Results 101 to 110 of about 5,152,243 (358)
, 2017 Leukemia is a type of cancer which is caused by malignant neoplasms in leukocyte cells. Leukemia disease which can cause death quickly enough for the sufferer is a type of acute lymphocyte leukemia (ALL).
E. Purwanti, Evelyne Calista
semanticscholar +1 more source
Deep Learning and Histogram-Based Grain Size Analysis of Images
SensorsGrain size analysis is used to study grain size and distribution. It is a critical indicator in sedimentary simulation experiments (SSEs), which aids in understanding hydrodynamic conditions and identifying the features of sedimentary environments ...
Wei Wei +4 more
doaj +1 more source
Optimization Algorithms Testing and Convergence by Using a Stacked Histogram
Advances in Electrical and Computer Engineering, 2011 The article describes an original method of optimization algorithms testing and convergence. The method is based on so-called stacked histogram. Stacked histogram is a histogram with its features marked by a chosen colour scheme.
ZAPLATILEK, K., TALPA, M., LEUCHTER, J.
doaj +1 more source
A Defect Detection Method for the Image With Intersecting Feature
IEEE Access, 2020 Since the intersecting feature between the defect and the background of the image, the defect detection often results in under-segmentation or over-segmentation.
Weiqi Yuan, Yang Liu
doaj +1 more source
Complexity of Possibly-gapped Histogram and Analysis of Histogram (ANOHT) [PDF]
arXiv, 2017 Without unrealistic continuity and smoothness assumptions on a distributional density of one dimensional dataset, constructing an authentic possibly-gapped histogram becomes rather complex. The candidate ensemble is described via a two-layer Ising model, and its size is shown to grow exponentially.
arxiv
Histogram-based Deep Learning for Automotive Radar [PDF]
arXiv, 2023 There are various automotive applications that rely on correctly interpreting point cloud data recorded with radar sensors. We present a deep learning approach for histogram-based processing of such point clouds. Compared to existing methods, the design of our approach is extremely simple: it boils down to computing a point cloud histogram and passing ...
arxiv
Unidimensional multiscale local features for object detection under rotation and mild occlusions [PDF]
, 2007 In this article, scale and orientation invariant object detection is performed by matching intensity level histograms. Unlike other global measurement methods, the present one uses a local feature description that allows small changes in the histogram ...
Andrade-Cetto, Juan +2 more
core
Improving Malware Detection Accuracy by Extracting Icon Information
, 2017 Detecting PE malware files is now commonly approached using statistical and machine learning models. While these models commonly use features extracted from the structure of PE files, we propose that icons from these files can also help better predict ...
Akhavan-Masouleh, Sepehr +2 more
core +1 more source
Tire Pressure Monitoring System Using Feature Fusion and Family of Lazy Classifiers
Engineering ReportsThe tire pressure monitoring system (TPMS) is crucial for road safety, fuel efficiency, and vehicle performance. This study focuses on nitrogen‐filled pneumatic tires due to their uniform pressure management and thermal stability advantages over air ...
Arpit Pandey +4 more
doaj +1 more source
Biomedical Imaging Modality Classification Using Combined Visual Features and Textual Terms
International Journal of Biomedical Imaging, 2011 We describe an approach for the automatic modality classification in medical image retrieval task of the 2010 CLEF cross-language image retrieval campaign (ImageCLEF).
Xian-Hua Han, Yen-Wei Chen
doaj +1 more source