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Accurate waste disposal, at the point of disposal, is crucial to fighting climate change. When materials that could be recycled or composted get diverted into landfills, they cause the emission of potent greenhouse gases such as methane.…

Machine Learning · Computer Science 2021-01-18 Yash Narayan

This paper attempts to provide the reader a place to begin studying the application of computer vision and machine learning to gastrointestinal (GI) endoscopy. They have been classified into 18 categories. It should be be noted by the…

Medical Physics · Physics 2019-05-01 Anant S. Vemuri

When animals are transported and pass through customs, some of them may have dangerous infectious diseases. Typically, due to the cost of testing, not all animals are tested: a reasonable selection must be made. How to test effectively…

Methodology · Statistics 2013-01-04 Matthias C. M. Troffaes , John Paul Gosling

Deep learning has become an extremely powerful tool for complex tasks such as image classification and segmentation. The medical industry often lacks high-quality, balanced datasets, which can be a challenge for deep learning algorithms…

Image and Video Processing · Electrical Eng. & Systems 2024-03-26 Muhammad Shoaib Farooq , Ayesha Tariq

Giardia lamblia is a flagellate intestinal protozoan with global distribution causing the disease known as giardiasis. This parasite is responsable for 35.1% of outbreaks of diarrhea caused by contaminated water which and mainly affects…

Optimization and Control · Mathematics 2024-08-23 Victor Hugo Pereira Rodrigues , Maria Fantinatti , Tiago Roux Oliveira , Wilton dos Santos Freitas

Insect pests recognition is necessary for crop protection in many areas of the world. In this paper we propose an automatic classifier based on the fusion between saliency methods and convolutional neural networks. Saliency methods are…

Computer Vision and Pattern Recognition · Computer Science 2020-10-01 Loris Nanni , Gianluca Maguolo , Fabio Pancino

High-throughput sequencing technology provides unprecedented opportunities to quantitatively explore human gut microbiome and its relation to diseases. Microbiome data are compositional, sparse, noisy, and heterogeneous, which pose serious…

Methodology · Statistics 2020-10-12 Fangting Zhou , Kejun He , Qiwei Li , Robert S. Chapkin , Yang Ni

This work presents twelve fine-tuned deep learning architectures to solve the bacterial classification problem over the Digital Image of Bacterial Species Dataset. The base architectures were mainly published as mobile or efficient…

Computer Vision and Pattern Recognition · Computer Science 2021-06-14 R. Gallardo García , S. Jarquín Rodríguez , B. Beltrán Martínez , C. Hernández Gracidas , R. Martínez Torres

Trypanosoma cruzi and Giardia intestinalis are two human pathogens and protozoan parasites responsible for the diseases Chagas disease and giardiasis, respectively. Both diseases cause suffering and illness in several million individuals.…

Genomics · Quantitative Biology 2012-11-20 Oscar Franzén

The human body consists of microbiomes associated with the development and prevention of several diseases. These microbial organisms form several complex interactions that are informative to the scientific community for explaining disease…

Methodology · Statistics 2024-04-16 Tejasv Bedi , Bencong Zhu , Michael L. Neugent , Kevin C. Lutz , Nicole J. De Nisco , Qiwei Li

It is estimated that there are more than 300,000 species of vascular plants in the world. Increasing our knowledge of these species is of paramount importance for the development of human civilization (agriculture, construction,…

Computer Vision and Pattern Recognition · Computer Science 2025-09-23 Herve Goeau , Pierre Bonnet , Alexis Joly

The development of practical and robust automated diagnostic systems for identifying plant pests is crucial for efficient agricultural production. In this paper, we first investigate three key research questions (RQs) that have not been…

Computer Vision and Pattern Recognition · Computer Science 2024-07-26 Ryosuke Wayama , Yuki Sasaki , Satoshi Kagiwada , Nobusuke Iwasaki , Hitoshi Iyatomi

Global biodiversity is declining at an unprecedented rate, yet little information is known about most species and how their populations are changing. Indeed, some 90% of Earth's species are estimated to be completely unknown. Machine…

Computer Vision and Pattern Recognition · Computer Science 2025-11-18 Yuyan Chen , Nico Lang , B. Christian Schmidt , Aditya Jain , Yves Basset , Sara Beery , Maxim Larrivée , David Rolnick

Population growth in the last decades has resulted in the production of about 2.01 billion tons of municipal waste per year. The current waste management systems are not capable of providing adequate solutions for the disposal and use of…

Computer Vision and Pattern Recognition · Computer Science 2021-04-05 Jaime Caballero , Francisco Vergara , Randal Miranda , José Serracín

Pistachio nut is mainly consumed as raw, salted or roasted because of its high nutritional properties and favorable taste. Pistachio nuts with shell and kernel defects, besides not being acceptable for a consumer, are also prone to insects…

Computer Vision and Pattern Recognition · Computer Science 2019-07-01 Mehdi Abbaszadeh , Aliakbar Rahimifard , Mohammadali Eftekhari , Hossein Ghayoumi Zadeh , Ali Fayazi , Ali Dini , Mostafa Danaeian

Software bugs cost the global economy billions of dollars annually and claim ~50\% of the programming time from software developers. Locating these bugs is crucial for their resolution but challenging. It is even more challenging in…

Software Engineering · Computer Science 2025-07-23 Sigma Jahan , Mehil B. Shah , Mohammad Masudur Rahman

Keratitis is an inflammatory corneal condition responsible for 10% of visual impairment in low- and middle-income countries (LMICs), with bacteria, fungi, or amoeba as the most common infection etiologies. While an accurate and timely…

Computer Vision and Pattern Recognition · Computer Science 2024-11-15 Maria Miguel Beirão , João Matos , Tiago Gonçalves , Camila Kase , Luis Filipe Nakayama , Denise de Freitas , Jaime S. Cardoso

Traditionally, diagnosis and treatment of fungal infections in humans depend heavily on face-to-face consultations or examinations made by specialized laboratory scientists known as mycologists. In many cases, such as the recent…

Image and Video Processing · Electrical Eng. & Systems 2021-09-16 Camilo Javier Pineda Sopo , Farshid Hajati , Soheila Gheisari

Effectively determining malaria parasitemia is a critical aspect in assisting clinicians to accurately determine the severity of the disease and provide quality treatment. Microscopy applied to thick smear blood smears is the de facto…

Image and Video Processing · Electrical Eng. & Systems 2020-12-04 Rose Nakasi , Aminah Zawedde , Ernest Mwebaze , Jeremy Francis Tusubira , Gilbert Maiga

The target of this paper is to recommend a way for Automated classification of Fish species. A high accuracy fish classification is required for greater understanding of fish behavior in Ichthyology and by marine biologists. Maintaining a…

Computer Vision and Pattern Recognition · Computer Science 2018-05-28 Dhruv Rathi , Sushant Jain , Dr. S. Indu