Improving Stochastic Computing Fault-Tolerance: A Case Study on Discrete Wavelet Transform [PDF]
The stochastic computing (SC) method is a low-cost alternative to conventional binary computing that processes digital data in the form of pseudo-random bit-streams in which bit-flip errors have a trivial effect on the signal final value because of the ...
Shabnam Sadeghi, Ali Mahani
doaj +1 more source
Real-Time NLOS/LOS Identification for Smartphone-Based Indoor Positioning Systems Using WiFi RTT and RSS [PDF]
The accuracy of smartphone-based positioning systems using WiFi usually suffers from ranging errors caused by non-line-of-sight (NLOS) conditions. Previous research usually exploits several distribution features from a long time series (hundreds of ...
Yi Dong, T. Arslan, Yunjie Yang
semanticscholar +1 more source
A Synthetic Platform for Antibody Junctional Diversification Beyond Natural Constraints. [PDF]
ARESEC is a synthetic platform that reconstructs functional V(D)J recombination in HEK293T cells. By introducing RSS elements and co‐expressing RAG1/2 and TdT across all three antibody CDRs, it enables programmable junctional diversification and direct generation of high‐affinity variants targeting PD‐1/PD‐L1, overcoming the evolutionary constraints of
Liu W, Yang J, Zhang Y, Xue X.
europepmc +2 more sources
Filtration of UAV Movement Parameters Based on the Received Signal Strength Measurement Sensor Networks in the Presence of Anomalous Measurements of Unknown Power at the Transmitter [PDF]
Methods based on received signal strength measurements (RSS measurements) are used to determine the unmanned aerial vehicle (UAV) location using a wireless sensor network. The UAV transmitter power is usually unknown. In real conditions, it often becomes
Igor Olegovych Tovkach +1 more
doaj +1 more source
Wastewater-based surveillance models for COVID-19: A focused review on spatio-temporal models
The evident shedding of the SARS-CoV-2 RNA particles from infected individuals into the wastewater opened up a tantalizing array of possibilities for prediction of COVID-19 prevalence prior to symptomatic case identification through community testing ...
Fatemeh Torabi +8 more
doaj +1 more source
A Bluetooth 5.1 Dataset Based on Angle of Arrival and RSS for Indoor Localization
Several Radio-Frequency technologies have been explored to evaluate the efficacy of localization algorithms in indoor environments, including Received Signal Strength (RSS), Time of Flight (ToF), and Angle of Arrival (AoA). Among these, AoA technique has
M. Girolami +3 more
semanticscholar +1 more source
This work presents a methodology for the hydrological characterization of natural and urban landscapes, focusing on accurate estimations of infiltration capacity and runoff characteristics.
Chloe Campo +2 more
doaj +1 more source
RSS: Effective and Efficient Training for Sequential Recommendation Using Recency Sampling
Many modern sequential recommender systems use deep neural networks, which can effectively estimate the relevance of items but require a lot of time to train.
A. Petrov, Craig Macdonald
semanticscholar +1 more source
Sensing and regulation of reactive sulfur species (RSS) in bacteria
The infected host deploys generalized oxidative stress caused by small inorganic reactive molecules as antibacterial weapons. An emerging consensus is that hydrogen sulfide (H2S) and forms of sulfur with sulfur-sulfur bonds termed reactive sulfur species
D. Giedroc +3 more
semanticscholar +1 more source
An accurate RSS/AoA-based localization method for internet of underwater things
the Cramer – Rao lower bounds (CRLBs) are derived to bound the performance of the RSS-based estimator. In comparison with other localization schemes, the proposed method increases localization accuracy by more than 13%.
Azadeh Pourkabirian +3 more
semanticscholar +1 more source

