Results 41 to 50 of about 5,170 (214)

Intent Arabic text categorisation based on different machine learning and term frequency

IET Networks, EarlyView., 2022
Abstract The complexity of Internet network configurations has made managing networks a complicated undertaking. Intent‐Based Networking (IBN) is a potential solution to this issue. In contrast to conventional networks, where a concrete description of the settings typically conveys a network administrator's goal kept on each device, an administrator's ...
Mohammad Fadhil Mahdi, Mahmoud Shuker Mahmoud   +1 more
wiley   +1 more source

Navigating the Maps: Euclidean vs. Road Network Distances in Spatial Queries

Algorithms
Using spatial data in mobile applications has grown significantly, thereby empowering users to explore locations, navigate unfamiliar areas, find transportation routes, employ geomarketing strategies, and model environmental factors.
Pornrawee Tatit, Kiki Adhinugraha, David Taniar   +2 more
doaj   +1 more source

TSTScope Unifies Single‐Cell Multi‐Omics to Identify Functional T Cell States Predictive of Immunotherapy Response

Advanced Science, EarlyView.
TSTScope is an interpretable AI framework that integrates single‐cell transcriptomes with TCR information through curated gene‐program constraints. By linking receptor context to functional T cell states, it reveals response‐associated tumor‐specific T cell programs in lung cancer immunotherapy cohorts and defines an MPR score associated with ...
Shiwei Cao, Jinyu Cheng, Feng‐ao Wang, Chenxin Yi, Jiajun Chen, Keyue Wang, Lulu Liu, Junwei Liu, Yixue Li   +8 more
wiley   +1 more source

Novel Probabilistic Collision Detection for Manipulator Motion Planning Using HNSW

Machines
Collision detection is very important for robot motion planning. The existing accurate collision detection algorithms regard the evaluation of each node as a discrete event, ignoring the correlation between nodes, resulting in low efficiency.
Xiaofeng Zhang, Bo Tao, Du Jiang, Baojia Chen, Dalai Tang, Xin Liu   +5 more
doaj   +1 more source

Scalable Distributed kNN Processing on Clustered Data Streams

IEEE Access, 2019
Recommender systems provide an important tool for users to find interested items from the massive amount of user-generated contents. As user interests often change over time and contents become available in a streaming fashion, it is highly desirable to ...
Min Yang, Yixuan Zuo, Meng Chen, Xiaohui Yu   +3 more
doaj   +1 more source

Modeling simulation and virtual platform construction of crossbow making technology [PDF]

E3S Web of Conferences, 2019
In this paper, a set of virtual simulation platform for crossbow making is established. First, build a virtual model of Lisu crossbow, optimize the model, accelerate the organization, model generation, modification and editing of the database; then ...
Wen Cong, Xu Wu, Tang Wenquan, Guo Xing, Zhou Bing   +4 more
doaj   +1 more source

B+-Tree Based Multi-Keyword Ranked Similarity Search Scheme Over Encrypted Cloud Data

IEEE Access, 2021
With the sustained evolution and expeditious popularization of cloud computing, an ever-increasing number of individuals and enterprises are encouraged to outsource data to cloud servers for reducing management overhead and ease of access.
Huanglin Shen, Linlin Xue, Haijiang Wang, Lei Zhang, Jinying Zhang   +4 more
doaj   +1 more source

Computationally Evidence‐Grounded Sequence‐First Design of Peptide Binders

Advanced Science, EarlyView.
BOND‐PEP enables controllable, sequence‐first peptide binder design by grounding generation in binding evidence retrieved for each target. It uses topology‐conditioned message passing to integrate relevant peptide examples with the target protein sequence, forming a residue‐level representation that guides the generation of diverse, target‐specific ...
Wenze Ding
wiley   +1 more source

Privacy-Preserving k-Nearest Neighbor Computation in Multiple Cloud Environments

IEEE Access, 2016
With the advent of big data era, clients lack of computational and storage resources tends to outsource data mining tasks to cloud computing providers in order to improve efficiency and save costs.
Hong Rong, Hui-Mei Wang, Jian Liu, Ming Xian   +3 more
doaj   +1 more source

MethyAnno: An Interpretable Automated Annotation Method Leveraging Multi‐Scale Information and Metric Learning Framework for scDNAm Data

Advanced Science, EarlyView.
MethyAnno enables robust and interpretable annotation of single‐cell DNA methylation data by integrating multi‐scale epigenetic information, bidirectional cross‐attention, and prototype‐based metric learning. The framework resolves rare and novel cell types across datasets while revealing cell‐type‐specific epigenetic signatures associated with disease
Yuhang Jia, Siyu Li, Songming Tang, Keju Gu, Shengquan Chen   +4 more
wiley   +1 more source