Results 71 to 80 of about 95,792 (317)
Bringing efficient advanced queries to distributed hash tables [PDF]
Interest in distributed storage is fueled by demand for reliability and resilience combined with ubiquitous availability. Peer-to-peer (P2P) storage networks are known for their decentralized control, self-organization, and adaptation. Advanced searching for documents and resources remains an open problem.
Bauer, Daniel +3 more
openaire +2 more sources
Toward a dynamically balanced cluster oriented DHT [PDF]
In this paper, we present a model for a cluster oriented Distributed Hash Table (DHT). It introduces software nodes, virtual nodes and partitions as high level entities that, in conjunction with the definition of a certain number of in variants, provide ...
Alves, Albano +3 more
core
Mechanism‐Driven Screening of Membrane‐Targeting and Pore‐Forming Antimicrobial Peptides
To combat antibiotic resistance, this study employs mechanism‐driven screening with machine learning to identify pore‐forming antimicrobial peptides from amphibian and human metaproteomes. Seven peptides are validated, showing minimal toxicity and membrane disruption.
Jiaxuan Li +9 more
wiley +1 more source
Efficient, Traceable and Privacy-Aware Data Access Control in Distributed Cloud-Based IoD Systems
The emerging combination of Internet of Things (IoT) and aerospace integration aided by satellite and 6G communication techniques has stimulated the Internet of Unmanned Aerial Vehicles (UAVs), i.e., Internet of Drones (IoD). To accommodate and share the
Zhuo Ma, Jiawei Zhang
doaj +1 more source
Multicast in DKS(N, k, f) Overlay Networks [PDF]
Recent developments in the area of peer-to-peer computing show that structured overlay networks implementing distributed hash tables scale well and can serve as infrastructures for Internet scale applications.
Ali Ghodsi +4 more
core +7 more sources
Machine Learning for Green Solvents: Assessment, Selection and Substitution
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta +4 more
wiley +1 more source
UnoHop: Efficient Distributed Hash Table with O(1) Lookup Performance
Distributed Hash Tables (DHTs) with O(1) lookup performance strive to minimize the maintenance traffic required for disseminating membership changes information (events).
Herry Sitepu +3 more
doaj
RACED: Routing in Payment Channel Networks Using Distributed Hash Tables [PDF]
Kartick Kolachala +2 more
openalex +1 more source
Replica Placement and Location using Distributed Hash Tables [PDF]
Interest in distributed storage is fueled by demand for reliability and resilience combined with decreasing hardware costs. Peer-to-peer storage networks based on distributed hash tables are attractive for their efficient use of resources and result- ing performance.
Waldvogel, Marcel +2 more
openaire +2 more sources
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

