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Distributing government relief efforts after a flood is challenging. In India, the crops are widely affected by floods; therefore, making rapid and accurate crop damage assessment is crucial for effective post-disaster agricultural…

Computer Vision and Pattern Recognition · Computer Science 2026-01-08 Sanidhya Ghosal , Anurag Sharma , Sushil Ghildiyal , Mukesh Saini

Big Data Analytics has gained tremendous momentum in many sectors worldwide. Big Data has substantial influence in the field of Learning Analytics that may allow academic institutions to better understand the learners needs and proactively…

Computers and Society · Computer Science 2023-11-28 Sabbir Ahmed Chowdhury , Md Aminul Islam , Mostafa Azad Kamal

We describe a method to identify poor households in data-scarce countries by leveraging information contained in nationally representative household surveys. It employs standard statistical learning techniques---cross-validation and…

Machine Learning · Statistics 2017-11-21 Varun Kshirsagar , Jerzy Wieczorek , Sharada Ramanathan , Rachel Wells

Precision agriculture system is an arising idea that refers to overseeing farms utilizing current information and communication technologies to improve the quantity and quality of yields while advancing the human work required. The…

Machine Learning · Computer Science 2021-07-13 Satvik Garg , Pradyumn Pundir , Himanshu Jindal , Hemraj Saini , Somya Garg

Climate change in India is one of the most alarming problems faced by our community. Due to adverse and sudden changes in climate in past few years, mankind is at threat. Various impacts of climate change include extreme heat, changing…

Applications · Statistics 2022-01-26 Rutvij Wamanse , Tushuli Patil

The utility of aerial imagery (Satellite, Drones) has become an invaluable information source for cross-disciplinary applications, especially for crisis management. Most of the mapping and tracking efforts are manual which is…

Computer Vision and Pattern Recognition · Computer Science 2020-04-28 Ruchit Rawal , Prabhu Pradhan

Floods are one of nature's most catastrophic calamities which cause irreversible and immense damage to human life, agriculture, infrastructure and socio-economic system. Several studies on flood catastrophe management and flood forecasting…

The increasing prevalence of marine pollution during the past few decades motivated recent research to help ease the situation. Typical water quality assessment requires continuous monitoring of water and sediments at remote locations with…

Machine Learning · Computer Science 2022-03-08 Xiaoting Xu , Tin Lai , Sayka Jahan , Farnaz Farid

Environmental stresses such as drought and heat can cause substantial yield loss in agriculture. As such, hybrid crops that are tolerant to drought and heat stress would produce more consistent yields compared to the hybrids that are not…

Machine Learning · Computer Science 2019-12-06 Saeed Khaki , Zahra Khalilzadeh , Lizhi Wang

An application of the Soil Moisture Agricultural Drought Index (SMADI) at the global scale is presented. The index integrates surface soil moisture from the SMOS mission with land surface temperature (LST) and Normalized Difference…

Big streams of Earth images from satellites or other platforms (e.g., drones and mobile phones) are becoming increasingly available at low or no cost and with enhanced spatial and temporal resolution. This thesis recognizes the…

Machine Learning · Computer Science 2022-11-24 Vasileios Sitokonstantinou

The risk of extreme storm tides to Bangladesh's low-lying and densely populated coastal regions, already vulnerable to tropical cyclones, remains poorly quantified under a warming climate. Here, using a statistical-physical downscaling…

Atmospheric and Oceanic Physics · Physics 2025-01-06 Jiangchao Qiu , Sai Ravela , Kerry Emanuel

Glacier mapping is key to ecological monitoring in the hkh region. Climate change poses a risk to individuals whose livelihoods depend on the health of glacier ecosystems. In this work, we present a machine learning based approach to…

Computer Vision and Pattern Recognition · Computer Science 2020-12-10 Shimaa Baraka , Benjamin Akera , Bibek Aryal , Tenzing Sherpa , Finu Shresta , Anthony Ortiz , Kris Sankaran , Juan Lavista Ferres , Mir Matin , Yoshua Bengio

Accurate prediction of food delivery times significantly impacts customer satisfaction, operational efficiency, and profitability in food delivery services. However, existing studies primarily utilize static historical data and often…

Machine Learning · Computer Science 2025-03-20 Ananya Garg , Mohmmad Ayaan , Swara Parekh , Vikranth Udandarao

The operational flood forecasting system by Google was developed to provide accurate real-time flood warnings to agencies and the public, with a focus on riverine floods in large, gauged rivers. It became operational in 2018 and has since…

Breast cancer has rapidly increased in prevalence in recent years, making it one of the leading causes of mortality worldwide. Among all cancers, it is by far the most common. Diagnosing this illness manually requires significant time and…

Soil moisture is critical component of crop health and monitoring it can enable further actions for increasing yield or preventing catastrophic die off. As climate change increases the likelihood of extreme weather events and reduces the…

Image and Video Processing · Electrical Eng. & Systems 2020-04-28 Conrad James Foley , Sagar Vaze , Mohamed El Amine Seddiq , Alexey Unagaev , Natalia Efremova

The current availability of soil moisture data over large areas comes from satellite remote sensing technologies (i.e., radar-based systems), but these data have coarse resolution and often exhibit large spatial information gaps. Where data…

Machine Learning · Computer Science 2019-05-22 Danny Rorabaugh , Mario Guevara , Ricardo Llamas , Joy Kitson , Rodrigo Vargas , Michela Taufer

This work focuses on estimating soil properties from water moisture measurements. We consider simulated data generated by solving the initial-boundary value problem governing vertical infiltration in a homogeneous, bounded soil profile,…

Geophysics · Physics 2025-06-06 Konstantinos Kalimeris , Leonidas Mindrinos , Nikolaos Pallikarakis

Nowadays, Breast cancer has risen to become one of the most prominent causes of death in recent years. Among all malignancies, this is the most frequent and the major cause of death for women globally. Manually diagnosing this disease…

Machine Learning · Computer Science 2022-07-01 Taminul Islam , Arindom Kundu , Nazmul Islam Khan , Choyon Chandra Bonik , Flora Akter , Md Jihadul Islam
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