云南高校图书馆联盟文献共享服务平台- Intelligent Control and Automation

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Making Predictive Maintenance a Reality: 《Intelligent Control and Automation》2025年第1期1-18,共18页Subash Senthil Mohanvel; While Artificial Intelligence (AI) is leading the way in terms of hardware advancements, such as GPUs, memory, and processing power, real-time applications are still catching up. It is inevitable that when one aspect ...; 关键词：PREDICTIVE Predictive Maintenance How to Achieve Predictive Maintenance

A Prediction Method of Rail Corrugation Evolution Trend for Heavy Haul Railway Based on IPCA and ELWOA-LSSVM: 《Intelligent Control and Automation》2025年第1期19-33,共15页Mingxia Liu Kexin Zhang; Rail corrugation, as a prevalent type of rail damage in heavy railways, induces diseases in the track structure. In order to ensure the safe operation of trains, an improved whale optimization algorithm is proposed to...; 关键词：Rail Corrugation PCA Evolution Trend Prediction WOA LSSVM

Logical Structure School II (Nine Applied Theories): 《Intelligent Control and Automation》2024年第4期160-214,共55页Dong H. Liu; Based on existing logic theories, this paper proposes nine classical application theories. These consist of Logical Spacetime (which includes Logical Spacetime and Logical Mathematics and Physics), Logical Fields, Log...; 关键词：PURPOSE Logical Subject Life-Giving Logical Equation Structure Diagram Bionic Logic

Prediction of Abidjan Groundwater Quality Using Machine Learning Approaches: An Exploratory Study: 《Intelligent Control and Automation》2024年第4期215-248,共34页Dion Gueu Edith Kressy; Continuous groundwater quality monitoring poses significant challenges affecting the environment and public health. Groundwater in Abidjan, specifically from the Continental Terminal (CT), is the primary supply source...; 关键词：GROUNDWATER AHP Weight-Based WQI Machine Learning Prediction Regression Models

Application of Random Search Methods in the Determination of Learning Rate for Training Container Dwell Time Data Using Artificial Neural Networks: 《Intelligent Control and Automation》2024年第4期109-124,共16页Justice Awosonviri Akodia Clement K. Dzidonu David King Boison Philip Kisembe; Purpose: This study aimed to enhance the prediction of container dwell time, a crucial factor for optimizing port operations, resource allocation, and supply chain efficiency. Determining an optimal learning rate for ...; 关键词：Container Dwell Time Prediction Artificial Neural Networks (ANNs) Learning Rate Optimization RandomizedSearchCV Algorithm and Port Operations Efficiency

Logical Structure School I (Five Fundamental Theories): 《Intelligent Control and Automation》2024年第4期125-159,共35页Dong H. Liu; Based on The Purpose of Logical Structure School, Logic Structure, Logical Engineering, Theory of Logical Equation Structure Diagrams, and Bionic Logic Theory, this paper proposes five foundational classical theories ...; 关键词：Purpose Subjective Initiative Life-Giving Logical Equation Structure Diagram Bionic Logic

Capturing CO2 Emissions in the George C. Wallace Tunnel: A Case Study: 《Intelligent Control and Automation》2024年第3期83-94,共12页Gabe Canitz Cole Ciesta Klint Green Justin Sanders Jason Valencia Jeremy Willingham Daniel Fonseca; This paper describes the design of a ventilation system to be paired with a carbon capture system. The ventilation system utilizes the geometry of the George C. Wallace tunnel, located in the City of Mobile, Alabama, ...; 关键词：CO2 Capture Tunnel Ventilation Air Flow Analysis Jet Fan Sizing

Observer Based Control for a Class of Systems with Output Deadzone Nonlinearity: 《Intelligent Control and Automation》2024年第3期95-107,共13页Nizar J. Alkhateeb Hameed K. Ebraheem; In this paper, a combination of model based adaptive design along with adaptive linear output feedback controller is used to compensate for robotic manipulator with output deadzone nonlinearity. The deadzone dynamics ...; 关键词：Adaptive Output Observer Deadzone Compensation Robot Manipulator Sliding Mode Control

Prediction and Analysis of Elevator Traffic Flow under the LSTM Neural Network: 《Intelligent Control and Automation》2024年第2期63-82,共20页Mo Shi Entao Sun Xiaoyan Xu Yeol Choi; Elevators are essential components of contemporary buildings, enabling efficient vertical mobility for occupants. However, the proliferation of tall buildings has exacerbated challenges such as traffic congestion with...; 关键词：Elevator Traffic Flow Neural Network LSTM Elevator Group Control

Intelligent Decision-Making in Warehouse Management: How AI Automation Improves Inventory Tracking, Order Fulfillment, and Logistics Efficiency Compared to Drone Technology: 《Intelligent Control and Automation》2024年第1期1-8,共8页Somil Nishar; This paper analyzes how artificial intelligence (AI) automation can improve warehouse management compared to emerging technologies like drone usage. Specifically, we evaluate AI’s impact on crucial warehouse function...; 关键词：Warehouse Management Artificial Intelligence AUTOMATION Inventory Management Order Fulfillment

《Intelligent Control and Automation》