Results 41 to 50 of about 307,863 (250)

Predicting Poisson\u27s Ratio: A Study of Semi-supervised Anomaly Detection and Supervised Approaches [PDF]

, 2023
Auxetics are a rare class of materials that exhibit a negative Poisson\u27s ratio. The existence of these auxetic materials is rare but has a large number of applications in designing exotic materials.
Raheel, Hammad, Sownyak , Mondal
core   +1 more source

A proposed strategy in teaching literary texts based on the theory of successful intelligence to develop literary analysis skills for secondary school students [PDF]

مجلة بحوث التعليم والإبتكار, 2022
The current study aimed to reveal the effectiveness of using the successful intelligence strategy in developing some literary text analysis skills among first-year secondary students.
Hadeer Ahmed Zakaria Imam, Supervised by: Dr/Nora Muhammad Amin Zahran, Supervised by: Prof.Dr/Reem Ahmed Abdel Azim   +2 more
doaj   +1 more source

Combined Artificial Intelligence Approaches Analyzing 1000 Conservative Patients with Back Pain—A Methodological Pathway to Predicting Treatment Efficacy and Diagnostic Groups

Diagnostics, 2021
Patients with back pain are common and present a challenge in everyday medical practice due to the multitude of possible causes and the individual effects of treatments.
André Wirries, Florian Geiger, Ahmed Hammad, Andreas Redder, Ludwig Oberkircher, Steffen Ruchholtz, Ingmar Bluemcke, Samir Jabari   +7 more
doaj   +1 more source

The completeness of intervention descriptions in randomised trials of supervised exercise training in peripheral arterial disease [PDF]

, 2016
Research supports the use of supervised exercise training as a primary therapy for improving the functional status of people with peripheral arterial disease (PAD).
Sally Brabyn (2552593), Emily Peckham, Tew, Garry A, Cheng, Xianwu, Tew, Garry, Cook, Liz, Liz Cook, Emily Peckham (2552590), Garry A Tew, Peckham, Emily, Garry A. Tew (2552584), Liz Cook (2552587), Brabyn, Sally, Sally Brabyn   +13 more
core   +1 more source

Land-Use and Land-Cover Changes in Cottbus City and Spree-Neisse District, Germany, in the Last Two Decades: A Study Using Remote Sensing Data and Google Earth Engine

Remote Sensing
Regular detection of land-use and land-cover (LULC) changes with high accuracy is necessary for natural resources management and sustainable urban planning.
Rezwan Ahmed, Md. Abu Zafor, Katja Trachte   +2 more
doaj   +1 more source

Automated Classification of Atherosclerotic Radiomics Features in Coronary Computed Tomography Angiography (CCTA)

Diagnostics, 2022
Radiomics is the process of extracting useful quantitative features of high-dimensional data that allows for automated disease classification, including atherosclerotic disease.
Mardhiyati Mohd Yunus, Ahmad Khairuddin Mohamed Yusof, Muhd Zaidi Ab Rahman, Xue Jing Koh, Akmal Sabarudin, Puteri N. E. Nohuddin, Kwan Hoong Ng, Mohd Mustafa Awang Kechik, Muhammad Khalis Abdul Karim   +8 more
doaj   +1 more source

Preliminary Results of an Exercise Program After Laparoscopic Resective Colorectal Cancer Surgery in Non-Metastatic Adenocarcinoma: A Pilot Study of a Randomized Control Trial

Medicina, 2020
Background and objectives: Performing physical exercise after a colorectal cancer diagnosis is associated with lower mortality related to the tumor itself.
Gabriele Mascherini, Maria Novella Ringressi, Jorge Castizo-Olier, Georgian Badicu, Alfredo Irurtia, Laura Stefani, Giorgio Galanti, Antonio Taddei   +7 more
doaj   +1 more source

Land Cover and Land Use Classification with TWOPAC: towards Automated Processing for Pixel- and Object-Based Image Classification

Remote Sensing, 2012
We present a novel and innovative automated processing environment for the derivation of land cover (LC) and land use (LU) information. This processing framework named TWOPAC (TWinned Object and Pixel based Automated classification Chain) enables the ...
Stefan Dech, Vo Quoc Tuan, Steffen Gebhardt, Claudia Kuenzer, Thilo Wehrmann, Juliane Huth   +5 more
doaj   +1 more source

Combining Labelled and Unlabelled Data in the Design of Pattern Classification Systems [PDF]

There has been much interest in applying techniques that incorporate knowledge from unlabelled data into a supervised learning system but less effort has been made to compare the effectiveness of different approaches on real world problems and to ...
Gabrys, Bogdan
core   +8 more sources

Research on electricity theft detection in distributed photovoltaic system based on hybrid deep learning

Diance yu yibiao
Due to the diverse grid-connection methods and flexible operation modes of distributed photovoltaic system, electricity theft behaviors are highly covert, making it urgent to develop efficient detection methods.
WU Xufeng, OU Yandai, ZHANG Silu, ZHUANG Wanling, WEI Huajie   +4 more
doaj   +1 more source