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Clickbait (headlines) make use of misleading titles that hide critical information from or exaggerate the content on the landing target pages to entice clicks. As clickbaits often use eye-catching wording to attract viewers, target contents…

Computation and Language · Computer Science 2017-10-06 Xinyue Cao , Thai Le , Jason , Zhang

Camera model identification has earned paramount importance in the field of image forensics with an upsurge of digitally altered images which are constantly being shared through websites, media, and social applications. But, the task of…

Image and Video Processing · Electrical Eng. & Systems 2019-05-28 Abdul Muntakim Rafi , Uday Kamal , Rakibul Hoque , Abid Abrar , Sowmitra Das , Robert Laganière , Md. Kamrul Hasan

Images captured by fisheye lenses violate the pinhole camera assumption and suffer from distortions. Rectification of fisheye images is therefore a crucial preprocessing step for many computer vision applications. In this paper, we propose…

Computer Vision and Pattern Recognition · Computer Science 2018-04-16 Xiaoqing Yin , Xinchao Wang , Jun Yu , Maojun Zhang , Pascal Fua , Dacheng Tao

Biofouling is the accumulation of organisms on surfaces immersed in water. It is of particular concern to the international shipping industry because it increases fuel costs and presents a biosecurity risk by providing a pathway for…

Computer Vision and Pattern Recognition · Computer Science 2021-02-22 Nathaniel J. Bloomfield , Susan Wei , Bartholomew Woodham , Peter Wilkinson , Andrew Robinson

Bangladesh is one of the high TB burden countries in the world and TB is still a major public health problem in the country. To eradicate TB in Bangladesh and to ensure proper monitoring and better health care service, digital interventions…

Computers and Society · Computer Science 2020-08-18 Md Monzur Morshed

Phishing remains a pervasive and growing threat, inflicting heavy economic and reputational damage. While machine learning has been effective in real-time detection of phishing attacks, progress is hindered by lack of large, high-quality…

Cryptography and Security · Computer Science 2026-02-13 Thomas Dalton , Hemanth Gowda , Girish Rao , Sachin Pargi , Alireza Hadj Khodabakhshi , Joseph Rombs , Stephan Jou , Manish Marwah

A lot of search approaches have been explored for the selection of features in pattern classification domain in order to discover significant subset of the features which produces better accuracy. In this paper, we introduced a Harmony…

Computer Vision and Pattern Recognition · Computer Science 2017-07-27 Supratim Das , Pawan Kumar Singh , Showmik Bhowmik , Ram Sarkar , Mita Nasipuri

Malicious URL detection is an emerging research area due to continuous modernization of various systems, for instance, Edge Computing. In this article, we present a novel malicious URL detection technique, called deepBF (deep learning and…

Cryptography and Security · Computer Science 2022-03-01 Ripon Patgiri , Anupam Biswas , Sabuzima Nayak

In the last few years, the deep learning technique in particular Convolutional Neural Networks (CNNs) is using massively in the field of computer vision and machine learning. This deep learning technique provides state-of-the-art accuracy…

Computer Vision and Pattern Recognition · Computer Science 2018-09-05 M M Shaifur Rahman , Mst Shamima Nasrin , Moin Mostakim , Md Zahangir Alom

Machine learning techniques play an important role in analyzing spectral data. The spectral data of fish biomass is useful in fish production, as it carries many important chemistry properties of fish meat. However, it is challenging for…

Neural and Evolutionary Computing · Computer Science 2025-05-29 Zhixing Huang , Bing Xue , Mengjie Zhang , Jeremy S. Ronney , Keith C. Gordon , Daniel P. Killeen

Uses of underwater videos to assess diversity and abundance of fish are being rapidly adopted by marine biologists. Manual processing of videos for quantification by human analysts is time and labour intensive. Automatic processing of…

Computer Vision and Pattern Recognition · Computer Science 2018-07-17 Ranju Mandal , Rod M. Connolly , Thomas A. Schlacherz , Bela Stantic

Phishing is a major problem on the Web. Despite the significant attention it has received over the years, there has been no definitive solution. While the state-of-the-art solutions have reasonably good performance, they require a large…

Cryptography and Security · Computer Science 2016-04-26 Samuel Marchal , Kalle Saari , Nidhi Singh , N. Asokan

The great rivers of Bangladesh, arteries of commerce and sustenance, are also agents of relentless destruction. Each year, they swallow whole villages and vast tracts of farmland, erasing communities from the map and displacing thousands of…

Computer Vision and Pattern Recognition · Computer Science 2025-10-21 M Saifuzzaman Rafat , Mohd Ruhul Ameen , Akif Islam , Abu Saleh Musa Miah , Jungpil Shin

Expert systems have been used to enable computers to make recommendations and decisions. This paper presents the use of a machine learning trained expert system (MLES) for phishing site detection and fake news detection. Both topics share a…

Cryptography and Security · Computer Science 2021-08-19 Benjamin Fitzpatrick , Xinyu "Sherwin" Liang , Jeremy Straub

With the rapid growth of image and video data on the web, hashing has been extensively studied for image or video search in recent years. Benefit from recent advances in deep learning, deep hashing methods have achieved promising results…

Computer Vision and Pattern Recognition · Computer Science 2017-11-28 Qi Li , Zhenan Sun , Ran He , Tieniu Tan

Scientific fraud is an increasingly vexing problem. Many current programs for fraud detection focus on image manipulation, while techniques for detection based on anomalous patterns that may be discoverable in the underlying numerical data…

Quantitative Methods · Quantitative Biology 2013-11-22 Joel H Pitt , Helene Z Hill

The basic principles in designing convolutional neural network (CNN) structures for predicting objects on different levels, e.g., image-level, region-level, and pixel-level are diverging. Generally, network structures designed specifically…

Computer Vision and Pattern Recognition · Computer Science 2019-01-14 Shuyang Sun , Jiangmiao Pang , Jianping Shi , Shuai Yi , Wanli Ouyang

Social media is currently being used by many individuals online as a major source of information. However, not all information shared online is true, even photos and videos can be doctored. Deepfakes have recently risen with the rise of…

Computer Vision and Pattern Recognition · Computer Science 2023-02-22 Jacob mallet , Laura Pryor , Rushit Dave , Mounika Vanamala

In the grain industry, the identification of seed purity is a crucial task as it is an important factor in evaluating the quality of seeds. For rice seeds, this property allows for the reduction of unexpected influences of other varieties…

Computer Vision and Pattern Recognition · Computer Science 2024-06-13 Phan Thi-Thu-Hong , Vo Quoc-Trinh , Nguyen Huu-Du

Giant panda (panda) is a highly endangered animal. Significant efforts and resources have been put on panda conservation. To measure effectiveness of conservation schemes, estimating its population size in wild is an important task. The…

Computer Vision and Pattern Recognition · Computer Science 2019-10-01 Wojciech Michal Matkowski , Adams Wai Kin Kong , Han Su , Peng Chen , Rong Hou , Zhihe Zhang