Results 71 to 80 of about 6,781,577 (302)

Optimal LiDAR Data Resolution Analysis for Object Classification

Sensors, 2022
When classifying objects in 3D LiDAR data, it is important to use efficient collection methods and processing algorithms. This paper considers the resolution needed to classify 3D objects accurately and discusses how this resolution is accomplished for ...
Marjorie Darrah, Matthew Richardson, Bradley DeRoos, Mitchell Wathen   +3 more
doaj   +1 more source

3D Convolutional Neural Networks for Classification of Functional Connectomes [PDF]

, 2018
9 pages, 3 ...
Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu   +3 more
openaire   +2 more sources

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

SwinBTS: A Method for 3D Multimodal Brain Tumor Segmentation Using Swin Transformer

Brain Sciences, 2022
Brain tumor semantic segmentation is a critical medical image processing work, which aids clinicians in diagnosing patients and determining the extent of lesions.
Yun Jiang, Yuan Zhang, Xin Lin, Jinkun Dong, Tongtong Cheng, Jing Liang   +5 more
doaj   +1 more source

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Research on Underwater Acoustic Target Recognition Based on a 3D Fusion Feature Joint Neural Network

Journal of Marine Science and Engineering
In the context of a complex marine environment, extracting and recognizing underwater acoustic target features using ship-radiated noise present significant challenges.
Weiting Xu, Xingcheng Han, Yingliang Zhao, Liming Wang, Caiqin Jia, Siqi Feng, Junxuan Han, Li Zhang   +7 more
doaj   +1 more source

Video‐based action recognition using spurious‐3D residual attention networks

IET Image Processing, 2022
Recently, 3D Convolutional Neural Networks (3D CNNs) have attracted extensive attention in extracting spatial and temporal features in videos for their efficient feature extraction ability.
Bo Chen, Hongying Tang, Zebin Zhang, Guanjun Tong, Baoqing Li   +4 more
doaj   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Medical image segmentation with 3D convolutional neural networks: A survey

Neurocomputing, 2022
17 pages, 4 ...
S. Niyas, S. J. Pawan, M. Anand Kumar, Jeny Rajan   +3 more
openaire   +2 more sources

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source