Oana Geman

Oana Geman
Stefan cel Mare University of Suceava | USV · Faculty of Electrical Engineering and Computer Sciences

Associate Professor Ph.D.
https://lnkd.in/dKyrJYuq

About

118
Publications
33,859
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1,201
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Publications

Publications (118)
Chapter
In today's world, with societies of information that transmits a growing number of personal data via public channels, the protection of information is a global challenge. It is the technique used to authenticate users among two parties in the public environment, where there are unauthorized users and suspicious activities. Two types of process invo...
Article
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Modalities like MRI give information about organs and highlight diseases. Organ information is visualized in intensities. The segmentation method plays an important role in the identification of the region of interest (ROI). The ROI can be segmented from the image using clustering, features, and region extraction. Segmentation can be performed in s...
Article
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In this research, we proposed a novel 14-layered deep convolutional neural network (14-DCNN) to detect plant leaf diseases using leaf images. A new dataset was created using various open datasets. Data augmentation techniques were used to balance the individual class sizes of the dataset. Three image augmentation techniques were used: basic image m...
Article
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Increasing importance in the field of artificial intelligence has led to huge progress in remote sensing. Deep learning approaches have made tremendous progress in hyperspectral image (HSI) classification. However, the complexity in classifying the HSI data using a common convolutional neural network is still a challenge. Further, the network archi...
Article
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As a result of technology improvements, various features have been collected for heart disease diagnosis. Large data sets have several drawbacks, including limited storage capacity and long access and processing times. For medical therapy, early diagnosis of heart problems is crucial. Disease of heart is a devastating human disease that is quickly...
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Subjects with neurological problems and neurological disorders can be recovered in the dedicated recovery centers and at home. The paper presents a smart writing system that uses dedicated movements to recover specific problems of the hands. The system is based on a smart pen equipped with vibration, acceleration, and gyroscope sensors that give re...
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Parkinson’s disease (PD) is a progressive disorder of the nervous system that affects movement. Early prediction of PD can increase the chances of earlier intervention and delay the onset of the disease. Vocal impairment is one of the most important signs in the early stages of PD. Therefore, PD detection based on speech analysis and vocal patterns...
Patent
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Machine learning based Digital Twin Architecture Model and Communication Interfaces for Cloud based Cyber Physical Systems for Industry 4.0 ABSTRACT Industry 4.0 pertains to technological developments which integrate the mechanical, virtual, and biological realms, affecting all specializations, world economy, and industrial sectors." These innova...
Article
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Sentiment Analysis (SA) is a novel branch of Natural Language Processing (NLP) that measures emotions or attitudes behind a written text. First applications of SA in healthcare were the detection of disease-related emotional polarities in social media. Now it is possible to extract more complex attitudes (rank attitudes from 1 to 5, assign appraisa...
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One of the major issues facing the world is the resource of safe water, which is decreasing rapidly due to climatic changes, contamination, and pollution. The most affected living beings are underwater life forms as they eventually take these toxins in and are thus prone to death, making continuously checking water quality a quintessential task. Bu...
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This paper provides the deep detailed information related to the importance of link-aware energy-efficient communication between sensor nodes working in the health care domain. Today, in the modern field of science and technology, wireless sensor networks are playing a vital role in real-life applications including medicine, health care, and disast...
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COVID-19 is a fatal disease caused by the SARS-CoV-2 virus that has caused around 5.3 Million deaths globally as of December 2021. The detection of this disease is a time taking process that have worsen the situation around the globe, and the disease has been identified as a world pandemic by the WHO. Deep learning-based approaches are being widely...
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One of the deadliest diseases is skin cancer, especially melanoma. The high resemblance between different skin lesions such as melanoma and nevus in the skin colour images increases the complexity of identification and diagnosis. An efficient automated early detection system for skin cancer detection is essential in order to save human lives, time,...
Article
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Radiology is a broad subject that needs more knowledge and understanding of medical science to identify tumors accurately. The need for a tumor detection program, thus, overcomes the lack of qualified radiologists. Using magnetic resonance imaging, biomedical image processing makes it easier to detect and locate brain tumors. In this study, a segme...
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Assessment the quality of medical services is a crucial strategy to identify the strengths and weaknesses providing action-able insights to improve the healthcare services provided to cancer patients. In Libya, the challenge of medical facilities and treatment in healthcare systems of cancer patients is of high importance. This study investigates t...
Chapter
Assistive technology (AT) supports individuals who experience difficulties in carrying out daily life physical activities, for example, people with disabilities, the elderly, and people with chronic diseases, such as diabetes, bone and joint disorders, heart disease, or stroke. Thanks to assistive technologies, these patients can regain their indep...
Article
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The Internet of Vehicles (IoV) is an important idea in developing intelligent transportation systems and self-driving cars. Vehicles with various wireless networking options can communicate both inside and outside the vehicles. IoVs with cognitive radio (CR) enable communication between vehicles in a variety of communication scenarios, increasing t...
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The recent use of digital Distributed Ledger Technology (DLT) in the healthcare domain can surpass the existing limitations in the centralized IT systems, such as the lack of security, access control or immutability of the electronic health information. If we discuss about clinical information, this innovative informatics advance gives back the con...
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Intelligent systems and computational methods in medical and healthcare solutions with their challenges during COVID-19 pandemic This special issue of the Journal of Intelligent Systems focuses on recent advances and improvements in intelligent systems and computational methods in medical and healthcare solutions with their challenges during COVID-...
Chapter
Virtual Reality and Augmented Reality technologies provides new experiences to the users during physical rehabilitation training sessions increasing the engagement for improved physical outcomes. These relatively new technologies are the starting point on the development of new services that can be defined as “Physical Therapy at Home” or “Remote P...
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This study aimed to develop an autonomous design system for recognizing the subject by gait posture. Gait posture is a type of non-verbal communication characteristic of each person, and can be considered a signature used in identification. This system can be used for diagnosis. The system helps aging or disabled subjects to identify incorrect post...
Article
Artificial Intelligence and Machine Learning based Ambient Assisted Living systems play an important role in smart cities by improving the quality of life of the elderly population. Many Ambient Assisted Living systems are coupled with Android Apps for command-and-control purposes. Consequently, the privacy and security of Ambient Assisted Living s...
Article
1  Abstract-The aim of this study to propose a model based on Machine Learning (ML) and Internet of Things (IoT) to diagnose patients with COVID-19 in smart hospitals. In this sense, it was emphasized that by the representation for the role of ML models and IoT relevant technologies in smart hospital environment. The accuracy rate of diagnosis (cl...
Article
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IMPORTANCE Modern health facilities are continually reporting data breaches, which raises the need to understand underlying factors and design mitigation strategies accordingly. OBJECTIVE The objective of this research is to analyze real healthcare data breaches, identify underlying factors, and report the lessons that may help in preventing the fu...
Chapter
Full-text available
Daily millions of images are uploaded and download to the web, as a result the data is available in the paperless form in the computer system for organization. Nowadays, with the help of powerful computer software such as Photoshop and Corel Draw, it is very easy to alter the contents of the authenticated image without leaving any clues. This led t...
Chapter
The power average (PA) operator, at first developed by Yager, which can diminish the pessimistic influence of uncomfortable measurement values on the final decision results. The Maclaurin symmetric mean (MSM), initially developed by Maclaurin, which can take the interrelationship between multi-input parameters. However, in real world the decision m...
Chapter
Pulse oximetry is a non-invasive method of measuring the level of oxygen saturation in the body, or the level of oxygen in the blood. It can detect even the smallest changes in the efficiency of transporting oxygen from the heart to the extremities, including hands and feet. Pulse oximetry uses a pulse oximeter for measurement and it is often used...
Chapter
The recent innovation in Information and Communication Technologies (ICT) can help and assist the visually-impaired people. A simple and effective way for these people to move is to use “smart” footwear equipped with sensors for measuring distance, temperature, position, in order to inform the person about possible dangers. This paper presents “sma...
Chapter
The COVID-19 pandemic has restricted the mobility of the population. The experts propose several solutions in order to decrease the number of patients infected with this new virus by treating and monitoring them within the comfort of their own home. A new direction for the research has been identified including healthcare smart sensing systems whic...
Article
In the Vehicular Ad-hoc Networks, an enormous number of Location-based Services could be given to clients as per their development characteristics. Then, protection might be split when clients distribute certain vehicular trajectories information to the servers. Location-based Services collect large amounts of the Vehicular Ad-hoc Networks trajecto...
Article
The statistics highlights that physical rehabilitation are required nowadays by increased number of people that are affected by motor impairments caused by accidents or aging. Among the most common causes of disability in adults are strokes or cerebral palsy. To reduce the costs preserving the quality of services new solutions based on current tech...
Article
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Operating in a dynamic and competitive global market, railway companies have realized many years ago that better management of their logistical operations will enhance their strategic positions on the market. The financial component of daily operations is of utmost importance these days and many companies concluded that maximizing the profit relies...
Article
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Vehicular ad-hoc networks (VANETs) are the specific sort of ad-hoc networks that are utilized in intelligent transportation systems (ITS). VANETs have become one of the most reassuring, promising, and quickest developing subsets of the mobile ad-hoc networks (MANETs). They include smart vehicles, roadside units (RSUs), and on-board units (OBUs) whi...
Article
Vehicular Ad-hoc Networks (VANETs) have become the one of the most, reassuring, encouraging and the quickest developing subsets of Mobile Ad-hoc Networks (MANETs). They are involved smart vehicles, On-board Units (OBUs), and Roadside Units (RSUs) which convey by the temperamental wirless media. Other than lacking frameworks, forwarding elements mov...
Conference Paper
Full-text available
This paper present some considerations on the development of IoT systems. Among these applications we mention: intelligent house, automatic plant care system, automatic system for creating graphic elements, etc. Keywords—sensors, Internet of Things, data acquisition, automatic system
Article
Traditional Chinese medicine (TCM) is found on a long‐term medical practice in China. Rare human brains can fully grasp the deep TCM knowledge derived from a tremendous amount of experience. In this big data era, a big electronic brain might be competent via deep learning techniques. For this prospect, the electronic brain needs to process various...
Article
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Abstract. Targeted marketing strategy is a prominent topic that has received substantial attention from both industries and academia. Market segmentation is a widely used approach in investigating the heterogeneity of customer buying behavior and profitability. It is important to note that conventional market segmentation models in the retail indus...
Chapter
Assistive Technology (AT) refers to any commercially, modified, or customized item, equipment, or system that is used to enhance, maintain or improve the functional capabilities of people with disabilities. Assistive technologies should be viewed as a series of products and services through which people with different types of disabilities achieve...
Book
This book presents the fundamentals and advances in the field of data visualization and knowledge engineering, supported by case studies and practical examples. Data visualization and engineering has been instrumental in the development of many data-driven products and processes. As such the book promotes basic research on data visualization and kn...
Chapter
Assistive Technology (AT) is a concept that refers to devices and services that can offset the functional limitations of people with disabilities and can facilitate their independent lives. Assistive Technology refers to products and services for those needs that are specific to people with disabilities, elderly and those with chronic diseases. AT...
Chapter
Segmentation of MRI images plays a significant and helpful job in anticipation and treatment preliminaries. Be that as it may, the power in homogeneity, sporadic fringes and one of the most exceedingly terrible pieces of the difference may cause incredible challenges in the pieces of the seeping from brain MRI images. Heaps of specialists have made...
Article
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This paper presents a system dedicated to monitoring the heart activity parameters using Electrocardiography (ECG) mobile devices and a Wearable Heart Monitoring Inductive Sensor (WHMIS) that represents a new method and device, developed by us as an experimental model, used to assess the mechanical activity of the hearth using inductive sensors tha...
Book
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Aplicaţiile bioingineriei în recuperarea medicală
Book
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Metode numerice de analiză a datelor experimentale
Article
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The evolution of multipurpose sensors over the last decades has been investigated with the aim of developing innovative devices with applications in several fields of technology, including in the food industry. The integration of such sensors in food packaging technology has paved the way for intelligent food packaging. These integrated systems are...
Article
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Intelligent Assistive Technologies represent a concept that refers to products and services that can offset functional limitations, facilitate independent life, improve their quality of life, and enable people with disabilities to reach their own potential. This paper presents a medical recovery exergaming that includes a Microsoft Kinect Motion Se...
Article
Full-text available
In this paper the novel high-temperature resistant polymers with nonlinear optical properties have been synthesized, characterized and tested for use in electro-optical components with high bit rate optical signal processing systems and for dynamic holography. The characterization that has been reported include the measurement of second-order nonli...
Article
Deep learning techniques have gained significant importance among Artificial Intelligence (AI) techniques for any computing applications. Among them, Deep Convolutional Neural Networks (DCNN) is one of the widely used deep learning networks for any practical applications. The accuracy is generally high and the manual feature extraction process is n...
Conference Paper
Full-text available
Daily millions of images are uploaded and download to the web, as a result the data is available in the paperless form in the computer system for organization. Nowadays, with the help of powerful computer software such as Photoshop and Corel Draw, it is very easy to alter the contents of the authenticated image without leaving any clues. This led t...
Conference Paper
In this paper is described an acquisition method for tremor signal using accelerometer in patients with Parkinson’s disease. The system acquires the acceleration information from WiiTM accelerometer sensor using the Bluetooth connection. The tremor signal data are automatically uploaded on a server for further analysis, using FTP protocol. This tre...
Conference Paper
Theoretical-scientifical significance of the paper consists in developing and reasoning a complex method for predicting sportive performance, during a training stage, that complements the theoretical concept of structure and content of education. Through the theoretical and experimental results presented in this work, one can see that the mathemati...
Conference Paper
Deep Learning is a branch of Machine Learning, which focuses on a set of algorithms that model high-level abstractions in data by using a deep representation of multiple processing layers. The goal of Machine Learning is to map input patterns to output values. This paper will suggest a potential application of Deep Learning Algorithms for the analy...
Conference Paper
Parkinson’s disease (PD) is the most common degenerative movement disorder and a progressive nervous system disorder. It affects body movement, memory, speaking and daily mental and physical activities, being directly connected to the dopaminergic loss. The EEG signal can be modulated under the effect of neurotransmitters, e.g., using dopamine (L-d...