Results 11 to 20 of about 2,663,717 (282)
Smell-Aware Bug Classification
IEEE AccessCode smell indicates inadequacies in design and implementation choices. Code smells harm software maintainability including effects on components’ bug proneness and code quality has been demonstrated in previous studies.
Khyber +5 more
doaj +3 more sources
Overlap Aware Compressed Signal Classification [PDF]
IEEE Access, 2020 Compressed signal processing (CSP) is a branch of compressive sensing (CS), which gives a direction to solve a class of signal processing problems directly from the compressive measurements of a signal.
Meenu Rani +3 more
doaj +3 more sources
Context-Aware Sliding Window for Sentiment Classification [PDF]
IEEE Access, 2020 Sentiment classification is an active area of research with applications in many domains. Many researchers in the past have proposed techniques to identify sentiments with reasonable accuracy.
Muhammad Ali Masood +2 more
doaj +3 more sources
A context-aware tour guide: user implications [PDF]
, 2007 Copyright @ 2007 IOS PressAlthough examples of tourist guides abound, the role of context aware feedback in such systems is an issue that has been insufficiently explored.
Serif, T. +7 more
core +6 more sources
MCUa: Multi-Level Context and Uncertainty Aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification [PDF]
, 2022 Breast histology image classification is a crucial step in the early diagnosis of breast cancer. In breast pathological diagnosis, Convolutional Neural Networks (CNNs) have demonstrated great success using digitized histology slides.
Nahavandi, Saeid +6 more
core +1 more source
Locality-Aware Hyperspectral Classification
CoRR, 2023 Hyperspectral image classification is gaining popularity for high-precision vision tasks in remote sensing, thanks to their ability to capture visual information available in a wide continuum of spectra. Researchers have been working on automating Hyperspectral image classification, with recent efforts leveraging Vision-Transformers.
Zhou, Fangqin +2 more
openaire +5 more sources
Uncertainty-Aware Reliable Text Classification [PDF]
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, 2021 KDD ...
Yibo Hu 0002, Latifur Khan
openaire +2 more sources
Infusion & Chemotherapy, 2022 BACKGROUND. According to a 2019 epidemiological study, antibiotic resistance (AR) caused about 1.27 million deaths worldwide, with lower respiratory tract infections (particularly pneumonia) dominating the global disease burden caused by resistant ...
L.V. Iakovlieva +3 more
doaj +1 more source
Subcategory-Aware Object Classification [PDF]
2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013 In this paper, we introduce a subcategory-aware object classification framework to boost category level object classification performance. Motivated by the observation of considerable intra-class diversities and inter-class ambiguities in many current object classification datasets, we explicitly split data into subcategories by ambiguity guided ...
Jian Dong 0011 +5 more
openaire +1 more source
Energy-Aware Simulation for Wireless Sensor Networks [PDF]
, 2009 Energy-aware sensor nodes are usually tightly energy-constrained, execute energy-efficient algorithms, have the ability to interrogate and control the devices used for storing and consuming energy, and often feature one or more sources of energy ...
Merrett, Geoff +3 more
core +2 more sources