In complex condensed phase reactions, the effective activation energy depends on both conversion degree and temperature. In our previous research, we introduced a modification to the Friedman method allowing for the c...
详细信息
E-commerce has grown as a leading marketplace for world trade, but this market has been contaminated by new risks like fraud. Some of the past techniques of detecting fraud do not do well in handling new methods of fr...
详细信息
Remote sensing scene classification enables data-driven decisions for various applications, such as environmental monitoring, urban planning, and disaster management. However, deep learning models used for scene class...
详细信息
As human society is developing, so is electronic commerce and with that the use of credit card are increasing. And along with this growth, as people prefer to shop using credit cards in both mode of payments, the poss...
详细信息
As human society is developing, so is electronic commerce and with that the use of credit card are increasing. And along with this growth, as people prefer to shop using credit cards in both mode of payments, the possibility of fraud and fraud of credit card is also on rise. The criminals may steal the card physically, but more frequently, they use digital ways to obtain the credit card details along with the personal information linked to it in order to engage in illicit actions. There is a lot of overlap between credit card fraud and identity theft. Indeed, credit card theft is one of the most common forms of identity theft. In these cases, the personal information of victims is stolen to somehow get access to cards by registering a new account without the owner’s knowledge and certainly it is a form of cyberattack as well as data breach and is offensive crime. This behavior is both identity fraud and credit card fraud. In this study, we employ a CAT Boost, ADA Boost, LIGHT GRADIENT BOOSTING and CONVOLUTIONAL NEURAL NETWORK model to simulate the process of credit card transaction processing and display how it can be applied to the spot of such frauds. The dataset inspection method, factor determination, and techniques used for detection have a significant influence on the demonstration of fraud detection in credit card transactions. The accuracy for models can be determined by finding precision, recall, f1score, accuracy values but to compare the models, we will take ROC AUC Score into account. So, the ROC AUC Score of CAT BOOST, ADA BOOST, LIGHT GRADIENT BOOSTING and CONVOLUTIONAL NEURAL NETWORK model are 92.44, 79.74, 93.34, 95.25 respectively. And CONVOLUTIONAL NEURAL NETWORK is best among four with 95.25 ROC Score.
Sixth-generation technology, which surpasses 5G with faster speeds, lower latency, and increased capacity, highlights the pivotal intelligent reflecting surface (IRS) and optimizes wireless communication by precisely ...
详细信息
Ensuring a sustainable global food security status which necessitated by achieving an equilibrium state between the anticipated and significant rise in the global population and the projected agricultural output which...
详细信息
The recent attraction of intentness from the industry as well as academia are derived by the shoot up in 5G communication technologies, consumer electronics, healthcare, cloud computing enabled big data analytics and ...
详细信息
The recent attraction of intentness from the industry as well as academia are derived by the shoot up in 5G communication technologies, consumer electronics, healthcare, cloud computing enabled big data analytics and agriculture. There are various types of challenges in these fields such as security challenges, design challenges, deployment challenges etc. One of the considerable wide challenge is the limited lifetime of network. Reason of limited lifetime are massive devices those are being activated by the finite capacities batteries. Backscatter communications (BackCom), a technique based on the phenomena of low power and low complexity of network is a hopeful technique to tackle this challenge. BackCom technique depend on inert reflection and amendment in an incident radio frequency wave. Also the exploration of non-orthogonal multiple access (NOMA) technique became very useful in fifth and beyond fifth generation of networks to increase its capacity. The combination of the two techniques, NOMA and BackCom, gives new prospects in multi cell NOMA networks in terms of connectivity. It leads several new challenges in condensed wireless network. The significant improvements of the combination of NOMA and BackCom are mentioned in comparison with the standard technique of orthogonal multiple access (OMA) ambient BackCom.
With the continuous growth of electricity demand during peak times, demand response (DR) programs have emerged as an effective tool for load management. However, incentive-based DR programs often face issues of instab...
详细信息
In edge intelligence systems, task offloading and resource allocation policies critically depend on the required computing capacity of the task, which can only be accurately measured after execution, presenting signif...
详细信息
暂无评论