Results 161 to 170 of about 128,875 (283)

Language‐Guided Robot Grasping Based on Basic Geometric Shape Fitting

Advanced Intelligent Systems, EarlyView.
This article presents a language‐guided, model‐free grasping framework that integrates multimodal perception with primitive‐based geometric fitting. By explicitly modeling object geometry from RGB‐D data, the method enables semantically controllable grasp pose generation and achieves robust performance in both structured and cluttered real‐world ...
Qun Niu, Chuanlin Zhang, Tianyu Zhang, Jieliang Zhao, Tie Fu, Xuemei Chen   +5 more
wiley   +1 more source

A fault-tolerant sins/dual 2D-LDV tightly coupled integration scheme for autonomous vehicle navigation. [PDF]

Sci Rep
Xiang Z, Wang Q, Jin S, Nie X, Zhou J.
europepmc   +1 more source

Development of Artificial Intelligence for Quantitative Assessment of Nasal Inflammatory Cytology in Chronic Rhinitis by Whole‐Slide Images

International Forum of Allergy &Rhinology, EarlyView.
ABSTRACT Background Chronic rhinitis (CR) is currently recognized as a syndrome that manifests in different phenotypes. We aimed to establish an artificial intelligence system (quantitative assessment of nasal inflammatory cytology, QANIC) on the basis of whole‐slide images (WSIs) to enable quantitative assessment of nasal inflammatory cells.
Xu Zhang, Xu Xu, Weiwei Liu, Long Qin, Yu Song, Jingyun Li, Lin Xi, Chengshuo Wang, Luo Zhang, Yuan Zhang   +9 more
wiley   +1 more source

A Wi-Fi/PDR Fusion Localization Method Based on Genetic Algorithm Global Optimization. [PDF]

Sensors (Basel)
Zhang L, Ma J, Liu Y, Duan L, Liang Y, Lu Y.   +5 more
europepmc   +1 more source

Hub genes and diagnostic model associated with mitochondrial function in Alzheimer's disease

Animal Models and Experimental Medicine, EarlyView.
Alzheimer's disease (AD) is the most common neurodegenerative disorder, and mitochondrial dysfunction has been confirmed in AD patients and mouse models. However, the pathogenic genes associated with AD and early diagnostic methods based on mitochondrial function remain to be explored.
Xuchao Zhu, Ling Zhang, Chuan Qin
wiley   +1 more source

Machine learning-driven development of a behaviour-based student classification system (SCS-B) for enhanced educational analytics. [PDF]

Sci Rep
Vinoth Kumar ES, Augustian Isaac R, Sundaravadivel P, Janaki Ramal P.   +3 more
europepmc   +1 more source

Cuneiform Nucleus Stimulation Can Assist Gait Training to Promote Locomotor Recovery in Individuals With Incomplete Tetraplegia

Annals of Neurology, EarlyView.
Objective Impaired ability to induce stepping after incomplete spinal cord injury (SCI) can limit the efficacy of locomotor training, often leaving patients wheelchair‐bound. The cuneiform nucleus (CNF), a key mesencephalic locomotor control center, modulates the activity of spinal locomotor centers via the reticulospinal tract.
Anna‐Sophie Hofer, Lennart H. Stieglitz, Marc Bolliger, Linard Filli, Adrian Cathomen, Romina Willi, Irina Lerch, Iris Krüsi, Melina Giagiozis, Christian Meyer, Martin Schubert, Michèle Hubli, Thomas M. Kessler, László Demkó, Christian R. Baumann, Lukas Imbach, Markus F. Oertel, Andrea Prusse, Alina Kiseleva, Luca Regli, Martin E. Schwab, Armin Curt   +21 more
wiley   +1 more source

Outliers and anomalies in training and testing datasets for AI-powered morphometry-evidence from CT scans of the spleen. [PDF]

Front Artif Intell
Vasilev Y, Pamova A, Bobrovskaya T, Vladzimirskyy A, Omelyanskaya O, Astapenko E, Kruchinkin A, Vladimir N, Arzamasov K.   +8 more
europepmc   +1 more source

Optimizing Crop Yield Prediction: An In-Depth Analysis of Outlier Detection Algorithms on Davangere Region. [PDF]

ScientificWorldJournal
Anu CS, Nirmala CR, Bhowmik A, Santhosh AJ.   +3 more
europepmc   +1 more source

Hierarchical Complementary Enhanced Autoencoder Integrating Spatio‐Temporal Interaction Feature for Soft Sensor

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT To address the issues of neglecting the spatiotemporal correlations among process variables, low‐level features are vulnerable to noise interference, and the gradual loss of key information layer by layer during deep network training in traditional stacked autoencoder‐based soft‐sensor models, this paper proposes a hierarchical complementary ...
Xiaoping Guo, Jinghong Guo, Yuan Li
wiley   +1 more source