Results 111 to 120 of about 26,920 (307)
Deep supervised hashing for fast retrieval of radio image cubes [PDF]
Steven Ndung'u +4 more
openalex +1 more source
Abstract The Internet of Things (IoT) in deploying robotic sprayers for pandemic‐associated disinfection and monitoring has garnered significant attention in recent research. The authors introduce a novel architectural framework designed to interconnect smart monitoring robotic devices within healthcare facilities using narrowband Internet of Things ...
Md Motaharul Islam +9 more
wiley +1 more source
Cohesion Intensive Deep Hashing for Remote Sensing Image Retrieval
Recently, the demand for remote sensing image retrieval is growing and attracting the interest of many researchers because of the increasing number of remote sensing images.
Lirong Han +5 more
doaj +1 more source
In applications involving matching of image sets, the information from multiple images must be effectively exploited to represent each set. State-of-the-art methods use probabilistic distribution or subspace to model a set and use specific distance measure to compare two sets.
Feng, Jie +3 more
openaire +2 more sources
Abstract Data is the key element that runs the modern society. Large amounts of data are being released day by day as a result of many activities. The digital data is transferred through the Internet which may be vulnerable to attacks while transmitting. Especially, the medical data is observed to be of at most importance.
Rupa Ch +4 more
wiley +1 more source
A Bridge Transformer Network With Deep Graph Convolution for Hyperspectral Image Classification
ABSTRACT Transformers have been widely applied to hyperspectral image classification, leveraging their self‐attention mechanism for powerful global modelling. However, two key challenges remain as follows: excessive memory and computational costs from calculating correlations between all tokens (especially as image size or spectral bands increase) and ...
Yuquan Gan +5 more
wiley +1 more source
TNCOA: Efficient Exploration via Observation‐Action Constraint on Trajectory‐Based Intrinsic Reward
ABSTRACT Efficient exploration is critical in handling sparse rewards and partial observability in deep reinforcement learning. However, most existing intrinsic reward methods based on novelty rely on single‐step observations or Euclidean distances.
Jingxiang Ma, Hongbin Ma, Youzhi Zhang
wiley +1 more source
Deep hashing for global registration of untracked 2D laparoscopic ultrasound to CT. [PDF]
Ramalhinho J +9 more
europepmc +1 more source
An Encrypted Speech Retrieval Scheme Based on Long Short-Term Memory Neural Network and Deep Hashing [PDF]
Qiuyu Zhang, Yuzhou Li, Yingjie Hu
openalex +1 more source
A Probability‐Aware AI Framework for Reliable Anti‐Jamming Communication
ABSTRACT Adversarial jamming attacks have increased on communication systems, causing distortion and threatening transmissions. Typical attacks rely on traditional, well‐defined cryptographic protocols and frequency‐hopping techniques. Nevertheless, these techniques become vulnerable when facing intelligent jammers.
Tawfeeq Shawly, Ahmed A. Alsheikhy
wiley +1 more source

