Results 51 to 60 of about 9,285,371 (201)
Remote Sensing, 2020 Building extraction is a binary classification task that separates the building area from the background in remote sensing images. The conditional random field (CRF) is directly modelled by the maximum posterior probability, which can make full use of ...
Qiqi Zhu +3 more
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Remote Sensing, 2021 Hyperspectral imagery has been widely used in precision agriculture due to its rich spectral characteristics. With the rapid development of remote sensing technology, the airborne hyperspectral imagery shows detailed spatial information and temporal ...
Lifei Wei +7 more
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International Journal of Computational Intelligence Systems, 2022 AbstractIn recent times, the Internet of Things (IoT) and Deep Learning Models (DLMs) can be utilized for developing smart agriculture to determine the exact location of the diseased part of the leaf on farmland in an efficient manner. There is no exception that convolutional neural networks (CNNs) have achieved the latest accomplishment in many ...
Nermeen Gamal Rezk +4 more
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Insect Molecular Biology, EarlyView.Host associations are primary drivers of genomic divergence, with clear phylogenetic separation observed between strains associated with Hypera and Sitona weevil hosts. Genomic diversity aligns with reproductive modes: sexually reproducing ancestral lineages maintain high heterozygosity, while derived asexual strains exhibit reduced heterozygosity and ...
Meeran Hussain +3 more
wiley +1 more source
Feature Extraction and Analysis of Natural Language Processing for Deep Learning English Language
IEEE Access, 2020 NLP (Natural Language Processing) is a technology that enables computers to understand human languages. Deep-level grammatical and semantic analysis usually uses words as the basic unit, and word segmentation is usually the primary task of NLP.
Dongyang Wang, Junli Su, Hongbin Yu
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Journal of Microscopy, EarlyView.Abstract Brain surgery is a widely practised and effective treatment for brain tumours, but accurately identifying and classifying tumour boundaries is crucial to maximise resection and avoid neurological complications. This precision in classification is essential for guiding surgical decisions and subsequent treatment planning.
Neetu Sigger +2 more
wiley +1 more source
Advanced Chemical Engineering, Volume 1, Issue 2, December 2026.A two‐scale framework bridges process‐level physics and system‐level decision‐making for electrified green methanol production. Replacing computationally demanding reactor simulations with an interpretable symbolic‐regression surrogate enables rapid techno‐economic and life‐cycle assessment. The framework reveals how process performance propagates into
Yuanjing Zhao +5 more
wiley +1 more source
Bone tumor examination based on FCNN-4s and CRF fine segmentation fusion algorithm
Journal of Bone Oncology, 2023 Background and objective: Bone tumor is a kind of harmful orthopedic disease, there are benign and malignant points. Aiming at the problem that the accuracy of the existing machine learning algorithm for bone tumor image segmentation is not high, a bone ...
Shiqiang Wu +6 more
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PENGENALAN MANUSIA BERBASIS PADA SINGLE-GAIT MENGGUNAKAN METODE MODIFIKASI LATENT CONDITIONAL RANDOM FIELD (L-CRF) [PDF]
, 2019 Pengenalan gait merupakan salah satu bagian dari computer vision yang berfungsi untuk mengenali subjek (manusia) dengan jarak tertentu tanpa memperhatikan aspek biometrik seperti iris, wajah, dan sidik jari.
ALDO TRIPOLYTA
core
Laos Organization Name Using Cascaded Model Based on SVM and CRF
MATEC Web of Conferences, 2017 According to the characteristics of Laos organization name, this paper proposes a two layer model based on conditional random field (CRF) and support vector machine (SVM) for Laos organization name recognition.
Duan Shaopeng, Zhou Lanjiang, Zhou Feng
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