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Computer Science
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Article
Large-scale response-aware online ANN search in dynamic datasets
Similarity search is a key operation in content-based multimedia retrieval (CBMR) applications. Online CBMR applications, which are the focus of this work, perform a large number of search operations on dynami...
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Spatial de-correlation of generated keys from wireless channels using adversarial deep learning
Physical-layer Key Generation (PKG) is the major candidate for use in secure wireless communications and Internet of Things (IoT) systems. Using Deep Learning (DL) and the Band Feature Map** (BFM) method lea...
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Open AccessLearning de-biased regression trees and forests from complex samples
Regression trees and forests are widely used due to their flexibility and predictive accuracy. Whereas typical tree induction assumes independently identically distributed (i.i.d.) data, in many applications t...
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Accessibility landmarks identification in web applications based on DOM elements classification
Landmarks are defined in the ARIA—Accessible Rich Internet Applications specification, and are important regions of web applications that blind users access through keyboard shortcuts. However, ARIA landmarks ...
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Guiding image inpainting via structure and texture features with dual encoder
Image inpainting techniques have made rapid progresses in recent years. Recent advancements focus mainly on generating realistic and semantically plausible structure and texture features in missing regions. Ho...
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Open AccessValues and Value Conflicts in the Context of OSINT Technologies for Cybersecurity Incident Response: A Value Sensitive Design Perspective
The negotiation of stakeholder values as a collaborative process throughout technology development has been studied extensively within the fields of Computer Supported Cooperative Work and Human-Computer Inter...
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Open AccessTwo-dimensional materials for future information technology: status and prospects
Over the past 70 years, the semiconductor industry has undergone transformative changes, largely driven by the miniaturization of devices and the integration of innovative structures and materials. Two-dimensi...
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Beamforming design for covert broadcast communication with hidden adversary
This paper explores covert broadcast communication in a challenging situation in which the transmitter, Alice, faces uncertainty regarding the position of the passive adversary, Willie. In this situation, cont...
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AAPF*: a safer autonomous vehicle path planning algorithm based on the improved A* algorithm and APF algorithm
In this paper, we introduce the AAPF* algorithm, an innovative approach that synergistically integrates the A-star search algorithm (A*) with the artificial potential field (APF) method. This algorithm is desi...
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Open AccessA Novel Multi-camera Fusion Approach at Plant Scale: From 2D to 3D
Non-invasive crop phenoty** is essential for crop modeling, which relies on image processing techniques. This research presents a plant-scale vision system that can acquire multispectral plant data in agricu...
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Open AccessDeep learning implementation of image segmentation in agricultural applications: a comprehensive review
Image segmentation is a crucial task in computer vision, which divides a digital image into multiple segments and objects. In agriculture, image segmentation is extensively used for crop and soil monitoring, p...
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Improving robot-to-human communication using flexible display technology as a robotic-skin-interface: a co-design study
In the evolving field of industrial automation, operator awareness of robot actions and intentions is critical for safety and efficiency, especially when working in close proximity to robots. From the robot-to...
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Open AccessAnalysis and design framework for the development of indoor scene understanding assistive solutions for the person with visual impairment/blindness
This paper discusses the challenges of the current state of computer vision-based indoor scene understanding assistive solutions for the person with visual impairment (P-VI)/blindness. It focuses on two main i...
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Open AccessA bizarre synthesized cascaded optimized predictor (BizSCOP) model for enhancing security in cloud systems
Due to growing network data dissemination in cloud, the elasticity, pay as you go options, globally accessible facilities, and security of networks have become increasingly important in today's world. Cloud se...
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An improved metacognitive competency framework to inculcate analytical thinking among university students
Enhancing students' analytical thinking skills holds great promise for bolstering a nation's economic growth, fostering a dynamic learning culture, and nurturing human capital development. It is especially cri...
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Real-time segmentation algorithm of unstructured road scenes based on improved BiSeNet
In response to the fuzzy and complex boundaries of unstructured road scenes, as well as the high difficulty of segmentation, this paper uses BiSeNet as the benchmark model to improve the above situation and pr...
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Article
ARIR: an intent recognition-based approach for API recommendation
With the prevalence of service composition, how to recommend API services that meet the Mashup requirements for developers has become a challenging in the field of service computing. Existing works on Web serv...
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Open AccessCoMadOut—a robust outlier detection algorithm based on CoMAD
Unsupervised learning methods are well established in the area of anomaly detection and achieve state of the art performances on outlier datasets. Outliers play a significant role, since they bear the potentia...
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Open AccessA global scale comparison of risk aggregation in AI assessment frameworks
AI applications bear inherent risks in various risk dimensions, such as insufficient reliability, robustness, fairness or data protection. It is well-known that trade-offs between these dimensions can arise, f...
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Masked self-supervised ECG representation learning via multiview information bottleneck
In recent years, self-supervised learning-based models have been widely used for electrocardiogram (ECG) representation learning. However, most of the models utilize contrastive learning that strongly depend o...
