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Topic Review
VR Serious Games and Negative Schizophrenia Symptoms
Schizophrenia is a chronic brain disorder that affects 1 in every 300 people worldwide. VR is an interesting tool that has started to be used in remediation therapies. Although it is typically used as an exposure technique for specific phobias, VR has been applied, with encouraging results, to the study and treatment of schizophrenia. It can offer the potential for a significant therapeutic benefit, since patients are more willing to enter challenging situations and experiment with alternative ways of responding.
  • 1.4K
  • 19 Sep 2022
Topic Review
Vision-Based Structural Vibration Tracking Using a Digital Camera
Computer-vision-based target tracking can be applied to structural vibration monitoring, but current target tracking methods suffer from noise in digital image processing. A new target-tracking method based on the sparse optical flow technique is introduced to improve the accuracy in tracking the target, especially when the target has a large displacement. The proposed method utilizes the ORB technique to maintain a variety of keypoints and combines the multi-level strategy with a sparse optical flow algorithm to search the keypoints with a large motion vector for tracking. Then, an outlier removal method based on Hamming distance and interquartile range (IQR) score is introduced to minimize the error. The proposed target tracking method is verified through a lab experiment---a three-story shear building structure subjected to various harmonic excitations. It is compared with existing sparse optical flow-based target tracking methods and target tracking methods based on three other types of techniques, i.e., feature matching, dense optical flow, and template matching. The results show that the performance of target tracking is greatly improved through the use of a multi-level strategy and the proposed outlier removal method. The proposed sparse optical flow-based target tracking method achieves the best accuracy compared to other existing target tracking methods.
  • 1.3K
  • 01 Dec 2022
Topic Review
Cognitive Diagnosis Models
In the field of education, cognitive diagnosis is crucial for achieving personalized learning. The widely adopted DINA (Deterministic Inputs, Noisy And gate) model uncovers students’ mastery of essential skills necessary to answer questions correctly. However, existing DINA-based approaches overlook the dependency between knowledge points, and their model training process is computationally inefficient for large datasets.
  • 1.3K
  • 12 Jan 2024
Topic Review
Music Transcription
Music transcription is the process of transforming recorded sound of musical performances into symbolic representations such as sheet music or MIDI files. At the most fundamental level, frame-level transcription involves analyzing very short frames of audio and identifying basic sound characteristics of music such as pitch and timbre. In the next step, note-level transcription takes the information gathered from frame-level analysis and assembles it into individual musical notes. This level of transcription can identify the pitch, duration, and timing of each note in the piece of audio. The stream-level transcription looks beyond individual notes to capture the larger musical phrases. This involves recognizing patterns in the sequence of notes, identifying chord progressions, and determining the overall structure of the music like verses and choruses in a song. The highest level of transcription involves creating a formal written representation of the music notation. This includes not only the individual notes and their timing but also various musical symbols such as dynamics, articulations, time signatures, key signatures, and more. 
  • 1.3K
  • 08 Nov 2023
Topic Review
Geoinformatics
The geoinformatics is the programming of applications, spatial data structures, and analyses of objects and space-time phenomena referred to the Earth surface, together with designing, developing, and maintaining the software and web services intended for modelling and analysing the spatial data.
  • 1.3K
  • 19 Jun 2023
Topic Review
Financial Technology Influence on the Banking Industry
The synthesis of technology and finance is known as financial technology (Fintech), which brings together two of the biggest industries in harmony. Fintech disruption is a deviation from the norm, resulting in a significant shift in banking services and, as a result, risk. 
  • 1.3K
  • 17 Nov 2022
Topic Review
New Generation Metaheuristic Algorithms
Metaheuristics are the special branch of heuristic methods that can explore a whole problem space with different heuristic approaches by a replicated intelligent iterative process. Normally, metaheuristics stimulate the natural evolution strategy to produce convergence, which needs less parameters to tune for any certain problem. This is why metaheuristic has been implemented to large instance NP-hard problems, which leads to a similar optimization like the exact methods.
  • 1.3K
  • 05 Nov 2021
Topic Review
Saturn Launch Vehicle Digital Computer
The Saturn Launch Vehicle Digital Computer (LVDC) was a computer that provided the autopilot for the Saturn V rocket from launch to Earth orbit insertion. Designed and manufactured by IBM's Electronics Systems Center in Owego, N.Y., it was one of the major components of the Instrument Unit, fitted to the S-IVB stage of the Saturn V and Saturn IB rockets. The LVDC also supported pre- and post-launch checkout of the Saturn hardware. It was used in conjunction with the Launch Vehicle Data Adaptor (LVDA) which performed signal conditioning to the sensor inputs to the computer from the launch vehicle.
  • 1.3K
  • 02 Nov 2022
Topic Review
Cybersickness
Overcoming cybersickness remains elusive for VR developers and practitioners. Symptoms such as discomfort, headache, eye strain, and dizziness during and after VR experiences can be associated with cybersickness. Cybersickness is often compared with motion sickness and simulator sickness. However, cybersickness is categorized as a subset of motion sickness as cybersickness is considered a form of visually induced motion sickness (VIMS) (Weech et al., 2019) and shown to be three times more serious than simulator sickness (Stanney et al., 1997).
  • 1.3K
  • 27 Apr 2021
Topic Review
Blockchain in the Healthcare Sector
The emergence of blockchain technology makes it possible to address disparate distributed system security concerns in formerly ridiculous practices. A key factor of this ability is the decentralization of the symmetrically distributed ledgers of blockchain. Such decentralization has replaced several security functionalities of centralized authority with the use of cryptographic systems. That is, public or asymmetric cryptography is the key part of what makes blockchain technology possible. The blockchain experience introduces the chance for the healthcare field to implement these knowhows in their electronic records. This adoption supports retaining and sharing the symmetrical patient records with the appropriate alliance of hospitals and healthcare providers in a secure decentralized system, using asymmetric cryptography like hashing, digitally signed transactions, and public key infrastructure. These include specialized applications for drug tracking, applications for observing patients, or Electronic Health Records (EHR). Therefore, it is essential to notice that the principled awareness of the healthcare professionals is the leading point of the right perception ethics. 
  • 1.3K
  • 09 Sep 2022
Topic Review
Augmented Reality Mobile App to Learn Writing
Augmented reality (AR) has been widely used in education, particularly for child education. This entry presents the design and implementation of a novel mobile app, Learn2Write, using machine learning techniques and augmented reality to teach alphabet writing.
  • 1.3K
  • 10 Jan 2022
Topic Review
Cloud Development and 3D Printing
The United Nations (UN) 2030 agenda on sustainable development goals (SDGs) encourages us to implement sustainable infrastructure and services for confronting challenges such as large energy consumption, solid waste generation, depletion of water resources and emission of greenhouse gases in the construction industry. Therefore, to overcome challenges and establishing sustainable construction, there is a requirement to integrate information technology with innovative manufacturing processes and materials science. Moreover, the wide implementation of three-dimensional printing (3DP) technology in constructing monuments, artistic objects, and residential buildings has gained attention. The integration of the Internet of Things (IoT), cloud manufacturing (CM), and 3DP allows us to digitalize the construction for providing reliable and digitalized features to the users. In this review article, we discuss the opportunities and challenges of implementing the IoT, CM, and 3D printing (3DP) technologies in building constructions for achieving sustainability. 
  • 1.3K
  • 12 Jul 2021
Topic Review
Central Bank Digital Currency
Due to the growth of the internet and communication technologies, electronic financial systems are becoming popular. Physical cash is losing its preeminence, and digital numbers on computers represent money. However, electronic financial systems, mostly operated by private entities, have defects to be compensated for, such as high charges for using the system, security issues, and the problem of exclusion. As a solution, many countries around the world are considering central bank digital currency. For central bank digital currency to be utilized as a national legal tender, it must be universal and accessible regardless of time and place, similar to physical cash. Therefore, offline payment functions that extend the accessibility of central bank digital currency are becoming attractive.
  • 1.3K
  • 26 May 2022
Topic Review
OMOP CDM for Data-Driven Studies for Cancer Prediction
The current generation of sequencing technologies has led to significant advances in identifying novel disease-associated mutations and generated large amounts of data in a high-throughput manner. Such data in conjunction with clinical routine data are proven to be highly useful in deriving population-level and patient-level predictions, especially in the field of cancer precision medicine. However, data harmonization across multiple national and international clinical sites is an essential step for the assessment of events and outcomes associated with patients, which is currently not adequately addressed. The Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) is an internationally established research data repository introduced by the Observational Health Data Science and Informatics (OHDSI) community to overcome this issue. To address the needs of cancer research, the genomic vocabulary extension was introduced in 2020 to support the standardization of subsequent data analysis. Studies present multicentric investigations, in which the OMOP played an essential role in discovering and optimizing machine learning (ML)-based models. Ultimately, the use of the OMOP CDM leads to standardized data-driven studies for multiple clinical sites and enables a more solid basis utilizing, e.g., ML models that can be reused and combined in early prediction, diagnosis, and improvement of personalized cancer care and biomarker discovery.
  • 1.3K
  • 10 May 2023
Topic Review
Rooftop Solar Photovoltaic Systems
Rooftop solar photovoltaic (PV) retrofitting can greatly reduce the emissions of greenhouse gases, thus contributing to carbon neutrality. Retrofitting distributed rooftops with solar PV is an effective means of promoting “carbon peaking” and “carbon neutral” strategies. Rooftop solar PV is geographically unrestricted. The PV cells can be closely integrated into buildings without taking up additional land resources, not only saving land resources but also improving their utilization rate.
  • 1.3K
  • 12 Jul 2022
Topic Review
Internet of Everything
The Internet of Everything (IoE) represents a paradigm shift in the world of connectivity. While the Internet of Things (IoT) initiated the era of interconnected devices, the IoE takes this concept to new heights by interlinking objects, individuals, data, and processes. Symmetry in IoE innovation and technology is essential for creating a harmonious and efficient ecosystem to ensure that the benefits are accessible to a broad spectrum of society while minimizing potential drawbacks. 
  • 1.3K
  • 14 Nov 2023
Topic Review
New Trends in Melanoma Detection Using Neural Networks
Due to its increasing incidence, skin cancer, and especially melanoma, is a serious health disease today. The high mortality rate associated with melanoma makes it necessary to detect the early stages to be treated urgently and properly. This is the reason why many researchers in this domain wanted to obtain accurate computer-aided diagnosis systems to assist in the early detection and diagnosis of such diseases.
  • 1.2K
  • 26 Jan 2022
Topic Review
Efficient Approximate Analytics of Georeferenced Big Data
The unprecedented availability of sensor networks and GPS-enabled devices has caused the accumulation of voluminous georeferenced data streams. These data streams offer an opportunity to derive valuable insights and facilitate decision making for urban planning.
  • 1.2K
  • 02 Nov 2023
Topic Review
Explainable AI (XAI) Explanation Techniques
Interest in artificial intelligence (AI) has been increasing rapidly over the past decade and has expanded to essentially all domains. Along with it grew the need to understand the predictions and suggestions provided by machine learning. Explanation techniques have been researched intensively in the context of explainable AI (XAI), with the goal of boosting confidence, trust, user satisfaction, and transparency.
  • 1.2K
  • 19 Jun 2023
Topic Review
Deep Learning Algorithms in Oral Cancer
Oral cancer is a dangerous and extensive cancer with a high death ratio. Oral cancer is the most usual cancer in the world, with more than 300,335 deaths every year. The cancerous tumor appears in the neck, oral glands, face, and mouth. To overcome this dangerous cancer, there are many ways to detect like a biopsy, in which small chunks of tissues are taken from the mouth and tested under a secure and hygienic microscope. However, microscope results of tissues to detect oral cancer are not up to the mark, a microscope cannot easily identify the cancerous cells and normal cells. Detection of cancerous cells using microscopic biopsy images helps in allaying and predicting the issues and gives better results if biologically approaches apply accurately for the prediction of cancerous cells, but during the physical examinations microscopic biopsy images for cancer detection there are major chances for human error and mistake. So, with the development of technology deep learning algorithms plays a major role in medical image diagnosing. Deep learning algorithms are efficiently developed to predict breast cancer, oral cancer, lung cancer, or any other type of medical image.
  • 1.2K
  • 27 Jun 2022
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