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检索条件"任意字段=2022 Asia Conference on Algorithms, Computing and Machine Learning, CACML 2022"

共 215 条记录，以下是91-100 订阅

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International conference on Cloud computing, Performance computing, and Deep learning, CCPCDL 2022

International Conference on Cloud Computing, Performance Com...

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2022 International conference on Cloud computing, Performance computing, and Deep learning, CCPCDL 2022

ISBN: (纸本)9781510655867

The proceedings contain 91 papers. The topics discussed include: object detection algorithms based on deep learning;mask detection and classification with different convolutional neural networks;a review of key algorithms for network security situation awareness research;an improved RANSAC algorithm for detection, extraction, and enhancement of noisy indoor house type image lines;the construction of a virtual simulation training platform for computer-aided teaching and research courses;label-only membership inference attack based on the transferability of adversarial sample;research on real-time identification method of pig number based on 5G and convolutional neural network;network security situation prediction model based on grey wolf optimization algorithm to optimize support vector machine;a scoring algorithm based on retrieval term expansion;and optimization method for distributed energy access to distribution network based on chaotic genetic simulated annealing algorithm.

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2022 14th International conference on Contemporary computing, IC3 2022

2022 14th International Conference on Contemporary Computing...

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14th International conference on Contemporary computing, IC3 2022

ISBN: (纸本)9781450396752

The proceedings contain 103 papers. The topics discussed include: web application based text encryption;improving classifier efficiency by expanding number of functions in the dataset;brain tumor classification using machine learning and deep learning algorithms: a comparison classifying brain MRI images on the basis of location of tumor and comparing the various machine learning and deep learning models used to predict best performance;identification of undamaged buildings after the event of disaster using deep learning;SVM and logistic regression for facial palsy detection utilizing facial landmark features;implementation of zero-phase zero frequency resonator algorithm on FPGA;an exhaustive investigation on resource-aware client selection mechanisms for cross-device federated learning;advanced malware and their impact on virtualization: a case study on hybrid feature extraction using deep memory introspection;and achieving multilevel elasticity for distributed stream processing systems in the cloud environment: a review and conceptual framework.

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2022 International conference on Electrical and computing Technologies and Applications, ICECTA 2022

2022 International Conference on Electrical and Computing Te...

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2022 International conference on Electrical and computing Technologies and Applications, ICECTA 2022

ISBN: (纸本)9781665456005

The proceedings contain 93 papers. The topics discussed include: design of a voice activity detection algorithm based on logarithmic signal energy;a graphical speech analysis teaching tool;sudoku binary codes and signaling schemes for the applications of radar and wireless communications;design a fully automated safety and security system for swimming pools;control system compensator design using root locus approach;design and analysis of ultra-wideband Koch fractal microstrip patch antenna;hardware/software co-acceleration of progressive learning under feature dimension variation;machine learning classification algorithms for sentiment analysis in Arabic: performance evaluation and comparison;subject authentication using textural features of recurrence plot;and speech denoising with maximal overlap discrete wavelet transform.

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Towards an Intelligence system to support Diseases' Diagnoses and improve Health treatments 20

Towards an Intelligence system to support Diseases' Diagnose...

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IEEE Intl Conf on Dependable, Autonomic and Secure computing, Intl Conf on Pervasive Intelligence and computing, Intl Conf on Cloud and Big Data computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)

作者： Di Martino, Beniamino Esposito, Antonio Pezzullo, Gennaro Junior Univ Campania Luigi Vanvitelli Dept Engn Caserta Italy Consorzio Interuniv Nazl Informat Rome Italy Asia Univ Dept Comp Sci & Informat Engn Taichung Taiwan Univ Vienna Dept Comp Sci Vienna Austria

ISBN: (数字)9781665462976

ISBN: (纸本)9781665462976

E-health is becoming more and more a reality, thanks to the increase of IoT health devices and to the availability of new technologies, algorithms and software, such as Semantics, machine and Deep learning. Systems are being developed to support doctors in making diagnoses, starting from data collected from sensors directly connected to the patients. This paper describes the preliminary steps towards the realisation of a platform for specialised doctors, capable of supporting diagnosis, by analysing the patients' symptoms, seen as an input to the system, and to recognise the possible diseases. In particular, we start by analysing semantic technologies as a means to describe sensors' outputs and to define rules that determine the diagnosis. To this end it is necessary to create or identify a support ontology used to describe the patients' symptoms, and then to define rules to identify the correct disease, in order to build a rule based expert system. In particular, this paper focuses on the identification and eventual modifications applied to existing disease ontologies.

关键词： Deep learning Software algorithms Medical services Ontologies Software Sensor systems Sensors

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Proceedings of the 32nd conference of Open Innovations Association FRUCT, FRUCT 2022

Proceedings of the 32nd Conference of Open Innovations Assoc...

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32nd conference of Open Innovations Association FRUCT, FRUCT 2022

ISBN: (纸本)9789526924489

The proceedings contain 36 papers. The topics discussed include: ground level mobile signal prediction using higher altitude UAV measurements and ANN;data and location privacy of smart devices over vehicular cloud computing;classification accuracy comparison between machine learning algorithms and a deep learning algorithm in predicting hand gestures;named entity recognition for Russian judicial rulings text;an event-driven approach to the recognition problem in video surveillance system development;multi-kernel convolutional neural network for wrist pulse signal classification;social network users profiling using machine learning for information security tasks;digital twins of activities: role of information actions;mobile application: for anxiety and cardiovascular depression monitoring using a smartwatch based on cognitive behavioral therapy;driving safe speed estimation based on outside environment vision analysis;and review of immunotherapy classification: application domains, datasets, algorithms and software tools from machine learning perspective.

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Artificial Intelligence in Back-End Semiconductor Manufacturing: A Case Study

Artificial Intelligence in Back-End Semiconductor Manufactur...

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2022 IEEE International conference on Distributed computing and Electrical Circuits and Electronics, ICDCECE 2022

作者： Pheng, Mervyn Sit Kah David, Leo Gertrude Asia Pacific University of Technology & Innovation Kuala Lumpur Malaysia

ISBN: (纸本)9781665483162

The semiconductor manufacturing industry is facing a dynamically growing complexity in the management of production bottlenecks, efficiency of manufacturing equipment and product quality management. In order to maintain the competitiveness in both productivity and sustainable growth, manufacturing organizations are seeing huge opportunities in the application of Artificial Intelligence (AI) as a competitive advantage. To address this approach in a case study, this paper reviews the literature on the application of AI in the manufacturing industry and proposes several AI-based solutions in the subfields of machine learning and computer vision that can be applied to address the challenges faced by a back-end semiconductor manufacturing organization (Company-A). The primary KPI or Key Performance Indicator of this organization is the on-time delivery of manufactured Integrated Circuit (IC) products with high quality at minimized cost. The ideas presented show how Artificial Intelligence can be potentially used to solve problems in the semiconductor manufacturing operations. © 2022 IEEE.

关键词： Industry 4.0

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ICAN 2022 - 3rd International conference on computing, Analytics and Networks - Proceedings

ICAN 2022 - 3rd International Conference on Computing, Analy...

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3rd International conference on computing, Analytics and Networks, ICAN 2022

ISBN: (纸本)9781665499446

The proceedings contain 56 papers. The topics discussed include: labor exploitation investigation using satellite based vessel monitoring systems;predicting sorption behavior in edible bionanocomposite films with machine learning algorithms;detection of different crops types using RapidEye imagery over Fresno, California;quality of service enhancement through novel energy inception aware efficient routing mechanism;an artificial intelligence (ai) based energy efficient and secured virtual machine allocation model in cloud;study on smart security measures in threat and risk assessment;driver drowsiness detection system using deep neural network;energy management strategies of hybrid power system under varying load conditions- an analysis;gray hole attack detection and prevention system in vehicular ad hoc network (VANET);comparative analysis of machine learning and ensemble learning classifiers for Parkinson’s disease detection;logarithmic estimators in small area for estimation of population mean;development of a covid-19 information dashboard to access the health care resources and requirements online;and analysis and comparison of various contrast enhancement techniques.

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2022 2nd International conference on Advances in Electrical, computing, Communication and Sustainable Technologies, ICAECT 2022

2022 2nd International Conference on Advances in Electrical,...

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2nd International conference on Advances in Electrical, computing, Communication and Sustainable Technologies, ICAECT 2022

ISBN: (纸本)9781665411202

The proceedings contain 223 papers. The topics discussed include: a method for waste segregation using convolutional neural networks;ach reference model- a model of architecture to handle advanced cyberattacks;proficient evaluation of visual cryptography using transposition cipher and bit reversal techniques;video captioning based on image captioning as subsidiary content;an enhanced energy efficient protocol for wireless body area network;self-risk assessment model embedded with conversational user interface for selection of health insurance product;a comparison between different kernels of support vector machine to predict cardiovascular diseases using phonocardiogram signal;traffic prediction for intelligent transportation system using machine learning;investigation of new protocol: cyclic shift in aggressive packet combining scheme to combat the error in same bit location;comparison of performance of machine learning algorithms for cervical cancer classification;blackhole attack detection based on trust calculation mechanism in wireless sensor networks;and symmetry-protected topological phase classification using hybrid quantum convolutional neural network with three quantum filters.

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Predicting the Football Players' Market Value Using Neural Network Model: A Data-Driven Approach

Predicting the Football Players' Market Value Using Neural N...

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2022 IEEE International conference on Distributed computing and Electrical Circuits and Electronics, ICDCECE 2022

作者： Steve Arrul, Vinscent Subramanian, Preethi Mafas, Raheem Asia Pacific University of Technology and Innovation Technology Park Malaysia

ISBN: (纸本)9781665483162

The domain of this research is about football business in which the market value of football players was predicted. The researcher designed a neural network model to predict the price of a football player for football clubs utilizing data from FIFA 19. The researcher thoroughly conducted an in-depth research on literature review to understand the inner workings of the neural networks as well as found related works on sports analytics and prediction. On the other hand, this research involved the hyper parameter optimization of the neural network with different activation functions, number neuron and layers, learning rate and its decay and L1 regularization. K-Fold cross validation is carried out to ensure the quality of the neural network. Simultaneous exploration is done to various aspects of neural network training is performed and their evaluation metrics such as mean squared error, R-squared and Root Mean Square are investigated. Lastly, the best performing model is chosen for the final model. The final model achieved a 95 percent accuracy and a 0.037 mean square error. © 2022 IEEE.

关键词： machine learning

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5th International conference on Emerging Technologies in Computer Engineering: Cognitive computing and Intelligent IoT, ICETCE 2022

5th International Conference on Emerging Technologies in Com...

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5th International conference on Emerging Technologies in Computer Engineering: Cognitive computing and Intelligent IoT, ICETCE 2022

ISBN: (纸本)9783031070112

The proceedings contain 60 papers presendted at a virtual meeting. The special focus in this conference is on Emerging Technologies in Computer Engineering: Cognitive computing and Intelligent. The topics include: machine learning Based Rumor Detection on Twitter Data;performance Analysis of machine learning algorithms in Intrusion Detection and Classification;fruit Classification Using Deep Convolutional Neural Network and Transfer learning;assessment of Network Intrusion Detection System Based on Shallow and Deep learning Approaches;an Efficient Classifier Model for Opinion Mining to Analyze Drugs Satisfaction Among Patients;a Case Study on machine learning Techniques for Plant Disease Identification;detection of Network Intrusion Using machine learning Technique;scrutinization of Urdu Handwritten Text Recognition with machine learning Approach;a machine learning Approach for Multiclass Sentiment Analysis of Twitter Data: A Review;efficacy of Online Event Detection with Contextual and Structural Biases;analysis of Text Classification Using machine learning and Deep learning;evaluation of Fairness in Recommender Systems: A Review;detection of Liver Disease Using machine learning Techniques: A Systematic Survey;Association Rule Chains (ARC): A Novel Data Mining Technique for Profiling and Analysis of Terrorist Attacks;classification of Homogeneous and Non Homogeneous Single Image Dehazing Techniques;comparative Study to Analyse the Effect of Speaker’s Voice on the Compressive Sensing Based Speech Compression;Employing an Improved Loss Sensitivity Factor Approach for Optimal DG Allocation at Different Penetration Level Using ETAP;a Method for Data Compression and Personal Information Suppressing in Columnar Databases;the Impact and Challenges of Covid-19 Pandemic on E-learning;identification of Dysgraphia: A Comparative Review;blockchain Framework for Agro Financing of Farmers in South India.

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