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Early detection of fish diseases and identifying the underlying causes are crucial for farmers to take necessary steps to mitigate the potential outbreak and thus to avert financial losses with apparent negative implications to the national…

Most artificial intelligence (AI) research have concentrated in high-income countries, where imaging data, IT infrastructures and clinical expertise are plentiful. However, slower progress has been made in limited-resource environments…

With the rapid advancement of internet technology, the adaptability of adolescents to online learning has emerged as a focal point of interest within the educational sphere. However, the academic community's efforts to develop predictive…

Machine Learning · Computer Science 2024-09-02 Mingwei Wang , Sitong Liu

For effective planning and management of water resources and implementation of the related strategies, it is important to ensure proper estimation of evaporation losses, especially in regions that are prone to drought. Changes in climatic…

Popular Physics · Physics 2021-10-12 Mustafa Al-Mukhtar

Early identification of drought stress in crops is vital for implementing effective mitigation measures and reducing yield loss. Non-invasive imaging techniques hold immense potential by capturing subtle physiological changes in plants…

Computer Vision and Pattern Recognition · Computer Science 2025-01-14 Aswini Kumar Patra , Lingaraj Sahoo

Water resources are essential for sustaining human livelihoods and environmental well being. Accurate water quality prediction plays a pivotal role in effective resource management and pollution mitigation. In this study, we assess the…

Machine Learning · Statistics 2023-10-10 Yinpu Li , Siqi Mao , Yaping Yuan , Ziren Wang , Yixin Kang , Yuanxin Yao

Objective: Early identification of ADHD is necessary to provide the opportunity for timely treatment. However, screening the symptoms of ADHD on a large scale is not easy. This study aimed to validate a video game (FishFinder) for the…

Machine Learning · Computer Science 2023-12-20 Zeinab Zakani , Hadi Moradi , Sogand Ghasemzadeh , Maryam Riazi , Fatemeh Mortazavi

Sleep is particularly important to the health of infants, children, and adolescents, and sleep scoring is the first step to accurate diagnosis and treatment of potentially life-threatening conditions. But pediatric sleep is severely…

Signal Processing · Electrical Eng. & Systems 2022-10-27 Harlin Lee , Aaqib Saeed

Smoking continues to be a major preventable cause of death worldwide, affecting millions through damage to the heart, metabolism, liver, and kidneys. However, current medical screening methods often miss the early warning signs of…

Machine Learning · Computer Science 2026-01-27 Vaskar Chakma , MD Jaheid Hasan Nerab , Abdur Rouf , Abu Sayed , Hossem MD Saim , Md. Nournabi Khan

The incidence rate for skin cancer has been steadily increasing throughout the world, leading to it being a serious issue. Diagnosis at an early stage has the potential to drastically reduce the harm caused by the disease, however, the…

Image and Video Processing · Electrical Eng. & Systems 2022-07-27 Soham Bhosale

In this paper we attempt to answer the following question: ``Is it possible to obtain reliable estimates for the prevalence of anemia rates in children under five years in the districts of Peru?'' Specifically, the interest of the present…

Applications · Statistics 2023-05-04 Anna Sikov , Jose Cerda-Hernandez

Energy conservation in buildings is a paramount concern to combat greenhouse gas emissions and combat climate change. The efficient management of room occupancy, involving actions like lighting control and climate adjustment, is a pivotal…

Machine Learning · Computer Science 2023-12-25 Siqi Mao , Yaping Yuan , Yinpu Li , Ziren Wang , Yuanxin Yao , Yixin Kang

Diabetes foot ulceration (DFU) and amputation are a cause of significant morbidity. The prevention of DFU may be achieved by the identification of patients at risk of DFU and the institution of preventative measures through education and…

Child malnutrition remains a global crisis, yet existing screening methods are laborious and poorly scalable, hindering early intervention. In this work, we present NutriScreener, a retrieval-augmented, multi-pose graph attention network…

Computer Vision and Pattern Recognition · Computer Science 2025-11-21 Misaal Khan , Mayank Vatsa , Kuldeep Singh , Richa Singh

Machine learning's application in solar-thermal desalination is limited by data shortage and inconsistent analysis. This study develops an optimized dataset collection and analysis process for the representative solar still. By…

Fetal brain imaging is a cornerstone of prenatal screening and early diagnosis of congenital anomalies. Knowledge of fetal gestational age is the key to the accurate assessment of brain development. This study develops an attention-based…

Computer Vision and Pattern Recognition · Computer Science 2018-12-19 Liyue Shen , Katie Shpanskaya , Edward Lee , Emily McKenna , Maryam Maleki , Quin Lu , Safwan Halabi , John Pauly , Kristen Yeom

Dry eye disease is a common disorder of the ocular surface, leading patients to seek eye care. Clinical signs and symptoms are currently used to diagnose dry eye disease. Metabolomics, a method for analyzing biological systems, has been…

Computer Vision and Pattern Recognition · Computer Science 2024-08-08 Sajad Amouei Sheshkal , Morten Gundersen , Michael Alexander Riegler , Øygunn Aass Utheim , Kjell Gunnar Gundersen , Hugo Lewi Hammer

An estimated 300 million people worldwide suffer from asthma, and this number is expected to increase to 400 million by 2025. Approximately 250,000 people die prematurely each year from asthma out of which, almost all deaths are avoidable.…

Computers and Society · Computer Science 2018-04-13 Saksham Kukreja

ADHD is a prevalent disorder among the younger population. Standard evaluation techniques currently use evaluation forms, interviews with the patient, and more. However, its symptoms are similar to those of many other disorders like…

Artificial Intelligence · Computer Science 2023-02-02 Abhishek Sharma , Arpit Jain , Shubhangi Sharma , Ashutosh Gupta , Prateek Jain , Saraju P. Mohanty

In this manuscript we analyze a data set containing information on children with Hodgkin Lymphoma (HL) enrolled on a clinical trial. Treatments received and survival status were collected together with other covariates such as demographics…

Quantitative Methods · Quantitative Biology 2021-03-29 Cédric Beaulac , Jeffrey S. Rosenthal , Qinglin Pei , Debra Friedman , Suzanne Wolden , David Hodgson
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