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检索条件"任意字段=3rd International Conference on Machine Learning and Computer Application, ICMLCA 2022"

共 1866 条记录，以下是231-240 订阅

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An adaptive Medical Cyber-Physical System for post diagnosis patient care using cloud computing and machine learning approach 3

An adaptive Medical Cyber-Physical System for post diagnosis...

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3rd international conference for Emerging Technology, INCET 2022

作者： Miah, M. Saef Ullah Sarwar, Talha Bin Islam, Saima Sharleen Haque, Md. Samiul Masuduzzaman, Md. Bhowmik, Abhijit Universiti Malaysia Pahang Faculty of Computing Pekan Malaysia Department of Computer Science Dhaka Bangladesh University of Dhaka Institute of Information Technology Dhaka Bangladesh Kumoh National Institute of Technology Department of It Convergence Engineering Gumi Korea Republic of

ISBN: (纸本)9781665494991

Medical care is one of the most basic human needs. Due to the global shortage of doctors, nurses, and other healthcare personnel, medical cyber-physical systems are quickly becoming a viable option. Post-diagnosis surveillance is an essential application of these systems, which can be performed more successfully using various monitoring devices rather than active observation by nurses in their physical presence. However, most existing solutions for this application are rigid and do not consider current difficulties. Intelligent and adaptive systems can overcome the challenges because of the advances in relevant technology, especially healthcare 4.0. Therefore, this work presents an adaptive system based on cloud and edge computing architecture and machine learning approaches to perform post-diagnosis medical tasks on patients, thus reducing the need for nurses, especially in the post-diagnosis phase. © 2022 IEEE.

关键词： Cyber Physical System

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A Study of Various Word Embeddings in Deep learning 3

A Study of Various Word Embeddings in Deep Learning

引用

3rd international conference for Emerging Technology, INCET 2022

作者： Shah, Parth Shah, Smit Joshi, Saurav K.J. Somaiya College of Engineering Computer Engineering Mumbai India

ISBN: (纸本)9781665494991

With the number of users and reviews rising on the internet, and the liberty was given to post anything on it, it is still a major issue to identify the sentiment of the reviews. The traditional machine learning models are taking a lot of computational time to get desired results. The advancement in the field of deep learning has left people wondering whether it would provide better results for such applications. Word Embeddings play a huge role in the classification of text, as they represent similar meaning documents with equivalent representation. The result of the deep learning model trained on a particular set of data depends upon the sort of word embedding used. In this work, we intend to present a study of various embeddings like GloVe, BERT, Word2vec, and Fast-text using a proposed model. The research was conducted on the IMDB movie review dataset and the result displayed that GloVe embeddings produced the best result with an accuracy of 87.936 % on our proposed model. © 2022 IEEE.

关键词： Embeddings

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Personalized Federated learning with Data Heterogeneity Constraints 3

Personalized Federated Learning with Data Heterogeneity Cons...

引用

3rd international conference on computer Science and Management Technology, ICCSMT 2022

作者： Lin, Junke Wu, Xiangjun Henan University School of Computer and Information Engineering Kaifeng China Henan University School of Software Kaifeng China

ISBN: (纸本)9798350320404

Federated learning, a new distributed, edge-device based machine learning paradigm that does not require the collection of raw data from the client and has a significant privacy protection effect. However, since the data distribution of each client is Noniid, it will lead to the degradation of the model performance. We propose a new personalization federated learning approach to alleviate this problem that uses base layer and personalization layer, In addition, we add a restriction that we use the degree of Noniid (DoN) to constrain the personalization layer training. The larger the DoN, the more we allow the local model personalization layer to deviate from the global model personalization layer. Further, we have experimentally demonstrated that our method is superior to the federated averaging algorithm. © 2022 IEEE.

关键词： learning systems

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CIBDA 2022 - 3rd international conference on computer Information and Big Data applications

CIBDA 2022 - 3rd International Conference on Computer Inform...

引用

2022 3rd international conference on computer Information and Big Data applications, CIBDA 2022

ISBN: (纸本)9783800758760

The proceedings contain 244 papers. The topics discussed include: a proposed Siamese convolutional neural network for fingerprint recognition;research of early warning of corporate financial crisis based on machine learning neural network;corporate influence analysis by integrating social network models;research named entity recognition based on transfer learning;classification of complex network based on improved hierarchical model;handwritten character recognition based on convolution neural network models;back propagation neural network based stroke prediction;design of a network storage system based on peer-to-peer network with supernode;hybrid Weibo tags and topic mining for user similarity model;stability analysis of power grid based on generative adversarial network;convolutional neural network for English character recognition;build a precision marketing prediction model for intelligent recommendation technology;application of text mining technology in power data prediction;research on used car transaction price and transaction cycle based on model fusion;and underwater wireless sensor networks trustworthiness evaluation using Monte Carlo simulation.

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Predicting Crop on the basis of Climatic Parameters using machine learning Approaches 3

Predicting Crop on the basis of Climatic Parameters using Ma...

引用

3rd IEEE international conference on Computing, Communication, and Intelligent Systems, ICCCIS 2022

作者： Negi, Harendra Singh Dimri, Sushil Chandra Kumar, Bhawnesh Dobhal, Dinesh C. Graphic Era Deemed to Be University Department of Computer Science and Engineering Dehradun India

ISBN: (纸本)9781665462006

India as a country is largely dependent on agriculture. New techniques are being implemented by government and farmers for increasing crop production and crop yield. AI and machine learning are most popular technologies that are being used by government and big private firms for predictions in various sectors like agriculture, healthcare, auto mobile etc. The yield is dependent on factors like weather, fertilizer, pesticide, soil and rain. This article discusses about implementation of machine learning models in agriculture where we are predicting crop that is suitable for the soil at a particular place keeping in mind nutrients and weather of that place. This work will help farmers who are new and will guide them for showing crops by the help of machine learning, which is most advanced technologies to predicates the crop for future forecasting. © 2022 IEEE.

关键词： machine learning

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A Survey on Precision agriculture using machine learning 3

A Survey on Precision agriculture using Machine Learning

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3rd international conference on Power, Energy, Control and Transmission Systems, ICPECTS 2022

作者： Prabhu, D. Dilip, Golda SRM Institute of Science and Technology Faculty of Engineering and Technology Department of Computer Science and Engineering Vadapalani Campus Chennai India

ISBN: (纸本)9781665462754

In modern farming fidelity permits the precise application of information sources, such as toxicant, seed, manure, and effluent, at the precise moment of harvest in order to increase productivity and crop yields. Ranchers may readily determine the crops' range by tracking them using sensors that are collected from the fields, protecting the resources being used and reducing the impact of weeds on the environment. Most Indian ranchers use standard cultivating techniques to determine the crop yield that should be developed in order. In any event, the ranchers don't sacrifice crop productivity because it depends on the characteristics of the soil due to abiotic variables. This research suggestsa yield recommendation apparatus that encourages ranchers to select the appropriate crop to plant in their lands in this manner. selecting information about systems by machine. © 2022 IEEE.

关键词： Crops

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Federated learning with Blockchain: A Study of the Latest Decentralized Couple 3

Federated Learning with Blockchain: A Study of the Latest De...

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3rd IEEE international conference on Computing, Communication, and Intelligent Systems, ICCCIS 2022

作者： Faridi, Arman Rasool Hafeez, Aiman Masood, Faraz Aligarh Muslim University Department of Computer Science Aligarh India

ISBN: (纸本)9781665462006

Federated learning is a method for machine learning that avoids the need to move data by training an algorithm in parallel on a large number of edge devices or servers that hold copies of the training data in their own memory. Conventional decentralized approaches often assume that local data samples are equally distributed, whereas typical centralized machine learning techniques involve uploading all local datasets to a single server. Federated learning has flaws like privacy and insufficient data. Blockchain's rise offers a safe and effective method for Federated learning implementation. In this paper, the collaboration of Federated learning and blockchain is discussed. Then the possible applications that can be developed using federated learning and blockchain are discussed. Furthermore, the challenges and opportunities for collaboration between these technologies are explained. © 2022 IEEE.

关键词： Blockchain

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Diabetic retinopathy detection using a pretrained machine learning model 3

Diabetic retinopathy detection using a pretrained machine le...

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3rd IEEE international conference on Electronics, Control, Optimization and computer Science, ICECOCS 2022

作者： Sbai, Asma Touil, Abdelali Oukhouya, Lamya Cady Ayyad University Laboratory of Bioscience and Health Faculty of Medecine and Pharmacy of Marrakech Marrakech Morocco Faculty of Sciences Ibn Zohr University Laboratory of Engineering Sciences Agadir Morocco Ibn Zohr University Laboratory LIMA ENSA Agadir Agadir Morocco

ISBN: (数字)9781665457231

ISBN: (纸本)9781665457231

One of the possible side effects of diabetes is Diabetic Retinopathy. Early diagnosis of diabetic retinopathy is an important step toward healing and can prevent many patients from potential blindness. To identify diabetic retinopathy, practitioners may need an artificial intelligence tool to provide a second opinion to confirm or refute a diagnosis. In this article we use a pretrained machine learning model to find a solution to the issue of low-quality inputs by implementing, in the pre-processing step, the technique of Contrast Limited Adaptive Histogram Equalization to extract more features especially the blood vessels. © 2022 IEEE.

关键词： computer aided diagnosis

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An Extensive Study of Cervical Cancer Detection Methods Using machine and Deep learning Approaches 3

An Extensive Study of Cervical Cancer Detection Methods Usin...

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3rd international conference on Power, Energy, Control and Transmission Systems, ICPECTS 2022

作者： Francis, Divya Chitra, R. Kasthuri, Rengan.P Sri, Vignesh.G PSNA College of Engineering and Technology Department of Electronics and Communication India Sri Sai Ram Engineering College Department of Electronics and Communication India K. Ramakrishnan College of Engineering Department of Computer Science and Engineering India

ISBN: (纸本)9781665462754

In this work, various computer-aided methods for cervical cancer screening are examined in-depth with examples. The cervical cancer can be detected using either cervical images or Pap smear cells images. Both are important to detect the cervical cancers in women patients. The several machine learning and deep learning models for detecting cervical cancer in Pap smear cell images as well as cervical images are covered in detail. The simulation study is used to evaluate the benefits and drawbacks of each cervical cancer screening method. © 2022 IEEE.

关键词： Diseases

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machine learning-Based Digital Twin for Monitoring Fruit Quality Evolution 3

Machine Learning-Based Digital Twin for Monitoring Fruit Qua...

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3rd international conference on Industry 4.0 and Smart Manufacturing (ISM)

作者： Melesse, Tsega Y. Bollo, Matteo Di Pasquale, Valentina Centro, Francesco Riemma, Stefano Univ Salerno Dept Ind Engn Via G Paolo II Fisciano SA Italy SAP Italia SpA Via Amsterdam 125 I-00144 Rome Italy

A technological gap to monitor fruit quality evolution in the food supply chain is causing a huge waste of fruits. A digital twin is a promising tool to minimize fruit waste by monitoring and predicting the status of fresh produce throughout its life. In post-harvest engineering, the digital twin could be defined as a virtual representation of real produce. The objective of this work is to present a new approach to create a machine learning-based digital twin of banana fruit to monitor its quality changes throughout storage. The thermal camera has been used as a data acquisition tool due to its capability to detect the surface and physiological changes of fruits throughout the storage. In this study, after constructing the dataset of thermal data belonging to four classes, the training of the model has been performed using intelligent technologies from SAP. The solution has applied a deep convolutional neural network to monitor the fruit status based on the thermal information, and the training process has shown higher accuracy. Thus, 99% of prediction accuracy has been achieved which is proved to be a promising technique for the development of fruit digital twins. The application of thermal imaging techniques can be used as a data source to create a machine learning-based digital twin of fruit that can minimize waste in the food supply chain. (C) 2022 The Authors. Published by Elsevier B.V.

关键词： digital twin thermal images machine learning image classification food waste

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