Mahsa Mitcheff

• PhD of computer science at University of Notre Dame
• Research Assistant at University of Notre Dame

In this paper, a multi-objective mixed integer nonlinear programming model is proposed to solve the supplier order allocation problem. We investigated a problem where a single buyer orders multiple products from multiple suppliers in multiple periods. The model takes into account the linear discount pricing scheme, the suppliers' capacity limits, t...

In this research, the supplier order allocation problem is investigated. The problem is when one buyer wants to allocate required products to pre-selected suppliers. Allocation is considered under some constraints, such as capacity, delivery rate, linear discount and volume discount. Objectives of the model are towards maximizing the total value of...

Human activity recognition aims to determine which activity is performed by individuals. It has plenty of real-world applications such as health monitoring and abnormal behaviour detection. Therefore, this study focuses on distinguishing and classifying human activities by applying statistical features and using stacking learning methods with the a...

The electroencephalography (EEG) sensor has become a prominent sensor in the study of brain activity. Its applications extend from research studies to medical applications. This review paper explores various types of EEG sensors and their applications. This paper is for an audience that comprises engineers, scientists and clinicians who are interes...

Background: Dementia, a significant cognitive impairment, is characterized by a decline in memory. It affects an individual’s mood and behavior, which can impair their quality of life and well-being. Studies show that the demand for applying music as a new therapy method for dementia has increased during the last decades. Objective: To review the s...

Dementia is a prevalent age-related disease that affects an individual's quality of life. Cognitive decline is the most common symptom of dementia that consequently causes problems with memory, language, and apathy, communication, thinking ability, difficulty in problem-solving and doing their daily living activities independently. In recent years,...

The purpose of this study is to monitor changes in healthy individuals’ physiological and psychological responses to listening to nursery rhymes. Heart rate variability and skin conductance are physiological data that measure an Individual’s arousal response. Individuals were exposed to the nursery rhymes, and an electrodermal activity (EDA) wristb...

As per the World Population prospects (19th revision), in 2019 every 11th person (11% of the population) was aged 65 or older and by 2050 every 6th person (16% of the world population) will be aged 65 or older. This rapid growth in people aged 65 and above has and will continue to pose some health management concerns, especially in the elderly with...

The purpose of this study is to monitor changes in healthy individuals’ physiological and psychological responses to listening to nursery rhymes. Heart rate variability and skin conductance are physiological data that measure an Individual’s arousal response. Individuals were exposed to the nursery rhymes, and an electrodermal activity (EDA) wristb...

Human activity recognition aims to determine which activity is performed by individuals. It has plenty of real-world applications such as health monitoring and abnormal behaviour detection. Therefore, this study focuses on distinguishing and classifying human activities by applying statistical features and using stacking learning methods with the a...

Human Activity Recognition, as one of the growing fields of research, aims to identify which activity is done by individuals by tracking their activities. It has plenty of real-world applications such as health monitoring, abnormal behavior detection, and fitness supporting. Therefore, this study focuses on mobile phone data to distinguish and clas...