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Enhancing racism classification: an automatic multilingual data annotation system using self-training and CNN
Accurate racism classification is crucial on social media, where racist and discriminatory content can harm individuals and society. Automated racism...
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The impact of supply chain digitalization on supply chain performance: a moderated mediation model
Despite extensive attention that researchers and practitioners have paid to supply chain digitalization, our understanding of how to leverage supply...
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Assessing the cooling impact of the urban park during pre- and post-cyclone using Landsat images
Cities are far warmer than their surroundings. Using vegetation is one of the best techniques to mitigate the effects of urban heat islands (UHI)....
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Examining ALS: reformed PCA and random forest for effective detection of ALS
ALS (Amyotrophic Lateral Sclerosis) is a fatal neurodegenerative disease of the human motor system. It is a group of progressive diseases that...
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TOPCOAT: towards practical two-party Crystals-Dilithium
The development of threshold protocols based on lattice-signature schemes has been of increasing interest in the past several years. The main...
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Explainable decomposition of nested dense subgraphs
Discovering dense regions in a graph is a popular tool for analyzing graphs. While useful, analyzing such decompositions may be difficult without...
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MIM: A multiple integration model for intrusion detection on imbalanced samples
The quantity of normal samples is commonly significantly greater than that of malicious samples, resulting in an imbalance in network security data....
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FlexpushdownDB: rethinking computation pushdown for cloud OLAP DBMSs
Modern cloud-native OLAP databases adopt a storage-disaggregation architecture that separates the management of computation and storage. A major...
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Data reduction in big data: a survey of methods, challenges and future directions
Data reduction plays a pivotal role in managing and analyzing big data, which is characterized by its volume, velocity, variety, veracity, value,...
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Multi-task learning and mutual information maximization with crossmodal transformer for multimodal sentiment analysis
The effectiveness of multimodal sentiment analysis hinges on the seamless integration of information from diverse modalities, where the quality of...
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Unveiling the impact of employee-customer familiarity on customer purchase intentions: an empirical investigation within the realm of web-based date analytics
This research delves into the intricate dynamics of employee-customer familiarity and its profound influence on customer purchase intentions within...
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Emotion AWARE: an artificial intelligence framework for adaptable, robust, explainable, and multi-granular emotion analysis
Emotions are fundamental to human behaviour. How we feel, individually and collectively, determines how humanity evolves and advances into our shared...
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Malicious node detection in wireless sensor network using modified sandpiper optimization algorithm
The most crucial thing about the Wireless Sensor Network (WSN) application is the validation of dangerous as well as remote sensing fields, which are...
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Adaptive connected hybrid beamforming for energy efficiency maximization in multi-user millimeter wave systems
Energy efficiency (EE) is a key enabler for sustainable green millimeter wave (mmWave) communication. However, conventional hybrid beamforming...
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RefCit2vec: embedding models considering references and citations for measuring document similarity
This study outlines the intellectual structure of Library and Information Science in terms of the venues with RefCit2vec, an embedding method...
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Real-Time Tracking of Basketball Trajectory Based on the Associative MCMC Model
In basketball videos, the trajectories of a basketball changes rapidly. Since the visual features changes in a more homogeneous region, the frame...
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A Meta-learner approach to multistep-ahead time series prediction
The utilization of machine learning has become ubiquitous in addressing contemporary challenges in data science. Moreover, there has been significant...
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iDOCEM
In the business process lifecycle, models can be approached from two perspectives: on the one hand, models are used to create systems in the design...
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Remote radio frequency unit selection of self-sustaining distributed base-station system based on downlink physical layer secure transmission
In the energy harvesting self-sustaining distributed base-station system (SS-DBS), the problem of optimal resource allocation for secure transmission...
