Ensemble of Handcrafted and Deep Learning Model for Histopathological Image Classification

Majety, Vasumathi Devi; Sharmili, N.; Pattanaik, Chinmaya Ranjan; Lydia, E. Laxmi; Zeebaree, Subhi R. M.; Mahmood, Sarmad Nozad; Abosinnee, Ali S.; Alkhayyat, Ahmed

doi:10.32604/cmc.2022.031109

Cited by 4 publications

(4 citation statements)

References 16 publications

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“…This provides the offender with comprehensive visibility into their victims' activity while they investigate the bogus site, as well as the opportunity to circumvent any further security measures that the victim may be implementing at this time. Additionally, the offender has access to the victims' personally identifiable information [33,43].…”

Section: Background Theorymentioning

confidence: 99%

Web Phishing Detection Using Web Crawling, Cloud Infrastructure and Deep Learning Framework

Abdulrahman¹,

Ahmed²,

Rashid³

et al. 2023

JASTT

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The pandemic of COVID-19 obliges citizens to follow the “work from home “scheme. The Internet is also a powerful channel for social connections. The huge dependency of people on digital media opens doors to fraud. Phishing is a form of cybercrime that is used to rob users of passwords from online banking, e-commerce, online schools, digital markets, and others. Phishers create bogus websites like the original and deliver users spam mails. When an online user visits fake web pages via spam, phishers steal their credentials. As a result, it is important to identify these forms of fraudulent websites until they do any harm to victims. Inspired by the ever-changing existence of phishing websites. This paper reviews the work on Phishing attack detection and aims to examine techniques that mainly detect and help in preventing phishing attacks rather than mitigating them. Here we offered a general overview of the most effective phishing attack detection strategies focused on deep learning.

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Section: Background Theorymentioning

confidence: 99%

Web Phishing Detection Using Web Crawling, Cloud Infrastructure and Deep Learning Framework

Abdulrahman¹,

Ahmed²,

Rashid³

et al. 2023

JASTT

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“…This is despite the fact that such corrections and transformations have been performed as part of the integration of WordNet 1.7 into WebKB-2. In spite of the fact that WordNet 1.7 has been subjected to these sorts of repairs and alterations, this remains the case [77].…”

Section: Wordnetmentioning

confidence: 99%

Document Clustering in the Age of Big Data: Incorporating Semantic Information for Improved Results

Haji¹,

Al-Zebari²,

Şengür³

et al. 2023

JASTT

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There has been a meteoric rise in the total amount of digital texts as a direct result of the proliferation of internet access. As a direct result of this, document clustering has evolved into a crucial method that must be used in order to successfully extract relevant information from big document collections. When employing the document clustering approach, documents are automatically sorted into groups whose members have a high degree of similarity to one another. These groups are created by applying the document clustering technique. Because they do not take into account the semantic linkages that exist between the texts, traditional clustering approaches are unable to provide an acceptable description of a collection of texts. This is because traditional clustering techniques. Document clusters, in which texts are ordered according to their meaning rather than their use of keywords, have been extensively utilized as a means of overcoming these challenges as a result of the incorporation of semantic information. This has been possible as a result of the fact that document clusters can group together related texts. In this investigation, we looked at a total of 27 distinct papers that were published over the previous five years and categorized the documents based on the semantic similarities that existed between the various pieces. A detailed literature evaluation is included to each and every one of the publications that were selected for further consideration. Comparative research is carried out on a wide variety of evaluation strategies, including as algorithms, similarity metrics, instruments, and processes. Following that, there is a drawn-out discussion that analyzes the similarities and differences between the activities.

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“…One of the most important aspects of the procedure is making sure that one takes into consideration the social and human resources that are available to them. Currently, there is a significant number of smart city projects that are being implemented, and the majority of these efforts are based on individualized systems and methods of carrying out certain tasks [20]. On the other hand, it is possible that they are not always appropriate for diverse cities all over the world, and in other instances, just a percentage of the many different aspects that need to be handled are taken into consideration.…”

Section: E Smart City Challengesmentioning

confidence: 99%

Web-based Efficiency of Distributed Systems and IoT on Functionality of Smart City Applications

Armya,

Abdulrahman,

Abdulkareem

et al. 2023

Journal of Smart Internet of Things

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In the current technological environment, the Internet of Things (IoT) has arisen as a significant subject of research because of its importance. A robust cloud computing framework is established via the collaboration of sensors and actuators. This framework has the potential to be used in the creation of autonomous object networks in real-time systems. The Internet of Things (IoT) is playing a significant role in the redefinition of other significant ideas, such as urbanism and smart cities. The Internet of Things (IoT) technology has the potential to improve the quality of life for inhabitants of smart cities, which are relatively new developments. This might be accomplished by providing people with enhanced facilities and services. The Internet of Things is seeing a fast expansion in a variety of sectors, including smart cities, everyday life, and other fields. Through the use of home automation, smart wearables, security solutions, and smart healthcare, the Internet of Things makes it possible to create intelligent environments. In the realm of the Internet of Things, some of the possible topics of study include intelligent transportation systems for cities and intelligent electrical systems. This article offers a succinct summary of the most recent advancements in the Internet of Things (IoT) and the influence those advancements have had on the lives of humans in their day-to-day activities. In addition to this, the Internet of Things (IoT) is also considered in connection to artificial intelligence, autonomous control, and cloud computing. It is important to synchronise a number of technologies, such as wireless sensors, actuators, the internet, and distributed computing, in order to successfully allow upcoming Internet of Things technologies.

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Ensemble of Handcrafted and Deep Learning Model for Histopathological Image Classification

Cited by 4 publications

References 16 publications

Web Phishing Detection Using Web Crawling, Cloud Infrastructure and Deep Learning Framework

Web Phishing Detection Using Web Crawling, Cloud Infrastructure and Deep Learning Framework

Document Clustering in the Age of Big Data: Incorporating Semantic Information for Improved Results

Web-based Efficiency of Distributed Systems and IoT on Functionality of Smart City Applications

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