Oana Geman

• Tekniklektor in the Data Science and AI division, Chalmers and Gothenborg University, Sweden
• Professor (Associate) at Ştefan cel Mare University of Suceava

Electroencephalography (EEG) remains an essential method for monitoring brain activity, but the limitations of conventional systems due to the complexity of installation and lack of portability have led to the introduction and development of in-ear EEG technology. In-ear EEG is an emerging method of recording electrical activity in the brain and is...

This paper presents a device (data concentrator) capable of collecting data from different sensors connected by wire. Based on the RS485 communication protocol, it can package the data and send it further to cloud by means of GSM communication and FTP File Transfer Protocol. Such a device becomes very useful nowadays because it allows continuous mo...

In this laboratory, we will apply Problem-Based Learning (PBL) techniques to focus on understanding the relevance and appropriateness of neuroaesthetics research methods. A series of tasks, about PBL in Neuroaesthetics. You will find relevant information necessary for giving your own reasoned answers to the questions: What is Neuroaesthetics? What...

All creative processes begin by establishing an end goal, the realization of a vision to be. This intended purpose is the one directing a creator’s (or an author’s) experience of immersion in a thorough process of exploration. This process establishes the author’s ontological positioning and their relationship to the desired end result. Moreover, i...

Cloud Technology is a new platform that offers on-demand computing Peripheral such as storage, processing power, and other computer system resources. It is also referred to as a system that will let the consumers utilize computational resources like databases, servers, storage, and intelligence over the Internet. In a cloud network, load balancing...

Brain interictal epileptiform discharges (IEDs), as one of the hallmarks of epileptic brain, are transient events captured by electroencephalogram (EEG). IEDs are generated by seizure networks, and they occur between seizures (interictal periods). The development of a robust method for IED detection could be highly informative for clinical treatmen...

On a daily basis, a human being relies on the ability to perceive, recognize, interpret and reproduce a stream of speech. The language is biologically encoded in our brain since the day we are born. Described briefly as the exchange of thoughts, ideas and knowledge, language was difficult to be precisely localized within the brain for many years. T...

This paper presents a network of interdigital capacitive sensors, assisted by two optical sensors embedded in the collar of a coat that monitors the movements of the wearer’s head which represents a method of early detection of increased values of the head’s tremor. This system aims to help monitor the head’s tremor to people predictable to Parkins...

The optimization of locomotive drivers’ scheduling in rail freight transportation comes as a necessity for minimizing economic expenses and training investments. The Ferodata AI engine, an artificial intelligence (AI)/machine learning (ML) software module, developed by our team, has integrated a supervised random forest model that automatically ass...

#specialissue #CallforPapers Exciting news for researchers and professionals in the field of IoT and Big Data! 🚀 Submit your papers on "Intelligent Management and Machine Learning for Big Data in IoT-Enabled Pervasive Computing" by April 9, 2024. 👉 For more information on the issue, please visit the Special Issue website at https://www.techscienc...

This editorial summarises the special issue entitled "Deep Learning Blockchain-enabled Technology for Improved Healthcare Industrial Systems", which deals with the intersection and use of deep learning and blockchain technologies in the healthcare industry. This special issue consists of eleven scientific articles.

A pneumothorax is a condition that occurs in the lung region when air enters the pleural space—the area between the lung and chest wall—causing the lung to collapse and making it difficult to breathe. This can happen spontaneously or as a result of an injury. The symptoms of a pneumothorax may include chest pain, shortness of breath, and rapid brea...

Cryptocurrency has emerged as a well-known significant component with both economic and financial potential in recent years. Unfortunately, Bitcoin acquisition is not simple, due to uneven business and significant rate fluctuations. Traditional approaches to price forecasting have proven incapable of proving adequate data and solutions because pric...

Directed Acyclic Graph (DAG)-based scheduling applications are critical to resource allocation in the Cloud, Edge, and Fog layers of cyber-physical systems (CPS). However, thermal anomalies in DVFS-enabled homogeneous multiprocessor systems (HMSS) may be exploited by malicious applications posing risks to the availability of the underlying CPS. Thi...

Background and Objectives: In the early period after liver transplantation, patients are exposed to a high rate of complications and several scores are currently available to predict adverse postoperative outcomes. However, an ideal, universally accepted and validated score to predict adverse events in liver transplant recipients with hepatitis C i...

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In this chapter, we proposed a deep convolutional generative adversarial network (DCGAN) for producing augmented images on the PatchCamelyon (PCam) dataset to improve the metastatic tissue detection performance in the lymph node section using scanned images. Training of the DCGAN is performed on graphics processing unit (GPU) up to 300 training epo...

The cloud computing networks used in the IoT, and other themes of network architectures, can be investigated and improved by cheminformatics, which is a combination of chemistry, computer science, and mathematics. Cheminformatics involves graph theory and its tools. Any number that can be uniquely calculated by a graph is known as a graph invariant...

According to the Indian health line report, 12% of the population suffer from abnormal thyroid functioning. The major challenge in this disease is that the existence of hypothyroid may not propagate any noticeable symptoms in its early stages. However, delayed treatment of this disease may lead to several other health problems, such as fertility is...

SARS-CoV2, which produces COVID-19, has spread worldwide. Since the number of patients is rising daily, it requires time to evaluate laboratory data, limiting treatment and discoveries. Such restrictions necessitate a clinical decision-making tool with predictive algorithms. Predictive algorithms help healthcare systems by spotting disorders. This...

Motion analysis by wearable sensors forms a very important research topic with a general mathematical background and applications in different areas including engineering, robotics, and neurology. This paper presents the use of the global navigation satellite system (GNSS) for detecting and recording the position of a moving body and the simultaneo...

A critical issue is the acceptance of current modern smartphone technology by older people. Smartphones are inventions that presently offer significant advantages to help individuals. However, around the world, every older user wants to perform tasks that are more user-friendly, and near their personal preferences. Considering these factors, this r...

Any number that can be uniquely identified and varied by a graph is known as a graph invariant. This paper will talk about three unique variations of bridge networks, sierpinski networks, honeycomb, and hexagonal networks, with great capability of forecast in the field of software engineering, arithmetic, physics, drug store, informatics, and chemi...

Temporomandibular dysfunctions are a heterogeneous group of conditions involving the temporomandibular joints (TMJs) and periarticular musculoskeletal structures. This study aimed to evaluate the effectiveness of a physiotherapy program for TMJ dysfunctions and the relationship with cervical spine. The study design was a non-randomized clinical tri...

Wireless network devices can attain the required level of quality of service (QoS) and maintain connectivity even after detaching from a current point of access. This detachment (mobility) requires various mobility management (MM) mechanisms, which present numerous challenges due to the exponential growth of wireless devices and the demands of user...

The development of unusual cells in the cerebrum causes brain cancer. It is classified primarily into two classes: a noncarcinogenic (benign) type of growth and cancerous (malignant) growth. Early detection of this disease is a quintessential task for all medical practice professionals. For traditional approaches of tumor detections, certain limita...

Tumour region extraction (RE) method identifies the area of interest in MR imaging as it also highlights tumour boundaries. Some other intensities are existing, they are not visible but have their existence in region, and this region is called growing region. Such region is to be tumour region. Due to the variation of intensities in MRI images, tum...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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,...

The main objective of this special issue is to bring together diverse, novel and impactful research work on explainable deep learning for medicine based on the Internet of Medical Things, thereby accelerating research in this field. The regulation of Internet of Medical Things (IoMT) aware industrial networks for medical science applications has be...

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...

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...

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...

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...

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...

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-...

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...

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...

In Wireless Body Area Networks (WBANs) with respect to health care, sensors are positioned inside the body of an individual to transfer sensed data to a central station periodically. The great challenges posed to healthcare WBANs are the black hole and sink hole attacks. Data from deployed sensor nodes are attracted by sink hole or black hole nodes...

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...

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...

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...

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...

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...

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...

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...

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...

At the international level, a major effort is being made to optimize the flow of data and information for health systems management. The studies show that medical and economic efficiency is strongly influenced by the level of development and complexity of implementing an integrated system of epidemiological monitoring and modeling. The solution pro...

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...

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...

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...

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...

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...

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

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...

Vehicular Ad-hoc Networks (VANETs) have unique capabilities and are associated with Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communications to reduce traffic dynamics and provide support to the providers and the drivers to rely on security and communication alerts. Our proposed method is only supported by V2V and V2I communicati...

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...

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...

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...