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Failure Simulation Study of Double-Layer Exhaust Manifold for Turbocharged Engine Under LCF & HCF
With the high requirements of turbocharged engine fuel efficiency and high exhaust gas temperature and continuous improvement of emission standards,...
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Optimal Cost Modeling Scheme for Efficient Intra-Prediction Mode in Video Compression
It can be seen that the success rate of the video compression standard H.264 is quite high owing to its wide range of adoption. However, the legacy...
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From LCF to Isabelle/HOL
Interactive theorem provers have developed dramatically over the past four decades, from primitive beginnings to today’s powerful systems. Here, we...
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An Efficient Firewall Application Using Learned Cuckoo Filter
With the development of Software Defined Networking (SDN), the most investigated firewall type is software firewall, running as application on...
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Learning for target-dependent sentiment based on local context-aware embedding
Target-dependent sentiment classification is a fine-grained task of natural language processing to analyze the sentiment polarity of the targets. In...
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Semantics of Propositional Attitudes in Type-Theory of Algorithms
In this paper, I introduce the extended type-theory of acyclic algorithms $${\text...
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Dependency Graph Convolution and POS Tagging Transferring for Aspect-Based Sentiment Classification
Aspect-based sentiment classification (ABSC) task is a fine-grained task in natural language processing, which mainly recognizes the sentiment...
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Survey of the loss function in classification models: Comparative study in healthcare and medicine
The selection of an appropriate classification approach depends heavily on the classification rate, which is the most important factor in achieving...
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Ultra-High Resolution Image Segmentation via Locality-Aware Context Fusion and Alternating Local Enhancement
Ultra-high resolution image segmentation has raised increasing interests in recent years due to its realistic applications. In this paper, we...
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Knowledge-enhanced graph convolutional networks for Arabic aspect sentiment classification
Aspect sentiment classification (ASC) is a sub-task of aspect-based sentiment analysis (ABSA) that aims at identifying the sentiment polarity toward...
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Adaptive active contours driven by the squared Hellinger distance and local correlation features for inhomogeneous image segmentation
Intensity inhomogeneity is an intractable issue that leads to significant challenges for image segmentation. Moreover, inhomogeneous images are very...
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Conflict-Driven Satisfiability for Theory Combination: Lemmas, Modules, and Proofs
Search-based satisfiability procedures try to build a model of the input formula by simultaneously proposing candidate models and deriving new...
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A Local context focus learning model for joint multi-task using syntactic dependency relative distance
Aspect-based sentiment analysis (ABSA) is a significant task in natural language processing. Although many ABSA systems have been proposed, the...
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A Method for Counting Models on Cubic Boolean Formulas
We present an algorithm based on heuristic variable selection for computing the number of models on two conjunctive normal form Boolean formulas...
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Exploiting Adaptive Contextual Masking for Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA) is a fine-grained linguistics problem that entails the extraction of multifaceted aspects, opinions, and...
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Content Delivery Network (CDN) Technology
This chapter focuses on the benefits and operations of advanced content delivery network (CDN) technologies used in OTT and metaverse services....
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On the Current State of Reproducibility and Reporting of Uncertainty for Aspect-Based Sentiment Analysis
For the latter part of the past decade, Aspect-Based Sentiment Analysis has been a field of great interest within Natural Language Processing....
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Using Masked Language Modeling to Enhance BERT-Based Aspect-Based Sentiment Analysis for Affective Token Prediction
Aspect-based sentiment analysis is a challenging yet critical task for recognizing emotions in text, with various applications in social media,...
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Enhancing Medication Event Classification with Syntax Parsing and Adversarial Learning
In this paper, we introduce a method for extracting detailed information from raw medical notes that could help medical providers more easily...
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Is an Object-Centric Video Representation Beneficial for Transfer?
The objective of this work is to learn an object-centric video representation, with the aim of improving transferability to novel tasks, i.e., tasks...