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Insect pests continue to bring a serious threat to crop yields around the world, and traditional methods for monitoring them are often slow, manual, and difficult to scale. In recent years, deep learning has emerged as a powerful solution,…

Computer Vision and Pattern Recognition · Computer Science 2025-08-11 Muhammad Hassam Ejaz , Muhammad Bilal , Usman Habib , Muhammad Attique , Tae-Sun Chung

The aquaculture industry, strongly reliant on shrimp exports, faces challenges due to viral infections like the White Spot Syndrome Virus (WSSV) that severely impact output yields. In this context, computer vision can play a significant…

Computer Vision and Pattern Recognition · Computer Science 2023-08-09 Lorenzo S. Querol , Macario O. Cordel , Dan Jeric A. Rustia , Mary Nia M. Santos

Analog meters equipped with one or multiple pointers are wildly utilized to monitor vital devices' status in industrial sites for safety concerns. Reading these legacy meters {\bi autonomously} remains an open problem since estimating…

Robotics · Computer Science 2021-06-01 Zhipeng Dong , Yi Gao , Yunhui Yan , Fei Chen

Malaria remains a prevalent health concern in regions with tropical and subtropical climates. The cause of malaria is the Plasmodium parasite, which is transmitted through the bites of infected female Anopheles mosquitoes. Traditional…

Computer Vision and Pattern Recognition · Computer Science 2025-12-30 Md. Ismiel Hossen Abir , Awolad Hossain

The early identification of diseases in cocoa pods is an important task to guarantee the production of high-quality cocoa. The use of artificial intelligence techniques such as machine learning, computer vision and deep learning are…

Computer Vision and Pattern Recognition · Computer Science 2024-01-03 Darlyn Buenaño Vera , Byron Oviedo , Washington Chiriboga Casanova , Cristian Zambrano-Vega

Nematode worms are one of most abundant metazoan groups on the earth, occupying diverse ecological niches. Accurate recognition or identification of nematodes are of great importance for pest control, soil ecology, bio-geography, habitat…

Quantitative Methods · Quantitative Biology 2021-03-16 Xuequan Lu , Yihao Wang , Sheldon Fung , Xue Qing

Chronic Wasting Disease (CWD) is a neurological disease impacting deer, elk, moose, and other cervid populations and is caused by a misfolded protein known as a prion. CWD is difficult to control due to the persistence of prions in the…

Populations and Evolution · Quantitative Biology 2026-05-28 Cody E. FitzGerald , James P. Keener

Dengue control in India is a challenging task due to complex healthcare settings. In yesteryears, an amplification of dengue infections in India posed the need for introspection of existing dengue control policies. Prior understanding of…

Populations and Evolution · Quantitative Biology 2021-06-29 Indrajit Ghosh , Pankaj Kumar Tiwari , Joydev Chattopadhyay

Drug repurposing can accelerate the identification of effective compounds for clinical use against SARS-CoV-2, with the advantage of pre-existing clinical safety data and an established supply chain. RNA viruses such as SARS-CoV-2…

Agriculture plays an important role in the food and economy of Bangladesh. The rapid growth of population over the years also has increased the demand for food production. One of the major reasons behind low crop production is numerous…

Computer Vision and Pattern Recognition · Computer Science 2023-09-13 Hasin Rehana , Muhammad Ibrahim , Md. Haider Ali

The proposed solution is Deep Learning Technique that will be able classify three types of tea leaves diseases from which two diseases are caused by the pests and one due to pathogens (infectious organisms) and environmental conditions and…

Computer Vision and Pattern Recognition · Computer Science 2025-10-28 Nabajyoti Borah , Raju Moni Borah , Bandan Boruah , Purnendu Bikash Acharjee , Sajal Saha , Ripjyoti Hazarika

Android, the most popular mobile OS, has around 78% of the mobile market share. Due to its popularity, it attracts many malware attacks. In fact, people have discovered around one million new malware samples per quarter, and it was reported…

Cryptography and Security · Computer Science 2016-12-13 Mingshen Sun , Xiaolei Li , John C. S. Lui , Richard T. B. Ma , Zhenkai Liang

Artificial Intelligence applications have shown promise in the management of pandemics and have been widely used to assist the identification, classification, and diagnosis of medical images. In response to the global outbreak of Monkeypox…

Computer Vision and Pattern Recognition · Computer Science 2024-04-29 Rayner Kay Jin Tan , Dilruk Perera , Salomi Arasaratnam , Yudara Kularathne

Viruses are submicroscopic agents that can infect all kinds of lifeforms and use their hosts' living cells to replicate themselves. Despite having some of the simplest genetic structures among all living beings, viruses are highly…

Computer Vision and Pattern Recognition · Computer Science 2024-05-27 Niloy Sikder , Md. Al-Masrur Khan , Anupam Kumar Bairagi , Mehedi Masud , Jun Jiat Tiang , Abdullah-Al Nahid

Rice is the number one staple food in the country, as this serves as the primary livelihood for thousands of Filipino households. However, as the tradition continues, farmers are not familiar with the different types of rice leaf diseases…

Computer Vision and Pattern Recognition · Computer Science 2023-01-16 Harold Costales , Arpee Callejo-Arruejo , Noel Rafanan

The existing variants of the Differential Evolution (DE) algorithm come with certain limitations, such as poor local search and susceptibility to premature convergence. This study introduces Adaptive Differential Evolution with…

Neural and Evolutionary Computing · Computer Science 2023-12-25 Sarit Maitra

Avian botulism is a paralytic bacterial disease in birds often leading to high fatality. In-vitro diagnostic techniques such as Mouse Bioassay, ELISA, PCR are usually non-preventive, post-mortem in nature, and require invasive sample…

Quantitative Methods · Quantitative Biology 2022-11-18 Narayani Bhatia , Devang Mahesh , Jashandeep Singh , Manan Suri

There is general agreement that the former (breeding) macrohabitat of the Asian tiger mosquito, Aedes albopictus (synonym: Stegomyia albopicta) has been described as phytotelmata in the forested areas of Southeast Asia, however, this has…

Populations and Evolution · Quantitative Biology 2016-12-01 Aljoscha Kress

Wide use and availability of the machine learning and computer vision techniques allows development of relatively complex monitoring systems in many domains. Besides the traditional industrial domain, new application appears also in biology…

Computer Vision and Pattern Recognition · Computer Science 2023-09-15 Simon Bilik , Tomas Zemcik , Lukas Kratochvila , Dominik Ricanek , Milos Richter , Sebastian Zambanini , Karel Horak

Various defense schemes --- which determine the presence of an attack on the in-vehicle network --- have recently been proposed. However, they fail to identify which Electronic Control Unit (ECU) actually mounted the attack. Clearly,…

Cryptography and Security · Computer Science 2017-08-29 Kyong-Tak Cho , Kang Shin