Results 51 to 60 of about 757,511 (305)

A Benchmarking Protocol for Pansharpening: Dataset, Preprocessing, and Quality Assessment

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Comparative evaluation is a requirement for reproducible science and objective assessment of new algorithms. Reproducible research in the field of pansharpening of very high resolution images is a difficult task due to the lack of openly available ...
G. Vivone, M. Dalla Mura, A. Garzelli, F. Pacifici   +3 more
semanticscholar   +1 more source

Pengaruh Text Preprocessing terhadap Analisis Sentimen Komentar Masyarakat pada Media Sosial Twitter (Studi Kasus Pandemi COVID-19)

JURNAL MEDIA INFORMATIKA BUDIDARMA, 2021
COVID-19 is a pandemic that is troubling many people. This has led to a lot of public comments on Twitter social media. The comments are used for sentiment analysis so that we know the polarity of the sentiment that appears, whether it is positive ...
Syifa Khairunnisa, Adiwijaya Adiwijaya, Said Al Faraby   +2 more
semanticscholar   +1 more source

Medical Image Classifications Using Convolutional Neural Networks: A Survey of Current Methods and Statistical Modeling of the Literature

Machine Learning and Knowledge Extraction
In this review, we compiled convolutional neural network (CNN) methods which have the potential to automate the manual, costly and error-prone processing of medical images.
Foziya Ahmed Mohammed, Kula Kekeba Tune, Beakal Gizachew Assefa, Marti Jett, Seid Muhie   +4 more
doaj   +1 more source

OESA-UNet: An Adaptive and Attentional Network for Detecting Diverse Magnetopause under the Limited Field of View

Remote Sensing
Imaging has been an important strategy for exploring space weather. The Solar wind Magnetosphere Ionosphere Link Explorer (SMILE) is a joint Chinese Academy of Sciences (CAS) and European Space Agency (ESA) mission, aiming at studying the interaction ...
Jiaqi Wang, Rongcong Wang, Dalin Li, Tianran Sun, Xiaodong Peng   +4 more
doaj   +1 more source

On the Role of Text Preprocessing in Neural Network Architectures: An Evaluation Study on Text Categorization and Sentiment Analysis

, 2018
Text preprocessing is often the first step in the pipeline of a Natural Language Processing (NLP) system, with potential impact in its final performance.
Camacho-Collados, Jose, Pilehvar, Mohammad Taher   +1 more
core   +1 more source

The effect of preprocessing filters on predictive performance in radiomics

European Radiology Experimental, 2022
Radiomics is a noninvasive method using machine learning to support personalised medicine. Preprocessing filters such as wavelet and Laplacian-of-Gaussian filters are commonly used being thought to increase predictive performance.
A. Demircioğlu
semanticscholar   +1 more source

In vitro models of cancer‐associated fibroblast heterogeneity uncover subtype‐specific effects of CRISPR perturbations

Molecular Oncology, EarlyView.
Development of therapies targeting cancer‐associated fibroblasts (CAFs) necessitates preclinical model systems that faithfully represent CAF–tumor biology. We established an in vitro coculture system of patient‐derived pancreatic CAFs and tumor cell lines and demonstrated its recapitulation of primary CAF–tumor biology with single‐cell transcriptomics ...
Elysia Saputra, Shamsudheen Karuthedath Vellarikkal, Lixia Li, Hong Sun, Khoa Nguyen, Amber Montano, Suchitra Natarajan, Federica Piccioni, Alex Michael Tamburino, Xin Yu, Aleksandra Katarzyna Olow   +10 more
wiley   +1 more source

The More, the Better? Evaluating the Role of EEG Preprocessing for Deep Learning Applications

IEEE Transactions on Neural Systems and Rehabilitation Engineering
The last decade has witnessed a notable surge in deep learning applications for electroencephalography (EEG) data analysis, showing promising improvements over conventional statistical techniques. However, deep learning models can underperform if trained
Federico Del Pup, Andrea Zanola, Louis Fabrice Tshimanga, Alessandra Bertoldo, Manfredo Atzori   +4 more
doaj   +1 more source

Making Queries Tractable on Big Data with Preprocessing [PDF]

, 2013
A query class is traditionally considered tractable if there exists a polynomial-time (PTIME) algorithm to answer its queries. When it comes to big data, however, PTIME al-gorithms often become infeasible in practice. A traditional and effective approach
Fan, Wenfei, Geerts, Floris, Neven, Frank   +2 more
core   +3 more sources

Bionic visual-audio photodetectors with in-sensor perception and preprocessing

Science Advances
Serving as the “eyes” and “ears” of the Internet of Things, optical and acoustic sensors are the fundamental components in hardware systems. Nowadays, mainstream hardware systems, often comprising numerous discrete sensors, conversion modules, and ...
Jintao Fu, Changbin Nie, Feiying Sun, Genglin Li, Haofei Shi, Xingzhan Wei   +5 more
semanticscholar   +1 more source