A Light-weight Watermarking-Based Framework on Dataset Using Deep Learning Algorithms

Tayyab, Muhammad; Marjani, Mohsen; Jhanjhi, N. Z.; Hashem, Mohamed

doi:10.1109/nccc49330.2021.9428845

Cited by 10 publications

(4 citation statements)

References 36 publications

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“…Usability testing is the next step, in which users engage with the system to find usability problems and evaluate the user interface (UI). Next up is performance testing, which evaluates how well the application responds and can manage expected user volumes under various loads [26][27][28][29][30][31]. Last but not least, security testing seeks out and addresses security flaws to stop illegal access and data breaches.…”

Section: Quality Assurance Techniquesmentioning

confidence: 99%

Integrating Smart Technologies and Mobile Applications to Enhance Shopping Mall Parking Experience

Long,

Lee,

Yee

et al. 2024

IJEMD-CSAI

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Several studies found that Malaysian shopping malls have reported that traffic issues happen when entering malls. We have found out that the traditional car parking system is not fully utilised with advanced technologies. Here, we come out with a smart parking system called Smart Park. Smart Park is the evolution of the car parking system by integrating traditional parking systems, IoT devices and mobile applications together. Smart Park is important as it can overcome the traffic issue happening in car parks in Malaysian shopping malls. The goal of this study is to find a solution to save customers ‘time and enhance customers’ parking experience before entering the mall. We aim to solve public issues of wasting time in finding car parking in shopping malls and using advanced technologies to overcome the issues.

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Section: Quality Assurance Techniquesmentioning

confidence: 99%

Integrating Smart Technologies and Mobile Applications to Enhance Shopping Mall Parking Experience

Long,

Lee,

Yee

et al. 2024

IJEMD-CSAI

View full text Add to dashboard Cite

show abstract

“…The likelihood of winning is affected by the runs scored by the side batting first throughout the first inning [14]. In our survey on predicting outcomes in the Pakistan Super League (PSL) using machine learning techniques, our research builds upon foundational insights presented in [15][16][17][18][19][20][21][22][23][24][25][26].…”

Section: Different Attribute To Influence the Matchmentioning

confidence: 99%

Prediction for Pakistan Super League Using Machine Learning Techniques: A Survey

ul Ain,

Ashraf,

Jhanjhi

2023

Preprint

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Cricket, the most popular sports in the world to chase by the fans. Many cricket fans are interested in analyzing the elements and activities that affect the outcomes of matches. Machine learning in sports analytics is a relatively new topic in computer science. The purpose of this survey is to anticipate the outcome of a PSL champion team and build a winning strategy. Machine learning (ML) has exhibited favorable outcomes in a variety of sectors for diverse prediction using classification, regression, and so on, and is proven to be accurate. The innovative frameworks based on ML have the ability to learn from previous experiences. The cricket pitch is the most important aspect, alongside home game an edge, coin toss, innings of play, day/night match, physical conditioning, and dynamic plans, among other things. The dataset from previously ESPN Cricifno was used for this purpose. Recent classification approaches including, Random Forest, Gradient Boost, Deep Neural Networks used to conduct a comparative analysis based on their results and performances, as well as team strategies.

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“…The fundamental components of blockchain-based distributed cloud storage solutions are analyzed based on several factors. In the exploration of Blockchain-Based Information Retrieval Systems, our survey draws upon the foundational insights presented in [23][24][25][26][27][28][29][30][31][32][33][34][35][36].…”

Section: Introductionmentioning

confidence: 99%

<strong>Blockchain Based Information Retrieval System: A Survey</strong>

Kaleem,

Ashraf,

Jhanjhi

2023

Preprint

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One of the most popular developments today that potentially address security issues with cloud computing is the use of blockchain. Blockchain is a decentralized data management platform that offers data integrity, security, and anonymity without the involvement of a third party. This work presents a comprehensive study of blockchain-based data storage system and their security concerns with their solutions to address these concerns. We provide a thorough overview of how blockchain is used in the cloud computing model to provide security services, and we examine the research trends of blockchain-related technologies in the current cloud computing models. As we examine, we also quickly look into how cloud computing may impact blockchain, particularly the performance enhancements that cloud computing may offer. This paper performs a review of the cutting-edge investigations of the blockchain-based system with a selfish-mining attack and the primary focus on IPFS. We also note their challenges, open issues, and future directions. The findings demonstrate that blockchain offers a productive platform in this area. However, one of the most significant problems that still need more research is security-related issues. The article offers a platform for future research and action as well.

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A Light-weight Watermarking-Based Framework on Dataset Using Deep Learning Algorithms

Cited by 10 publications

References 36 publications

Integrating Smart Technologies and Mobile Applications to Enhance Shopping Mall Parking Experience

Integrating Smart Technologies and Mobile Applications to Enhance Shopping Mall Parking Experience

Prediction for Pakistan Super League Using Machine Learning Techniques: A Survey

<strong>Blockchain Based Information Retrieval System: A Survey</strong>

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