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TAI-PRM: trustworthy AI—project risk management framework towards Industry 5.0
Artificial Intelligence (AI) is increasingly being used in manufacturing to automate tasks and process data, leading to what has been termed...
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PRM-KGED: paper recommender model using knowledge graph embedding and deep neural network
During the past decades, several academic paper recommendation systems were introduced in literature aiming to assist users in finding relevant...
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Optimizing the number of branches in a decision forest using association rule metrics
Ensemble methods, such as random forest algorithms, typically outperform single classifiers. However, they often demand substantial storage memory...
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Performance evaluation of vision based path planning for dynamic real-time scenarios of mobile robot
With the wide usage of mobile robots in industries, there is a need for efficient path planning algorithms under dynamic environments. Hence this...
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Towards GPU-Accelerated PRM for Autonomous Navigation
Sampling based planning is an important step for long-range navigation for an autonomous vehicle. This work proposes a GPU-accelerated sampling based...
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Polar radius moment with application for affine invariants
Image moment is an important technique for pattern recognition. But, invariants constructed with high-order moments are sensitive to noise. Only a...
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Optimization of Probabilistic Roadmap Based on Two-Dimensional Static Environment
To address the problems of slow planning speed and too many sharp turns in the planned route, this paper focuses on the optimization of the...
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Towards Recommendations for Knowledge-Graph-Based Requirements Management in Construction: A Report on the EU DigiChecks Project
This paper positions the work of the EU DigiChecks project, presenting its approach and preliminary findings for standardizing and automating the...
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Enhancing P300 Detection in Brain-Computer Interfaces with Interpretable Post-processing of Recurrent Neural Networks
Brain-computer interfaces (BCIs) are innovative systems that allow individuals to communicate with external devices without physical movements. These...
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User-experience oriented POI recommendation with pseudo rating
Point-of-interest (POI) recommendation faces challenges in managing data sparsity and cold-start problems, particularly in terms of personalized...
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Planning and visual-servoing for robotic manipulators in ROS
This article presents a probabilistic road map (PRM) and visual servo control (visual-servoing) based path planning strategy that allows a Motoman...
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Blind image watermarking via psychovisual-based relative modulation in DCT domain with performance optimized by GWO
A psychovisual-based relative modulation (PRM) scheme with performance fine-tuned by the grey wolf optimizer (GWO) is introduced to carry out...
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MACNet: Multi-Attention and Context Network for Polyp Segmentation
Colorectal cancer (CRC) is the third most common cancer worldwide. Colonoscopy is an effective technique for detecting colorectal polyps, which are...
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Two-Phase Semantic Retrieval for Explainable Multi-Hop Question Answering
Explainable Multi-Hop Question Answering (MHQA) requires an ability to reason explicitly across facts to arrive at the answer. The majority of...
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Enhancing UAV navigation with dynamic programming and hybrid probabilistic route map**: an improved dynamic window approach
The Dynamic Window Approach (DWA) is a popular method for Unmanned Aerial Vehicle (UAV) navigation and localization in unknown environments. It...
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Partially Relaxed Masks for Knowledge Transfer Without Forgetting in Continual Learning
The existing research on continual learning (CL) has focused mainly on preventing catastrophic forgetting. In the task-incremental learning setting...
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RLMixer: A Reinforcement Learning Approach for Integrated Ranking with Contrastive User Preference Modeling
There is a strong need for industrial recommender systems to output an integrated ranking of items from different categories, such as video and news,...
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QCBA: improving rule classifiers learned from quantitative data by recovering information lost by discretisation
A prediscretisation of numerical attributes which is required by some rule learning algorithms is a source of inefficiencies. This paper describes...
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Towards a Process Reference Model for Clinical Coding
Coding of medical data is a very important previous step for many activities in Health Care management, since it is the basis for several activities...
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A new SURF-based algorithm for robust registration of multimodal images data
In this paper, we propose an original algorithm allowing the registration of multimodal images. Indeed, the large and nonlinear intensity changes...
