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View article: Enzyme Co-Scientist: Harnessing Large Language Models for Enzyme Kinetic Data Extraction from Literature
Enzyme Co-Scientist: Harnessing Large Language Models for Enzyme Kinetic Data Extraction from Literature Open
The extraction of molecular annotations from scientific literature is critical for advancing data-driven research. However, traditional methods, which primarily rely on human curation, are labor-intensive and error-prone. Here, we present …
View article: Pre-trained Graphformer-based Ranking at Web-scale Search (Extended Abstract)
Pre-trained Graphformer-based Ranking at Web-scale Search (Extended Abstract) Open
Both Transformer and Graph Neural Networks (GNNs) have been employed in the domain of learning to rank (LTR). However, these approaches adhere to two distinct yet complementary problem formulations: ranking score regression based on query-…
View article: V3Det Challenge 2024 on Vast Vocabulary and Open Vocabulary Object Detection: Methods and Results
V3Det Challenge 2024 on Vast Vocabulary and Open Vocabulary Object Detection: Methods and Results Open
Detecting objects in real-world scenes is a complex task due to various challenges, including the vast range of object categories, and potential encounters with previously unknown or unseen objects. The challenges necessitate the developme…
View article: Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective
Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective Open
Given the complexity and lack of transparency in deep neural networks (DNNs), extensive efforts have been made to make these systems more interpretable or explain their behaviors in accessible terms. Unlike most reviews, which focus on alg…
View article: Corrigendum: Transcriptome analyses reveal photosynthesis-related genes involved in photosynthetic regulation under low temperature stress in Lavandula angustifolia Mill.
Corrigendum: Transcriptome analyses reveal photosynthesis-related genes involved in photosynthetic regulation under low temperature stress in Lavandula angustifolia Mill. Open
[This corrects the article DOI: 10.3389/fpls.2023.1268666.].
View article: Transcriptome analyses reveal photosynthesis-related genes involved in photosynthetic regulation under low temperature stress in Lavandula angustifolia Mill.
Transcriptome analyses reveal photosynthesis-related genes involved in photosynthetic regulation under low temperature stress in Lavandula angustifolia Mill. Open
In order to reveal the mechanisms of photosynthetic regulation of Lavandula angustifolia Mill. under low temperature stress, photosynthesis-related genes were screened and the molecular mechanism were analyzed for this species growing in H…
View article: Model Selection for Deep Learning with Gradient Norms: An Empirical Study
Model Selection for Deep Learning with Gradient Norms: An Empirical Study Open
Recent theoretical works [1–3] propose to exploit the loss gradient norm averaged across training samples as a measure of overfitting and generalization performance of DNNs, to investigate the upper bound of generalization error of deep ne…
View article: A Model to Estimate the Lifetime of BESS for the Prosumer Community of Manufacturers with OGS
A Model to Estimate the Lifetime of BESS for the Prosumer Community of Manufacturers with OGS Open
Onsite generation system (OGS) with renewable sources for modern manufacturing plant is considered as a critical alternative energy source for the manufacturers. Prosumer community can be formed by aggregating such manufacturers to achieve…
View article: Joint Manufacturing and Onsite Microgrid System Control Using Markov Decision Process and Neural Network Integrated Reinforcement Learning
Joint Manufacturing and Onsite Microgrid System Control Using Markov Decision Process and Neural Network Integrated Reinforcement Learning Open
Onsite microgrid generation systems with renewable sources are considered a promising complementary energy supply system for manufacturing plant, especially when outage occurs during which the energy supplied from the grid is not available…
View article: A Framework of Integrating Manufacturing Plants in Smart Grid Operation: Manufacturing Flexible Load Identification
A Framework of Integrating Manufacturing Plants in Smart Grid Operation: Manufacturing Flexible Load Identification Open
In the deregulated electricity markets run by Independent System Operator (ISO), a two-settlement (day-ahead and real-time) process is typically used to determine the electricity price to the end-use customers at different buses. In the da…
View article: Early Detection of Disease Using Electronic Health Records and Fisher’s Wishart Discriminant Analysis
Early Detection of Disease Using Electronic Health Records and Fisher’s Wishart Discriminant Analysis Open
Linear Discriminant Analysis (LDA) is a simple and effective technique for pattern classification, while it is also widely-used for early detection of diseases using Electronic Health Records (EHR) data. However, the performance of LDA for…
View article: Energy Consumption Modeling of Stereolithography‐Based Additive Manufacturing Toward Environmental Sustainability
Energy Consumption Modeling of Stereolithography‐Based Additive Manufacturing Toward Environmental Sustainability Open
Summary Additive manufacturing (AM), also referred as three‐dimensional printing or rapid prototyping, has been implemented in various areas as one of the most promising new manufacturing technologies in the past three decades. In addition…
View article: Reward/Penalty Design in Demand Response for Mitigating Overgeneration Considering the Benefits from both Manufacturers and Utility Company
Reward/Penalty Design in Demand Response for Mitigating Overgeneration Considering the Benefits from both Manufacturers and Utility Company Open
The high penetration of renewable sources in electricity grid has led to significant economic, environmental, and societal benefits. However, one major side effect, overgeneration, due to the uncontrollable property of renewable sources ha…
View article: A General Algorithm for Assessing Product Architecture Performance Considering Architecture Extension in Cyber Manufacturing
A General Algorithm for Assessing Product Architecture Performance Considering Architecture Extension in Cyber Manufacturing Open
In modern manufacturing, the product architecture design options are usually restricted to those that can be produced with 100% confidence using those proven technologies to satisfy the existing customer requirement. As a result, the ineff…
View article: Learning Curve Analysis Using Intensive Longitudinal and Cluster-Correlated Data
Learning Curve Analysis Using Intensive Longitudinal and Cluster-Correlated Data Open
Intensive longitudinal and cluster-correlated data (ILCCD) can be generated in any situation where numerical or categorical characteristics of multiple individuals or study units are observed and measured at tens, hundreds, or thousands of…
View article: Design the Capacity of Onsite Generation System with Renewable Sources for Manufacturing Plant
Design the Capacity of Onsite Generation System with Renewable Sources for Manufacturing Plant Open
The utilization of onsite generation system with renewable sources in manufacturing plants plays a critical role in improving the resilience, enhancing the sustainability, and bettering the cost effectiveness for manufacturers. When design…
View article: Application of Neural Network in Shop Floor Quality Control in a Make to Order Business
Application of Neural Network in Shop Floor Quality Control in a Make to Order Business Open
A make to order business has to produce the products that are customized to the customer's current need. The customization can be realized by assembling different standard parts with various 'configurations'. The oil field service industry…
View article: Energy Efficiency Management and Electricity Demand Response for Sustainable Manufacturing Systems
Energy Efficiency Management and Electricity Demand Response for Sustainable Manufacturing Systems Open
This doctoral thesis proposes a framework of implementing customer-side electric energy management for manufacturers towards sustainability. The methods developed can facilitate the technological readiness of manufacturing enterprises for …