Retraction: Instance Level Human Parts Detection Using Artificial Neural Networks and Deep Learning (J. Phys.: Conf. Ser. 1916 012065)

نویسندگان

چکیده

This article (and all articles in the proceedings volume relating to same conference) has been retracted by IOP Publishing following an extensive investigation line with COPE guidelines. uncovered evidence of systematic manipulation publication process and considerable citation manipulation. respectfully requests that readers consider work within this potentially unreliable, as not through a credible peer review process. regrets our usual quality checks did identify these issues before publication, have since put additional measures place try prevent from reoccurring. wishes credit anonymous whistleblowers Problematic Paper Screener [1] for bringing some above attention, prompting us investigate further. Cabanac G, Labbé C Magazinov A 2021 arXiv: 2107.06751v1 Retraction published: 23 February 2022

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

scour modeling piles of kambuzia industrial city bridge using hec-ras and artificial neural network

today, scouring is one of the important topics in the river and coastal engineering so that the most destruction in the bridges is occurred due to this phenomenon. whereas the bridges are assumed as the most important connecting structures in the communications roads in the country and their importance is doubled while floodwater, thus exact design and maintenance thereof is very crucial. f...

Recognizing shipbuilding parts using artificial neural networks and Fourier descriptors

A pattern recognition system is described for recognizing shipbuilding parts using artificial neural networks and Fourier descriptors. The system uses shape contour information that is invariant of size, translation, and rotation. Fourier descriptors provide information, and the neural networks make decisions about the shapes. A brief review of the current state of the art is included, and resu...

متن کامل

Glucose Level Prediction Using Artificial Neural Networks

The advanced treatment of the type I diabetes mellitus through closed-loop systems, such as artificial pancreas is one of today’s greatest challenges. In this work the authors have tried to develop a predictive method which can be incorporated in an optimal system for blood glucose-insulin regulation. Using the neural network approach it is possible to compose a prediction model, very useful to...

متن کامل

Forecasting groundwater level using artificial neural networks

P. D. Sreekanth*, N. Geethanjali, P. D. Sreedevi, Shakeel Ahmed, N. Ravi Kumar and P. D. Kamala Jayanthi National Research Centre for Cashew, Puttur 574 202, India Sri Krishnadevaraya University, Anantapur 515 003, India National Geophysical Research Institute, Hyderabad 500 007, India Central Plantation Crops Research Institute, Kasaragod 671 124, India Indian Institute of Horticulture Researc...

متن کامل

rodbar dam slope stability analysis using neural networks

در این تحقیق شبکه عصبی مصنوعی برای پیش بینی مقادیر ضریب اطمینان و فاکتور ایمنی بحرانی سدهای خاکی ناهمگن ضمن در نظر گرفتن تاثیر نیروی اینرسی زلزله ارائه شده است. ورودی های مدل شامل ارتفاع سد و زاویه شیب بالا دست، ضریب زلزله، ارتفاع آب، پارامترهای مقاومتی هسته و پوسته و خروجی های آن شامل ضریب اطمینان می شود. مهمترین پارامتر مورد نظر در تحلیل پایداری شیب، بدست آوردن فاکتور ایمنی است. در این تحقیق ...

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Physics: Conference Series

سال: 2021

ISSN: ['1742-6588', '1742-6596']

DOI: https://doi.org/10.1088/1742-6596/1916/1/012305