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An enhanced energy and distance based optimized clustering and dynamic adaptive cluster-based routing in software defined vehicular network
Software-Defined Vehicular Networks (SDVN) have been established to facilitate secure and adaptable vehicle communication within the dynamic...
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Statistical inference on multicomponent stress–strength reliability with non-identical component strengths using progressively censored data from Kumaraswamy distribution
In this article, we draw inferences on stress–strength reliability in a multicomponent system with non-identical strength components based on the...
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Apple Leaf Disease Detection Using Transfer Learning
Automated detection of plant diseases is crucial as it simplifies the task of monitoring large farms and identifies diseases at their early stages to...
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Production scheduling decision-making technology for multiple CNC machining centers with constraints on serviceable time
The tool’s life statistics module in CNC machining centers typically associates tool’s usage time with the program’s running duration, leading to the...
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From PARIS to LE-PARIS: toward patent response automation with recommender systems and collaborative large language models
In patent prosecution, timely and effective responses to Office Actions (OAs) are crucial for securing patents. However, past automation and...
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Pricing of shout option in uncertain financial market
The shout option allows the investors to make "shouts" to the seller throughout the option’s duration. The investors’ payoff is higher between the...
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Rethinking AI code generation: a one-shot correction approach based on user feedback
Code generation has become an integral feature of modern IDEs, gathering significant attention. Notable approaches like GitHub Copilot and TabNine...
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Research Progress on Bio-inspired Flap**-Wing Rotor Micro Aerial Vehicle Development
Flap**-wing rotor (FWR) is an innovative bio-inspired micro aerial vehicle capable of vertical take-off and landing. This unique design combines...
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End-to-End Video Text Spotting with Transformer
Recent video text spotting methods usually require the three-staged pipeline, i.e., detecting text in individual images, recognizing localized text,...
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Weed detection in precision agriculture: leveraging encoder-decoder models for semantic segmentation
Precision agriculture uses data gathered from various sources to improve agricultural yields and the effectiveness of crop management techniques like...
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On weighted threshold moment estimation of uncertain differential equations with applications in interbank rates analysis
Uncertainty theory is a branch of mathematics for modeling belief degrees. Within the framework of uncertainty theory, uncertain variable is used to...
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The meaningfulness gap in AI ethics: a guide on how to think through a complex challenge
Technological outsourcing is increasingly prevalent, with AI systems taking over many tasks once performed by humans. This shift has led to various...
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Virtual node graph neural network for full phonon prediction
Understanding the structure–property relationship is crucial for designing materials with desired properties. The past few years have witnessed...
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Multi-modal Prototypes for Open-World Semantic Segmentation
In semantic segmentation, generalizing a visual system to both seen categories and novel categories at inference time has always been practically...
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A real-time human bone fracture detection and classification from multi-modal images using deep learning technique
Human bone is an essential structure that allows the body to move. It is a common observation in contemporary society that bone fractures occur...
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A new uncertain multi-objective rumor intervention model
Internet rumors have no factual basis, lack credibility, and can easily trigger social panic and group attacks. Measures to effectively intervene in...
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An expert method for defining the adaptation conditions of irrigated crops with the ecosystem of Northwestern China
The uncertain impacts of climate changes on the crop water requirements disarrange the on-farm balance of water supply and demand, thus here needs to...
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Sentiments analysis for intelligent customer service dialogue using hybrid word embedding and stacking ensemble
The intelligent customer service conversations between customer and customer service agent exhibit characteristics such as serious colloquialism, a...
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ADMRF: Elucidation of deep feature extraction and adaptive deep Markov random fields with improved heuristic algorithm for speech emotion recognition
On considering Human–Computer Interaction, the recognition of emotion over speech is developed from the niche phase into the most essential...
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CD-iNet: Deep Invertible Network for Perceptual Image Color Difference Measurement
Image color difference (CD) measurement, a crucial concept in color science and imaging technology, aims to quantify the perceived difference between...
