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Topic Review
Modern Greek on Social Web
Mining social web text has been at the heart of the Natural Language Processing and Data Mining research community in the last 15 years. Though most of the reported work is on widely spoken languages, such as English, the significance of approaches that deal with less commonly spoken languages, such as Greek, is evident for reasons of preserving and documenting minority languages, cultural and ethnic diversity, and identifying intercultural similarities and differences. 
  • 753
  • 01 Jun 2021
Topic Review
3D Models of Oblique Photography Watermarking Algorithm
With the rapid development of oblique photogrammetry technology based on unmanned aerial vehicle (UAV), 3D models of oblique photography (3DMOP) are playing an increasingly significant role in the establishment of digital cities and twin watersheds, due to their huge advantages such as high accuracy, clear texture information, virtual simulation capability, etc. igital watermarking, an important branch of data hiding, has played an important role in security protection of digital products, such as digital images, CAD graphics, remote sensing images, vector maps, etc., and a huge amount of research results have been obtained.
  • 733
  • 28 Dec 2023
Topic Review
Standards for Health Data Systems
The COVID-19 pandemic has highlighted the necessity for agile health services that enable reliable and secure information exchange, but achieving proper, private, and secure sharing of electronic medical records (EMRs) remains a challenge due to diverse data formats and fragmented records across multiple data silos, resulting in hindered coordination between healthcare teams, potential medical errors, and delays in patient care.
  • 732
  • 18 Feb 2024
Topic Review
Assessing Cognitive Workload Using Cardiovascular Measures and Voice
Monitoring cognitive workload has the potential to improve both the performance and fidelity of human decision making. Cognitive workload can be assessed and monitored using cardiovascular measures and voice. Heart rate and blood pressure signals are combined with voice signal formant features to classify cognitive workload into three levels of difficulty. The feature level fusion combination is carried out using each heartbeat to synchronize the two data sources. This allows the subsequent machine learning mechanism to monitor cognitive workload on a beat-by-beat basis.
  • 722
  • 28 Sep 2022
Topic Review
Digital Activism and Social Media Conspiracies During COVID-19
Coronaviruses are a well-established and deadly group of viruses that cause illness in both humans and animals. The novel type of this virus group, named COVID-19, was first reported in December 2019, and, with the passage of time, coronavirus has spread to almost all parts of the world. During this novel outbreak, it has been analyzed that some of social media users used bots to spread fake news and manipulate data about COVID-19.
  • 720
  • 21 Jun 2023
Topic Review
Smart IoT Technologies for Crop Health
Teh field of agriculture has witnessed significant advancements in technology, paving teh way for improved monitoring and management practices. One such technological innovation that holds great promise is teh use of Internet of Things (IoT) technologies for monitoring crop health, growth, and yield prediction. Teh integration of IoT devices, sensors, and data analytics offers new possibilities for farmers to gain real-time insights into their crops and make informed decisions for optimizing agricultural productivity. 
  • 720
  • 12 Oct 2023
Topic Review
Cross-Layer Methods for Ad Hoc Networks
The Open systems interconnection (OSI)model used to be a common network model for years. In the case of ad hoc networks with dynamic topology and difficult radio communications conditions, gradual departure is happening from the classical kind of OSI network model with a clear delineation of layers (physical, channel, network, transport, application) to the cross-layer approach. The layers of the network model in ad hoc networks strongly influence each other. Thus, the cross-layer approach can improve the performance of an ad hoc network by jointly developing protocols using interaction and collaborative optimization of multiple layers. The existing cross-layer methods classification is too complicated because it is based on the whole manifold of network model layer combinations, regardless of their importance.
  • 719
  • 29 Jan 2024
Topic Review
On-Boarding Process for Distributed Analysis
The constant upward movement of data-driven medicine as a valuable option to enhance daily clinical practice has brought new challenges for data analysts to get access to valuable but sensitive data due to privacy considerations. One solution for most of these challenges are Distributed Analytics (DA) infrastructures, which are technologies fostering collaborations between healthcare institutions by establishing a privacy-preserving network for data sharing. However, in order to participate in such a network, a lot of technical and administrative prerequisites have to be made, which could pose bottlenecks and new obstacles for non-technical personnel during their deployment. Three major problems in the current state-of-the-art have been identified. Namely, the missing compliance with FAIR data principles, the automation of processes, and the installation. 
  • 713
  • 20 Jun 2022
Topic Review
Smart Cities: Opportunities and Risks
Smart Cities are emerging as a promising solution to the challenges of urbanization, population growth, and environmental sustainability. By utilizing advanced technologies, such as the Internet of Things (IoT) and Artificial Intelligence (AI), Smart Cities can improve the efficiency of urban services, enhance citizen engagement, and promote environmental sustainability. However, Smart Cities also face significant risks, including data privacy and security concerns, unequal access to technology, potential for social exclusion, pollution, and accidents caused by modern technologies. The opportunities and risks of Smart Cities, as well as open challenges, future directions, recommendations for governments, and ways to address pollution in Smart Cities were discussed here.
  • 706
  • 17 May 2023
Topic Review
Technological Solutions for Social Isolation Monitoring of Elderly
Social isolation is likely to be one of the most serious health outcomes for the elderly due to the COVID-19 pandemic, especially for seniors living alone at home. In fact, two approaches have been used to assess social isolation. The first is a self-reported survey designed for research purposes. The second approach is the use of monitoring technology.
  • 705
  • 29 Jan 2023
Topic Review
The Existing Remote Sensing Index Resources
Remote sensing indices are widely used in various fields of geoscience research. However, there are limits to how effectively the knowledge of indices can be managed or analyzed. One of the main problems is the lack of ontology models and research on indices, which makes it difficult to acquire and update knowledge in this area. 
  • 700
  • 18 Feb 2024
Topic Review
Resource Elasticity
Elasticity as the ability of a system to be able to add or remove computational resources during the use and processing of data, in order to adapt to workload variations in real time . These resources can be CPU cores, RAM memory, GPU, Virtual Machine instances (known as VM's), among others. Elasticity is a dynamic property of Cloud Computing. There are two types of elasticity in the literature: horizontal and vertical. Vertical elasticity consists of the system's ability to increase or decrease the characteristics of computational resources, such as CPU time, cores, memory and network. Horizontal elasticity consists of the system's ability to add or remove instances of computational resources associated with the application that uses them. This entry will describe the main classifications for elastic systems.
  • 699
  • 01 Mar 2024
Topic Review
Practical AI Cases for Solving ESG Challenges
Artificial intelligence (AI) is a rapidly advancing area of research that encompasses numerical methods to solve various prediction, optimization, and classification/clustering problems. Recently, AI tools were proposed to address the environmental, social, and governance (ESG) challenges associated with sustainable business development. While many publications discuss the potential of AI, few focus on practical cases in the three ESG domains altogether, and even fewer highlight the challenges that AI may pose in terms of ESG.
  • 696
  • 06 Sep 2023
Topic Review
Greenhouse Micro-Climate Prediction
Accurate measurement of micro-climates that include temperature and relative humidity is the bedrock of the control and management of plant life in protected cultivation systems.
  • 689
  • 24 Jul 2023
Topic Review
From Shallow to Deep Bioprocess Hybrid Modeling
Hybrid neural network (HNN)  modeling is the combination of artificial neural networks (ANNs) with prior knowledge in a mathematical framework. There are two main approaches to incorporating prior knowledge: design and training methods. Design approaches use prior knowledge to define the network structure, while training approaches use it to guide parameter estimation. Both approaches reduce data dependency, making models less sensitive to sparse and noisy data, and improving their descriptive and predictive capabilities compared to pure ANNs. HNNs are a powerful tool for understanding complex processes like bioprocesses and accelerating product development. Bioprocess modeling is challenging due to nonlinearity, dynamics, and uncertainty. Traditional models based on physical and chemical laws can be overly simplistic or hard to calibrate. Data-driven ANN models lack interpretability and generalization. HNNs combine the strengths of both approaches, enhancing the accuracy, robustness, and efficiency of bioprocess modeling by integrating prior knowledge with ANNs.
  • 685
  • 20 Nov 2023
Topic Review
The Importance of Social Media in Water Quality
Social media has become a useful instrument and forum for expressing worries about various difficulties and day-to-day concerns. The pertinent postings containing people’s complaints about water quality as an additional source of information can be automatically acquired/retrieved and analyzed using natural language processing and machine learning approaches.
  • 682
  • 13 Oct 2023
Topic Review
Predictability Measures
The task of forecasting is a crucial topic with wide-range applications and significance in various fields. In fact, forecasting provides valuable insights into the future, helping individuals, organizations, and societies plan and adapt in a dynamic and uncertain world. Time series and network link are among the most significant and extensively investigated objects that have been the focus of forecasting efforts.
  • 681
  • 22 Nov 2023
Topic Review
DrunkChain: Blockchain-Based IoT System
Traffic accidents present significant risks to human life, leading to a high number of fatalities and injuries. According to the World Health Organization’s 2022 worldwide status report on road safety, there were 27,582 deaths linked to traffic-related events, including 4448 fatalities at the collision scenes. Drunk driving is one of the leading causes contributing to the rising count of deadly accidents.
  • 680
  • 16 Jun 2023
Topic Review
Critical Immersive-Triggered Literacy in Inclusive Digital Education
The critical immersive-triggered (CIT) literacy, which allows for the internalization of cognitive skills through attention-drawing multisensory functionalities on specific learning objects. In the Metaverse era, the incorporation of activities that lead to CIT literacy can facilitate digital attention in the learning process and lead to the synthesis and creation of new content.
  • 679
  • 20 Jul 2023
Topic Review
Vehicular Edge Computing Schemes Related to Trajectory Prediction
As the infrastructure becomes well established, edge servers extend their service coverage to a wider scope. In traffic control, edge computing servers can acquire and regulate real-time traffic. In in-vehicle tasks, edge computing servers can provide high-quality services to users. Vehicular edge computing (VEC) is essential in vehicle applications such as traffic control and in-vehicle services. 
  • 679
  • 17 Oct 2023
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