wanyu/IteraTeR_v2 huggingface dataset:
Original: 3D mesh segmentation is an important research area in computer graphics, and there is an increasing interest in applying deep learning to this challenging area .
Revised: 3D mesh segmentation is an important research area in computer graphics, and there is an increasing interest in applying deep learning to 3D mesh segmentation .
Edit intent: clarity
Original:  We observe that 1) existing techniques are either slow to train or sensitive to feature resizing and sampling , 2) in the literature there are minimal comparative studies and 3) techniques often suffer from reproducibility issue.
Revised:  We observe that 1) existing feature-based techniques are often slow or sensitive to feature resizing and sampling , 2) in the literature there are minimal comparative studies and 3) techniques often suffer from reproducibility issue.
Edit intent: clarity
Original:  We observe that 1) existing techniques are either slow to train or sensitive to feature resizing and sampling , 2) in the literature there are minimal comparative studies and 3) techniques often suffer from reproducibility issue.
Revised:  We observe that 1) existing techniques are either slow to train or sensitive to feature resizing , 2) in the literature there are minimal comparative studies and 3) techniques often suffer from reproducibility issue.
Edit intent: clarity
Original:  We observe that 1) existing techniques are either slow to train or sensitive to feature resizing and sampling , 2) in the literature there are minimal comparative studies and 3) techniques often suffer from reproducibility issue.
Revised:  We observe that 1) existing techniques are either slow to train or sensitive to feature resizing and sampling , 2) there are minimal comparative studies and 3) techniques often suffer from reproducibility issue.
Edit intent: coherence
Original:  These hinder the research development of supervised segmentation tasks.
Edit intent: coherence
Original:  First, we propose a novel convolutional neural network technique for mesh segmentation , using 1D data and filters, and a multi-branch network for separate training of features of three different scales.
Revised:  First, we propose a novel convolutional neural network (CNN) for mesh segmentation , using 1D data and filters, and a multi-branch network for separate training of features of three different scales.
Edit intent: clarity
Original:  First, we propose a novel convolutional neural network technique for mesh segmentation , using 1D data and filters, and a multi-branch network for separate training of features of three different scales.
Revised:  First, we propose a novel convolutional neural network technique for mesh segmentation . It uses 1D data and filters, and a multi-branch network for separate training of features of three different scales.
Edit intent: coherence
Original:  First, we propose a novel convolutional neural network technique for mesh segmentation , using 1D data and filters, and a multi-branch network for separate training of features of three different scales.
Revised:  First, we propose a novel convolutional neural network technique for mesh segmentation , using 1D data , filters and a multi-branch network for separate training of features of three different scales.
Edit intent: coherence
Original:  First, we propose a novel convolutional neural network technique for mesh segmentation , using 1D data and filters, and a multi-branch network for separate training of features of three different scales.
Revised:  First, we propose a novel convolutional neural network technique for mesh segmentation , using 1D data and filters, and a multi-branch architecture for separate training of features of three different scales.
Edit intent: clarity
Original:  The technique gives better results than the state of the art . Secondly, we provide a comprehensive study and implementations of several deep learning techniques, namely, neural networks (NNs), autoencoders (AEs) and convolutional neural networks (CNNs), which use an architecture of at least two layers deep.
Revised:  The technique gives better results than the state of the art . Secondly, we publicly provide implementations of several deep learning techniques, namely, neural networks (NNs), autoencoders (AEs) and convolutional neural networks (CNNs), which use an architecture of at least two layers deep.
Edit intent: clarity
Original:  The technique gives better results than the state of the art . Secondly, we provide a comprehensive study and implementations of several deep learning techniques, namely, neural networks (NNs), autoencoders (AEs) and convolutional neural networks (CNNs), which use an architecture of at least two layers deep.
Revised:  The technique gives better results than the state of the art . Secondly, we provide a comprehensive study and implementations of several deep learning techniques, namely, neural networks (NNs), autoencoders (AEs) and CNNs, whose architectures are at least two layers deep.
Edit intent: clarity
Original:  The significance of the study is that it  offers a novel fast and accurate CNN technique, and a comparison of several other deep learning techniques for  comparison.
Revised:  The significance of this study is that it offers a novel fast and accurate CNN technique, and a comparison of several other deep learning techniques for comparison.
Edit intent: fluency
Original:  The significance of the study is that it  offers a novel fast and accurate CNN technique, and a comparison of several other deep learning techniques for  comparison.
Revised:  The significance of the study is that it offers a novel and accurate CNN technique, and a comparison of several other deep learning techniques for comparison.
Edit intent: clarity
Original:  The significance of the study is that it  offers a novel fast and accurate CNN technique, and a comparison of several other deep learning techniques for  comparison.
Revised:  The significance of the study is that it offers a novel fast and accurate CNN technique, and a comprehensive study of several deep learning techniques for comparison.
Edit intent: clarity
Original:  The implementation has been accomplished using the second-order finite volume method with support for unstructured meshes of general topology within OpenFOAM . We examine  suitable corrections for the finite volume discretisation of a consistent single-field model, where both accurate and bounded transport due to diffusion and advection is crucial.
Revised:  The implementation has been accomplished using a second-order finite volume method with support for unstructured meshes of general topology within OpenFOAM . We examine suitable corrections for the finite volume discretisation of a consistent single-field model, where both accurate and bounded transport due to diffusion and advection is crucial.
Edit intent: fluency
Original:  The implementation has been accomplished using the second-order finite volume method with support for unstructured meshes of general topology within OpenFOAM . We examine  suitable corrections for the finite volume discretisation of a consistent single-field model, where both accurate and bounded transport due to diffusion and advection is crucial.
Revised:  The implementation has been accomplished using the second-order finite volume method with support for unstructured meshes of general topology . We examine suitable corrections for the finite volume discretisation of a consistent single-field model, where both accurate and bounded transport due to diffusion and advection is crucial.
Edit intent: clarity
Original:  The implementation has been accomplished using the second-order finite volume method with support for unstructured meshes of general topology within OpenFOAM . We examine  suitable corrections for the finite volume discretisation of a consistent single-field model, where both accurate and bounded transport due to diffusion and advection is crucial.
Revised:  The implementation has been accomplished using the second-order finite volume method with support for unstructured meshes of general topology within OpenFOAM . We examine and advance suitable corrections for the finite volume discretisation of a consistent single-field model, where both accurate and bounded transport due to diffusion and advection is crucial.
Edit intent: clarity
Original:  In order to ensure consistency of both the volume fraction and the species concentration transport, i.e. to disallow artificial heat or species transfer, corrections are studied for both cases.
Revised:  In order to ensure consistency of both the volume fraction and the species concentration transport, i.e. to avoid artificial heat or species transfer, corrections are studied for both cases.
Edit intent: clarity
Original:  The cross interfacial jump and  sharp gradients of species concentration render the correction for skewness-induced diffusion and advection errors additionally demanding and has not so far been addressed in the literature.
Revised:  The cross interfacial jump and adjacent sharp gradients of species concentration render the correction for skewness-induced diffusion and advection errors additionally demanding and has not so far been addressed in the literature.
Edit intent: fluency
Original:  Tropical polynomials play an important role in this, especially for the case of algebraic geometry.
Revised:  Tropical polynomials play a fundamental role in this, especially for the case of algebraic geometry.
Edit intent: clarity
Original:   In this paper we extensively study these three questions for tropical polynomials and provide results analogous to the classical results mentioned above .
Revised:  In this paper we extensively study these three questions for tropical polynomials .
Edit intent: clarity
Original:  2. A more precise question, given a polynomial with a certain support and a (finite) set of inputs, how many roots can  polynomial have on this set of inputs?
Revised:  2. A more precise question, given a polynomial with a certain support and a (finite) set of inputs, how many roots can this polynomial have on this set of inputs?
Edit intent: fluency
Original:  4. How many integer roots can have a one variable polynomial given by an tropical algebraic circuit?
Revised:  4. How many integer roots can have a one variable polynomial given by a tropical algebraic circuit?
Edit intent: fluency
Original:  The known lower bound, due to Elekes 2 , is C _{SzTr} \ge 2^{-2/3} = 0.63.
Revised:  The known lower bound, due to Elekes , is C _{SzTr} \ge 2^{-2/3} = 0.63.
Edit intent: clarity
Original:  The known lower bound, due to Elekes 2 , is C _{SzTr} \ge 2^{-2/3} = 0.63.
Revised:  The known lower bound, due to Elekes 2 , is c _{SzTr} \ge 2^{-2/3} = 0.63.
Edit intent: fluency
Original: Our current understanding of neuroplasticity paints a picture of a complex interconnected system of dependent processes , which shape cortical structure so as to produce an efficient information processing system.
Revised: Our current understanding of neuroplasticity paints a picture of a complex interconnected system of dependent processes which shape cortical structure so as to produce an efficient information processing system.
Edit intent: fluency
Original:  Until such a model exists that can successfully combine these mechanisms to form a stable circuits with realistic features, our ability to study neuroplasticity in the context of (more realistic) dynamic networks and potentially reap whatever rewards these features and mechanisms imbue biological networks with is hindered.
Revised:  Until such a model exists that can successfully combine these mechanisms to form a stable circuit with realistic features, our ability to study neuroplasticity in the context of (more realistic) dynamic networks and potentially reap whatever rewards these features and mechanisms imbue biological networks with is hindered.
Edit intent: fluency
Original:  The MANA (metaplastic artificial neural architecture) represents the first model of its kind in that it is able to self-organize realistic, nonrandom features of cortical networks, from a null initial state (no synaptic connectivity or neuronal differentiation) with no hand-tuning of relevant variables .
Revised:  The MANA (metaplastic artificial neural architecture) represents the first model of its kind in that it is able to self-organize realistic, nonrandom features of cortical networks, from a null initial state (no synaptic connectivity or neuronal differentiation) .
Edit intent: clarity
Original:  A large fraction (~40\%) of firms with relatively small in- or out-degrees have customers or suppliers solely from within their own communities, indicating interactions with a highly local nature.
Revised:  A large fraction (~40\%) of firms with relatively small in- or out-degrees have customers or suppliers solely from within their own communities, indicating interactions of a highly local nature.
Edit intent: fluency
Original:  The interaction strengths between communities as measured by the inter-community link weights exhibit a highly heterogeneous distribution.
Revised:  The interaction strengths between communities as measured by the inter-community link weights follow a highly heterogeneous distribution.
Edit intent: clarity
Original: We propose an integer approximation of Echo State Networks (ESN)  based on the mathematics of hyperdimensional computing.
Revised: We propose an approximation of Echo State Networks (ESN) based on the mathematics of hyperdimensional computing.
Edit intent: clarity
Original:  The reservoir of the proposed Integer Echo State Network (intESN) is a vector containing only n-bits integers (where n<8 is normally sufficient for a satisfactory performance).
Revised:  The reservoir of the proposed integer Echo State Network (intESN) is a vector containing only n-bits integers (where n<8 is normally sufficient for a satisfactory performance).
Edit intent: fluency
Original:  The intESN architecture is verified with typical tasks in reservoir computing: memorizing of a sequence of inputs;
Revised:  The proposed intESN approach is verified with typical tasks in reservoir computing: memorizing of a sequence of inputs;
Edit intent: clarity
Original:  Such an architecture results in dramatic improvements in memory footprint and computational efficiency, with minimal performance loss  .
Revised:  Such architecture results in dramatic improvements in memory footprint and computational efficiency, with minimal performance loss .
Edit intent: clarity
Original:  To investigate how this paradox can be overcome, we argue that  future electricity prices can be accurately modeled from the residual load obtained by subtracting the sum of inflexible productions from the load.
Revised:  To investigate how this paradox can be overcome, we argue that future electricity prices are rather accurately modeled from the residual load obtained by subtracting the sum of inflexible productions from the load.
Edit intent: clarity
Original:  To investigate how this paradox can be overcome, we argue that  future electricity prices can be accurately modeled from the residual load obtained by subtracting the sum of inflexible productions from the load.
Revised:  To investigate how this paradox can be overcome, we argue that future electricity prices can be accurately modeled from the residual load obtained by subtracting non-flexible productions from the load.
Edit intent: clarity
Original:  Armed with the resulting quantitative economic indicator, we investigate future revenues for  power plants with various degree of flexibility under different scenarios for the energy transition in the European power grid .
Revised:  Armed with the resulting economic indicator, we investigate future revenues for power plants with various degree of flexibility under different scenarios for the energy transition in the European power grid .
Edit intent: clarity
Original:  Armed with the resulting quantitative economic indicator, we investigate future revenues for  power plants with various degree of flexibility under different scenarios for the energy transition in the European power grid .
Revised:  Armed with the resulting quantitative economic indicator, we investigate future revenues for European power plants with various degree of flexibility under different scenarios for the energy transition in the European power grid .
Edit intent: fluency
Original:  Armed with the resulting quantitative economic indicator, we investigate future revenues for  power plants with various degree of flexibility under different scenarios for the energy transition in the European power grid .
Revised:  Armed with the resulting quantitative economic indicator, we investigate future revenues for power plants with various degree of flexibility .
Edit intent: clarity
Original:  Less flexible productions, on the other hand, will see their revenue grow more moderately.
Revised:  Less flexible productions, on the other hand, would see their revenue grow more moderately.
Edit intent: fluency
Original:  Our results advocate for a faster energy transition with a quicker withdrawal of baseload thermal power plants  .
Revised:  Our results indicate that a faster energy transition with a quicker withdrawal of baseload thermal power plants .
Edit intent: clarity
Original:  Our results advocate for a faster energy transition with a quicker withdrawal of baseload thermal power plants  .
Revised:  Our results advocate for a faster energy transition with a quicker withdrawal of thermal power plants .
Edit intent: clarity
Original: We show that computing first-passage time distributions for stochastic processes is equivalent to a sequential Bayesian inference problem for an auxiliary observation process.
Revised: We consider the problem of computing first-passage time distributions for stochastic processes is equivalent to a sequential Bayesian inference problem for an auxiliary observation process.
Edit intent: clarity
Original:  We apply it to an epidemic model , an entrained oscillator and a trimerisation process, and show good agreement with exact stochastic simulations.
Revised:  We apply it to an epidemic model and a trimerisation process, and show good agreement with exact stochastic simulations.
Edit intent: clarity
Original:  We apply it to an epidemic model , an entrained oscillator and a trimerisation process, and show good agreement with exact stochastic simulations.
Revised:  We apply it to an epidemic model , an entrained oscillator and a trimerisation process, and show good agreement with stochastic simulations.
Edit intent: clarity
Original: A central problem of algebraic topology is to understand the \emph{homotopy groups \pi_d(X) of a topological space X.
Revised: A central problem of algebraic topology is to understand the \emph{homotopy groups \pi_d(X) of a topological space X.
Edit intent: fluency
Original:  For the computational version of the problem, it is well known that there is no algorithm to decide whether the fundamental group \pi_1(X) of a given finite simplicial complex X is trivial.
Revised:  For the computational version of the problem, it is well known that there is no algorithm to decide whether the fundamental group \pi_1(X) of a given finite simplicial complex X is trivial.
Edit intent: fluency
Original: In this paper, we develop a distributed intermittent communication and task planning framework for teams of mobile robots .
Revised: In this paper, we develop a decentralized intermittent communication and task planning framework for teams of mobile robots .
Edit intent: clarity
Original: In this paper, we develop a distributed intermittent communication and task planning framework for teams of mobile robots .
Revised: In this paper, we develop a distributed intermittent communication and task planning framework for mobile robot teams .
Edit intent: clarity
Original:  Our distributed control framework jointly determines local plans that allow all robots fulfill their assigned temporal tasks, sequences of communication events that guarantee information exchange infinitely often, and optimal communication locations that minimize the total distance traveled by the robots . Simulation and experimental results verify the efficacy of the proposed distributed controllers.
Revised:  Our decentralized control framework jointly determines local plans that allow all robots fulfill their assigned temporal tasks, sequences of communication events that guarantee information exchange infinitely often, and optimal communication locations that minimize the total distance traveled by the robots . Simulation and experimental results verify the efficacy of the proposed distributed controllers.
Edit intent: fluency
Original:  Our distributed control framework jointly determines local plans that allow all robots fulfill their assigned temporal tasks, sequences of communication events that guarantee information exchange infinitely often, and optimal communication locations that minimize the total distance traveled by the robots . Simulation and experimental results verify the efficacy of the proposed distributed controllers.
Revised:  Our distributed control framework jointly determines local plans that allow all robots fulfill their assigned temporal tasks, sequences of communication events that guarantee information exchange infinitely often, and optimal communication locations that minimize the total distance traveled by the robots . Simulation and experimental results verify the efficacy of the proposed controllers.
Edit intent: fluency
Original: In this paper, we develop a decentralized intermittent communication and task planning framework for mobile robot teams.
Revised: In this paper, we develop a distributed intermittent communication and task planning framework for mobile robot teams.
Edit intent: clarity
Original:  Our decentralized control framework jointly determines local plans that allow all robots fulfill their assigned temporal tasks, sequences of communication events that guarantee information exchange infinitely often, and optimal communication locations that minimize a user-specified metric.
Revised:  Our distributed control framework jointly determines local plans that allow all robots fulfill their assigned temporal tasks, sequences of communication events that guarantee information exchange infinitely often, and optimal communication locations that minimize a user-specified metric.
Edit intent: fluency
Original:  Simulation and experimental results verify the efficacy of the proposed controllers.
Revised:  Simulation results verify the efficacy of the proposed controllers.
Edit intent: clarity
Original:  We propose a description of the data set features that can be used as ground truth for different applications such as result ranking improvement, user modeling, query reformulation analysis, search pattern recognition.
Revised:  We propose a description of the data set features that can be used in different applications such as result ranking improvement, user modeling, query reformulation analysis, search pattern recognition.
Edit intent: clarity
Original:  In line with the well-established idea that sensory processing is adapted to the statistics of the natural environment, the GSM has also been considered a model of the early visual system, as a reasonable "first-order" approximation to the internal model that the primary visual cortex (V1) inverts .
Revised:  In line with the well-established idea that sensory processing is adapted to the statistics of the natural environment, the GSM has also been considered a model of the early visual system, as a reasonable "first-order" approximation of the internal model that the primary visual cortex (V1) inverts .
Edit intent: fluency