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The large-scale deployment of modern phishing attacks relies on the automatic exploitation of vulnerable websites in the wild, to maximize profit while hindering attack traceability, detection and blacklisting. To the best of our knowledge,…

Cryptography and Security · Computer Science 2017-07-04 Igino Corona , Battista Biggio , Matteo Contini , Luca Piras , Roberto Corda , Mauro Mereu , Guido Mureddu , Davide Ariu , Fabio Roli

The detection and prevention of illegal fishing is critical to maintaining a healthy and functional ecosystem. Recent research on ship detection in satellite imagery has focused exclusively on performance improvements, disregarding…

Computer Vision and Pattern Recognition · Computer Science 2022-12-13 Arthur Van Meerbeeck , Jordy Van Landeghem , Ruben Cartuyvels , Marie-Francine Moens

Detecting butterfly hybrids requires knowledge of the parent subspecies, and the process can be tedious when encountering a new subspecies. This study focuses on a specific scenario where a model trained to recognize hybrid species A can…

Computational Engineering, Finance, and Science · Computer Science 2025-04-03 Bo-Kai Ruan , Yi-Zeng Fang , Hong-Han Shuai , Juinn-Dar Huang

We presents in this paper a novel fish classification methodology based on a combination between robust feature selection, image segmentation and geometrical parameter techniques using Artificial Neural Network and Decision Tree. Unlike…

Computer Vision and Pattern Recognition · Computer Science 2009-12-08 Mutasem Khalil Sari Alsmadi , Khairuddin Bin Omar , Shahrul Azman Noah , Ibrahim Almarashdah

In dealing with the problem of recognition of handwritten character patterns of varying shapes and sizes, selection of a proper feature set is important to achieve high recognition performance. The current research aims to evaluate the…

Computer Vision and Pattern Recognition · Computer Science 2014-10-03 Nibaran Das , Sandip Pramanik , Subhadip Basu , Punam Kumar Saha , Ram Sarkar , Mahantapas Kundu , Mita Nasipuri

Scam detection remains a critical challenge in cybersecurity as adversaries craft messages that evade automated filters. We propose a Hierarchical Scam Detection System (HSDS) that combines a lightweight multi-model voting front end with a…

Cryptography and Security · Computer Science 2025-11-11 Chen-Wei Chang , Shailik Sarkar , Hossein Salemi , Hyungmin Kim , Shutonu Mitra , Hemant Purohit , Fengxiu Zhang , Michin Hong , Jin-Hee Cho , Chang-Tien Lu

Marine scientists use remote underwater video recording to survey fish species in their natural habitats. This helps them understand and predict how fish respond to climate change, habitat degradation, and fishing pressure. This information…

Computer Vision and Pattern Recognition · Computer Science 2022-04-19 Alzayat Saleh , Marcus Sheaves , Mostafa Rahimi Azghadi

The persistent growth in phishing and the rising volume of phishing websites has led to individuals and organizations worldwide becoming increasingly exposed to various cyber-attacks. Consequently, more effective phishing detection is…

Cryptography and Security · Computer Science 2020-04-09 Suleiman Y. Yerima , Mohammed K. Alzaylaee

Intentionally luring readers to click on a particular content by exploiting their curiosity defines a title as clickbait. Although several studies focused on detecting clickbait titles in English articles, low resource language like Bangla…

Computation and Language · Computer Science 2023-11-13 Md. Motahar Mahtab , Monirul Haque , Mehedi Hasan , Farig Sadeque

Skin diseases are a major public health concern worldwide, and their detection is often challenging without access to dermatological expertise. In countries like Bangladesh, which is highly populated, the number of qualified skin…

Computer Vision and Pattern Recognition · Computer Science 2026-03-27 Sazzad Hossain , Saiful Islam , Muhammad Ibrahim , Md. Rasel Ahmed , Md Shuayb , Ahmedul Kabir

Fish diseases in aquaculture constitute a significant hazard to nutriment security. Identification of infected fishes in aquaculture remains challenging to find out at the early stage due to the dearth of necessary infrastructure. The…

Computer Vision and Pattern Recognition · Computer Science 2021-05-11 Md Shoaib Ahmed , Tanjim Taharat Aurpa , Md. Abul Kalam Azad

In this paper, we present novel synthetic training data called self-blended images (SBIs) to detect deepfakes. SBIs are generated by blending pseudo source and target images from single pristine images, reproducing common forgery artifacts…

Computer Vision and Pattern Recognition · Computer Science 2022-04-19 Kaede Shiohara , Toshihiko Yamasaki

As obesity rates continue to increase, automated calorie tracking has become a vital tool for people seeking to maintain a healthy lifestyle or adhere to a diet plan. Although numerous research efforts have addressed this issue, existing…

Computer Vision and Pattern Recognition · Computer Science 2025-09-03 Aparup Dhar , MD Tamim Hossain , Pritom Barua

Many adult content websites incorporate social networking features. Although these are popular, they raise significant challenges, including the potential for users to "catfish", i.e., to create fake profiles to deceive other users. This…

Social and Information Networks · Computer Science 2017-06-30 Walid Magdy , Yehia Elkhatib , Gareth Tyson , Sagar Joglekar , Nishanth Sastry

During the last three decades, shrimp has remained one of the major export items in Bangladesh. It contributes to the development of this country by enhancing export earnings and promoting employment. However, coastal wetlands and…

General Economics · Economics 2024-09-04 Mohammad Nur Nobi , A N M Moinul Islam

Mineral identification using remote sensing technologies is becoming more dominant in this field since it saves time by demonstrating a more effective way for land resources survey. In such remote sensing technologies, hyperspectral remote…

Image and Video Processing · Electrical Eng. & Systems 2022-12-09 Nazmul Hasan , Kazi Mahmudul Hasan , Md. Tahsinul Islam , Shahnewaz Siddique

Accurate assessment of fish freshness remains a major challenge in the food industry, with direct consequences for product quality, market value, and consumer health. Conventional sensory evaluation is inherently subjective, inconsistent,…

Artificial Intelligence · Computer Science 2026-01-23 Phi-Hung Hoang , Nam-Thuan Trinh , Van-Manh Tran , Thi-Thu-Hong Phan

Phishing is one of the most effective ways in which cybercriminals get sensitive details such as credentials for online banking, digital wallets, state secrets, and many more from potential victims. They do this by spamming users with…

Cryptography and Security · Computer Science 2024-11-27 Tosin Ige , Christopher Kiekintveld , Aritran Piplai , Amy Waggler , Olukunle Kolade , Bolanle Hafiz Matti

With over 2 million new cases identified annually, skin cancer is the most prevalent type of cancer globally and the second most common in Bangladesh, following breast cancer. Early detection and treatment are crucial for enhancing patient…

Image and Video Processing · Electrical Eng. & Systems 2025-01-31 Rafiul Islam , Jihad Khan Dipu , Mehedi Hasan Tusar

In both terrestrial and marine ecology, physical tagging is a frequently used method to study population dynamics and behavior. However, such tagging techniques are increasingly being replaced by individual re-identification using image…

Computer Vision and Pattern Recognition · Computer Science 2023-01-03 Ørjan Langøy Olsen , Tonje Knutsen Sørdalen , Morten Goodwin , Ketil Malde , Kristian Muri Knausgård , Kim Tallaksen Halvorsen