132 Result(s)
within
Conference Paper
Ling**g Kong
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Chapter and Conference Paper
Generalization of Relay Node Deployment Problem for Wireless Sensor Network on jMetal
In Wireless Sensor Networks (WSNs), the relay nodes deployment problem is essential, as the relay nodes serve as cluster heads aggregating the data packages from sensors. Further, the relay nodes transmit coll...
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Chapter and Conference Paper
Machine Learning-Driven Reactor Pressure Vessel Embrittlement Prediction Model
The application of machine learning in the nuclear field has been considered for the prediction of neutron irradiation embrittlement of reactor pressure vessel (RPV) steels in recent years. In this study, the ...
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Chapter and Conference Paper
Entropy-Based Health State Evaluation of Unmanned Cluster Systems
Unmanned cluster system refers to an overall system in which a number of unmanned systems cooperate to accomplish complex tasks in a certain time and space according to the division of tasks. In recent years, ...
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Chapter and Conference Paper
A Study on the Export Trend Forecast of Chinese Pharmaceutical Industry Based on GM (1,1) Model
This study aimed to forecast the exports of Chinese pharmaceutical industry by GM (1,1) gray forecasting model. The data of the study are taken from China’s pharmaceutical industry exports from 2001 to 2020. T...
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Chapter and Conference Paper
A Hybrid Algorithm ACS-GA for Solving the Traveling Salesman Problem
Traveling Salesman Problem (TSP), a well-known combinatorial optimization problem, aims to find the shortest path for a salesman to visit all the given cities and return to the departure city, with each city v...
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Chapter and Conference Paper
Binary Growth Optimizer: For Solving Feature Selection Optimization Problems
The present study introduces a novel binary meta-heuristic optimizer, referred to as the Binary Growth Optimizer (BGO), which is specifically developed to address discrete optimization problems. The BGO utiliz...
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Chapter and Conference Paper
Bamboo Forest Growth Optimization Algorithm for Night Image Enhancement
The Bamboo Forest Growth Optimization(BFGO) algorithm is an algorithm proposed by the growth law of bamboo forest, which has the advantages of fast convergence and not easily falling into local optimum. In thi...
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Chapter and Conference Paper
Attention Scheduler Based on Reinforcement Learning for Multi-robot System
In a manufacturing job shop, many machines demand the assistance of auxiliary robots, such as supplement raw materials. In order to balance energy saving and effective scheduling, auxiliary robots have to unde...
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Chapter and Conference Paper
Research and Application of AI-Enabled Education
Artificial intelligence technology has developed rapidly in various fields and has been widely used. Education and teaching are also areas in which artificial intelligence is applied. Research on artificial in...
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Chapter and Conference Paper
LtrGCN: Large-Scale Graph Convolutional Networks-Based Learning to Rank for Web Search
While traditional Learning to Rank (LTR) models use query-webpage pairs to perform regression tasks to predict the ranking scores, they usually fail to capture the structure of interactions between queries and...
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Chapter and Conference Paper
Artificial Intelligence Focuses on “Intelligence” Superiority in the War
The development and application of AI have promoted the transformation of warfare into an intelligent form. This article explores that AI is essentially a kind of manifestation of “intelligence” and analyzes t...
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Chapter and Conference Paper
Discussion on AI Influence from the Perspective of Chat GPT
Based on the analysis of the concept and function of Chat GPT this article explores the influence that AI brought from the following 4 aspects: 1. Whether Chat GPT is a creative artifacts or a cheating tool; 2...
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Chapter and Conference Paper
Attentive Multi-Layer Perceptron for Non-autoregressive Generation
Autoregressive (AR) generation almost dominates sequence generation for its efficacy. Recently, non-autoregressive (NAR) generation gains increasing popularity for its efficiency and growing efficacy. However,...
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Chapter and Conference Paper
Exploring the Training Robustness of Distributional Reinforcement Learning Against Noisy State Observations
In real scenarios, state observations that an agent observes may contain measurement errors or adversarial noises, misleading the agent to take suboptimal actions or even collapse while training. In this paper...
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Chapter and Conference Paper
Design and Implementation of Lightweight Thigh Structures for Biped Robots Based on Spatial Lattice Structure and Additive Manufacturing Technology
In order to reduce the weight of the biped robot, three kinds of thigh structures based on spatial lattice structure, namely BCC, FCC, BCCZ are introduced in this paper. Finite element analysis is then carried...
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Chapter and Conference Paper
Analysis on Loitering Attack Missile Application in Nagorno-Karabakh Conflict
In the Nagorno-Karabakh conflict, “Harop” as the representative of the loitering attack missile record is not bad, the precision strike effect is prominent. This paper briefly introduces the situation
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Chapter and Conference Paper
Fast Walking of Position-Controlled Biped Robot Based on Whole-Body Compliance Control
When a biped robot walks at a high speed, only relying on the open-loop gait trajectory based on the linear inverted pendulum model (LIPM), the robot cannot maintain stability. Sudden contact with the ground w...
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Chapter and Conference Paper
Simulation System of Underwater Robot Control Based on Neural Network
Underwater robots are a collection of underwater equipment and high-tech materials. It can serve as an extension of human understanding and many aquatic and aquatic bodies to complete many underwater explorati...
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Chapter and Conference Paper
Chaos Rafflesia Optimization Algorithm
Intelligent optimization algorithms are one of the crucial methods to solve optimization problems at present. When faced with practical issues in multi-dimensional space, intelligent optimization algorithms ca...
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Chapter and Conference Paper
The Development and Research of UAV Cluster Cooperative Combat
UAV has the characteristics of low cost, miniaturization, single function and flexible network, which makes UAV cluster combat attack the enemy through quantitative advantage, cooperative perception and intell...
