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检索条件"任意字段=5th International Conference on Data Science, Machine Learning and Applications, ICDSMLA 2023"

共 2608 条记录，以下是91-100 订阅

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PCOS Detection Using CNN and ML Algorithms 5th

PCOS Detection Using CNN and ML Algorithms

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5th international conference on data science, machine learning and applications, icdsmla 2023

作者： Roja, G. Spandana, B. Divya, N. Anusha, R. Pushpa Rani, K. Narayanamma Institute of Technology and Science Telangana Hyderabad India Department of CSE G. Narayanamma Institute of Technology and Science Telangana Hyderabad India Narayanamma Institute of Technology and Science Telangana Hyderabad India Department of CSE MLR Institute of Technology and Science Telangana Hyderabad India

ISBN: (纸本)9789819780426

Polycystic Ovarian Syndrome (PCOS) is a complicated menstrual sickness that affects a wide range of women of procreative lifetime. Its miles connected with a combination of signs, including abnormal menstrual cycles, hormonal imbalances, and the presence of more than one cyst on the ovaries. the current methods for diagnosing PCOS involve a comprehensive evaluation that includes medical history assessment, physical examinations, and laboratory tests. However, these approaches have limitations. they can be time-consuming, relying on the subjective judgment and expertise of healthcare professionals. In light of these challenges, there is a growing need for more advanced and efficient methods of diagnosing PCOS. By utilizing machine learning algorithms and computer vision techniques, such a system can provide an objective and reliable approach to identify PCOS based on ultrasound images. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Diagnosis

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A Novel and Efficient machine learning Technique for Cleaning Q-Messy data 5th

A Novel and Efficient Machine Learning Technique for Cleanin...

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5th international conference on data science, machine learning and applications, icdsmla 2023

作者： Saradhi, K. Davanam, Ganesh Malchi, Sunil Kumar School of Commerce and Management Mohan Babu University Tirupati India Andhra Pradesh Tirupati India

ISBN: (纸本)9789819780426

In the era of big data, organizations and researchers face numerous challenges when dealing with large, complex datasets. data cleaning, visualization, and machine learning (ML) models play crucial roles in extracting valuable insights from raw data. this abstract provides a concise overview of these three interrelated areas, highlighting their significance in data analysis and decision-making processes. Various techniques and methodologies are explored, including outlier detection, missing value imputation, and noise reduction. the importance of data quality and its impact on subsequent analysis is emphasized, along with practical considerations for implementing effective data cleaning processes. data visualization techniques, such as charts, graphs, and interactive dashboards, are discussed in detail. the abstract explores the principles of effective visualization design, including the selection of appropriate visual encodings, color schemes, and interactivity. the benefits of visualizing data for exploratory analysis and conveying insights to stakeholders are emphasized. the abstract highlights the importance of feature engineering, model selection, and evaluation metrics in building accurate and robust ML models. Furthermore, the significance of interpretability, fairness, and ethical considerations in ML model deployment is discussed. throughout the abstract, key considerations and best practices are provided to guide practitioners and researchers in implementing effective data cleaning, visualization, and ML model development processes. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Predictive analytics

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Generative Adversarial Transfer learning for Retinal Image Segmentation 5th

Generative Adversarial Transfer Learning for Retinal Image S...

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5th international conference on data science, machine learning and applications, icdsmla 2023

作者： Yadav, Sanjay Kumar Preethi, D. Acharjya, Kalyan Lora, Chandra Prakash Uttar Pradesh Noida India Department of Computer Science and Information Technology Jain University Karnataka Bangalore India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh Lucknow India Department of Chemistry Vivekananda Global University Jaipur India

ISBN: (纸本)9789819780426

Adversarial switch mastering for surgical device Segmentation in Endoscopic pix is a shape of system learning that uses Generative adversarial Networks (GANs) to apprehend and segment surgical contraptions in endoscopic images. the GAN consists of networks, a generator, and a discriminator, competing in opposition to each other. the discriminator is tasked with robotically distinguishing between a real photo and a generated image from the generator. the generator is responsible for generating pix that may idiot the discriminator. Using this competition among the networks, the GAN can study from the endoscopic photographs and section the surgical units, permitting the device to understand and distinguish various devices. this method may enhance the accuracy of endoscopic photograph segmentation, enabling greater specific and green surgical processes. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Generative adversarial networks

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Categories of Cyber Crimes, Case Study and Security 5th

Categories of Cyber Crimes, Case Study and Security

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5th international conference on data science, machine learning and applications, icdsmla 2023

作者： Vandana, D. Neeraja, Duddyal Department of IT G. Narayanamma Institute of Technology and Science Telangana Hyderabad India

ISBN: (纸本)9789819780426

the widespread adoption of the Internet has revolutionized global communication. However, it has also led to a rise in cybercrime, commonly known as e-crimes, posing significant challenges to modern society. Illegitimate means of acquiring wealth and monetary gains through cyber attacks have become prevalent, with criminals targeting servers to steal valuable information or engage in fraudulent activities. Users of social networking platforms have increasingly become victims of various types of attacks, including technical assistance scams and impersonation scams, such as those involving the Internal Revenue Service (IRS), intended to profit from people's trust in order to make money. this article gives a comprehensive assessment of the recognised global cyber threats. thus far, along with effective countermeasures to mitigate their impact. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Cyber attacks

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Detecting Electromagnetic Vulnerabilities in Networking Topologies 5th

Detecting Electromagnetic Vulnerabilities in Networking Topo...

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5th international conference on data science, machine learning and applications, icdsmla 2023

作者： Preethi, D. Verma, Upendra K. Arumugam, Jayachandran Alam, Intekhab Karnataka Bengaluru India Department of Computer Science and Engineering School of Engineering and Computing Dev Bhoomi Uttarakhand University Dehradun India School of Computer Science and Engineering Presidency University Karnataka Bengaluru India Maharishi School of Engineering and Technology Maharishi University of Information Technology Uttar Pradesh Lucknow India

ISBN: (纸本)9789819780426

this paper describes a technique of detecting electromagnetic vulnerabilities in networking topologies, consisting of Wi-Fi communications. A green approach is offered which entails the mixture of electromagnetic measurements from multiple antennae, and the utility of parameterization, optimization and clustering algorithms. Effects are generated to offer a complete breakdown of the electromagnetic residences of a community topology, permitting identity of weaknesses or regions of vulnerability. the resulting vulnerabilities may be used to guide layout changes, or as a first indicator of potential security problems. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Topology

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Estimating Chlorophyll Content of Vegetation in Hyper Spectral Surface Images 5th

Estimating Chlorophyll Content of Vegetation in Hyper Spectr...

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5th international conference on data science, machine learning and applications, icdsmla 2023

作者： Kannagi, A. Adhikari, Manoj S. Manjula, H.M. Agarwal, Trapty Karnataka Bangalore India Department of Computer Science and Engineering School of Engineering and Computing Dev Bhoomi Uttarakhand University Navgaon Manduwala Dehradun India School of Computer Science and Engineering Presidency University Karnataka Bengaluru India Maharishi School of Engineering and Technology Maharishi University of Information Technology Uttar Pradesh Lucknow India

ISBN: (纸本)9789819780426

the Estimating Chlorophyll content material of vegetation in Hyper Spectral floor photos aims to create an automatic approach to accurately degree the concentration of chlorophyll in plant life using hyperspectral floor pix. this studies makes use of spectral evaluation and feature extraction techniques, mixed with machine studying techniques, to discover and quantify the awareness of chlorophyll from photosynthetic plants. the experimental results show that the approach has an amazing capability to discover plant life chlorophyll concentrations. this approach has correct accuracy and is beneficial inside the subject of precision agriculture for tracking the fertilizer software and nutrient imbalance of crop. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Concentrations Evaluation Photosynthetic

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Semantic Enrichment of Textual data through Knowledge Extraction 5th

Semantic Enrichment of Textual Data Through Knowledge Extrac...

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5th international conference on data science, machine learning and applications, icdsmla 2023

作者： Nanda Devi, D.R. Kasu, Harshitha Line, Meghana Roshni, N. Shreya, P. G. Narayanamma Institute of Technology and Science Telangana Hyderabad India

ISBN: (纸本)9789819780426

A vast web of information i.e. Knowledge forms the backbone of intelligent systems. Unstructured data poses challenges in terms of information retrieval, scalability and semantic ambiguity. Possible solutions for many tasks including question answering system, recommendation and information retrieval rely on structured information. the existing representations of knowledge are time consuming. Representation of knowledge in the form of a knowledge graph helps to retrieve information along with relations. It helps to represent entities and relations with high reusability, and reliability. this paper focuses on efficient information retrieval through extraction of entities and relations for the construction of a knowledge graph. An efficient representation of knowledge captures information dynamically and keeps re-purposing itself to provide new insights and inferences which is a key to analyze big data. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Knowledge graph

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Applying Reinforcement learning Techniques for Autonomous Spectrum Allocation in 6G Networks 5th

Applying Reinforcement Learning Techniques for Autonomous Sp...

引用

5th international conference on data science, machine learning and applications, icdsmla 2023

作者： Beemkumar, N. Singh, Akhilendra Pratap Bishnoi, Sunita Kumar, Rajesh Karnataka Bangalore India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh Lucknow India Department of Chemistry Vivekananda Global University Jaipur India Department of Physics Noida Institute of Engineering and Technology Uttar Pradesh Greater Noida India

ISBN: (纸本)9789819780426

the use of reinforcement learning for autonomous spectrum allocation in 6G networks is described in this technical abstract. A type of machine learning called reinforcement learning (RL) lets agents learn policies in changing environments. When applied to autonomous spectrum allocation, RL makes it possible to select operating points that are less than optimal, ensuring system stability and increasing energy efficiency. the proposed RL-put together procedures center with respect to joint asset distribution and mental impedance the executives, to advance organization execution. Depending on the size of the spectrum resources shared by multiple users, the channels are dynamically allocated. the proposed calculations are assessed utilizing the two reproductions and genuine world test beds. Subsequently, RL-based independent range assignment can be a proficient way for 6G organizations to arrive at their maximum capacity. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Adversarial machine learning

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Analyzing the Efficiency of Key Management Techniques Used in Information Security Models for Networked applications 5th

Analyzing the Efficiency of Key Management Techniques Used i...

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5th international conference on data science, machine learning and applications, icdsmla 2023

作者： Beemkumar, N. Singh, Vaishali Shree, Ritu Batra, Raman Karnataka Bangalore India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh Lucknow India Department of Computer Science & Application Vivekananda Global University Jaipur India Department of Mechanical Engineering Noida Institute of Engineering and Technology Uttar Pradesh Greater Noida India

ISBN: (纸本)9789819780426

this study aims to investigate the performance of numerous key manipulation strategies utilized in modern statistics protection models. Especially, this painting examines the use of public key infrastructures (PKI), symmetric key infrastructures (SKI), and identity-based totally encryption (IBE) for securing application conversation in networked environments. By way of analyzing the strengths and weaknesses of each gadget, potential improvements are diagnosed. Moreover, a comparison among the unique fashions is done to pinpoint feasible weaknesses and endorse feasible mitigation strategies. the research results will enable the improvement of greater comfortable and green key management structures for networked programs, which can offer effective protection against malicious assaults. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Infrastructures Pinpoint Protection Symmetric Weaknesses

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ICADEIS 2023 - international conference on Advancement in data science, E-learning and Information Systems: data, Intelligent Systems, and the applications for Human Life, Proceeding

ICADEIS 2023 - International Conference on Advancement in Da...

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5th international conference on Advancement in data science, E-learning and Information Systems, ICADEIS 2023

ISBN: (纸本)9798350303414

the proceedings contain 51 papers. the topics discussed include: Alzheimer’s disease detection and classification: an ensemble machine learning paradigm;ontology-based car recommender system using functional requirements interaction;data security: a systematic literature review and critical analysis;development of selection method for additional devices to supporting active monitoring of healthcare asset;implementation of the you only look once (YOLO) V5 method for bird pest detection in rice crops;a comparison of oversampling and undersampling methods in sentiment analysis regarding Indonesia fuel price increase using support vector machine;and human resource application development using person-job matching for placement of prospective employees.

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