Tag: computer-science · clear
48 items — page 2 of 2
Why the minimum effective dose is unidentifiable - and how a DOR→OOD standard delivers label-ready dosing in oncology.
Machine learning-based models for predicting the efficacy and safety of recombinant human interleukin-11 in the treatment of cancer therapy-induced thrombocytopenia: exploration and preliminary validation from a multicenter retrospective study.
Adversarial Contamination Meets Hard Thresholding: an Iterative Algorithm with Signal Adaptivity and Minimax Optimality
Analysis of building energy efficiency optimization design effectiveness based on multi-objective optimization algorithm
With the increasing attention of society to sustainable development and environmental friendly design, building energy saving design has become a research hotspot. In this paper, a method combining multi-objective optim…
A Primal Dual Active Set with Continuation Algorithm for â„“0-penalized High-dimensional Accelerated Failure Time Model
Application Evaluation of Virtual Image Visual Recognition Algorithm in Two-dimensional Digital Art Animation Synthesis Technology
A Hybrid PSO - SVM Algorithm for Enhanced Nodule Classification in CT Scans: Advancing Lung Cancer Diagnosis
Parallel Tempered Metadynamics for full QCD
We present an algorithm that addresses topological freezing in lattice QCD simulations by combining parallel tempering with collective-variable-based enhanced sampling methods, and apply it to a particularly challenging…
Fault-tolerant quantum algorithms for simulating atomic nuclei
To maximize the value of fault-tolerant quantum computers, it is essential to develop concrete applications beyond well-established domains such as chemistry and condensed-matter physics. Here we construct and compile q…
Identifying and Distinguishing Quenching Galaxies with Spatially Resolved Star Formation in the Hubble Frontier Fields
We investigate the nature and prevalence of different quenching signatures for 1437 galaxies with $M_{*} \geqslant 10^{8}~\mathrm{M}_{\odot}$ and $\text{SFR} \geqslant 10^{-3}~M_{\odot}~\text{yr}^{-1}$ in the Hubble Fro…
Strategic Plan for Neutral Atom Quantum Computation
We present a strategic plan for neutral atom quantum computation, bringing together hardware development and theory advancements to achieve the goal of practical quantum advantage. The concept of practical quantum advan…
The Boundaries of Automation: A Theory of Persistent Human Participation
The rapid progress of AI has intensified the long-standing pursuit of automation: replacing human participation with algorithms wherever possible. Implicit in this pursuit is the assumption that humans remain in the loo…
Teaching Business Process Modeling to Leverage Soft Skills of Computing Students
Background and Context: Organizations have highly depended on software systems to realize their business processes and achieve strategic business goals and competitive advantage; hence, computing professionals who can u…
Sport Genetics Research in Turkey (2019–2026): A Scoping Review of Research Trends, Methodological Quality, and Future Directions
This study aims to systematically review genetic association studies examining the relationship between genetic polymorphisms and athletic performance, injury risk, and psychological parameters in Turkish athlete popula…
A ProbLog program to infer individual genotypes from familial phenotypes in autosomal, X-linked, and Y-linked Mendelian disorders
The automated reconstruction of patient family history is a common challenge in genetic counseling for disease prevention. Such a family history is usually determined for a particular subset of diseases that are Mendeli…
PN-QNN: Harnessing Physical Noise as a Native Regularizer in Photonic Hybrid Quantum Neural Networks
Physical noise in near-term quantum hardware is usually treated as a nuisance to suppress. We ask whether it can instead act as a hardware-native regularizer for photonic hybrid quantum-classical neural networks (PHQCNN…
EvoThink: Evolving Thinking in Large Reasoning Models via Self-Pruning and Aha-Moment Preference Optimization
Large Reasoning Models (LRMs) often suffer from overthinking due to redundant verification steps. Existing approaches for mitigating overthinking, such as fast-slow thinking switching and reasoning trajectory compressio…
A Kuramoto phase model to explore the synchronisation of a network of circadian clocks
We propose a model of the circadian clock in a population of cells based on a network of oscillators, derived from the Kuramoto model. The coupling between oscillators is described by a global interaction term but we in…
Artificial Intelligence in Plant Sciences
Artificial intelligence (AI) may be referred to as a family of technologies which allow computers and other machines to perform the tasks that were previously dependent on human intelligence. In order to perform the tas…
Artificial Intelligence in Plant Sciences
Artificial intelligence (AI) may be referred to as a family of technologies which allow computers and other machines to perform the tasks that were previously dependent on human intelligence. In order to perform the tas…
Bayesian evidence adaptive pursuit to identify neutron sources with scatter-based spectrometers
Reliable neutron source identification is essential for nuclear nonproliferation, safeguards, and homeland security, but remains challenging because neutron spectral inversion is often ill-conditioned, especially for mi…
Quantum-Inspired Nonlinear Model PredictiveControl via Quantum Singular Value Transformationfor Autonomous Systems
The deployment of Nonlinear Model Predictive Con- trol (NMPC) in safety-critical autonomous systems is frequently constrained by the computational intractability of solving non- convex optimization problems within stric…