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检索条件"任意字段=International Conference on Pattern Analysis and Intelligence Robotics"

共 15923 条记录，以下是411-420 订阅

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Robot Arm Design and Application Case analysis Combining Artificial intelligence and Bionics

Robot Arm Design and Application Case Analysis Combining Art...

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robotics and Technologies for Industrial Automation (ROBOTHIA), IEEE international conference on

作者： Nuo Pang Mustaffa Halabi Azahari School of design Dalian University of Science and Technology Dalian China City Graduate School City University Malaysia Kuala Lumpur Malaysia

ISBN: (数字)9798350356755

ISBN: (纸本)9798350356762

With the application of artificial intelligence (AI) technology in medical diagnosis, treatment, and rehabilitation, combining AI with bionics to design more intelligent and adaptable robotic arms can improve the effectiveness of rehabilitation training. However, there are still many challenges in accurately identifying and simulating the movement patterns of the human arm. In this article, we investigated the application of bionics in the design of artificial joints and motion-assistive devices, as well as the role of machine learning and deep learning in motion pattern recognition and electromyography signal processing. In addition, combining AI with bionic technology, we designed and developed a bionic rehabilitation arm with highly intelligent and personalized features. The arm excels in motion pattern recognition and electromyography signal processing and can effectively enhance the effectiveness of rehabilitation training.

关键词： Training Service robots Biomimetics Arms Signal processing Manipulators Solids Electromyography pattern recognition Artificial intelligence

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Synchronization analysis of stochastic Cohen-Grossberg neural networks driven by G-Brownian motion with inertial terms 2

Synchronization analysis of stochastic Cohen-Grossberg neura...

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2nd international conference on robotics, Artificial intelligence and Intelligent Control, RAIIC 2023

作者： Wang, Yaqian Yang, Jun Gou, Jinhao Xu, Shiqiang Southwest Minzu University College of Electrical Engineering Chengdu China

ISBN: (纸本)9798350328004

In this paper, the exponential synchronization (ES) of stochastic Cohen-Grossberg neural networks driven by G-Brownian motion with inertial terms (G-SCGNNIs) is studied. The original system is transformed into another system by variable substitution. Through establishing an appropriate Lyapunov function and using G-Itô formula, the exponential synchronization criterion of the system is discovered. Ultimately, a numerical simulation example is provided to validate the theoretical result. © 2023 IEEE.

关键词： Lyapunov functions

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Determining traffic node reliability by fuzzy fault tree analysis and small scaled model 22

Determining traffic node reliability by fuzzy fault tree ana...

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IEEE Joint 22nd international Symposium on Computational intelligence and Informatics / 8th IEEE international conference on Recent Achievements in Mechatronics, Automation, Computer Science and robotics (CINTI-MACRo)

作者： Tompa, Ilona Bakucz, Peter Gabor, Kiss Obuda Univ Banki Donat Fac Mech & Safety Engn Budapest Hungary

ISBN: (纸本)9798350398823

In this paper, we outline the analysis of a traffic node's safety using a fuzzy fault tree method and a small-scaled model to gain information on the reliability of the node. The reliability of the dynamics of the node is determined by using the fuzzy FTA optimized minimal cut set procedure in a planned, small-scaled real environment, which requires testing the procedure in real-time and in an embedded environment. The optimization is based on percolation theory.

关键词： fuzzy fault tree minimum cut set percolation theory autonomous vehicles scaled model

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3rd international conference on Artificial intelligence, robotics, and Communication, ICAIRC 2023

3rd International Conference on Artificial Intelligence, Rob...

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3rd international conference on Artificial intelligence, robotics, and Communication, ICAIRC 2023

ISBN: (纸本)9789819721993

The proceedings contain 33 papers. The special focus in this conference is on Artificial intelligence, robotics, and Communication. The topics include: Design and Research of UAV Fire Emergency and Intelligent Inspection System in the Valve Hall of Converter Station;Development Overview and Application Prospects of Advanced UUVs;bisporus Mushroom 3D Reconstruction for Digital Twin of Smart Factory;Research on Automatic Music Generation Based on LSTM;specific Emitter Identification Method Based on Aggregation Model with Metric Learning in Complex Field;fake Comment Detection Based on Generative Adversarial Networks;Shipping Risk Assessment Ship Inspection Method Based on Improved YOLOv5;spatiotemporal Prediction of Harmful Algal Blooms Based on Spatiotemporal Attention and Transformer;large-Scale Information Dissemination Algorithm Based on Random Mapping;Smoke Detection in Complex Scenery Using Improved Faster-RCNN;CoT-Enhanced CNN-ViT Fusion with Adaptive Token Learning for Precise Facial Expression Recognition;evaluation Method of Cognitive Level Based on Machine Learning and Wearable Device;ship Image Segmentation Based on Multi-dimensional Information and Feature Fusion;real-Time 6-DoF Object Pose Estimation Network Based on 2D-3D Coordinate Correspondence;traffic Light Detection Based on Deep Learning;robot Navigation Based on Reinforcement Learning: An Overview;active Control Technology of Supply Chain Intelligent Work Robot Based on Speech Enhancement Technology;research on Security Technology of Power Dispatching Data Network Based on Deep Learning;An Improved RRT Path Planning Method Incorporating Deep Reinforcement Learning for Space Multi-arm Robot;a Classification Denoising Algorithm Based on 3D Point Cloud Curvature;Comparative analysis of the Effect of KPCA in PSO-GRU Combination Model.

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Ethics in Artificial intelligence: An analysis of Ethical Issues and Possible Solutions 3

Ethics in Artificial Intelligence: An Analysis of Ethical Is...

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3rd international conference on Smart Technologies, Communication and robotics, STCR 2023

作者： Ayub, Zahrah Banday, M. Tariq University of Kashmir Department of Electronics and Instrumentation Technology Srinagar India

ISBN: (纸本)9798350370867

Unprecedented advances in Artificial intelligence and its widespread applications in diverse fields without a sufficient social, ethical, legal, or technological framework to oversee it have sparked concerns about its decisions having ethical and social implications. Identifying and addressing the ethical issues of artificial intelligence has been a topic of great importance to researchers, governments, law enforcement agencies, and corporations, given the growing concerns of individuals, organizations, countries, and society. However, very little progress has been made to address them. These ethical and social issues, such as privacy breaches, bias, discrimination, non-accountability, less transparency, unemployment, promoting inequality, social manipulation, loss of human relationships, and independence, inevitably impact the existing social order and raise ethical concerns. This paper provides an overview and analysis of ethical issues, strategies for dealing with them, and techniques for assessing the ethics associated with artificial intelligence. Additionally, the study underscores the increasing ethical and social ramifications arising from the expanding use of technology in various domains. It also highlights insufficient technical solutions and a fitting framework to tackle these concerns. Ultimately, the paper emphasizes the necessity for thorough research to identify suitable technological solutions to address these ethical challenges. © 2023 IEEE.

关键词： Machine learning

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Advanced Chatbot For College Cafeteria 2

Advanced Chatbot For College Cafeteria

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2nd international conference on Artificial intelligence Trends and pattern Recognition, ICAITPR 2024

作者： Nandini, Samunuri Chitra Sri, Kompalli Udaya Mukunda, Kattabatuni Deepthi Pb Siddhartha College Of Arts And Science Department Of Data Science & Artificial Intelligence Vijayawada India

ISBN: (纸本)9798350368000

A chatbot provides a user-friendly interface for students and staff to interact with the cafeteria, simplifying the process of accessing information, placing orders, and addressing inquiries. Integrating a chatbot into a college cafeteria can optimize operations, improve user satisfaction, and contribute to a more efficient and enjoyable dining experience for students and staff alike. In our work, we created a chatbot for our college cafeteria using Dialogflow as a framework, where we connect the backend server to Dialogflow webhook, which gives us the website of the PB Siddhartha cafeteria. © 2024 IEEE.

关键词： Chatbot Dialogflow FastAPI Generative AI MySQL ngrok NLP

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analysis of Segmented Spectrograms for Human Activity Recognition via Neural Network 10th

Analysis of Segmented Spectrograms for Human Activity Recogn...

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10th Biennial international conference on pattern Recognition and Machine intelligence (PReMI)

作者： Dixit, Avinash Kulkarni, Vinay Reddy, V. V. Int Inst Informat Technol Bengaluru India Ignitarium Technol Solut Pvt Ltd Bengaluru India

ISBN: (纸本)9783031451690;9783031451706

Identification of human activities without intruding into their privacy appeals to the use of radar. The micro-movements of the body parts of any activity induce unique micro-Doppler signatures in the spectrogram. We design two neural network architectures that can effectively identify activities. The networks are designed to have a reduced number of model parameters for their adoption in embedded hardware. To observe the sensitivity of these networks, we verify their performance with varying duration of spectrograms.

关键词： Human Activity Classification LSTM Convmixer

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Artificial intelligence-Driven Conceptual Framework to Generate Value from the Data in the Banking Industry: A Systematic Review

Artificial Intelligence-Driven Conceptual Framework to Gener...

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2023 international conference on Artificial intelligence robotics, Signal and Image Processing, AIRoSIP 2023

作者： Kristiana, Idha Ranti, Benny Gaol, Ford Lumban Harso Supangkat, Suhono Doctor of Computer Science Binus University Computer Science Department Jakarta Indonesia Faculty of Computer Science Indonesia University Computer Science Department Depok Indonesia Institute of Technology Bandung Faculty of Digital Communications and Hotel & Tourism Bandung Indonesia

ISBN: (纸本)9798350327472

This paper presents a comprehensive analysis of an artificial intelligence-driven (AI-driven) conceptual framework to generate value from the data in the banking industry. The study provides a literature review to investigate the challenges of an AI-driven conceptual framework in the banking industry. Data quality management, data privacy and security, infrastructure capability, data governance and regulatory compliance, and talent and expertise have been identified as challenges. Based on a systematic review of the literature, this paper proposes Exploration, Classification, Protection, and Value (ECPV) and Explore, Understand, Act, and Engage (EUAE) as key parts of a conceptual framework driven by artificial intelligence to get value from data in the banking industry. The ECPV and EUAE address the identified challenges and offer a structured methodology for managing an AI-driven conceptual framework in the banking industry. It emphasizes the exploration of data sources, classification based on sensitivity and relevance, implementation of comprehensive data protection and privacy measures, and value extraction from data using artificial intelligence approaches. By using an AI-driven conceptual framework called Explore, Understand, Act, and Engage (EUAE) for customer-centric analytics, we give customers a full picture of their bank account activity and more control over how they manage their money. This improves customer engagement by giving customers insights and suggestions. © 2023 IEEE.

关键词： Sales

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Advancements and Applications of Artificial intelligence in Various Sectors: From Internet of Vehicles to 6G and Healthcare 4

Advancements and Applications of Artificial Intelligence in ...

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4th international conference on Pervasive Computing and Social Networking (ICPCSN)

作者： Mittal, Amit Pandey, Harsh Arsh, Mohammad Soni, Mukesh Goyal, Himanshu Rai Sharma, Somesh Graph Era Hill Univ Dept Allied Sci Bhimtal Campus Bhimtal Uttarakhand India Graph Era Hill Univ Dept CSE Bhimtal Campus Bhimtal Uttarakhand India Dr DY Patil Vidyapeeth Pune Maharashtra India Dr DY Patil Sch Sci & Technol Pune Maharashtra India Graph Era Deemed Univ Dept Compter Sci & Engn Dehra Dun Uttarakhand India Graph Era Hill Univ SOM Bhimtal Campus Bhimtal India

ISBN: (纸本)9798350386356;9798350386349

This research study explores the diverse application of Artificial intelligence (AI) across various areas, it transforms impact on technological advancement. This survey begins by investing in AI's role in enhancing the efficiency of the Internet of Vehicles through real-time Data collection and edge computing addressing challenges in optimizing edge service. The paper goes into AI's critical contribution to medical diagnosis, disease detection and treatment highlighting applications in breast cancer detection and medical image analysis. The concept of human-AI collaboration is introduced, using the integration of human intelligence with AI to create a hybrid intelligence system. The paper further discusses an ice role in the COVID-19 pandemic from diagnosis to treatment utilizing deep learning techniques and extreme learning machines. This study extends to large-scale, power grid simulation analysis, where AI including deep learning and reinforcement learning significantly improves efficiency and accuracy. The integration of AI into robotics explains the role of teaching, assistant robots and vision-based assessment systems. The concept of smart farming is introduced, showcasing its potential to revolutionize agriculture production. Focusing on maximum PowerPoint tracking techniques for the improvement of efficiency. This study explores applying the artificial immune system of multi-objective optimization with decision-making and introduces the beneficial perturbation network for overcoming continued learning challenges in an Artificial Neural Network (ANN). Satellite communication and the vision of a 6G network are discussed in the integration of AI, IOT and 5G. In the context of the next generation, Smart credit is highlighted in this study and finally concluded by discussing about the challenges in Wireless Sensor Networks (WSN) and the increasing importance of AI.

关键词： Artificial intelligence Medical Diagnosis Smart Farming Communication Education

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Enhancing DNA Sequence analysis for Disease Diagnosis and Prediction Using Parallelised Hash-Based Approach 2

Enhancing DNA Sequence Analysis for Disease Diagnosis and Pr...

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2nd international conference on Computational intelligence, Communication Technology and Networking, CICTN 2025

作者： Sreeram, Anusha Bhukya, Raju Department of Computer Science and Engineering National Institute of Technology Warangal India

ISBN: (纸本)9798331530389

DNA sequencing is a critical tool in genetics, helping to identify disease-causing mutations, predict disease risks, screen for genetic diseases, and monitor disease progression. By determining the order of nucleotides that make up DNA, DNA sequencing allows for the identification of genetic information in specific DNA fragments, entire genomes, or complex microbiomes. It has transformed disease diagnosis and treatment and has applications in biotechnology, forensic science, and evolutionary biology. Comparing DNA sequences helps researchers identify genetic disorders, cancers, and antibody repertoires, leading to tailored treatments for individual patients. However, the diagnosis of diseases using DNA requires an efficient algorithm due to the large number of nucleotides in DNA sequences. The hash-based approach, an optimal string pattern-matching algorithm, is used to identify relevant patterns in DNA sequences. This approach has shown significant improvement in speed compared to the single pattern matching approach for finding multiple string patterns and a parallelized approach for hash based using GPU is also proposed. © 2025 IEEE.

关键词： DNA sequences

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