Results 41 to 50 of about 5,370,474 (291)

Focusing 3D Small Objects with Object Matching Set Abstraction

Applied Sciences
Currently, 3D object detection methods fail to detect small objects due to the fewer effective points of small objects. It is a significant challenge to reduce the loss of information of points in representation learning.
Lei Guo, Ningdong Song, Jindong Hu, Huiyan Han, Xie Han, Fengguang Xiong   +5 more
doaj   +1 more source

An End-to-End Trajectory Prediction Method for Unmanned Ground Vehicles via Multimodal Fusion

Sensors
To enhance unmanned ground vehicle (UGV) intelligence in smart cities, disaster rescue, and infrastructure inspection, this paper investigates the collaborative optimization of multimodal fusion end-to-end architectures.
Yufeng Li, Erming Tian, Fuhe Yang, Huiyan Han, Xinya Zhang   +4 more
doaj   +1 more source

Cosine Prompt-Based Class Incremental Semantic Segmentation for Point Clouds

Algorithms
Although current 3D semantic segmentation methods have achieved significant success, they suffer from catastrophic forgetting when confronted with dynamic, open environments.
Lei Guo, Hongye Li, Min Pang, Kaowei Liu, Xie Han, Fengguang Xiong   +5 more
doaj   +1 more source

Fusing feature consistency across views for multi-view stereo

Complex & Intelligent Systems
Dense feature matching is of significant importance in the learning-based multi-view stereo (MVS) pipeline. Feature consistency across views is a key factor affecting feature matching and plays a crucial role in the reconstruction of objects by the ...
Rong Zhao, Caiqin Jia, Xindong Guo, Xiaowen Yang, Huiyan Han, Xie Han   +5 more
doaj   +1 more source

Focusing on Cracks with Instance Normalization Wavelet Layer

Sensors
Automatic crack detection is challenging, owing to the complex and thin topologies, diversity, and background noises of cracks. Inspired by the wavelet theory, we present an instance normalization wavelet (INW) layer and embed the layer into the deep ...
Lei Guo, Fengguang Xiong, Yaming Cao, Hongxin Xue, Lei Cui, Xie Han   +5 more
doaj   +1 more source

Modelling stem cell differentiation related processes—A practical overview for biologists

FEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar, Xinqi Yan, Lucas F. Jansen Klomp, Stefano Schivo, Janine N. Post   +4 more
wiley   +1 more source

Profiling neoadjuvant therapy response in rectal cancer using meta‐analysis of publicly available transcriptomic RNA‐seq datasets

Molecular Oncology, EarlyView.
This study integrates publicly available transcriptomic datasets to identify molecular signatures associated with response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. By analyzing a combination of multiple cohorts with bioinformatics approaches, we reveal biological pathways and immune‐related features that may improve ...
Aleksandra Stanojevic, Rafael Stroggilos, Mladen Marinkovic, Ana Djuric, Suzana Stojanovic‐Rundic, Radmila Jankovic, Sergi Castellvi‐Bel, Remond J.A. Fijneman, Antonia Vlahou, Jerome Zoidakis, Milena Cavic   +10 more
wiley   +1 more source

Comparing the Effect of Semi‐Immersive Virtual Reality, Computerized Cognitive Training, and Traditional Rehabilitation on Cognitive Function in Multiple Sclerosis: A Randomized Clinical Trial

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio, Desiree Latella, Lilla Bonanno, Paulo Cezar Rocha dos Santos, Marcos Maldonado‐Díaz, Meir Plotnik, Rosaria De Luca, Angelo Quartarone, Rocco Salvatore Calabrò   +8 more
wiley   +1 more source

Research on Multi-Source Heterogeneous Collaborative Perception System Based on Unmanned Aerial Vehicle and Unmanned Ground Vehicle

Drones
Complex urban scenarios impose high demands on the environmental perception capabilities of unmanned systems, which serve as a prerequisite for executing autonomous missions such as disaster response, infrastructure inspection, and smart city operations.
Yufeng Li, Erming Tian, Xiaofeng Chen, Huiyan Han, Xinya Zhang   +4 more
doaj   +1 more source

Small‐signal analysis of multiple virtual synchronous machines to enhance frequency stability of grid‐connected high renewables

IET Generation, Transmission & Distribution, 2021
The virtual synchronous machine technology is considered as an important technique to effectively control the shortcomings of renewable energy‐based power electronics interfaces, providing backup inertia and regulating grid stability. Conventionally, the
Thongchart Kerdphol, Fathin Saifur Rahman, Masayuki Watanabe, Yasunori Mitani, Komsan Hongesombut, Veena Phunpeng, Issarachai Ngamroo, Dirk Turschner   +7 more
doaj   +1 more source