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Sensory Quality Management and Assessment: from Manufacturers to Consumers
This paper presents an intelligent technique based method for analyzing and interpreting sensory data provided by multiple panels for the evaluation...
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Data Mining for Maximal Frequent Patterns in Sequence Groups
In this paper, we give a general treatment for mining some kinds of sequences such as customer sequences, document sequences, and DNA sequences....
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Personalized Multi-Stage Decision Support in Reverse Logistics Management
Reverse logistics has gained increasing importance as a profitable and sustainable business strategy. As a reverse logistics chain has strong...
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Advanced Simulator Data Mining for Operators’ Performance Assessment
This chapter covers the use of data mining operations associated with power plant simulations for training and other purposes, such as risk...
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Toward fair graph neural networks via real counterfactual samples
Graph neural networks (GNNs) have become pivotal in various critical decision-making scenarios due to their exceptional performance. However,...
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Event Identification for Supply Chain Risk Management Through News Analysis by Using Large Language Models
Event identification is important in many areas of the business world. In the supply chain risk management domain, the timely identification of risk...
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Psychosocial factors that favor citizen participation in the generation of scientific knowledge
BackgroundCitizen participation in the generation of scientific knowledge is one of the major challenges facing science and technology systems. This...
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Low power decentralized differentially private multi-armed bandit algorithm based performance improvement on long-range radio network
Low power wide area networks are considerably focused to consume minimum power though increasing a communication array for end policies. Numerous...
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Aspect-based drug review classification through a hybrid model with ant colony optimization using deep learning
The task of aspect-level sentiment analysis is intricately designed to determine the sentiment polarity directed towards a specific target within a...
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Applicability of large language models and generative models for legal case judgement summarization
Automatic summarization of legal case judgements, which are known to be long and complex, has traditionally been tried via extractive summarization...
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Security among UPFs belonging to Different 5G/B5G/6G Networks
Recently, 5G/B5G/6G networks (5G for short) have been gloriously developed to give us colorful lives and make our daily activities more convenient...
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Cooperative coati optimization algorithm with transfer functions for feature selection and knapsack problems
Coatis optimization algorithm (COA) has recently emerged as an innovative meta-heuristic algorithm (MA) for global optimization, garnering...
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Television shows ideation, and testing with smart digital twins to advance ratings
Generating ideas for immersive television shows is fundamental to the television industry. TV channel managers are looking to stay ahead of their...
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RSO-MRSA: rat swarm optimization based modified Rivest–Shamir–Adleman for secure and efficient healthcare monitoring system
Heart disease is the main reason behind the increased mortality rate worldwide, identifying and diagnosing heart disease with disparate features is a...
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Text summarization based on semantic graphs: an abstract meaning representation graph-to-text deep learning approach
Nowadays, due to the constantly growing amount of textual information, automatic text summarization constitutes an important research area in natural...
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Distributed neuro-fuzzy routing for energy-efficient IoT smart city applications in WSN
Wireless sensor networks (WSNs) enable seamless data gathering and communication, facilitating efficient and real-time decision-making in IoT...
