Results 61 to 70 of about 45,571 (196)

Dynamic Adaptive Label Assignment for Tiny Object Detection in Remote Sensing Images

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT With the development of unmanned aerial vehicle and satellite technology, the application of tiny object detection in remote sensing images is becoming increasingly widespread. Although significant progress has been made in the accuracy and speed of object detection in recent years, performance declines sharply when general object detectors ...
Shuohao Shi, Qiang Fang, Xin Xu
wiley   +1 more source

STRATEGI PENINGKATAN KUALITAS LEATHER DENGAN METODE LEAN SIX SIGMA DAN FUZZY FMEA (STUDI KASUS DI SUMBER REJEKI)

Jurnal Teknologi Pertanian, 2018
Kegagalan produk mengandung unsur ketidakpastian yang disebabkan selama proses produksi berlangsung. Metode Lean Six Sigma diharapkan mampu mengidentifikasi waste yang terjadi pada proses produksi dan mendapatkan kategori waste yang berpengaruh pada ...
Rindha Ayu Roesmasari, Imam Santoso, Sucipto   +2 more
doaj   +1 more source

4317 Using Failure Modes and Effects Analysis to Guide Adaptation of an Evidence-Based Parenting Program for Mothers with Substance Use Disorders

Journal of Clinical and Translational Science, 2020
OBJECTIVES/GOALS: To identify possible failures that could occur in the delivery of an evidence-based parenting program for mothers with substance use disorders (SUD) through existing home-visiting services, and to develop solutions to the most ...
Elizabeth Peacock-Chambers, Peter Friedmann, Nancy Byatt, Nancy Suchman, Emily Feinberg   +4 more
doaj   +1 more source

Risk factors for silent cerebral infarction in immune‐mediated thrombotic thrombocytopenic survivors

British Journal of Haematology, EarlyView.
Summary Immune‐mediated thrombotic thrombocytopenic purpura (iTTP) survivors are predisposed to silent cerebral infarctions (SCI) defined as radiological evidence of brain ischaemia without focal symptoms. This study examined risk factors associated with SCI burden in iTTP survivors during remission.
Binish Javed, Jia Yu, Jenna Brown, Jay Meade, Gloria F. Gerber, Michael B. Streiff, Peggy Kraus, Samuel Merrill, Allyson M. Pishko, Jennifer Yui, Rakhi P. Naik, Robert A. Brodsky, Doris D. Lin, Shruti Chaturvedi   +13 more
wiley   +1 more source

Risk Assessment by FMEA Method and the Impact of Deploying an Integrated Management System (IMS) Risk Priority Number (RPN)

بهداشت کار و ارتقای سلامت, 2018
Introduction: Risk assessment an organized approach to detecting risks and estimating risk has been acceptable to reduce risk. Also, due to the increasing trend of implementation of the integrated management system (IMS) in different industries to ...
Rohollah FALLAH MADVARI, Alireza FALLAH MADVARI, Mohsen MOSAFARKHANI, Yousef MOHAMMADIAN, Fereydoon LAAL   +4 more
doaj  

Cooperating RPN's Improve Few-Shot Object Detection

, 2020
Learning to detect an object in an image from very few training examples - few-shot object detection - is challenging, because the classifier that sees proposal boxes has very little training data. A particularly challenging training regime occurs when there are one or two training examples.
Zhang, Weilin, Wang, Yu-Xiong, Forsyth, David A.   +2 more
openaire   +2 more sources

Randomised trial on the economic impact of proficiency‐based progression vs conventional robotic surgical training

BJU International, EarlyView.
Objective To evaluate the cost‐effectiveness of proficiency‐based progression (PBP) training compared to conventional surgical training approaches, and to determine whether PBP training implementation is economically justified when scaled to large numbers of trainees.
Stefano Puliatti, Natali Rodriguez Peñaranda, Marco Amato, Ruben De Groote, Rui Farinha, Brendan Bunting, Ben van Cleynenbreugel, Alexandre Mottrie, Anthony G. Gallagher   +8 more
wiley   +1 more source

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

, 2015
State-of-the-art object detection networks depend on region proposal algorithms to hypothesize object locations. Advances like SPPnet and Fast R-CNN have reduced the running time of these detection networks, exposing region proposal computation as a ...
Girshick, Ross, He, Kaiming, Ren, Shaoqing, Sun, Jian   +3 more
core  

Textile and colour defect detection using deep learning methods

Coloration Technology, EarlyView.
Abstract Recent advances in deep learning (DL) have significantly enhanced the detection of textile and colour defects. This review focuses specifically on the application of DL‐based methods for defect detection in textile and coloration processes, with an emphasis on object detection and related computer vision (CV) tasks.
Hao Cui, Abdel‐Fattah Seyam, Renzo Shamey   +2 more
wiley   +1 more source

Beyond the Ratios: Evidence for Optimal Minimum Nurse‐Patient‐Ratios in Medical‐Surgical Settings

Journal of Advanced Nursing, EarlyView.
ABSTRACT Aim To evaluate the maximum number of patients per nurse before quality and safety outcomes deteriorate in medical‐surgical settings. Design A secondary analysis of cross‐sectional survey data. Methods We analysed data from 609 direct care nurses working in British Columbia's medical‐surgical areas.
Farinaz Havaei, Claire Song, Danjie Zou, Amery D. Wu, Maura MacPhee, Elizabeth Saewyc   +5 more
wiley   +1 more source