1.3k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of Arkansas at FayettevilleUS17 papers
- University of DelawareUS16 papers
- U.S. National Science FoundationUS15 papers
- Iowa State UniversityUS13 papers
- Purdue University West LafayetteUS12 papers
- Center for Astrophysics Harvard & SmithsonianUS11 papers
- Michigan State UniversityUS11 papers
- Division of Mathematical SciencesUS10 papers
- University of California, Los AngelesUS10 papers
- Washington University in St. LouisUS10 papers
- DePauw UniversityUS9 papers
- Galway-Mayo Institute of TechnologyIE9 papers
126 papers
Distilled Rapid Embedding Transfer (DRET): Parameter-Efficient Biomedical Domain Adaptation via Priority-Based Embedding Transfer
Girish Sundaram, Daniel Berleant
Large domain-specific language models such as BioBERT and ClinicalBERT achieve strong performance on biomedical NLP tasks, but their computational demands make them impractical for…
Reimagining Peer Review Process Through Multi-Agent Mechanism Design
Ahmad Farooq, Kamran Iqbal
The software engineering research community faces a systemic crisis: peer review is failing under growing submissions, misaligned incentives, and reviewer fatigue. Community survey…
Trend Extrapolation for Technology Forecasting: Leveraging LSTM Neural Networks for Trend Analysis of Space Exploration Vessels
Peng-Hung Tsai, Daniel Berleant
Forecasting technological advancement in complex domains such as space exploration presents significant challenges due to the intricate interaction of technical, economic, and poli…
Integrating Vision Foundation Models with Reinforcement Learning for Enhanced Object Interaction
Ahmad Farooq, Kamran Iqbal
This paper presents a novel approach that integrates vision foundation models with reinforcement learning to enhance object interaction capabilities in simulated environments. By c…
A Survey of Reinforcement Learning for Optimization in Automation
Ahmad Farooq, Kamran Iqbal
Reinforcement Learning (RL) has become a critical tool for optimization challenges within automation, leading to significant advancements in several areas. This review article exam…
Abstractive Text Summarization: State of the Art, Challenges, and Improvements
Hassan Shakil, Ahmad Farooq, Jugal Kalita
Specifically focusing on the landscape of abstractive text summarization, as opposed to extractive techniques, this survey presents a comprehensive overview, delving into state-of-…
Decoding AI and Human Authorship: Nuances Revealed Through NLP and Statistical Analysis
Mayowa Akinwande, Oluwaseyi Adeliyi, Toyyibat Yussuph
This research explores the nuanced differences in texts produced by AI and those written by humans, aiming to elucidate how language is expressed differently by AI and humans. Thro…
Modelling the dynamics of online food delivery services on the spread of food-borne diseases
Emmanuel Addai, Delfim F. M. Torres, Zalia Abdul-Hamid +2
We propose and analyze a deterministic mathematical model for the transmission of food-borne diseases in a population consisting of humans and flies. We employ the Caputo operator…
A generation theorem for the perturbation of strongly continuous semigroups by unbounded operators
Xuan-Quang Bui, Nguyen Duc Huy, Vu Trong Luong +1
In this paper we study the well-posedness of the evolution equation of the form , , where is the generator of a - semigroup and is a (possib…
Quantitative Technology Forecasting: a Review of Trend Extrapolation Methods
Peng-Hung Tsai, Daniel Berleant, Richard S. Segall +4
Quantitative technology forecasting uses quantitative methods to understand and project technological changes. It is a broad field encompassing many different techniques and has be…
ASI: Accuracy-Stability Index for Evaluating Deep Learning Models
Wei Dai, Daniel Berleant
In the context of deep learning research, where model introductions continually occur, the need for effective and efficient evaluation remains paramount. Existing methods often emp…
On asymptotic periodic solutions of fractional differential equations and applications
Vu Trong Luong, Nguyen Duc Huy, Nguyen Van Minh +1
In this paper we study the asymptotic behavior of solutions of fractional differential equations of the form where is th…
Discrete-Event Simulation in Healthcare Settings: a Review
John J. Forbus, Daniel Berleant
We review and define the current state of the art as relating to discrete event simulation in healthcare-related systems. A review of published literature over the past five years…
Discovering Limitations of Image Quality Assessments with Noised Deep Learning Image Sets
Wei Dai, Daniel Berleant
Image quality is important, and can affect overall performance in image processing and computer vision as well as for numerous other reasons. Image quality assessment (IQA) is cons…
A Posteriori Estimates of Taylor-Hood Element for Stokes Problem Using Auxiliary Subspace Techniques
Jiachuan Zhang, Ran Zhang, Xiaoshen Wang
Based on the auxiliary subspace techniques, a hierarchical basis a posteriori error estimator is proposed for the Stokes problem in two and three dimensions. For the error estimato…
A Proposed Lean Distribution System for Solar Power Plants Using Mathematical Modeling and Simulation Technique
Mohsen Momenitabar, Zhila Dehdari Ebrahimi, Seyed Hassan Hosseini +1
Today, power waste is one of the most crucial problems which power stations across the world are facing. One of the recent trends of the energy system is the lean management techni…
Weakly-Supervised Cross-Domain Adaptation for Endoscopic Lesions Segmentation
Jiahua Dong, Yang Cong, Gan Sun +3
Weakly-supervised learning has attracted growing research attention on medical lesions segmentation due to significant saving in pixel-level annotation cost. However, 1) most exist…
A stabilizer free, pressure robust, and superconvergence weak Galerkin finite element method for the Stokes Equations on polytopal mesh
Lin Mu, Xiu Ye, Shangyou Zhang
In this paper, we propose a new stabilizer free and pressure robust WG method for the Stokes equations with super-convergence on polytopal mesh in the primary velocity-pressure for…
Multi-Objective Optimization for Sustainable Closed-Loop Supply Chain Network Under Demand Uncertainty: A Genetic Algorithm
Ahmad Sobhan Abir, Ishtiaq Ahmed Bhuiyan, Mohammad Arani +1
Supply chain management has been concentrated on productive ways to manage flows through a sophisticated vendor, manufacturer, and consumer networks for decades. Recently, energy a…
A polynomial lifting operator on polygons and polyhedrons
Xiu Ye, Shangyou Zhang
A polynomial lifting operator is defined on polygons and polyhedrons. It lifts discontinuous polynomials inside the polygon/polyhedron and on the faces to a one-piece $P_…
A stabilizer free WG Method for the Stokes Equations with order two superconvergence on polytopal mesh
Xiu Ye, Shangyou Zhang
A stabilizer free WG method is introduced for the Stokes equations with superconvergence on polytopal mesh in primary velocity-pressure formulation. Convergence rates two order hig…
A stabilizer free weak Galerkin finite element method on polytopal mesh: Part II
Xiu Ye, Shangyou Zhang
A stabilizer free weak Galerkin (WG) finite element method on polytopal mesh has been introduced in Part I of this paper (J. Comput. Appl. Math, 371 (2020) 112699. arXiv:1906.06634…
CSCL: Critical Semantic-Consistent Learning for Unsupervised Domain Adaptation
Jiahua Dong, Yang Cong, Gan Sun +2
Unsupervised domain adaptation without consuming annotation process for unlabeled target data attracts appealing interests in semantic segmentation. However, 1) existing methods ne…
A conforming discontinuous Galerkin finite element method for the Stokes problem on polytopal meshes
Xiu Ye, Shangyou Zhang
A new discontinuous Galerkin finite element method for the Stokes equations is developed in the primary velocity-pressure formulation. This method employs discontinuous polynomials…