the proceedings contain 13 papers. the special focus in this conference is on Artificial Intelligence for Communications and Networks. the topics include: A Research of Infectivity Rate of Seasonal Influenza from Pre-...
ISBN:
(纸本)9783031291258
the proceedings contain 13 papers. the special focus in this conference is on Artificial Intelligence for Communications and Networks. the topics include: A Research of Infectivity Rate of Seasonal Influenza from Pre-infectious Person for Data Driven Simulation;creating Trust Within Population of Evolutionary Computation in an Uncertain Environment Using Blockchain;efficient inductivelogicprogramming Based on Particle Swarm Optimization;fault Diameter of Strong Product Graph of Two Paths;Design and Implementation of SF Selection Based on Distance and SNR Using Autonomous Distributed Reinforcement Learning in LoRa Networks;QBRT: Bias and Rising threshold Algorithm with Q-Learning: Implementation of the Tower of Hanoi;A Study on Effectiveness of BERT Models and Task-Conditioned Reasoning Strategy for Medical Visual Question Answering;deep Robust Neural Networks Inspired by Human Cognitive Bias Against Transfer-based Attacks;efficient Estimation of Cow’s Location Using Machine Learning Based on Sensor Data;A Time Series Forecasting Method Using DBN and Adam Optimization;unity-Bounded Function and Benchmark Design Specifications Targeted for Designing Typical Variable Digital Filters.
Simulation-based testing of autonomous vehicles (AVs) has become an essential complement to road testing to ensure safety. Consequently. substantial research has focused on searching for failure scenarios in simulatio...
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ISBN:
(纸本)9781665409674
Simulation-based testing of autonomous vehicles (AVs) has become an essential complement to road testing to ensure safety. Consequently. substantial research has focused on searching for failure scenarios in simulation. However, a fundamental question remains: are AV failure scenarios identified in simulation meaningful in reality - i.e., are they reproducible on the real system? Due to the sim-to-real gap arising from discrepancies between simulated and real sensor data, a failure scenario identified in simulation can be either a spurious artifact of the synthetic sensor data or an actual failure that persists with real sensor data. An approach to validate simulated failure scenarios is to identify instances of the scenario in a corpus of real data, and check if the failure persists on the real data. To this end, we propose a formal definition of what it means for a labelled data item to match an abstract scenario, encoded as a scenario program using the SCENIC probabilistic programming language. Using this definition, we develop a querying algorithm which, given a scenario program and a labelled dataset, finds the subset of data matching the scenario. Experiments demonstrate that our algorithm is accurate and efficient on a variety of realistic traffic scenarios, and scales to a reasonable number of agents.
In this article, a decentralized fuzzy optimal control method dependent on value iteration (VI) is proposed to settle the optimal trajectory tracking control problem of modular reconfigurable robots (MRRs) under the a...
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the proceedings contain 62 papers. the topics discussed include: recognizing modern Japanese magazines by combining deep learning with language models;mining high utility sequences with a novel utility function;fully ...
ISBN:
(纸本)9781665499750
the proceedings contain 62 papers. the topics discussed include: recognizing modern Japanese magazines by combining deep learning with language models;mining high utility sequences with a novel utility function;fully automated machine learning pipeline for echocardiogram segmentation;prioritizing automated test cases of web applications using reinforcement learning: an enhancement;design of an GIS-based investment heatmap system using topic classification and NER;on consistency of redundancy deduction of linguistic fuzzy rules;towards expert-guided elucidation of cyber-attacks through interactive inductivelogicprogramming;esports game updates and player perception: data analysis of PUBG steam reviews;resolving inconsistencies in probabilistic knowledge bases by quantitative modification;and improving graph convolutional networks with transformer layer in social-based items recommendation.
We continue to see an increase in applications based on multi-agent system technology. As the technology becomes more widespread, so does the requirement for agent systems to operate reliably. In this paper, we expand...
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ISBN:
(纸本)9789897584848
We continue to see an increase in applications based on multi-agent system technology. As the technology becomes more widespread, so does the requirement for agent systems to operate reliably. In this paper, we expand on the approach of using an agents logic to prove properties of agents. Our work describes a transformation from GOAL program code to an agent logic. We apply it to a Blocks World for Teams agent and prove a correctness property. Finally, we sketch future challenges of extending the framework.
the article is dedicated to the study of the execution speed of the back-end part of the application, which functions under high load conditions. the study was conducted for program codes written in different programm...
the article is dedicated to the study of the execution speed of the back-end part of the application, which functions under high load conditions. the study was conducted for program codes written in different programming languages. At the same time, the REST API style in the microservices architecture was used to implement the application. Modern software environments based on Python, Golang, JavaScript, and Elixir programming languages were selected for analysis. Several characteristics of the software code were experimentally investigated, which reflect the speed qualities of the application. An analysis of the obtained results was carried out and relevant conclusions were drawn.
programming is an essential part of the curriculum for electrical, computer and software engineering students. Since one inevitably makes coding mistakes, it is important for programmers to develop debugging skills. H...
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ISBN:
(数字)9798350367416
ISBN:
(纸本)9798350367423
programming is an essential part of the curriculum for electrical, computer and software engineering students. Since one inevitably makes coding mistakes, it is important for programmers to develop debugging skills. However, it could be challenging for beginners to repair a non-compiling program, since programming error messages tend to be opaque, and might not directly address the error. this paper investigates the use of Large Language Models to generate plain, novice-friendly explanations of programming error messages. In an introductory course on Natural Language Processing, We evaluate the extent to which these explanations help students debug Python code with six common programming error categories. Experimental results suggest that explanations generated with zero-shot GPT-4 are effective in raising the code revision success rate.
this work experimentally demonstrates the computational capabilities of gold nanoparticle colloidal suspensions. Here we implement Boolean logic gates in Au nanoparticle solutions by applying binary input signals thro...
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ISBN:
(数字)9798350385427
ISBN:
(纸本)9798350385434
this work experimentally demonstrates the computational capabilities of gold nanoparticle colloidal suspensions. Here we implement Boolean logic gates in Au nanoparticle solutions by applying binary input signals through electrical stimulation and recording the electrical output responses. the output signals are thresholded to derive logical expressions. the results show that Au colloids can exhibit conjunction, disjunction, and negation operations. Unique sum-of-products expressions are discovered for 2-bit and 4-bit binary string inputs, with increased complexity observed for 4-bit strings. the rich computational behaviour exhibited highlight the potential of colloidal solutions for unconventional computational devices.
Description logic is widely used to describe and represent knowledge in the Semantic Web. It is a modern and powerful mechanism that provides the possibility of extracting knowledge from already existing ones. thanks ...
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the existing Chinese learning app has the problem of imperfect logicprogramming model, which leads to the low compatibility of app. this paper designs a Chinese learning app for international students based on user s...
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ISBN:
(纸本)9781665432634
the existing Chinese learning app has the problem of imperfect logicprogramming model, which leads to the low compatibility of app. this paper designs a Chinese learning app for international students based on user satisfaction. According to the morpheme meaning classification of vocabulary attributes, using Chinese part of speech features to design vocabulary classification interface, based on user satisfaction to build a logical programming model, measure user information, combined with foreign students' Chinese learning mode to set offline learning function. Experimental results: the average compatibility of the designed app and the two existing apps is 76.830%, 61.593% and 59.168% respectively, which proves that the Chinese learning app integrated with user satisfaction has higher compatibility.
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