MONKES is a new neoclassical code for the evaluation of monoenergetic transport coefficients in stellarators. By means of a convergence study and benchmarks with other codes, it is shown that MONKES is accurate and efficient. The combination of spect...
Parcours vers l’enseignement Canada a formé un partenariat avec World Education Services (WES) Canada pour l’évaluation des diplômes des enseignantes et enseignants formés à l’étranger qui …
Sep 14, 2025 · Agréé par le gouvernement canadien, WES évalue les diplômes et les relevés de notes selon des normes canadiennes. Cette évaluation est notamment requise pour les programmes …
Offline multi-agent reinforcement learning (MARL) is an emerging field with great promise for real-world applications. Unfortunately, the current state of research in offline MARL is plagued by inconsistencies in baselines and evaluation protocols, w...
A C-program DIANA (DIagram ANAlyser) for the automatic Feynman diagram evaluation is presented....
Presented at Scipy Conference 2019 (⭐ 128)
Feedback is a critical aspect of improvement. Unfortunately, when there is a lot of feedback from multiple sources, it can be difficult to distill the information into actionable insights. Consider student evaluations of teaching (SETs), which are im...
Short-circuit evaluation denotes the semantics of propositional connectives in which the second argument is evaluated only if the first argument does not suffice to determine the value of the expression. In programming, short-circuit evaluation is wi...
High efficiency video coding is the current trend setting standard for coding and transmission of video content. This standard has brought in many improvements over its predecessor H264 standard. In this paper, performance evaluation of transmitting...
This project hits all of the points that I had planned to do for this project. The first part of the project provides a simple comparison of historical stock prices of the last 5 years of companies within a same industry. I chose to do my analysis of 5 companies within the tech i…
I’m one of the builders at Maxim AI, and over the past few months we’ve been working deeply on how to make evaluation and observability workflows more aligned with how real engineering and product...
Off-policy evaluation and learning in contextual bandits use logged interaction data to estimate and optimize the value of a target policy. Most existing methods require sufficient action overlap between the logging and target policies, and violation...
We argue that the Declarative Self-improving Python (DSPy) optimizers are a way to align the large language model (LLM) prompts and their evaluations to the human annotations. We present a comparative analysis of five teleprompter algorithms, namely,...
The paper describes a new supply capacity evaluation model based on the non-extensive statistical entropy. The traditional EW-TOPSIS model is selected as baseline and the GRA method is used to modify it. The correction results in the non-extensive pa...
Evaluating robot control policies is difficult: real-world testing is costly, and handcrafted simulators require manual effort to improve in realism and generality. We propose a world-model-based policy evaluation environment (WorldGym), an autoregre...
This report presents the final results of a study, 'Evaluation of Networks of Collaboration in IST Research within the European Research Area' (ERAnets), conducted for the European Commission. The ERAnets project developed and applied tools and met...
This research paper delves into the innovative integration of Shannon entropy and rough set theory, presenting a novel approach to generalize the evaluation approach in machine learning. The conventional application of entropy, primarily focused on i...
A power system is a complex cyber-physical system whose security is critical to its function. A major challenge is to model and analyze its communication pathways with respect to cyber threats. To achieve this, the design and evaluation of a cyber-ph...
The challenge of CPU evaluation lies in the fact that user-perceived performance metrics can only be measured on an independently running system consisting of the CPU and other indispensable components, and hence it is difficult to accurately attribu...
To mitigate the significant biases/errors in research studying the associations between PM and health, which are introduced by the coarse/inadequate assessments of PM exposure from conventional PM monitoring paradigm, a personalized monitoring system...