International Conference on Information and Knowledge Technology

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A Novel Approach to Data mining algorithms and IoT based data mining machine learning

Authors :

Danial Ramezani¹ Seyed Hossein Siadat²

1- دانشگاه آزاد اسلامی واحد قزوین 2- دانشگاه خوارزمی

Keywords :

health system،machine learning،IoT based data mining

Abstract :

With the rapid expansion of health facilities and technologies, the IoT-based data mining model strengthens the connection between machines and allows for remote monitoring to take place in the health care system. In the present research, the aim is to create and propose a new data mining method and a medical system to provide medical services with high speed and more accuracy in IoT-based data mining to achieve the goal. Separating the definitive data index from the health system has improved their current position. In the case of explicit and distributed EFD (Explore Fixed Data) data, we directly analyze the current meanings of the health system data field by implementing BAYESSTORE data model algorithms and comparing them with other similar ones. Although health system structures and correlations in data as objects are searched by applications, they can be effectively modeled and manipulated using C# Python tools and the GRADIO library

List of archived papers

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A Demand Response Schema in Industry: Smart Scheduling Approach for Industrial Processes

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چارچوب پیش‌بینی خرابی تطبیقی مبتنی بر شبکه عصبی گراف پویا و GRU در سامانه‌های صنعتی IIoT

رسول اسماعیلی فرد - لیلا رنجبر

Attention-Enhanced Ensemble Learning for Automated Stenosis Detection in X-ray Coronary Angiography Videos

Marzieh Sadat Hosseini - Ahmad R. Naghsh-Nilchi - Mehran Safayani - Masoumeh Sadeghi

Improving Training Stability in Variational Autoencoders Through the Integration of Score Matching Loss

Amirreza Mokhtari Rad - Pouya Ardehkhani - Hormehr Alborzi

استفاده از هوش مصنوعی در فضای آموزش عالی: آن روی سکه

محمدمتین لیث صفار - عسل آغاز

ارائه مدل یادگیری ماشین برای پیش‌بینی سری‌زمانی باینری از دیدگاه مسئله‌های دسته‌بندی با کاربرد در پیش‌بینی نت‌های موسیقی

نیلوفر ع��دلخانی - حسام عمرانپور

Improving Personalized Federated Learning-based QoE Assessment using Clustering

Skokufe Motaharipour - Behrouz Shahgholi Ghahfarokhi - Saeid Afshari

Energy–Aware Clustering Routing Protocol to Improve the Multi-hop WSN Lifetime

Alireza Gholamrezaee - Hoda Gholamrezaee - Mahtab Hadiyan

Integrating Wasserstein GANs for High-Speed Transformer-Based Neural Machine Translation

Parisa Nekoogol - Mostafa Salehi

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