The paper consists of several key components, including an introduction to the past, present, and future of banks, as well as the challenges facing the industry. The paper profiles The Jalgaon People's Cooperative Bank Ltd., highlighting its services and financial status, alongside comparative analyses of JalgaonJantaSahakari Bank and VidyaSahakari Bank. The research methodology outlines the study's objectives, scope, sources, and limitations. The paper then presents data interpretation and findings, utilizing tables, charts, and graphical representations. The study aims to compare Jalgaon People's Cooperative Bank Ltd. with other cooperative banks, evaluate their financial performance and profitability, and identify the most effective and efficient bank. Based on the findings, the paper offers proposals and suggestions for cooperative banks to maintain their regional presence and tackle future challenges. Ultimately, the paper underscores the importance of leveraging technology and innovative services to enhance customer satisfaction, improve operational efficiency, and remain competitive in the market.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

1. Banking industry 2. Financial evolution 3. Customer satisfaction 4. Operational efficiency 5. Financial solutions 6. Cooperative banks 7. Jalgaon People's Cooperative Bank Ltd. 8. Comparative analysis 9. Financial performance 10. Profitability

  License

Creative Commons Attribution 4.0 and The Open Definition