Investigating the Spread of Coronavirus Disease via Edge-AI and Air Pollution Correlation

Gomathy, V.; Janarthanan, K.; Al‐Turjman, Fadi; Sitharthan, R.; Rajesh, M.; Vengatesan, K.; Reshma, T. Priya

doi:10.1145/3424222

Cited by 43 publications

(37 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The data were analyzed to determine the percentage of energy supplied by the solar PV system and the percentage of energy stored in the batteries. The cost savings achieved through the use of solar PV and battery storage systems were also evaluated [52]. The solar PV system generated 221,520 kWh of electricity over a one-year period, which was equivalent to 19% of the total energy consumed by the university during that time.…”

Section: Case Study: University Of Juba South Sudanmentioning

confidence: 99%

See 1 more Smart Citation

Skin Cancer Classification of HAM 10000 Datasetusing CNN with Inception V3 Model

Ravishankar

2023

Recent Trends in Data Science and Its Applications

View full text Add to dashboard Cite

Currently, Solar PVs are gaining considerable acceptance because of their ability to directly convert sunlight into electric power. Nevertheless, photovoltaic-generated electricity may fail to satisfy the ever-increasing energy demand because it does not provide a consistent supply that aligns with the needs of consumers. To solve this problem, energy storage has recently gained importance in gridconnected Photo Voltaic (PV) plants. This helps in managing loads more flexibly and overcoming problems related to power quality faced by grid-distributed networks, thereby making PV plants valuable and appealing. To effectively integrate PV plants and storage systems into the power grid, various techniques for battery management have been developed to create a demand that is more responsive to prices. The wider deployment of PV systems is hindered by the lack of supporting policies. This study reviews different techniques of configuration and modeling employed for the optimal operationalization of PV grid-tied systems with battery storage. We examined numerous optimization methods and dispatch mechanisms for energy stored that capitalize on the monetary worth of battery-operated PV systems. We also discuss the grid-connected PV system-related power quality and control technology challenges. Finally, we explored several functioning and maintenance concerns of battery-operated PV systems and highlighted the financial and ecological advantages of PV grid-tied configuration. The goal of this study was to review several technical issues related to the condition of PV systems. These issues include energy regulation, various cell technologies, energy management and scheduling methods, reliability, and power quality. We also discuss whether findings from the University of Juba should be adopted.

show abstract

Section: Case Study: University Of Juba South Sudanmentioning

confidence: 99%

“…These systems have significantly reduced the university's reliance on diesel generators and have resulted in substantial cost savings. The system has improved power reliability, reduced electricity bills, and a positive impact on the environment [52].…”

Section: Case Study: University Of Juba South Sudanmentioning

confidence: 99%

Skin Cancer Classification of HAM 10000 Datasetusing CNN with Inception V3 Model

Ravishankar

2023

Recent Trends in Data Science and Its Applications

View full text Add to dashboard Cite

show abstract

“…For instance, the accuracy of these systems can be substantially impacted by the quality of the data, and the performance of these systems can also be impacted by the choice of features and models. [6] The numerous fraud detection and prevention strategies utilised in card-based financial systems are thoroughly examined in this research. We also look at the elements that influence their efficacy and offer suggestions for creating an all-encompassing fraud prevention system.…”

Section: ] • Support Vector Machinementioning

confidence: 99%

Analysis and Design of Fraud Detection and Prevention Techniques In Card Based Financial

Kansal,

Singh,

Chaudhary

2023

Recent Trends in Data Science and Its Applications

View full text Add to dashboard Cite

Due to the exponential surge in fraudulent activities brought on by the growing use of card-based financial transactions, individuals, businesses, and banking firms have sustained enormous financial losses. As a result, methods for identifying and avoiding fraud are becoming crucial components of the financial ecosystem. The study and design of fraud detection and prevention strategies in cardbased financial systems are the main topics of this research.The outline of the many forms of fraud that may happen in card-based financial systems, such as skimming, phishing, counterfeiting, and identity theft, is provided in the first section of the article. The second section covers the several methods for detecting and preventing fraud, including rule-based systems, anomaly detection, machine learning, and deep learning. The next section of the study offers a detailed review of a few of the most efficient fraud detection and prevention strategies, such as support vector machines, decision trees, and neural networks. It also looks at the many aspects of data quality, feature choice, and model choice that influence the precision and effectiveness of these strategies. The need of creating a thorough fraud prevention system that includes a variety of detection and prevention measures is covered in the paper's last section. In order to assure the system's efficiency in thwarting fresh and evolving cybercrimes, it also highlights the necessity of routine system monitoring and update.

show abstract

“…These automations play a prominent role in the development of various equipment's to improve the standard of living. These innovations helps in the control and monitoring parameters to enhance the performance and functioning of the equipment's and its life time [8]- [10].…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of Automatic Speed Control of Ceiling Fan through PWM Technique with Optocoupler to Reduce Energy Consumption

Satish,

Sandeep,

Kapili

et al. 2023

Recent Trends in Data Science and Its Applications

View full text Add to dashboard Cite

The evolution of automation and innovations helps in diverse field. This helps to create human lives much easier. It tend to produce various automatic devices. These devices must include the control system to improve the automation in the equipment. The important equipment used in our day to day life is the ceiling fan. This is the largely used equipment. The conventional system includes manual speed control. To enhance automation in the system, the proposed system is implemented to replace the conventional system with automatic speed control system. This helps to automatically control the speed of the fan based upon the surrounding temperature. This is sensed through the use of sensors. This includes pulse width modulation techniques with brushless permanent magnet DC motors and microcontroller. Here PIC microcontrollers are used for controlling and processing. Thus these techniques are employed for the automatic detection of ceiling fan. This leads in the reduction of energy consumption and reduced cost.

show abstract

Investigating the Spread of Coronavirus Disease via Edge-AI and Air Pollution Correlation

Cited by 43 publications

References 25 publications

Skin Cancer Classification of HAM 10000 Datasetusing CNN with Inception V3 Model

Skin Cancer Classification of HAM 10000 Datasetusing CNN with Inception V3 Model

Analysis and Design of Fraud Detection and Prevention Techniques In Card Based Financial

Design and Implementation of Automatic Speed Control of Ceiling Fan through PWM Technique with Optocoupler to Reduce Energy Consumption

Contact Info

Product

Resources

About