Meenu Vijarania

This research addresses multifaceted environmental challenges linked to urbanization by introducing a transferable UNET model designed for precise greenery detection in high-resolution satellite imagery. The dataset, consisting of 72 images captured over Dubai by MBRSC satellites and annotated by the Roia Foundation, serves as the foundation of our study. While rooted in Dubai, the model's adaptability extends beyond regional confines, offering a versatile solution to a spectrum of global urban environmental challenges. In addition to accurate greenery detection, the UNET model provides a holistic approach to urban land cover classification.

Deep COPD, an innovative deep learning approach for accurate detection of Chronic Obstructive Pulmonary Disease (COPD) using respiratory sound analysis. The proposed approach utilizes a Convolutional Neural Network (CNN) model trained on a respiratory sound database containing wheezes, crackles, and both crackles and wheezes. To overcome the challenge of a small dataset, innovative techniques such as device-specific fine-tuning, concatenation-based augmentation, blank region clipping, and smart padding are employed. These techniques enable efficient utilization of the dataset, resulting in an impressive accuracy of 90% to 95%.

Advancements in technology have enabled us to delve deeper into the realm of hand gestures and their significance. One such innovation is hand gesture recognition, a field that combines computer vision and machine learning to interpret and understand the gestures made by human hands. With the help of Python, a versatile and popular programming language, we can harness this technology and unlock a myriad of applications. We will delve into the fundamentals of the subject, discuss various techniques and algorithms, and showcase practical examples of how this technology can be implemented in real-world scenarios.

In this book the authors provide an overview of COMMIT protocols that are used to coordinate participants in a distributed transaction so that all agree on the transaction's outcome. Presumed-abort and presumed-commit are the two best-known two-phase commit protocols. Presumed-abort is widely implemented. It handles aborting transactions efficiently and requires only a single forced log write at the coordinator in the common case that the transaction commits. It also handles read only transactions efficiently.

This book aims to develop a sophisticated Weather Web Application that provides users with comprehensive and real-time meteorological information. In an era where accurate and up-to-date weather data is crucial for various industries and individuals, this application seeks to deliver an intuitive and user-friendly interface for accessing diverse weather metrics. The book provides the comprehensive review and analysis of building the weather Application.

This Online book selling websites helps to buy the books online with Recommendation system which is one of the stronger tools to increase profit and retaining buyer. The book recommendation system must recommend books that are of buyer's interest. Recommendation systems are widely used to recommend products to the end users that are most appropriate. This system uses features of collaborative filtering to produce efficient and effective recommendations. Collaborative recommendation is probably the most familiar, most widely implemented and most mature of the technologies. Collaborative recommender systems aggregate ratings of objects, recognize commonalities between users on the basis of their ratings, and generate new recommendations.

RTP, the Real Time Transport Protocol, has gained widespread acceptance as the transport protocol for voice and video on the Internet. Its companion control protocol, the Real Time Control Protocol (RTCP). Together these protocols provide controlled delivery of multimedia traffic over the Internet. RTCP is used for loose session control, QoS reporting, and media synchronization, delay, jitter and packet loss calculations.