Results 71 to 80 of about 5,046,998 (306)
Reduced-Complexity Multiple-Symbol Detection of O-QPSK Signals in Smart Metering Utility Networks
In this work, an implementation-friendly multiple-symbol detection (MSD) scheme is proposed for the IEEE 802.15.4g offset quadrature phase shift keying (O-QPSK) receivers over the slow fading channel.
Congyu Shi +7 more
semanticscholar +1 more source
Probabilistic MIMO Symbol Detection With Expectation Consistency Approximate Inference [PDF]
In this paper, we explore low-complexity probabilistic algorithms for soft symbol detection in high-dimensional multiple-input multiple-output (MIMO) systems.
Javier Céspedes +3 more
semanticscholar +1 more source
This paper reveals how human lactoferrin–albumin fusion (hLF‐HSA) potently suppresses lung adenocarcinoma cell migration. hLF‐HSA upregulates NHE7, leading to Golgi alkalization, disruption of the Golgi secretome, downregulation of MMP1, and reversal of EMT. These findings suggest a novel Golgi‐targeting strategy to suppress cancer cell migration.
Hana Nopia +3 more
wiley +1 more source
An Analysis of Visibility Requirements and Reaction Times of Near-Field Projections
Successful communication between highly automated vehicles and vulnerable road users will be crucial in the future. In addition to the technical requirements of the communication system, the projected content is also essential to ensure successful ...
Tabea Schlürscheid +3 more
doaj +1 more source
Explainable Fraud Detection with Deep Symbolic Classification
There is a growing demand for explainable, transparent, and data-driven models within the domain of fraud detection. Decisions made by fraud detection models need to be explainable in the event of a customer dispute. Additionally, the decision-making process in the model must be transparent to win the trust of regulators and business stakeholders.
Visbeek, Samantha +2 more
openaire +4 more sources
Contextual detection of drawn symbols in old maps [PDF]
In this paper, we tackle the problem of detecting drawn symbols in old maps. We propose a novel approach that combines powerful low level descriptors to represent the local content of the objects, and contextual features to overcome the local analysis ambiguity. Our contribution is two-fold. Firstly, we propose a novel contextual feature adapted to our
Guyomard, Jonathan +3 more
openaire +1 more source
Discovery and Targeted Proteomic Studies Reveal Striatal Markers Validated for Huntington's Disease
ABSTRACT Objective Clinical trials for Huntington's disease (HD) enrolling persons before clinical motor diagnosis (CMD) lack validated biomarkers. This study aimed to conduct an unbiased discovery analysis and a targeted examination of proteomic biomarkers scrutinized by clinical validation. Methods Cerebrospinal fluid was obtained from PREDICT‐HD and
Daniel Chelsky +8 more
wiley +1 more source
Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease
ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito +14 more
wiley +1 more source
Application of multiple-input multiple-output (MIMO) technology to the filter bank multicarrier/offset quadrate amplitude modulation (FBMC/OQAM) system provides great improvements on its robustness to channel fading effects.
Şakir Şimşir
doaj +1 more source
Multi-Layer Superimposed Transmission for Optical Wireless Scattering Communication
We investigate the multi-layer superimposed transmission for optical wireless scattering communication where the symbol boundaries on different signal layers are not necessarily aligned in the time domain.
Guanchu Wang +3 more
doaj +1 more source

