No Image
25 years ago: the official farewell to the meter
On october 21st 1983 took place in S`evres on the western outskirts of Paris the official funeral of the meter. With it the notion of distance as a physical observable was buried.
Physics
2504.05544
Abstract and deep analysis are available in the full post.
No Image
2507.10338
Abstract and deep analysis are available in the full post.
No Image
2510.12218
Abstract and deep analysis are available in the full post.
No Image
2510.23578
Abstract and deep analysis are available in the full post.
No Image
2510.24574
Abstract and deep analysis are available in the full post.
No Image
2511.00062
Abstract and deep analysis are available in the full post.
No Image
2511.04451
Abstract and deep analysis are available in the full post.
2512.11083
As climate change continues to reshape marginal ice zones in the Arctic, accurate and reliable sea ice data are critical for ensuring maritime safety. This study compares regional ice charts from the Alaska Sea Ice Program (ASIP) with satellite-derived Copernicus sea ice concentration data to evalua
No Image
2512.12804
I develop a novel semantics for probabilities of counterfactuals that generalizes the standard Pearlian semantics: it applies to probabilistic causal models that cannot be extended into realistic structural causal models and are therefore beyond the scope of Pearl's semantics. This generalization is
2512.12997
CLIP delivers strong zero-shot classification but remains highly vulnerable to adversarial attacks. Previous work of adversarial fine-tuning largely focuses on matching the predicted logits between clean and adversarial examples, which overlooks uncertainty calibration and may degrade the zero-shot
No Image
2512.13985
This work presents an extended formulation of the Least Squares with Virtual Displacements (LSVD) method for estimating shear strength parameters from multiple soil samples under varying resistance conditions including cohesionless, frictional, and mixed types. LSVD is designed to identify a common
No Image
2512.14031
This study evaluates two leading approaches for teaching construction robots new skills to understand their applicability for construction automation: a Vision-Language-Action (VLA) model and Reinforcement Learning (RL) methods. The goal is to understand both task performance and the practical effor
No Image
2MASS Two-Color Interstellar Reddening Lines: the Band-Width Effect
The band-width effect on interstellar reddening lines in the J-H vs. H-K_s diagram of the 2MASS survey is investigated using synthetic color indices and color excesses based on the Kurucz model atmospheres. At large interstellar reddenings (E(H-K_s) larger than 1.0) reddening lines deviate considera
Astrophysics
No Image
3D Building Model Fitting Using A New Kinetic Framework
We describe a new approach to fit the polyhedron describing a 3D building model to the point cloud of a Digital Elevation Model (DEM). We introduce a new kinetic framework that hides to its user the combinatorial complexity of determining or maintaining the polyhedron topology, allowing the design o
Framework
Computational Geometry
Computer Science
Model
No Image
3DGS$^2$: Near Second-order Converging 3D Gaussian Splatting
3D Gaussian Splatting (3DGS) has emerged as a mainstream solution for novel view synthesis and 3D reconstruction. By explicitly encoding a 3D scene using a collection of Gaussian kernels, 3DGS achieves high-quality rendering with superior efficiency. As a learning-based approach, 3DGS training has b
No Image
A Bayesian Approach to Learning Causal Networks
Whereas acausal Bayesian networks represent probabilistic independence, causal Bayesian networks represent causal relationships. In this paper, we examine Bayesian methods for learning both types of networks. Bayesian methods for learning acausal networks are fairly well developed. These methods oft
Artificial Intelligence
Computer Science
Network
Learning
No Image
A Bayesian Method Reexamined
This paper examines the 'K2' network scoring metric of Cooper and Herskovits. It shows counterintuitive results from applying this metric to simple networks. One family of noninformative priors is suggested for assigning equal scores to equivalent networks.
Artificial Intelligence
Computer Science
No Image
A Brief History of Context
Context is a rich concept and is an elusive concept to define. The concept of context has been studied by philosophers, linguists, psychologists, and recently by computer scientists. Within each research community the term context was interpreted in a certain way that is well-suited for their goals,
Computer Science
HCI
No Image
A Case Study of the Arbitrariness of the h-Index and the Highly-Cited-Publications Indicator
The arbitrariness of the h-index becomes evident, when one requires q*h instead of h citations as the threshold for the definition of the index, thus changing the size of the core of the most influential publications of a dataset. I analyze the citation records of 26 physicists in order to determine
Digital Libraries
Computer Science
Physics
No Image
A Class of Transformations that Polarize Symmetric Binary-Input Memoryless Channels
A generalization of Ari kan's polar code construction using transformations of the form $G^{otimes n}$ where $G$ is an $ell times ell$ matrix is considered. Necessary and sufficient conditions are given for these transformations to ensure channel polarization. It is shown that a large class of such
Information Theory
Computer Science
Mathematics
No Image
A coarse-grained Langevin molecular dynamics approach to de novo protein structure prediction
De novo prediction of protein structures, the prediction of structures from amino-acid sequences which are not similar to those of hitherto resolved structures, has been one of the major challenges in molecular biophysics. In this paper, we develop a new method of de novo prediction, which combines
Condensed Matter
Quantitative Biology
No Image
A coupled approximate deconvolution and dynamic mixed scale model for large-eddy simulation
Large-eddy simulations of incompressible Newtonian fluid flows with approximate deconvolution models based on the van Cittert method are reported. The Legendre spectral element method is used for the spatial discretization to solve the filtered Navier--Stokes equations. A novel variant of approximat
Model
Physics
No Image
A Decision Tree Approach to Classify Web Services using Quality Parameters
With the increase in the number of web services, many web services are available on internet providing the same functionality, making it difficult to choose the best one, fulfilling users all requirements. This problem can be solved by considering the quality of web services to distinguish functiona
Information Retrieval
Computer Science
No Image
A Decision-Based View of Causality
Most traditional models of uncertainty have focused on the associational relationship among variables as captured by conditional dependence. In order to successfully manage intelligent systems for decision making, however, we must be able to predict the effects of actions. In this paper, we attempt
Artificial Intelligence
Computer Science
No Image
A direct proof of one Gromovs theorem
We give a new proof of the Gromov theorem: For any $C>0$ and integer $n>1$ there exists a function $Delta_{C,n}$ such that if the Gromov--Hausdorff distance between complete Riemannian $n$-manifolds $V$ and $W$ is not greater than $delta$, absolute values of their sectional curvatures $|K_{sigma}|le
Mathematics
No Image
A Divergence Formula for Randomness and Dimension (Short Version)
If $S$ is an infinite sequence over a finite alphabet $Sigma$ and $beta$ is a probability measure on $Sigma$, then the {it dimension} of $ S$ with respect to $beta$, written $dim^beta(S)$, is a constructive version of Billingsley dimension that coincides with the (constructive Hausdorff) dimension $
Information Theory
Computational Complexity
Computer Science
Mathematics
No Image
A Framework for Decision-Theoretic Planning I: Combining the Situation Calculus, Conditional Plans, Probability and Utility
This paper shows how we can combine logical representations of actions and decision theory in such a manner that seems natural for both. In particular we assume an axiomatization of the domain in terms of situation calculus, using what is essentially Reiter's solution to the frame problem, in terms
Artificial Intelligence
Computer Science
Framework
No Image
A Framework for Semi-automated Web Service Composition in Semantic Web
Number of web services available on Internet and its usage are increasing very fast. In many cases, one service is not enough to complete the business requirement; composition of web services is carried out. Autonomous composition of web services to achieve new functionality is generating considerab
Artificial Intelligence
Computer Science
Framework
No Image
A Fully Parameterized Fem Model for Electromagnetic Optimization of an RF Mems Wafer Level Package
In this work, we present a fully parameterized capped transmission line model for electromagnetic optimization of a wafer level package (WLP) for RF MEMS applications using the Ansoft HFSS-TM electromagnetic simulator. All the degrees of freedom (DoF's) in the package fabrication can be modified wit
Computer Science
Other CS
Model
No Image
A global physician-oriented medical information system
We propose to improve medical decision making and reduce global health care costs by employing a free Internet-based medical information system with two main target groups: practicing physicians and medical researchers. After acquiring patients' consent, physicians enter medical histories, physiolog
Databases
Artificial Intelligence
Computer Science
Computers and Society
System
No Image
A high-field 3He Metastability Exchange Optical Pumping polarizer operating in a 1.5 T medical scanner for lung MRI
After being hyperpolarized using the technique of Metastability Exchange Optical Pumping (MEOP), 3He can be used as a contrast agent for lung magnetic resonance imaging (MRI). MEOP is usually performed at low magnetic field (~ 1 mT) and low pressure (~ 1 mbar), which results in a low magnetization p
Physics
No Image
A Methodology for Efficient Space-Time Adapter Design Space Exploration: A Case Study of an Ultra Wide Band Interleaver
This paper presents a solution to efficiently explore the design space of communication adapters. In most digital signal processing (DSP) applications, the overall architecture of the system is significantly affected by communication architecture, so the designers need specifically optimized adapter
Computer Science
Hardware Architecture
No Image
A Modelling Approach Based on Fuzzy Agents
Modelling of complex systems is mainly based on the decomposition of these systems in autonomous elements, and the identification and definitio9n of possible interactions between these elements. For this, the agent-based approach is a modelling solution often proposed. Complexity can also be due to
Artificial Intelligence
Computer Science
Model
No Image
A morphogenetic crop model for sugar-beet (Beta vulgaris L.)
This paper is the instructions for the proceeding of the International Symposium on Crop. Sugar beet crop models have rarely taken into account the morphogenetic process generating plant architecture despite the fact that plant architectural plasticity plays a key role during growth, especially unde
Quantitative Biology
Model
No Image
A Multivariate Regression Approach to Association Analysis of Quantitative Trait Network
Many complex disease syndromes such as asthma consist of a large number of highly related, rather than independent, clinical phenotypes, raising a new technical challenge in identifying genetic variations associated simultaneously with correlated traits. In this study, we propose a new statistical f
Quantitative Biology
Machine Learning
Analysis
Statistics
Network
No Image
A new distance for high level RNA secondary structure comparison
We describe an algorithm for comparing two RNA secondary structures coded in the form of trees that introduces two new operations, called node fusion and edge fusion, besides the tree edit operations of deletion, insertion, and relabeling classically used in the literature. This allows us to address
Quantitative Biology
Computer Science
Data Structures
No Image
A New Efficient Key Management Protocol for Wireless Sensor and Actor Networks
Research on sensor networks has become much more active and is currently being applied to many different fields. However since sensor networks are limited to only collecting and reporting information regarding a certain event, and requires human intervention with that given information, it is often
Cryptography and Security
Computer Science
Network
No Image
A new greedy randomized adaptive search procedure for multiobjective RNA structural alignment
RNA secondary structures prediction is one of the main issues in bioinformatics. It seeks to elucidate structural conserved regions within a set of RNA sequences. Unfortunately, finding an accurate conserved structure is a very hard task to do. Within the present study, the prediction problem is con
Computer Science
Data Structures
Computational Engineering
No Image
A New Look at Causal Independence
Heckerman (1993) defined causal independence in terms of a set of temporal conditional independence statements. These statements formalized certain types of causal interaction where (1) the effect is independent of the order that causes are introduced and (2) the impact of a single cause on the effe
Artificial Intelligence
Computer Science
No Image
A New Pruning Method for Solving Decision Trees and Game Trees
The main goal of this paper is to describe a new pruning method for solving decision trees and game trees. The pruning method for decision trees suggests a slight variant of decision trees that we call scenario trees. In scenario trees, we do not need a conditional probability for each edge emanatin
Artificial Intelligence
Computer Science
No Image
A new scheme of signature extraction for iris authentication
Iris recognition, a relatively new biometric technology, has great advantages, such as variability, stability and security, thus is the most promising for high security environment. Iris recognition is proposed in this report. We describe some methods, the first one is based on grey level histogram
Computer Science
Computer Vision
No Image
A non-Markovian model of rill erosion
We introduce a new model for rill erosion. We start with a network similar to that in the Discrete Web and instantiate a dynamics which makes the process highly non-Markovian. The behavior of nodes in the streams is similar to the behavior of Polya urns with time-dependent input. In this paper we us
Model
Physics
Mathematics
No Image
A non-negative expansion for small Jensen-Shannon Divergences
In this report, we derive a non-negative series expansion for the Jensen-Shannon divergence (JSD) between two probability distributions. This series expansion is shown to be useful for numerical calculations of the JSD, when the probability distributions are nearly equal, and for which, consequently
Machine Learning
Statistics
No Image
A Novel Term Weighing Scheme Towards Efficient Crawl of Textual Databases
The Hidden Web is the vast repository of informational databases available only through search form interfaces, accessible by therein typing a set of keywords in the search forms. Typically, a Hidden Web crawler is employed to autonomously discover and download pages from the Hidden Web. Traditional
Information Retrieval
Computer Science
Data
No Image
A patient-specific respiratory model of anatomical motion for radiation treatment planning
Modeling of respiratory motion is important for a more accurate understanding and accounting of its effect on dose to cancers in the thorax and abdomen by radiotherapy. We have developed a model of respiration-induced organ motion in the thorax, without the commonly adopted assumption of repeatable
Model
Physics
No Image
A Polynomial Algorithm for Computing the Optimal Repair Strategy in a System with Independent Component Failures
The goal of diagnosis is to compute good repair strategies in response to anomalous system behavior. In a decision theoretic framework, a good repair strategy has low expected cost. In a general formulation of the problem, the computation of the optimal (lowest expected cost) repair strategy for a s
System
Artificial Intelligence
Computer Science
No Image
A polynomial-time algorithm for the automatic Baire property
A subset of a topological space possesses the Baire property if it can be covered by an open set up to a meagre set. For the Cantor space of infinite words Finkel introduced the automatic Baire category where both sets, the open and the meagre, can be chosen to be definable by finite automata.
No Image
A Semi-automated Peer-review System
A semi-supervised model of peer review is introduced that is intended to overcome the bias and incompleteness of traditional peer review. Traditional approaches are reliant on human biases, while consensus decision-making is constrained by sparse information. Here, the architecture for one potential
System
Social Networks
HCI
Digital Libraries
Physics
Computer Science
No Image
A stitch in time: Efficient computation of genomic DNA melting bubbles
Background: It is of biological interest to make genome-wide predictions of the locations of DNA melting bubbles using statistical mechanics models. Computationally, this poses the challenge that a generic search through all combinations of bubble starts and ends is quadratic. Results: An efficien
Quantitative Biology
< Category Statistics (Total: 5396) >
Astrophysics
69
Computer Science
2044
Condensed Matter
71
Economics
3
Electrical Engineering and Systems Science
1
General Relativity
5
General Research
37
HEP-EX
6
HEP-PH
3
HEP-TH
7
MATH-PH
13
Mathematics
139
NUCL-EX
7
NUCL-TH
1
Nonlinear Sciences
33
Physics
477
Quantitative Biology
207
Quantitative Finance
87
Quantum Physics
12
Research
2662
Statistics
68