Recognition of Leaves in Videos

E commerce has transformed global trade, enabling businesses to reach audiences worldwide since the World Wide Webs inception in 1990. Companies like Amazon demonstrate this growth, evolving from a small online bookstore to a retail giant. E commerces appeal lies in its global reach, cost efficiency, and 24 slash 7 availability. However, security challenges, especially credit card fraud, remain significant, causing substantial losses to businesses, particularly small and medium sized enterprises. Addressing fraud in e-commerce through machine learning techniques is crucial. Techniques such as Logistic Regression, Decision Trees, and Hidden Markov Models each offer unique advantages and limitations for detecting fraud, with some able to operate in realtime. These methods help reduce false positives and improve fraud detection, making them integral to secure e commerce environments. This paper introduces a system that uses disposable domain names and custom DNS servers to detect transaction inconsistencies, thus addressing proxy based fraud attempts. By generating unique hostnames for each transaction, the system enables real time monitoring and validation of client transactions. This DNS profiling approach strengthens e commerce security, reduces financial risks, and enhances trust. The findings underscore the need for advanced fraud detection, contributing to safer online transactions and offering valuable insights for future secure e commerce systems.

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Biodiversity of Jashpur District Chhattisgarh, India

Kindo

2023

IJAB

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The biodiversity of Jashpur district of Chhattisgarh was studied using the methods of Frequency, density and abundance. For sampling Loro Ghat was taken. In the present study, at about 77 deciduous forest trees species belonging to 31 different families, were identified with their botanical name and their possible uses by the local tribes were recorded. It is observed that the family Fabaceae represent maximum number of seventeen species, followed by Moraceae with 7 species, Combretaceae with 06 species, Myrtaceae with 5 species Rutaceae with 4 species, Anacardiaceae Rubiaceae and Euphorbiaceae with 3 species, respectively. Besides, these families Annonaceae, Apocynaceae, Burseraceae, Embenaceae, Lamiaceae and Meliaceae were found with two species of each in the surveyed area. On the basis of data analysis Butea monosperma showed their maximum frequency, density and abundance i.e., 0.507, 1.074 and 2.117 respectively, during the sampling, and then followed by Cassia fistula and Shorea robusta with 0.313 and 0.388, respectively. On the other hand, Embilica officinalis, Ficus bengalensis, F. carica, F. glomerata, Pongamia pinnata and Pterocarpus marsupium showed minimum distribution in the forest. Surprisingly, the species like Santalum album, Mangifera indica and Annona reticulate, Terminalia arjuna and Tectona grandis were appeared with high abundance.

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Recognition of Leaves in Videos

Cited by 3 publications

References 2 publications

Entangled Bodies in a PrEP Demonstration Project

Entangled Bodies in a PrEP Demonstration Project

A Comprehensive Strategy for Detecting Credit Card Fraud in E-Commerce Utilizing DNS Authentication

Biodiversity of Jashpur District Chhattisgarh, India

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