0% Complete
English
صفحه اصلی
/
سیزدهمین کنفرانس بین المللی فناوری اطلاعات و دانش
A Novel Approach to Data mining algorithms and IoT based data mining machine learning
نویسندگان :
Danial Ramezani
1
Seyed Hossein Siadat
2
1- دانشگاه آزاد اسلامی واحد قزوین
2- دانشگاه خوارزمی
کلمات کلیدی :
health system،machine learning،IoT based data mining
چکیده :
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
لیست مقالات
لیست مقالات بایگانی شده
Analysing effect of news polarity on stock market prediction: a machine learning approach
Golshid Ranjbaran - Dr Mohammad-Shahram Moin - Dr Sasan H Alizadeh - Dr Abbas Koochari
A Comparison between Slimed Network and Pruned Network for Head Pose Estimation
Amir Salimiparsa - Hadi Veisi - Mohammad-shahram Moin
پیشبینی حجم ترافیک شهری با استفاده از دادههای سرویس نشان مورد مطالعاتی: خیابان کمال اصفهان
مهسا لطیفی - جمشید مالکی
STANet: Spatio-Temporal Attention-Enhanced WaveNet for Crime Hotspot Prediction
Rojan Roshankar - Mohammad Reza Keyvanpour
A Novel Resource Allocation Scheme for Underlaying NOMA-Based Multi-Channel Cognitive D2D Communications
Anahita Akbari - Dr Javad Zeraatkar Moghaddam - Dr Mehrdad Ardebilipour
A Comparative Evaluation of Machine Learning Models for Anomaly-Based IDS in IoT Networks
Seyed Amir Mousavi - Mostafa Sadeghi - Mohammad Sadeq Sirjani
Evaluating LLMs in Persian News Summarization
Arya VarastehNezhad - Reza Tavasoli - Mostafa Masumi - Seyed Soroush Majd - Mehrnoush Shamsfard
PC-MCLD: Pose-Constrained and Multi-focal Conditioned Latent Diffusion for Person Image Synthesis
Hanieh Fazli - Reza Azmi
Revolutionizing Credit Scoring: The Synergy of Mamba State Space and CNN Models
Behnam Sabzalian
A hybrid CNN–transformer framework for retinal disease classification
Hanie Zomorrodi - Hassan Khotanlou
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 44.5.0