SinoXivCRISPR-Cas9 screening enables systematic identification of gene dependencies across diverse cancer cell lines. However, distinguishing lineage-specific vulnerabilities from broadly essential genes rem...
This paper advances a human-centered understanding of urban acceptance of autonomous vehicles (AVs) within ambient-intelligence mobility systems. Using survey data from 5,070 respondents across ten Eu...
EEG signals face challenges such as a scarcity of training data, significant individual variability, and difficulties in designing neural network architectures, which severely limit the performance an...
Battery management systems rely on equivalent-circuit models (ECMs) that become progressively wrong as the cell ages. Classical adaptive remedies — periodic parameter re-identification, extended Kalma...
COVID-19 has accelerated the challenges of cardiovascular complications among patients, leading to the increased urgency of safe, trustworthy, and smart healthcare information management systems. Elec...
The research investigates how data-driven recruitment methods can enhance South Sudan's unstable public sector through its study of the State Ministry of Labour in Eastern Equatoria, which faces ongoi...
Pairwise ranking systems based on Maximum Likelihood Estimation (MLE), such as the Bradley-Terry model, are widely used to aggregate preferences from pairwise comparisons. However, their robustness un...
Dynamic data distributions, system failures, and low-latency, cost-effective processing are becoming more of a challenge to modern real-time data pipelines. Current streaming architectures are based o...
The production of charmonium resonances in proton-proton collisions provides a unique labora tory for understanding quantum chromodynamics (QCD) at the interface of perturbative and non perturbative r...
Database Activity Monitoring (DAM) systems are critical for detecting anomalous and malicious database inter- actions. However, traditional DAM architectures rely on direct inspection of SQL queries, ...
