Results 81 to 90 of about 26,920 (307)
Deep supervised hashing for gait retrieval
F1000Research, 2021 Background: Gait recognition is perceived as the most promising biometric approach for future decades especially because of its efficient applicability in surveillance systems. Due to recent growth in the use of gait biometrics across surveillance systems, the ability to rapidly search for the required data has become an emerging need.
Shohel Sayeed, Pa Pa Min, Thian Song Ong
openaire +3 more sources
Dorsal Raphe VIP Neurons Are Critical for Survival‐Oriented Vigilance
Advanced Science, EarlyView.DRNVIP neurons in mice and primates are strategically positioned to influence the central extended amygdala via feedback loops. They regulate the excitability of PKC‐δ neurons in the ovBNST and CeA through glutamate release. Their ablation heightens activity in these regions, disrupts active‐phase sleep architecture, enhances risk assessment behaviors ...
Adriane Guillaumin +15 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng +4 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.: In this work, Voxel‐SLAM (simultaneous localization and mapping) is introduced: a complete, accurate, and versatile LiDAR (light detection and ranging) ‐inertial SLAM system consisting of five modules: initialization, odometry, local mapping (LM), loop closure (LC), and global mapping (GM), all employing the same map representation, an adaptive voxel
Zheng Liu +9 more
wiley +1 more source
Asymmetric Deep Semantic Quantization for Image Retrieval
IEEE Access, 2019 Due to its fast retrieval and storage efficiency capabilities, hashing has been widely used in nearest neighbor retrieval tasks. By using deep learning-based techniques, hashing can outperform non-learning-based hashing technique in many applications ...
Zhan Yang +3 more
doaj +1 more source
Comparative Analysis of TF–IDF and Hashing Vectorizer for Fake News Detection in Sindhi: A Machine Learning and Deep Learning Approach [PDF]
, 2023 Rubab Roshan +2 more
openalex +1 more source
Blockchain Technology and the Circular Economy Transition: Associations With Company Performance
Business Strategy and the Environment, EarlyView.ABSTRACT The adoption of circular economy (CE) practices in the private sector has received increasing academic and managerial attention, although the implementation of such practices continues to face significant barriers. Among Industry 4.0 technologies, blockchain has been identified as a potential factor associated with the CE transition.
Josep Llach +3 more
wiley +1 more source
Fusion-Supervised Deep Cross-Modal Hashing [PDF]
2019 IEEE International Conference on Multimedia and Expo (ICME), 2019 Deep hashing has recently received attention in cross-modal retrieval for its impressive advantages. However, existing hashing methods for cross-modal retrieval cannot fully capture the heterogeneous multi-modal correlation and exploit the semantic information.
Wang, Li +4 more
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Simple Access to a Series of Higher Substituted Pentafluoroorthotellurate‐Based Silanes
Chemistry – A European Journal, EarlyView.The pentafluoroorthotellurate ligand was introduced to organo silanes. A variety of silanes with the formular RxSi(OTeF5)4–x were synthesized and characterized via spectroscopic techniques and sc‐XRD. The influence of the number of OTeF5 groups on structural properties as well as the fluoride ion affinities (FIA) has been studied and compared to other ...
Friederike Oesten +7 more
wiley +1 more source
Supervised Hashing with End-to-End Binary Deep Neural Network
, 2018 Image hashing is a popular technique applied to large scale content-based visual retrieval due to its compact and efficient binary codes. Our work proposes a new end-to-end deep network architecture for supervised hashing which directly learns binary ...
Cheung, Ngai-Man +2 more
core +1 more source