Results 71 to 80 of about 4,853 (185)

Distributed training of CosPlace for large-scale visual place recognition

Frontiers in Robotics and AI
Visual place recognition (VPR) is a popular computer vision task aimed at recognizing the geographic location of a visual query, usually within a tolerance of a few meters.
Riccardo Zaccone, Gabriele Berton, Carlo Masone   +2 more
doaj   +1 more source

RecBERT: Semantic recommendation engine with large language model enhanced query segmentation for k-nearest neighbors ranking retrieval

Intelligent and Converged Networks
The increasing amount of user traffic on Internet discussion forums has led to a huge amount of unstructured natural language data in the form of user comments. Most modern recommendation systems rely on manual tagging, relying on administrators to label
Richard Wu
doaj   +1 more source

An Edge-Based Algorithm for Spatial Query Processing in Real-Life Road Networks

, 2011
Due to wireless communication technologies, positioning technologies, and mobile computing develop quickly, mobile services are becoming practical and important on big spatiotemporal databases management.
Wu, Xu-Lun
core  

An architecture for tactical intention recognition of aerial targets based on unsupervised momentum contrast and transformer

Journal of Big Data
Tactical intention recognition of aerial targets is critical for battlefield decision-making, yet existing supervised deep learning approaches face fundamental challenges due to the extreme scarcity of labeled training data in military domains, where ...
Yafei Song, Lemin Li, Wen Quan, Peng Ni, Wen Sun, Ke Wang, TianPeng Li   +6 more
doaj   +1 more source

Enhancing SR-Tree for Nearest Neighbor Search

IEEE Access
Nearest neighbor search, also known as k-nearest neighbors (kNN), has become one of the essential backbones in machine learning and data mining tasks, particularly in multidimensional dynamic and evolving data environments. While dynamic index structures
Kayumov Abduaziz, Shincheol Lee, Ji Sun Shin   +2 more
doaj   +1 more source

An Efficient KNN Query Processing Method in Sensor Networks

, 2005
기술의 발달로 센서의 기능이 더욱 강력해지면서, 센서 네트워크의 활용 분야는 더욱 다양해지고 있다. 센서 네트워크 어플리케이션을 사용하는 주 목적은 관심 지역(예, 공장 물품 창고, 재난 지역, 야생 서식지 등)에서 발생하는 현상들을 관찰하고, 유용한 정보를 얻기 위한 것이다. k-근접 노드(KNN: k Nearest Neighbor) 탐색 질의는 특정 위치에서 지리적으로 근접한 k개의 이웃 객체를 찾기 위한 질의로서, 센서 네트워크 환경에서도 중요한
현동준, 이은규, 김명호, 정연돈, 손인근   +4 more
core   +1 more source

Artificial intelligence driven spatiotemporal query framework for mobile wireless sensor networks

Discover Sensors
Mobile Wireless Sensor Networks (MWSNs) with dual mobility enable dynamic data collection in smart agriculture, but lack efficient spatiotemporal query support.
Akanksha Gupta, Santosh Soni
doaj   +1 more source

Secure kNN Query Processing in Entrusted Cloud Environments

, 2017
Now days a Wireless devices which having geopositioning facility like GPS enable users to give information about their current location. Users are interested in querying in their physical location like restaurants, college, home, etc.
Thosar, Devidas S, Shinde, Rajashree R, Kashid, Pratibha V, Gadakh, Prashant J   +3 more
core   +1 more source

A stochastic approach to k-nearest neighbors search using a fixed radius method. [PDF]

Comput Stat
Cano Urrego B, Alsup A, Thompson JA, Koestler DC.   +3 more
europepmc   +1 more source

AlleleMiner: a long-read pipeline for gene-wise de novo allele phasing and variant detection in diploid citrus cultivars. [PDF]

DNA Res
Kiryu Y, Kawahara Y, Endo T, Horiike T, Shirasawa K, Isobe S, Shimada T, Fujii H.   +7 more
europepmc   +1 more source