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检索条件"任意字段=The 2010 IEEE International Conference on Progress in Informatics and Computing"

共 1879 条记录，以下是11-20 订阅

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PIC 2016 - Proceedings of the 2016 ieee international conference on progress in informatics and computing

PIC 2016 - Proceedings of the 2016 IEEE International Confer...

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4th ieee international conference on progress in informatics and computing, PIC 2016

ISBN: (纸本)9781509034833

The proceedings contain 146 papers. The topics discussed include: high-dimensional real parameter clonal selection memory algorithm;an empirical research of marine fishery forecasting methods based on the classification model;refinement of a Newton reciprocal algorithm for arbitrary precision numbers;a time series clustering method based on hypergraph partitioning;sparse coding with sparse dictionaries for credit risk classification;a reduced weighted Wang-Mendel algorithm using the clustering algorithm to build fuzzy system;real time activity recognition on streaming sensor data for smart environments;forecasting house price index of china using dendritic neuron model;training a dendritic neural model with genetic algorithm for classification problems;improving Elman neural network model via fusion of new feedback mechanism and genetic algorithm;a new algorithm of diagnosis strategy based on fault criticality;a new logistic map based chaotic biogeography-based optimization approach for cluster analysis;a search-based approach for test suite generation from extended finite state machines;a novel multi-agent knowledge reasoning method for cooperation and confrontation;fitness and diversity guided particle swarm optimization for global optimization and training artificial neural networks;and chaotic grey wolf optimization.

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Proceedings of the 2024 ieee international conference on progress in informatics and computing

Proceedings of the 2024 IEEE International Conference on Pro...

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Symposium of Image, Signal Processing, and Artificial Vision (STSIVA)

Proceedings of the 2024 ieee international conference on progress in informatics and computing.

ISBN: (数字)9798350363203

ISBN: (纸本)9798350363210

Proceedings of the 2024 ieee international conference on progress in informatics and computing.

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Modified Metaheuristic Optimization Algorithm for Hyperparameter Tuning in Mental Health Applications 6

Modified Metaheuristic Optimization Algorithm for Hyperparam...

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6th international conference on Mobile computing and Sustainable informatics, ICMCSI 2025

作者： Kozakijevic, Stanislava Jovanovic, Luka Tedic, Smiljana Jankovic, Ninoslava Zivkovic, Miodrag Bacanin, Nebojsa Faculty of Media and Communication Singidunum University Belgrade Serbia Faculty of Informatics and Computing Singidunum University Belgrade Serbia

ISBN: (纸本)9798331522667

The World health organization considers a mentally healthy person to be able to manage life’s stresses, work productively, and contribute to their communities. However, mental disorders, affecting 970 million people in 2019, often reduce quality of life, necessitating accurate diagnosis and therapy. Affective disorders, encompassing depressive and manic episodes, vary in severity and pattern, with conditions like bipolar disorder and recurrent mood disorders identified through ICD-10 classifications. Diagnosis, typically made by expert teams, remains challenging due to the complex and variable nature of mental disorders, leading to frequent misdiagnoses that hinder treatment progress and erode patient trust. Artificial intelligence (AI) holds promise in supporting mental health diagnosis by identifying subtle patterns in symptoms and validating expert conclusions. While AI’s specialized nature poses limitations, integrating it into clinical practice can improve diagnostic accuracy and reduce errors. High quality models can assist doctors by ruling out less likely conditions and confirming diagnoses. Optimizing AI models, however, requires effective hyperparameter selection, a complex task classified as NP-hard. Metaheuristic algorithms offer a solution, enabling efficient parameter tuning and improving AI model performance. Given the critical implications of accurate mental health diagnoses, leveraging AI and optimization techniques is essential to enhance outcomes and improve lives. This work proposed a modified metahetusirc aimed at optimizing classification accuracy. When evaluated on a genuine dataset the best performing models attain an accuracy of 0.972222 suggesting feasibility in real world situations. © 2025 ieee.

关键词： Patient treatment

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Secure and Reliable 6G Communications with BCH-Based GLDPC and Kyber

Secure and Reliable 6G Communications with BCH-Based GLDPC a...

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ieee international conference on Consumer Electronics (ICCE)

作者： Linh Nguyen Cheol-Hong Min Hanho Lee Tuy Tan Nguyen School of Informatics Computing and Cyber Systems Northern Arizona University USA Department of Electrical. and Computer Engineering University of St. Thomas USA Department of Electrical and Computer Engineering Inha University Republic of Korea

ISBN: (数字)9798331521165

ISBN: (纸本)9798331521172

Channel coding in sixth-generation (6G) networks must attain exceptionally low bit error rate (BER), typically in the range of 10– 6 to 10– 9 , to ensure the requisite level of reliability. While fifth-generation (5G) New Radio (NR) coding techniques have made substantial progress, the inherent limitations of the low error floor impede the attainment of such stringent BER targets. Compared to the low-density parity check (LDPC) codes employed in 5G communications, generalized low-density parity check (GLDPC) codes offer a more advantageous tradeoff between computational complexity and error correction performance in 6G networks. GLDPC codes enhance traditional LDPC structures by incorporating more complex local decoding units within their check nodes. When coupled with cryptographic techniques, GLDPC codes can establish a robust information security framework. In this paper, we propose a new security-based GLDPC that uses a number of BCH matrices for the GLDPC decoding process combined with the Kyber algorithm (BCH-based KyGLDPC) before transmitting data to increase reli-ability and solve the security problem against quantum computer attacks. The system's performance is assessed using both image data and data encrypted prior to transmission in a white additive Gaussian noise environment. The results indicate that the system provides strong error correction and data security.

关键词： 6G mobile communication Quantum computing Computer network reliability System performance Bit error rate Parity check codes Error correction codes Decoding Reliability Channel coding

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A Literature Review of Machine Learning Techniques for Dance Recognition and Robotic Vision

A Literature Review of Machine Learning Techniques for Dance...

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Robotics and Technologies for Industrial Automation (ROBOTHIA), ieee international conference on

作者： Lee Wei San Samuel-Soma M. Ajibade Muhammed Basheer Jasser Adefemi Ayodele Babatunde Adedotun Ajayi Mbiatke Anthony Bassey Department of Data Science and Artificial Intelligence Faculty of Engineering and Technology Sunway University Selangor Darul Ehsan Malaysia Research Centre for Nanomaterials and Energy Technology (RCNMET) Faculty of Engineering and Technology Sunway University Selangor Malaysia Research Centre for Human-Machine Collaboration (HUMAC) Faculty of Engineering and Technology Sunway University Petaling Jaya Selangor Malaysia University of East London London UK Department of Cyber security Faculty of Computing & Informatics Ladoke Akintola University of Technology Ogbomoso Nigeria Department of Business Administration Universiti Tun Hussein Onn Malaysia Batu Pahat Malaysia

ISBN: (数字)9798350356755

ISBN: (纸本)9798350356762

Image recognition, powered by machine learning (ML), has significantly advanced applications in both dance movement recognition and robotic vision. This review examines key ML techniques, including Convolutional Neural Networks (CNNs), Deep Neural Networks (DNNs), Self-Organizing Maps (SOMs), and Long Short-Term Memory (LSTM) networks, alongside pose estimation methods like OpenPose and Part Affinity Fields (PAFs). These techniques enhance dance classification, real-time feedback, and motion analysis, with OpenPose + LSTMs and PAFs + LSTMs demonstrating the highest accuracy. Notwithstanding progress, obstacles such as high computational costs, data dependency, and real-time implementation challenges persist. Beyond dance, these methods are critical in robotic vision, intelligent automation, and industrial image processing, enabling autonomous robotic navigation, defect detection in manufacturing, and AI-driven motion tracking. By leveraging human movement analysis for robotics, ML improves human-robot interaction, robotic-assisted rehabilitation, and industrial automation. Despite progress, challenges such as high computational demands, data dependency, and real-time constraints remain. This review explores future directions, including multimodal data fusion, hybrid AI models, and real-time optimization, bridging the gap between AI-driven motion systems and intelligent automation to enhance adaptability and efficiency across domains.

关键词： Intelligent automation Humanities Solid modeling Image recognition Accuracy Service robots Robot sensing systems Real-time systems Robots Long short term memory

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A Smart Card Management and Application System

A Smart Card Management and Application System

引用

the 2010 ieee international conference on progress in informatics and computing

作者： Mohamed Mohandes King Fahd University of Petroleum & Minerals Dhahran 31261Saudi Arabia

ISBN: (纸本)9781424467860

This paper discusses the development of a smart card *** consists of two parts:Card Management System(CMS) and Application Management System(AMS). The system includes also implementation of a Public Key Infrastructure(PKI) for data *** CMS manages a complete life cycle of smart cards,like requesting a card, printing,and defining holder's *** the application management system,several applications have been implemented including identification,e-wallet,and access *** card management system and card application systems share one centralize *** developed systems have been successfully tested.

关键词： Smart card management system cmart card application system,public key infrastructure

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A preliminary framework for geometric basis computing pattern

A preliminary framework for geometric basis computing patter...

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ieee international conference on progress in informatics and computing (PIC)

作者： Lin, Wei He, Yuanjun Yu, Haiyan Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai China College of Mechanical Engineering Donghua University Shanghai China

ISBN: (纸本)9781424467860

Geometric problems are usually solved by algebraic methods, which narrows the capacity of geometry. We represent a preliminary framework for geometric basis computing pattern. The pattern is based on He's theory and solves the problems in the synthetic way. We define the geometric basis and use an axiomatic prover to generate a sequence of geometric bases. computing is made according to the sequence. We also give an example to demonstration the feasibility of our approach. ©2010 ieee.

关键词： Algebra

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Grid generation based on stress balance

Grid generation based on stress balance

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ieee international conference on progress in informatics and computing (PIC)

作者： Liu, Xinru Han, Xuli Liu, Duanfeng School of Mathematical Science and Computing Technology Central South University Changsha 410083 China Department of Applied Mathematics Guangdong University of Technology Guangzhou 510006 China

ISBN: (纸本)9781424467860

In this paper, we deal with the method of grid generation. From the perspective of deformation mechanics, we propose a new method to generate grid with boundary constrain. Based on the stress balance equation on the node of the domain, the coordinate of the balance particle can be easily obtained by a very simple iteration method. Moreover, some discussions about the free parameters are conducted, and then an improvement version of the method is also proposed. Numerical results show the effectiveness and advantage of the method. ©2010 ieee.

关键词： Deformation

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Refinement of a Newton Reciprocal Algorithm for Arbitrary Precision Numbers 4

Refinement of a Newton Reciprocal Algorithm for Arbitrary Pr...

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4th ieee international conference on progress in informatics and computing (ieee PIC)

作者： Cheng, Yiping Liu, Ze Beijing Jiaotong Univ Sch Elect & Informat Engn Beijing 100044 Peoples R China

ISBN: (纸本)9781509034840

For arbitrary precision numbers, reciprocal computing algorithms based on Newton iteration is asymptotically the fastest. In this work we provide a refined algorithm based on the Newton reciprocal algorithm by Brent and Zimmermann in their MCA book. The key techniques used in the refinement are D1 balancing, clear specification, remainder operation, and economical multiplication. The refined algorithm is more general, and gives exact and unique result. Numerical results show that these improvements are made without the cost of time efficiency. There is still the potential to further improve the efficiency by utilizing a short multiplication algorithm.

关键词： Newton iteration numerical algorithms computer algebra multiprecision computing

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A fast seismic data processing approach based on parallel wavelet transform

A fast seismic data processing approach based on parallel wa...

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ieee international conference on progress in informatics and computing (PIC)

作者： Zhang, Xiaolai Lu, Yongquan Li, Jinsong Wang, Jintao High Performance Computing Center Communication University of China Beijing 100024 China Information Engineering School Communication University of China Beijing 100024 China

ISBN: (纸本)9781424467860

A new implementation of seismic data processing approach based on parallel wavelet transform is presented in this paper. Firstly, the feasibility and necessity of the parallel processing method for seismic data are elaborated from three primary aspects. Based on the analysis, the parallel wavelet transform is implemented by using MATLAB on a distributed cluster. Finally, both sequential and parallel implements are employed to test and compare the performance of our implementation. A series of experiments have demonstrated that parallel wavelet transform can significantly reduce the running time and improve the speedup greatly. ©2010 ieee.

关键词： Wavelet transforms

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