With the rise of internet services and higher living standards, online home services are booming. Online housekeeping order dispatch is often modeled as Multi-Depot Vehicle Routing with Time Windows (MDVRPTW), yet exi...
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Sunflower diseases like Alternaria blight, downy mildew, and rust are a major menace to agricultural output and require effective and precise detection mechanisms. Labor-consuming and human error-prone conventional ma...
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Due to its high mortality rate and limited survival duration, early identification of breast cancer is vital. The primary application of machine learning models has been the prediction and early diagnosis of breast ca...
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A Machine learning-Driven Rate Adaptation Strategy for Cross-Layer Routing in Mobile Ad-Hoc Networks (MANET) represents the main contribution of the research which solves QoS challenges in real-time applications. The ...
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This research focuses on addressing the challenges associated with training object detection and segmentation models for autonomous vehicles using real-world data, which is often difficult to collect, limited in diver...
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The proceedings contain 157 papers. The topics discussed include: a self-scaling dynamic blockchain model for IoT;advanced generative ai methods for academic text summarization;data augmentation for entity resolution:...
ISBN:
(纸本)9798350372977
The proceedings contain 157 papers. The topics discussed include: a self-scaling dynamic blockchain model for IoT;advanced generative ai methods for academic text summarization;data augmentation for entity resolution: a comparative evaluation;mitigation of user-prompt bias in large language models: a natural language processing and deep learning based framework;evaluating the effectiveness of an object detection pipeline to support surveillance of unintended passage;automated scripting for real-time responses to suspicious user actions;highway merging control using multi-agent reinforcement learning;using machine learning to predict student success in undergraduate engineering programs;NeuroAqua: developing an optimized artificial intelligence and Internet of Things-based aquaponics system;and precision fish farming to mitigate pond water quality through IoT.
This study focuses on the problem of vehicle dynamics modeling within the framework of intelligent vehicles cyber-physical systems. Initially, a mechanistic analysis of vehicle dynamics is conducted, and, leveraging i...
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ISBN:
(纸本)9798350366105;9798350366099
This study focuses on the problem of vehicle dynamics modeling within the framework of intelligent vehicles cyber-physical systems. Initially, a mechanistic analysis of vehicle dynamics is conducted, and, leveraging its characteristics, we design a composite neural network that integrates Gated Recurrent Unit (GRU) and Feedforward Neural Network (FNN), employing a data-driven modeling methodology. Subsequently, a novel neural network-based digital mapping proxy model for vehicle dynamics is formulated. Comparative experiments among various methods demonstrate that our proposed approach yields higher precision in both lateral and longitudinal dynamic models. The application of our model to the vehicle longitudinal speed tracking control system validates its suitability and real-time performance in control system simulation.
This paper presents a clustering approach before long short-term memory (LSTM) modeling for preprocessing to enhance the model's predictability without increasing the complexity of the LSTM model. Relevant feature...
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The accumulation of trash in aquatic and marine environments has severe and significant consequences on marine ecosystems, resulting in a persistent environmental hazard. While volunteer trash pickup efforts have grow...
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With the emergence of massive news every day leading to information overload, it is difficult for people to select the content they are really interested in from numerous news articles. The language knowledge and stro...
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