هدی مشایخی
استادیار/ دانشگاه صنعتی شاهرود
[ 1 ] - استفاده از الگوریتم‌های داده‌کاوی برای تحلیل سودمندی دوربین‌های راهنمایی و رانندگی
مجمع عمومی سازمان ملل متحد، دهه 2011 تا 2020 میلادی را به عنوان دهه کاهش تلفات جاده‌ای معرفی کرد. این سازمان در طی قطعنامه های مختلفی از تمام کشورها خواسته است نسبت به کاهش تصادفات جاده‌ای توجه خاصی نمایند. عامل سرعت نقش کلیدی در کاهش ریسک تصادفات جاده‌ای دارد. یکی از عوامل بازدارنگی سرعت غیرمجاز خودروها، دوربین‌های ثبت تخلف پلیس راهور ناجا می‌باشد. در سال‌های اخیر استفاده از این دوربین‌ها به م...
[ 2 ] - A topology control algorithm for autonomous underwater robots in three-dimensional space using PSO
Recently, data collection from seabed by means of underwater wireless sensor networks (UWSN) has attracted considerable attention. Autonomous underwater vehicles (AUVs) are increasingly used as UWSNs in underwater missions. Events and environmental parameters in underwater regions have a stochastic nature. The target area must be covered by sensors to observe and report events. A ‘topology cont...
[ 3 ] - یک مدل موضوعی احتمالاتی مبتنی بر روابط محلّی واژگان در پنجره‌های هم‌پوشان
A probabilistic topic model assumes that documents are generated through a process involving topics and then tries to reverse this process, given the documents and extract topics. A topic is usually assumed to be a distribution over words. LDA is one of the first and most popular topic models introduced so far. In the document generation process assumed by LDA, each document is a distribution o...
[ 4 ] - Detecting Concept Drift in Data Stream Using Semi-Supervised Classification
Data stream is a sequence of data generated from various information sources at a high speed and high volume. Classifying data streams faces the three challenges of unlimited length, online processing, and concept drift. In related research, to meet the challenge of unlimited stream length, commonly the stream is divided into fixed size windows or gradual forgetting is used. Concept drift refer...
[ 5 ] - Reinforcement learning based feedback control of tumor growth by limiting maximum chemo-drug dose using fuzzy logic
In this paper, a model-free reinforcement learning-based controller is designed to extract a treatment protocol because the design of a model-based controller is complex due to the highly nonlinear dynamics of cancer. The Q-learning algorithm is used to develop an optimal controller for cancer chemotherapy drug dosing. In the Q-learning algorithm, each entry of the Q-table is updated using data...
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