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Structure and Spectroscopic Characterisation of Phenanthroline‐Based Iodobismuthate(III) Complexes Utilised for Raw Acoustic Signal Classification

Advanced Intelligent Discovery, EarlyView.
Memristors based on trimethylsulfonium (phenanthroline)tetraiodobismuthate have been utilised as a nonlinear node in a delayed feedback reservoir. This system allowed an efficient classification of acoustic signals, namely differentiation of vocalisation of the brushtail possum (Trichosurus vulpecula).
Ewelina Cechosz, Gisya Abdi, Andrzej Sławek, Marlena Gryl, Konrad Szaciłowski   +4 more
wiley   +1 more source

Generative AI in Medicine and Healthcare: A Comprehensive Review of Foundational Technologies, Clinical Applications, and Future Perspectives. [PDF]

Juntendo Med J
Nakamura T, Uchida W, Yamamoto A, Aoki S.   +3 more
europepmc   +1 more source

A scalable framework for UAV-based point cloud reconstruction and organ segmentation of field-grown cotton in complex field environments. [PDF]

Front Plant Sci
Qiu H, Zhao Y, Meng X, Wang Y, Li X, Niu H, Yu L, Mu Q, Meng S, Yin S.   +9 more
europepmc   +1 more source

AI-Based 3D Modeling Strategies for Civil Infrastructure: Quantitative Assessment of NeRF and Photogrammetry. [PDF]

Sensors (Basel)
Atencio E, Duarte F, Lozano-Galant F, Porras R, Xia Y.   +4 more
europepmc   +1 more source

FLex: joint pose and dynamic radiance fields optimization for stereo endoscopic videos. [PDF]

Int J Comput Assist Radiol Surg
Stilz F, Karaoglu M, Tristram F, Navab N, Busam B, Ladikos A.   +5 more
europepmc   +1 more source

Talking Head Generation Through Generative Models and Cross-Modal Synthesis Techniques. [PDF]

J Imaging
Nisar H, Masood S, Malik Z, Abid A.
europepmc   +1 more source

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A Survey on Neural Radiance Fields

ACM Computing Surveys
View synthesis is a fundamental task in computer vision, known for its significantly higher complexity compared to conventional vision problems. The introduction of Neural Radiance Fields (NeRF) marked a major breakthrough in this field, substantially improving previous methods and pushing view synthesis to unprecedented levels.
Mingyu Lu, Yide Di
exaly   +3 more sources

Multi-Space Neural Radiance Fields

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Existing Neural Radiance Fields (NeRF) methods suffer from the existence of reflective objects, often resulting in blurry or distorted rendering. Instead of calculating a single radiance field, we propose a multi-space neural radiance field (MS-NeRF ...
Ze-Xin Yin, Jiaxiong Qiu, Ming-Ming Cheng, Bo Ren 0003   +3 more
openaire   +2 more sources

Multimodal Neural Radiance Field

2023 IEEE International Conference on Robotics and Automation (ICRA), 2023
Haidong Zhu, Yuyin Sun, Chi Liu, Lu Xia, Jiajia Luo, Nan Qiao 0009, Ram Nevatia, Cheng-Hao Kuo   +7 more
openaire   +1 more source

Neural Transmitted Radiance Fields

Advances in Neural Information Processing Systems 35, 2022
Chengxuan Zhu, Renjie Wan, Boxin Shi
openaire   +2 more sources