Results 51 to 60 of about 17,118 (185)

Artificial Intelligence in Autonomous Mobile Robot Navigation: From Classical Approaches to Intelligent Adaptation

Advanced Intelligent Systems, EarlyView.
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella, Angelo Cardellicchio, Cosimo Patruno, Massimiliano Nitti, Nicola Pedrocchi, Vito Renò   +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, Xiaoming Bai, Liquan Cai, Liangming Wang, XiaoLu Zhang, Qingfeng Ke, Jianlong Huang   +6 more
doaj   +1 more source

An electroencephalography sleep staging model based on bidirectional Mamba combining synergistic attention with interactive convolution

Sleep Research, EarlyView.
Abstract Background This study presents SIMSleepSM, a novel single‐channel electroencephalography (EEG) sleep staging model. It addresses two primary challenges: insufficient modeling of long‐range temporal dependencies combined with limited multi‐scale feature extraction, and poor accuracy in identifying the N1 stage.
Ya‐mei Xu, Ding‐Yuan An
wiley   +1 more source

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
doaj   +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
doaj   +1 more source

An Efficient Plant Disease Recognition System Using Hybrid Convolutional Neural Networks (CNNs) and Conditional Random Fields (CRFs) for Smart IoT Applications in Agriculture

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, Abdel-Fattah Attia, Mohamed A. El-Rashidy, Ayman El-Sayed, Ezz El-Din Hemdan   +4 more
openaire   +2 more sources

SFK: Shape‐ and Function‐Grounded Keypoint Representation for Sequential Manipulation

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Sequential manipulation is the process by which robots perform multiple interdependent steps to accomplish composite tasks, demanding tight integration of perception, planning and execution. Existing methods incorporate explicit features such as category, semantics, 6D pose or affordance to enhance consistency, yet single‐feature ...
Yaxin Liu, Yan Liu, Xinyu Song, Ruiqing Han, Haiyong Liu, Bo Huang, Yufeng Yao, Ming Zhong   +7 more
wiley   +1 more source

Conditional Random Field Approach Combining FFT Filtering and Co-Kriging for Reliability Assessment of Slopes

Applied Sciences
Conventional unconditional random field (URF) models were shown to neglect in-situ monitoring data and thus misrepresent real slope stability. To address this, a conditional random field (CRF) generator was proposed, in which Fast Fourier Transform (FFT)
Xin Dong, Tianhong Yang, Yuan Gao, Wenxue Deng, Yang Liu, Peng Niu, Shihui Jiao, Yong Zhao   +7 more
doaj   +1 more source

Region-based Skin Color Detection. [PDF]

, 2012
Skin color provides a powerful cue for complex computer vision applications. Although skin color detection has been an active research area for decades, the mainstream technology is based on the individual pixels. This paper presents a new region-based
Liu, D., Nait-Charif, H., Poudel, R.P.K., Zhang, Jian J.   +3 more
core  

Brain tissue classification in hyperspectral images using multistage diffusion features and transformer

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, Tuan T. Nguyen, Gianluca Tozzi   +2 more
wiley   +1 more source