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Thesis Tide

Thesis Tide ranks papers based on their relevance to the fields, with the goal of making it easier to find the most relevant papers. It uses AI to analyze the content of papers and rank them!

YOLOv5-Based Object Detection for Emergency Response in Aerial Imagery

This paper presents a robust approach for object detection in aerial imagery using the YOLOv5 model. We focus on identifying critical objects such as ambulances, car crashes, police vehicles, tow truc...

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The article presents a significant application of the YOLOv5 model for critical object detection in aerial imagery, addressing a relevant and pressing need in emergency response systems. The focus on real-time applicability coupled with a thorough methodology for dataset preparation and model evaluation indicates strong methodological rigor. Furthermore, the insights offered for future research demonstrate the article's potential to inspire advancement in this field. However, while the findings are noteworthy, more context on collaborative frameworks or practical implementation could enhance its interdisciplinary impact.

HiVeGen -- Hierarchical LLM-based Verilog Generation for Scalable Chip Design

With Large Language Models (LLMs) recently demonstrating impressive proficiency in code generation, it is promising to extend their abilities to Hardware Description Language (HDL). However, LLMs tend...

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The proposed HiVeGen framework represents a significant advancement in the integration of Large Language Models with Hardware Description Languages, specifically addressing key challenges in hierarchical design generation and error correction. Its innovative approach to hierarchical decomposition and real-time interaction enhances both productivity and code quality in chip design, indicating strong methodological rigor and potential for broad applicability in both industry and academia.

Effect of electric field on excitons in wide quantum wells

A microscopic model of a heterostructure with a quantum well (QW) is proposed to study the exciton behavior in an external electric field. The effect of an electric field ranging from 0 to 6 kV/cm app...

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The article presents a detailed microscopic model and numerical analysis of exciton behavior in quantum wells under electric fields, which is a relatively novel approach. The rigorous methodology, including the numerical solution of the three-dimensional Schrödinger equation, enhances the validity of the findings. The exploration of exciton dissociation and shifts in their properties under varying electric fields can have significant implications for optoelectronic devices. The potential applicability in guiding the design of future materials and technologies enhances its relevance.

Poisson structures in the Banach setting: comparison of different approaches

In this paper we examine various approaches to the notion of Poisson manifold in the context of Banach manifolds. Existing definitions are presented and differences between them are explored and illus...

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The paper presents a thorough comparison of existing definitions of Poisson structures in the Banach setting, which is relatively novel and can impact the understanding and application of Poisson geometry in infinite-dimensional spaces. The methodological rigor and the use of examples further enhance its applicability, making it a significant contribution to the field.

Tabular data generation with tensor contraction layers and transformers

Generative modeling for tabular data has recently gained significant attention in the Deep Learning domain. Its objective is to estimate the underlying distribution of the data. However, estimating th...

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This article tackles the contemporary challenge of generative modeling of tabular data, which is underserviced in the deep learning community. The use of tensor contraction layers in conjunction with transformer architectures presents a novel methodological approach that could advance how generative models handle mixed data types. Its rigorous empirical analysis across multiple datasets lends credibility to its findings and suggests practical implications for real-world applications, making it highly relevant.

A cospectral construction for the generalized distance matrix

The generalized distance matrix of a graph is a matrix in which the $(i,j)$ th entry is a function, $f$ , of the distance between vertex $i$ and vertex $j$ . Depending on ...

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This article presents a significant advancement in spectral graph theory by providing a cospectral construction for generalized distance matrices, which are crucial in characterizing graph properties. The novelty lies in the established connection to existing methods like Godsil-McKay switching, which adds methodological rigor. The investigation into exponential distance matrices broadens the applicability of the findings. Overall, the research has the potential to inspire future studies on graph spectra and other related topics.

CALICO: Conversational Agent Localization via Synthetic Data Generation

We present CALICO, a method to fine-tune Large Language Models (LLMs) to localize conversational agent training data from one language to another. For slots (named entities), CALICO supports three ope...

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CALICO demonstrates significant methodological innovation in leveraging synthetic data generation to enhance the localization of conversational agent training data. Its ability to outperform existing translation methods indicates both novelty and practical utility in improving Large Language Models, which is crucial for multilingual applications. The creation of a human-localized dataset further contributes to robust empirical validation and potential adoption in the field.

Identification of the initial value for a space-time fractional diffusion equation

In this paper, we study an inverse problem for identifying the initial value in a space-time fractional diffusion equation from the final time data. We show the identifiability of this inverse problem...

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This article addresses a complex inverse problem related to space-time fractional diffusion equations, which is a novel and challenging area of study in mathematical physics and applied mathematics. The methodology employed includes proving the uniqueness of solutions, which enhances its theoretical impact. The study offers valuable numerical examples, though the presence of some ill-posedness would necessitate further practical validation. Overall, the paper adds significant value to the fields of fractional calculus and applied mathematics by presenting new methods and highlighting the stability issues in the presence of noise.

DIFEM: Key-points Interaction based Feature Extraction Module for Violence Recognition in Videos

Violence detection in surveillance videos is a critical task for ensuring public safety. As a result, there is increasing need for efficient and lightweight systems for automatic detection of violent ...

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The article presents a novel approach (DIFEM) which is both efficient and effective for violence recognition in videos, addressing a significant social issue. Its innovative use of human skeleton key-points to extract dynamic features is a unique contribution to the field. The extensive experimental validation on multiple datasets enhances its credibility and practical applicability.

Enhanced 5G/B5G Network Planning/Optimization deploying RIS in Urban/Outdoor Scenarios

In recent years, the fifth-generation (5G) mobile network has been developed worldwide to remarkably improve network performance and spectral efficiency. Very recently, reconfigurable intelligent surf...

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This article presents a novel application of reconfigurable intelligent surfaces (RIS) in the context of 5G and B5G networks, targeting urban environments specifically. Its methodological rigor is supported by simulations demonstrating clear improvements in network performance. The focus on a specific geographic area (Quito, Ecuador) adds practical relevance, while the exploration of advanced RIS functionalities like STARS contributes to the advancement in this rapidly evolving technological landscape. The potential to influence future research in both 5G technology and urban network planning enhances its relevance significantly.

Energy Correlators in Perturbative Quantum Gravity

Despite tremendous progress in our understanding of scattering amplitudes in perturbative (super-) gravity, much less is known about other asymptotic observables, such as correlation functions of dete...

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The article presents a novel approach to studying correlation functions in perturbative quantum gravity, an area of theoretical physics that has seen limited exploration compared to scattering amplitudes. The methodology proposed to compute these correlators is both innovative and grounded in the recent advancements in field theory. The findings related to kinematic limits add a significant layer of depth to our understanding of quantum gravity and provide a pathway for future research. The rigor of the calculations and insights into properties of graviton amplitudes also enhances its academic value.

A comprehensive study of electronic and piezoelectric properties of Li-based Tin-halide perovskites from GGA and Meta-GGA

Wide bandgap semiconductors (WBGs) are predicted to be the potential materials for energy generation and storing. In this work, we used density functional theory (DFT) that incorporates generalized gr...

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This article presents a detailed analysis of novel Li-based Tin-halide perovskites with a comprehensive investigation of their electronic and piezoelectric properties using advanced computational methods. The study emphasizes eco-friendly materials with potential for optoelectronics and energy applications, which is highly relevant given current global energy challenges. The use of both GGA and mGGA in density functional theory adds methodological rigor. However, the impact may be somewhat limited if practical experimental validation is not included in future work.

Scalar perturbation and density contrast evolution in $f(Q,C)$ gravity

The symmetric teleparallel theory offers an alternative gravitational formulation which can elucidate events in the early and late universe without requiring the physical existence of dark matter or d...

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This article presents a novel approach to gravitational theories by analyzing scalar perturbations in the context of $f(Q,C)$ gravity. The work is methodologically robust, offering both new insights and the ability to retrieve previous models, indicating its potential to influence future research. The lack of reliance on dark matter or dark energy is particularly noteworthy, which may inspire alternative paradigms in cosmology.

The boundary entropy function for interface conformal field theories

In 1+1 dimensional conformal field theory with a boundary the boundary contribution to the entanglement entropy is determined by a single number $g$ effectively counting the boundary degrees o...

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This article presents a novel approach by focusing on the boundary contribution to entanglement entropy in interface conformal field theories (CFTs)—a relatively underexplored area. The use of holography to derive the g-function and its properties adds both methodological rigor and relevance to quantum field theory. The implications for RG flows and strong subadditivity enhance its contribution to foundational concepts in the field, making it a significant advancement in understanding boundary conditions in quantum systems.

Clear skies ahead: characterizing atmospheric gravity gradient noise for vertical atom interferometers

Terrestrial long-baseline atom interferometer experiments are emerging as powerful tools for probing new fundamental physics, including searches for dark matter and gravitational waves. In the frequen...

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This article presents novel insights into atmospheric gravity gradient noise, a significant factor affecting the performance of vertical atom interferometers. Its empirical approach to characterizing this noise and the evaluation of mitigation strategies adds methodological rigor. The implications for site selection and active noise monitoring are highly relevant for advancing experimental physics, particularly in the search for fundamental phenomena like dark matter and gravitational waves.

A quantized anomalous Hall effect above 4.2 K in stacked topological insulator/magnet bilayers

Quantized anomalous Hall effects (QAHEs) occur in remarkable electronic states which possess not only quantized Hall signals but in some cases regions of dissipationless electron transport. The initia...

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The article presents a significant advancement in the understanding and implementation of quantized anomalous Hall effects (QAHE) at higher temperatures, which has been a critical challenge in the field. The novel method of creating TI/magnet bilayers through mechanical assembly rather than traditional deposition techniques suggests strong methodological innovation. The high-temperature observation (up to 10 K) is not only a considerable improvement over previous results, but also opens pathways for practical applications in quantum computing and spintronics. This combination of novelty, robustness, and applicability underlines the article's strong relevance and potential impact.

On the Structure of Black Bounces Sourced by Anisotropic Fluids

The field equations of static, spherically symmetric geometries generated by anisotropic fluids is investigated with the aim of better understanding the relation between the matter and the emergence o...

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This article addresses a highly relevant topic in theoretical physics related to general relativity and exotic matter. The exploration of black bounces using anisotropic fluids presents novel insights into wormhole theories and the nature of spacetime. The methodological rigor in developing analytical expressions enhances its relevance for researchers in the field. The implications for black hole physics are significant, making this a potentially influential work for future research on gravitational structures.

Newly discovered magnetic phase: A brief review on Altermagnets

Recently, a new magnetic phase, termed altermagnetism, has caught the attention of the magnetism and spintronics community. This newly discovered magnetic phenomenon differs from traditional ferromagn...

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The article presents a timely review of altermagnets, a novel magnetic phase that significantly enhances the understanding of magnetism and spintronics. Its methodological rigor is supported by a comprehensive examination of both theoretical and experimental studies, highlighting not only the uniqueness of altermagnets but also their potential applications in advanced technologies. The focus on unusual transport properties and comparisons to traditional magnetic phases enhances its relevance and novel contributions to the field.

Binary and Grouped Open Clusters: A New Catalogue

Context. Understanding the formation and evolution of star clusters in the Milky Way requires precise identification of clusters that form binary or multiple systems. Such systems offer valuable insig...

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This article presents a novel catalogue that identifies and classifies binary and grouped star clusters in the Milky Way, which is crucial for understanding their formation and dynamical evolution. The methodological rigor in using a comprehensive star cluster database and the innovative classification scheme enhance its impact. Furthermore, the results contribute significantly to the existing knowledge of star clusters and their interactions, offering valuable insights for future research in observational astrophysics.

On the essential dimension of symplectic vector bundles over curves

Let $X$ be a smooth geometrically connected projective curve of genus at least 2 over a field of characteristic zero. We compute the essential dimension of the moduli stack of symplectic bundl...

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The paper addresses a significant problem in algebraic geometry by computing the essential dimension for symplectic bundles over curves, which is a topic with implications for understanding the structure and classification of vector bundles. The novelty lies in the precision of the computation that contrasts with established results for vector bundles. The methodology appears rigorous, and its findings could inspire further research on moduli problems and related fields, particularly in cases of higher genus curves.