Hourly precipitation over a region is often simultaneously simulated by numerical models and observed by multiple data sources.An accurate precipitation representation based on all available information is a valuable result for numerous applications and a critical aspect of climate monitoring.The inverse problem theory offers an ideal framework for

Spam detection has been a topic of extensive research; however, there has been limited focus on multimodal spam detection.In this study, we introduce a novel approach for multilingual multimodal spam detection, presenting the Multilingual and Multimodal Spam Detection Model combining Text and Document Images (MMTD).Unlike previous methods, our prop

Diving thyroid nodules are a limitation of radiofrequency ablation because the mediastinal component cannot be adequately identified by ultrasound (US).We aim to describe a new technique, the iceberg technique, to overcome this issue and explain our three-year experience of using this novel method.The iceberg technique consists of a two-stage treat

Remote Sensing Images (RSIs) often have extremely wide width and abundant terrain.In order to achieve rapid object detection in large RSIs, in this paper, a Deep Hash Assisted Network (DHAN) is constructed by introducing a hashing encoding of images in a two-stage deep neural network.Different with the available detection networks, DHAN first locat

Abstract BackgroundTotal knee arthroplasty (TKA) is a cost-effective surgical intervention for painful knee osteoarthritis sensationnel kiyari in older adults, but postsurgery rehabilitation access is limited.Telerehabilitation offers a solution, but existing models require significant therapist involvement and a costly setup.A personalized smartph