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The effectiveness of children’s English enlightenment network teaching based on multi-modal teaching model
To enhance the efficacy of traditional English enlightenment education for children, this research delves into a multi-modal teaching approach and...
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An ant colony path planning optimization based on opposition-based learning for AUV in irregular regions
Aiming at the problems of incomplete path coverage and path redundancy in Autonomous Underwater Vehicle (AUV) path planning, an Ant Colony Path...
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Shifted window-based Transformer with multimodal representation for the systematic staging of rectal cancer
Systematic staging of rectal cancer aims to determine tumor invasion degree and lymph node metastasis (LNM) status. Artificial intelligence...
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Interrelationship between bank efficiency and non-performing loans: evidence from Bangladesh
This paper evaluates the interrelationship between bank efficiency and non-performing loans in 34 banks in Bangladesh for the period 2010–2018. The...
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Dynamic service prioritization with predicted intervals for QoS-sensitive service migrations in MEC
Service migrations in Multi-access Edge Compute (MEC) infrastructure are complex due to the geographically distributed infrastructure, limited...
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Detecting and tracking a road-drivable area with three-dimensional point clouds and IoT for autonomous applications
This work presents a Light Detection and Ranging (LiDAR)-based point cloud method for detecting and tracking road edges. Initially, this work...
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Attack and anomaly prediction in networks-on-chip of multiprocessor system-on-chip-based IoT utilizing machine learning approaches
The proliferation of multiprocessor system-on-chip (MPSoC) architectures within the Internet of Things (IoT) has introduced notable security...
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Differentially private federated learning with non-IID data
In Differentially Private Federated Learning (DPFL), gradient clip** and random noise addition disproportionately affect statistically...
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Multi-object extraction technology for complex background based on faster regions-CNN algorithm in the context of artificial intelligence
With the rapid expansion of artificial intelligence technology, the trajectory of future battlefield operations is increasingly guided by...
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Secure privacy-enhanced fast authentication and key management for IoMT-enabled smart healthcare systems
The smart healthcare system advancements have introduced the Internet of Things, enabling technologies to improve the quality of medical services....
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Exploring the impact of chaos engineering with various user loads on cloud native applications: an exploratory empirical study
One of the most popular models that provide computer resources today is cloud computing. Today’s dynamic and successful platforms are created to take...
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On the effectiveness of differential privacy to continuous queries
Location-based services have a wide range of applications; more recent among those include monitoring virus spread and disaster management....
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Deep Hawkes process for high-frequency market making
High-frequency market making is a liquidity-providing trading strategy that simultaneously generates many bids and asks for a security at ultra-low...
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A detailed review of wireless sensor network, jammer, the types, location, detection and countermeasures of jammers
This review article explores jamming attacks, a critical security threat disrupting communication in wireless sensor networks (WSNs). We begin by...
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Semantically realizing discovery and composition for RESTful web services
The processes of service discovery and composition are crucial tasks in application development driven by Web Services. However, with RESTful Web...
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Generalizing truth discovery by incorporating multi-truth features
Truth discovery is the fundamental technique for resolving the conflicts between the information provided by different data sources by detecting the...
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Building an adaptive test model for English reading comprehension in the context of online education
With the ongoing progress of economic globalization, international communication has witnessed a notable surge. Proficiency in English has become...
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Four vector intelligent metaheuristic for data optimization
Swarm intelligence (SI) algorithms represent a class of Artificial Intelligence (AI) optimization metaheuristics used for solving complex...
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Improved optimal foraging algorithm for global optimization
The optimal foraging algorithm (OFA) is a swarm-based algorithm motivated by animal behavioral ecology theory. When solving complex optimization...
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A two-phase method to optimize service composition in cloud manufacturing
Service composition is widely employed in cloud manufacturing. Due to the abundance of similar cloud manufacturing services, the search space for...
