Prediction of toxicity is a great challenge over the years. The development of a new drug or chemical compound is quite an expensive and complex process. Artificial intelligence and machine learning techniques give ne...
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We study the Boolean Satisfiability problem (SAT) in the framework of diversity, where one asks for multiple solutions that are mutually far apart (i.e., sufficiently dissimilar from each other) for a suitable notion ...
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Social media has emerged as one of the most transformative developments on the internet,revolu-tionizing the way people communicate and ***,alongside its benefits,social media has also given rise to significant challe...
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Social media has emerged as one of the most transformative developments on the internet,revolu-tionizing the way people communicate and ***,alongside its benefits,social media has also given rise to significant challenges,one of the most pressing being *** issue has become a major concern in modern society,particularly due to its profound negative impacts on the mental health and well-being of its *** the Arab world,where social media usage is exceptionblly high,cyberbullying has become increasingly prevalent,necessitating urgent *** detection of harmful online behavior is critical to fostering safer digital environments and mitigating the adverse efcts of *** underscores the importance of developing advanced tools and systems to identify and address such behavior *** paper investigates the development of a robust cyberbullying detection and classifcation system tailored for Arabic comments on *** study explores the efectiveness of various deep learning models,including Bi-LSTM(Bidirectional Long Short Term Memory),LSTM(Long Short-Term Memory),CNN(Convolutional Neural Networks),and a hybrid CNN-LSTM,in classifying Arabic comments into binary classes(bullying or not)and multiclass categories.A comprehensive dataset of 20,000 Arabic YouTube comments was collected,preprocessed,and labeled to support these *** results revealed that the CNN and hybrid CNN-LSTM models achieved the highest accuracy in binary classification,reaching an impressive 91.9%.For multiclass dlassification,the LSTM and Bi-LSTM models outperformed others,achieving an accuracy of 89.5%.These findings highlight the efctiveness of deep learning approaches in the mitigation of cyberbullying within Arabic online communities.
Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition with varied symptoms affecting social communication, behavior, and sensory processing. Diagnosing ASD in children requires a thorough assessment...
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ISBN:
(数字)9798331532833
ISBN:
(纸本)9798331532840
Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition with varied symptoms affecting social communication, behavior, and sensory processing. Diagnosing ASD in children requires a thorough assessment of their behaviors, making it a nuanced process. This study explores the use of machine learning (ML) algorithms—logistic regression, decision tree, Naïve Bayes, support vector machine, and random forests—to streamline ASD diagnosis in children. Utilizing a modified Privacy-Preserving Aggregation of Teacher Ensembles (PATE) Framework, it combines small datasets from multiple practitioners and various ML approaches while preserving data privacy through encryption. Our results show that the PATE approach enhances the sensitivity, specificity, and accuracy of ASD diagnosis in children, compared to individual methods, while ensuring data privacy. This study advances collaborative predictive modeling in psychology, helping practitioners with small datasets work together effectively.
The purpose of this study is to clarify how meteorological conditions affect tourist flows as well as tastes by exploring the complex interaction among weather trends and tourist dynamics across different regions of I...
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Multispectral and hyperspectral images are increasingly popular in different research fields, such as remote sensing, astronomical imaging, or precision agriculture. However, the amount of free data available to perfo...
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A well-known method, namely the backstepping method, which is used for stabilizing systems of ordinary differential equations is applied in this paper to solve the system of Lotka-Volterra prey-predator with time dela...
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A fundamental domain F⊂H2 for the Hilbert modular group belonging to the quadratic number field Q(5) was constructed by Götzky almost a hundred years ago. He also gave a lower bound for the height y1y2 of the poi...
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Graph contrastive learning (GCL) has been widely applied to text classification tasks due to its ability to generate self-supervised signals from unlabeled data, thus facilitating model training. However, existing GCL...
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Nowadays, The Internet of Things(IoT) has shown an increased interest in the academic literature, while its implementations became involved in almost every aspect of life in modern society. IoT is the integration of v...
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