Results 91 to 100 of about 166,346,941 (209)
Abstract This study introduces Disease Vector Intelligence (DVI), an explainable Machine Learning (ML) framework developed within the EYWA (EarlY WArning system for mosquito‐borne diseases) ecosystem. DVI integrates big Earth Observation (EO), socioeconomic, and estimated mosquito abundance data to predict the presence or absence of West Nile Virus ...
Dimitrios Sainidis +2 more
wiley +1 more source
In this article, we consider using time-of-arrival (TOA) measurements from a single moving receiver to locate a moving target at constant velocity that emits a periodic signal with unknown signal period.
Yanbin Zou, Jingna Fan, Zekai Zhang
doaj +1 more source
Maximum likelihood localization: When does it fail?
Maximum likelihood is a criterion often used to derive localization algorithms. In particular, in this paper we focus on a distance-based algorithm for the localization of nodes in static wireless networks. Assuming that Ultra Wide Band (UWB) signals are
Stefania Monica, Gianluigi Ferrari
doaj +1 more source
Ferric Chloride: The Venusian Unknown UV Absorber?
Abstract Near‐ultraviolet imaging of the planet Venus reveals inhomogeneous absorption features in the otherwise bright clouds. This absorption has been studied for nearly 100 years, but identification of the near‐UV absorber remains one of the largest open questions in Venusian research.
Joanna V. Egan +8 more
wiley +1 more source
PENENTUAN POSISI USER PADA SISTEM KOMUNIKASI SELULER DENGAN METODA TIME OF ARRIVAL (TOA) DAN TIME DIFFERENCE OF ARRIVAL (TDOA) [PDF]
Penentuan posisi user pada sistem komunikasi seluler saat ini menjadi hal yang sangat penting karena banyak sekali keuntungannya terutama untuk memantau posisi kejadian-kejadian luar biasa seperti pelaku kejahatan, tempat kebakaran, bencana kerusuhan dan
Renyati, Renyati +4 more
core
Abstract Desert cities in the U.S. Southwest experience the nation's highest aerosol burdens, but how air pollution co‐evolves with hydroclimatic–LULC metrics and racial/ethnic exposure dynamics remains unclear. We developed 30 m Landsat‐derived summer aerosol optical depth (AOD) (2000–2020) for Phoenix, used explainable machine learning to attribute ...
Yuanhui Zhu +5 more
wiley +1 more source
The central detector of the KASCADE experiment is equipped with a trigger and timing facility, which enables measurements of the arrival time distributions of muons hitting the central detector.
M. Foller +2 more
core
High-Precision Indoor Localization via Dual-Modal AOA/TOA Fusion with Deep Learning and Particle Filters [PDF]
As the era of IoT and artificial intelligence advances, the demand for high-precision indoor positioning systems continues to grow. Achieving accurate positioning in indoor environments remains challenging due to the presence of obstacles and signal ...
X. Yao, Z. Xu, F. Qiang
doaj
Disaster Schooling Experiences and Emergent Crises: Lessons From Puerto Rico
ABSTRACT This paper examines the disaster schooling experiences of Puerto Rican educators, families, and students across multiple crises following Hurricane Maria. Drawing on 11 months of ethnographic research, we analyze how schooling unfolded across disasters and how long‐standing vulnerabilities and structural inequalities shaped responses. Findings
Melissa Colón +2 more
wiley +1 more source
Body condition of shorebirds upon arrival at their Siberian breeding grounds [PDF]
Arctic breeding shorebirds carry substantial body stores on their long-distance migrations from their non-breeding grounds. Upon arrival at the breeding area the remains of these stores can be used for egg formation, insurance against poor feeding ...
Klaassen, Raymond +11 more
core +2 more sources

