In recent years, there have been several attempts to help visually impaired and illiterate people to overcome their reading limitations through developing different applications. However, most of these applications ar...
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The rapid advancement of technology has given rise to medical cyber-physical systems (MCPS), a subset of cyber-physical systems (CPS) specifically tailored for patient care and healthcare providers. MCPS generate subs...
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This paper first presents an intervalappointed looped-functional approach for the stability of switching event-triggered (SET) control systems with input saturation. In order to improve the resource utilization of the...
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Outer-independent Roman domination on graphs originates from the defensive strategy of Ancient Rome, which is that if any city without an army is attacked, a neighboring city with two armies could mobilize an army to ...
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Outer-independent Roman domination on graphs originates from the defensive strategy of Ancient Rome, which is that if any city without an army is attacked, a neighboring city with two armies could mobilize an army to support it and any two cities that have no army cannot be adjacent. The outer-independent Roman domination on graphs is an attractive topic in graph theory, and the definition is described as follows. Given a graph G =(V, E), a function f : V(G) → {0, 1, 2} is an outer-independent Roman dominating function(OIRDF) if f satisfies that every vertex v ∈ V with f(v) = 0 has at least one adjacent vertex u ∈ N(v) with f(u) = 2,where N(v) is the open neighborhood of v, and the set V0 = {v|f(v) = 0} is an independent set. The weight of an OIRDF f is w(f) =∑v∈Vf(v). The value of minf w(f) is the outerindependent Roman domination number of G, denoted as γoiR(G). This paper is devoted to the study of the outer-independent Roman domination number of the Cartesian product of paths Pn□Pm. With the help of computer, we find some recursive OIRDFs and then we present an upper bound of γoiR(Pn□Pm). Furthermore, we prove the lower bound of γoiR(Pn□Pm)(n ≤ 3)is equal to the upper bound. Hence, we achieve the exact value of γoiR(Pn□Pm) for n ≤ 3 and the upper bound of γoiR(Pn□Pm) for n ≥ 4.
Offensive language detection has received important attention and plays a crucial role in promoting healthy communication on social platforms,as well as promoting the safe deployment of large language *** data is the ...
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Offensive language detection has received important attention and plays a crucial role in promoting healthy communication on social platforms,as well as promoting the safe deployment of large language *** data is the basis for developing detectors;however,the available offense-related dataset in Chinese is severely limited in terms of data scale and coverage when compared to English *** significantly affects the accuracy of Chinese offensive language detectors in practical applications,especially when dealing with hard cases or out-of-domain *** alleviate the limitations posed by available datasets,we introduce AugCOLD(Augmented Chinese Offensive Language Dataset),a large-scale unsupervised dataset containing 1 million samples gathered by data crawling and model ***,we employ a multiteacher distillation framework to enhance detection performance with unsupervised *** is,we build multiple teachers with publicly accessible datasets and use them to assign soft labels to *** soft labels serve as a bridge for knowledge to be distilled from both AugCOLD and multiteacher to the student network,i.e.,the final offensive *** conduct experiments on multiple public test sets and our well-designed hard tests,demonstrating that our proposal can effectively improve the generalization and robustness of the offensive language detector.
The agriculture industry's production and food quality have been impacted by plant leaf diseases in recent years. Hence, it is vital to have a system that can automatically identify and diagnose diseases at an ini...
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Process parameter configuration needs to respond quickly in the customized manufacturing environment. A multi-objective optimization method based on antlion algorithm for product process configuration design is propos...
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Clustering in big data is considered a critical data mining and analysis technique. There are issues with adapting clustering algorithms to large amounts of data and new challenges brought by big data. As the size of ...
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The application of deep learning techniques in the medical field,specifically for Atrial Fibrillation(AFib)detection through Electrocardiogram(ECG)signals,has witnessed significant *** and timely diagnosis increases t...
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The application of deep learning techniques in the medical field,specifically for Atrial Fibrillation(AFib)detection through Electrocardiogram(ECG)signals,has witnessed significant *** and timely diagnosis increases the patient’s chances of ***,issues like overfitting and inconsistent accuracy across datasets remain *** a quest to address these challenges,a study presents two prominent deep learning architectures,ResNet-50 and DenseNet-121,to evaluate their effectiveness in AFib *** aim was to create a robust detection mechanism that consistently performs *** such as loss,accuracy,precision,sensitivity,and Area Under the Curve(AUC)were utilized for *** findings revealed that ResNet-50 surpassed DenseNet-121 in all evaluated *** demonstrated lower loss rate 0.0315 and 0.0305 superior accuracy of 98.77%and 98.88%,precision of 98.78%and 98.89%and sensitivity of 98.76%and 98.86%for training and validation,hinting at its advanced capability for AFib *** insights offer a substantial contribution to the existing literature on deep learning applications for AFib detection from ECG *** comparative performance data assists future researchers in selecting suitable deep-learning architectures for AFib ***,the outcomes of this study are anticipated to stimulate the development of more advanced and efficient ECG-based AFib detection methodologies,for more accurate and early detection of AFib,thereby fostering improved patient care and outcomes.
Commonsense question answering (CQA) task is an effective way to measure the ability of language models to understand commonsense knowledge. The previous research focus on combining pre-trained language models (PLMs) ...
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