Results 41 to 50 of about 4,954,289 (137)
A novel fully parallel skeletonization algorithm [PDF]
A Skeleton that is extracted by a skeletonization algorithm from a binary image is useful for object description, matching, recognition and compression.
Tsviatkou, V. Y. +3 more
core +1 more source
Clonal Complexes in Biomedical Ontologies [PDF]
An accurate classification of bacteria is essential for the proper identification of patient infections and subsequent treatment decisions. Multi-Locus Se-quence Typing (MLST) is a genetic technique for bacterial classification.
Goldfain, Albert +5 more
core +1 more source
Automated quantification of fine root production from minirhizotron image time series
Abstract Plant root growth accounts for a major part of the net primary production in grassland and forest ecosystems and influences the global carbon and nutrient cycles. Measuring the production of roots is inherently difficult, prone to inconsistencies and time‐consuming. Notably, there are currently no methods yet to automate this task.
Alexander Gillert +9 more
wiley +1 more source
Rock fractures significantly influence rock classification and engineering parameter determination. Traditional joint extraction methods are time-consuming, subjective, and error-prone, hindering intelligent tunnel engineering and compromising ...
Weihong Dong +3 more
doaj +1 more source
Tomato Pedicel Picking-Point Localization via Improved YOLOv8n-EED-Seg and RGB-D Fusion
Accurate and rapid localization of tomato pedicel picking points presents a significant challenge for automated harvesting, due to factors such as occlusion by dense foliage, overlapping fruits, variable lighting conditions, and the slender morphology of
Liping Wu, Lilin Liu, Dongdong Teng
doaj +1 more source
AI and Measurement Concerns: Dealing with Imbalanced Data in Autoscoring
Abstract Unbiasedness for proficiency estimates is important for autoscoring engines since the outcome might be used for future learning or placement. Imbalanced training data may lead to certain biases and lower the prediction accuracy for classification algorithms.
Yunting Liu +3 more
wiley +1 more source
Transparency and Trust in Simple Algorithmic Hiring Procedures
ABSTRACT It is well established that combining information via a simple algorithm (mechanical combination) results in better hiring decisions than a holistic combination. Nevertheless, mechanical combination is perceived negatively and rarely used in practice. Transparency is an often‐mentioned determinant of algorithmic trust in the AI‐literature, but
A. Susan M. Niessen, Marvin Neumann
wiley +1 more source
Vector‐Based and Machine Learning Approaches for Pore Network Parameters Analysis
ABSTRACT Accurate characterization of pore structures in carbonate rocks is critical for evaluating fluid flow and storage capacity in subsurface reservoirs, a key concern in geophysical exploration and reservoir engineering. This study proposes a hybrid digital rock physics workflow that integrates deep learning–based segmentation, vectorial geometric
José Frank V. Gonçalves +4 more
wiley +1 more source
Peningkatan akurasi identifikasi citra sidik jari terdistorsi menggunakan transformasi geometri dan metode zhang suen [PDF]
INDONESIA: Dalam dunia kriminalitas untuk mengungkap kasus kejahatan pada umumnya dilakukan dengan menggunakan identifikasi sidik jari. Peranan sidik jari mempunyai tingkat kredibilitas (perihal yang dapat dipercaya) yang tinggi dan memenuhi kriteria ...
Dardiri, Hudan
core
Transformer‐Based Automatic Tracking of Structural Crack Propagation
As aging infrastructure presents increasing safety and maintenance challenges, effective monitoring of structural defect propagation is vital. While many methods detect cracks, few can track the same crack over time under varying conditions. This study presents a modular, automated framework to track crack propagation by integrating scale‐invariant ...
Hui Zuo +3 more
wiley +1 more source

