1. INI-VPINN: A Variational Physics-Informed Neural Network with Implicit Neumann and Interface Handling for Multi-Material Domains with Geometric Singularities

   http://arxiv.org/abs/2606.18032v1 · arxiv

   We propose a new weak-form Physics-Informed Neural Network approach (named INI-VPINN). INI-VPINN naturally incorporates Neumann boundary and interface conditions into the variational formulation. It removes the need for additional loss terms or multiple subdomain networks. This framework employs com

2. Challenges in teaching Real Analysis classes at the University of PGRI, South Sumatra, Indonesia

   http://arxiv.org/abs/2008.00182v1 · arxiv

   This paper discusses our experiences and challenges in teaching advanced undergraduate Real Analysis classes for Mathematics Education students at the University of PGRI (Persatuan Guru Republik Indonesia, Indonesian Teachers Association) Palembang, South Sumatra, Indonesia. We observe that the syll

3. Spectrum to all orders of Polchinski-Strominger {Effective} String Theory of Polyakov-Liouville Type

   http://arxiv.org/abs/0910.5615v2 · arxiv

   The spectrum of a Polchinski-Strominger type effective string theory, extended to all orders, herein called an effective string theory of the \emph{Polyakov-Liouville Type} (for obvious reasons) is investigated to all orders in the small parameter $R^{-1}$. Here $R$ is the length of the \emph{closed

4. A No-go theorem for de Sitter compactifications?

   http://arxiv.org/abs/hep-th/0205056v1 · arxiv

   A general framework for studying compactifications in supergravity and string theories was introduced by Candelas, Horowitz, Strominger and Witten. This was further generalised to take into account the warp factor by de Wit, Smit and Hari Dass. Though the prime focus of the latter was to find soluti

5. Context in object detection: a systematic literature review

   http://arxiv.org/abs/2503.23249v1 · arxiv

   Context is an important factor in computer vision as it offers valuable information to clarify and analyze visual data. Utilizing the contextual information inherent in an image or a video can improve the precision and effectiveness of object detectors. For example, where recognizing an isolated obj

6. The effects of ENSO, climate change and human activities on the water level of Lake Toba, Indonesia: a critical literature review

   http://arxiv.org/abs/2105.08918v1 · arxiv

   This research quantitatively and qualitatively analyzes the factors responsible for the water level variations in Lake Toba, North Sumatra Province, Indonesia. According to several studies carried out from 1993 to 2020, changes in the water level were associated with climate variability, climate cha

7. A Brief Review of Hypernetworks in Deep Learning

   http://arxiv.org/abs/2306.06955v3 · arxiv

   Hypernetworks, or hypernets for short, are neural networks that generate weights for another neural network, known as the target network. They have emerged as a powerful deep learning technique that allows for greater flexibility, adaptability, dynamism, faster training, information sharing, and mod

8. A Model of Interface Growth with non-Burgers Dynamical Exponent

   http://arxiv.org/abs/cond-mat/9704139v1 · arxiv

   We define a new model of interface roughening which has the property that the minimum of interface height is conserved locally during the growth. This model corresponds to the limit $q \to \infty$ of the q-color dimer deposition-evaporation model introduced by us earlier [Hari Menon M K and Dhar D 1

9. GIS-AHP Multi-Decision-Criteria-Analysis for the Optimal Location of Solar Energy Plants at Indonesia

   http://arxiv.org/abs/2007.15351v1 · arxiv

   A reliable tool for site-suitability assessment of solar power plants capable to account for the sustainable development and protection of cultural and biodiversity conservation areas is proposed. We present a novel Analytic Hierarchy Process (AHP) based approach for the Multi-Decision Criteria Anal

10. Fluctuations and Higgs mechanism in Under-Doped Cuprates: a Review

    http://arxiv.org/abs/1906.10146v1 · arxiv

    The physics of the pseudo-gap phase of high temperature cuprate superconductors has been an enduring mystery in the past thirty years. The ubiquitous presence of the pseudo-gap phase in under-doped cuprates suggests that its understanding holds a key in unraveling the origin of high temperature supe

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