Your browser does not fully support modern features. Please upgrade for a smoother experience.
Subject:
All Disciplines Arts & Humanities Biology & Life Sciences Business & Economics Chemistry & Materials Science Computer Science & Mathematics Engineering Environmental & Earth Sciences Medicine & Pharmacology Physical Sciences Public Health & Healthcare Social Sciences
Sort by:
Most Viewed Latest Alphabetical (A-Z) Alphabetical (Z-A)
Filter:
All Topic Review Biography Peer Reviewed Entry Video Entry
Topic Review
Risk Analysis of Engineering Procurement and Construction
The lump sum turn key (LSTK) contract for engineering, procurement, and construction (EPC) projects is a typical contract type used in large-scale and complex plant projects. 
  • 1.7K
  • 21 Jun 2022
Topic Review
Security Challenges and Malware Attacks in the IoT
Malware is a major security threat to the IoT, and detecting unknown malware is one of the key challenges for two reasons. First, the limitations of IoT devices, such as their low power retention capability and low computational processing capability, represent a significant challenge when aiming to apply security solutions. Second, introducing new ways to connect networks, such as cloud services, opens the door to many security attacks, such as malware attacks. Furthermore, connecting new devices that were not part of traditional networks via these new connection methods, such as smart sensors, makes applying security measures more complex. For these reasons, traditional malware detection mechanisms are not suitable for the IoT environment.
  • 1.7K
  • 10 Nov 2021
Topic Review
Quantum AI Integration for Industry Transformation
The fusion of quantum computing and artificial intelligence (AI) heralds a transformative era for Industry 4.0, offering unprecedented capabilities and challenges
  • 1.7K
  • 11 Jun 2024
Topic Review
Solubility and Aggregation of Proteins
Protein solubility is based on the compatibility of the specific protein surface with the polar aquatic environment. The exposure of polar residues to the protein surface promotes the protein’s solubility in the polar environment. The application of 3D GAuss function allows identification of accordant/discordant regions in proteis. The discordant ones usually represent the localisation of biological activity. 
  • 1.7K
  • 11 Oct 2021
Topic Review
Predictive Maintenance Solutions for SMEs
Small- and medium-sized enterprises (SMEs) play an important role in the economy of societies. Although environmental factors, such as COVID-19, as well as non-environmental factors, such as equipment failure, make these industries more vulnerable, they can be minimized by better understanding the concerns and threats these industries face. Only a few SMEs have the capacity to implement the innovative manufacturing technologies of Industry 4.0.
  • 1.7K
  • 29 Oct 2021
Topic Review
Anomaly Detection in Autonomous Robotic Missions
An anomaly in autonomous robotic missions (ARM) is a deviation from the expected behaviour, performance, or state of the robotic system and its environment, which may impact the mission’s objectives, safety, or efficiency; and this anomaly can be caused either by system faults or the change in the environmental dynamics of interaction. The nuanced understanding of anomaly categories facilitates a more strategic approach, ensuring that detection methods are more effective in addressing the specific nature of the anomaly.
  • 1.7K
  • 11 Mar 2024
Topic Review
Underwater Vision Enhancement
Underwater video images, as the primary carriers of underwater information, play a vital role in human exploration and development of the ocean. Due to the absorption and scattering of incident light by water bodies, the video images collected underwater generally appear blue-green and have an apparent fog-like effect. In addition, blur, low contrast, color distortion, more noise, unclear details, and limited visual range are the typical problems that degrade the quality of underwater video images. Underwater vision enhancement uses computer technology to process degraded underwater images and convert original low-quality images into a high-quality image. The problems of color bias, low contrast, and atomization of original underwater video images are effectively solved by using vision enhancement technology. Enhanced video images improve the visual perception ability and are benefificial for subsequent visual tasks. Therefore, underwater video image enhancement technology has important scientifific signifificance and application value. 
  • 1.7K
  • 03 Mar 2022
Topic Review
Community-Specific Overview of Knowledge Graph Research
Knowledge graphs (KGs) have rapidly emerged as an important area in AI over the last ten years. Building on a storied tradition of graphs in the AI community, a KG may be simply defined as a directed, labeled, multi-relational graph with some form of semantics. In part, this has been fueled by increased publication of structured datasets on the Web, and well-publicized successes of large-scale projects such as the Google Knowledge Graph and the Amazon Product Graph. However, another factor that is less discussed, but which has been equally instrumental in the success of KGs, is the cross-disciplinary nature of academic KG research. Arguably, because of the diversity of this research, a synthesis of how different KG research strands all tie together could serve a useful role in enabling more ‘moonshot’ research and large-scale collaborations.
  • 1.7K
  • 01 Apr 2022
Topic Review
Smartphone Security and Privacy
There is an exponential rise in the use of smartphones in government and private institutions due to business dependencies such as communication, virtual meetings, and access to global information. These smartphones are an attractive target for cybercriminals and are one of the leading causes of cyber espionage and sabotage. A large number of sophisticated malware attacks as well as advanced persistent threats (APTs) have been launched on smartphone users. These attacks are becoming significantly more complex, sophisticated, persistent, and undetected for extended periods. Traditionally, devices are targeted by exploiting a vulnerability in the operating system (OS) or device sensors. Nevertheless, there is a rise in APTs, side-channel attacks, sensor-based attacks, and attacks launched through the Google Play Store.
  • 1.7K
  • 25 Jun 2023
Topic Review
AI-Assisted Design-on-Simulation for Life Prediction
Many researchers have adopted the finite-element-based design-on-simulation (DoS) technology for the reliability assessment of electronic packaging. DoS technology can effectively shorten the design cycle, reduce costs, and effectively optimize the packaging structure. However, the simulation analysis results are highly dependent on the individual researcher and are usually inconsistent between them. Artificial intelligence (AI) can help researchers avoid the shortcomings of the human factor. 
  • 1.7K
  • 28 Sep 2021
Topic Review
Ransomware Detection, Avoidance, and Mitigation Scheme
Ransomware attacks have emerged as a major cyber-security threat wherein user data is encrypted upon system infection. Latest Ransomware strands using advanced obfuscation techniques along with offline C2 Server capabilities are hitting Individual users and big corporations alike. This problem has caused business disruption and, of course, financial loss. 
  • 1.7K
  • 13 Jan 2022
Topic Review
Efficient Real-Time Decision Making in IoT
Efficient Real-Time Decision Making in IoT(the Internet of Things) is about using real-time sensor data, using fresh sensor data that represent the current real-world status to minimize.          
  • 1.7K
  • 09 Feb 2022
Topic Review
Monitoring of Humans in Bed
Indeed, humans typically spend a significant portion of their daily lives in bed. This time becomes even longer in cases where the human is unwell. This is particularly the case for sick or older people, who spend even more time in bed. Their physical activity or inactivity patterns provide useful signatures that reflect the “state” of the person under observation. In the frame of activity monitoring endeavors, behavioral situations that are abnormal (these situations are more/extremely rare within the observation time window) are the ones that are of the highest interest when compared to behavioral situations that are rather normal (these ones occupy most of the observation time window).
  • 1.7K
  • 24 Aug 2022
Topic Review
Transfer Learning
Transfer learning refers to machine learning techniques that focus on acquiring knowledge from related tasks/domains to improve generalization in the tasks/domains of interest.
  • 1.7K
  • 09 Jan 2022
Topic Review
Lane Marking Detection Using Deep Neural Networks
Lane marking recognition is one of the most crucial features for automotive vehicles as it is one of the most fundamental requirements of all the autonomy features of Advanced Driver Assistance Systems (ADAS).
  • 1.7K
  • 27 Oct 2022
Topic Review
Simulators in Educational Robotics
Simulators are part of educational robotics, which easily and quickly enable the user to engage virtually with the development and programming of robots through GUIs. Using a simulator means that it is not necessary to deal exclusively with real robots that might have a significant cost. Hence, simulators are a useful tool that might save resources and assist the educational process.
  • 1.7K
  • 18 Mar 2021
Topic Review
Takagi–Sugeno Fuzzy-PI Controller Hardware
The intelligent system Field Programmable Gate Array (FPGA) is represented as Takagi--Sugeno Fuzzy-PI controller. The implementation uses a fully parallel strategy associated with a hybrid bit format scheme (fixed-point and floating-point). Two hardware designs are proposed; the first one uses a single clock cycle processing architecture, and the other uses a pipeline scheme. The bit accuracy was tested by simulation with a nonlinear control system of a robotic manipulator. The area, throughput, and dynamic power consumption of the implemented hardware are used to validate and compare the results of this proposal. The results achieved allow the use of the proposed hardware in applications with high-throughput, low-power, and ultra-low-latency requirements such as teleoperation of robot manipulators, tactile internet, or industry 4.0 automation, among others.
  • 1.6K
  • 29 Oct 2020
Topic Review
Arabic Optical Character Recognition Challenges
When it is necessary to store or edit a text written by hand in Arabic, this can only be performed manually, which can take significant time. However, fortunately, optical character recognition can be applied for this particular case. Optical character recognition (OCR) is a technique that is used to read and recognize the text present in an image and then convert it into a textual format. Once the text is extracted and digitized, it can utilize the applications of storing, retrieving, searching, and editing. Here, researchers shed light on the challenges accompanying OCR in general, then narrow it down to the case of Arabic OCR.
  • 1.6K
  • 07 Jul 2023
Topic Review
Data-Driven Predictive Maintenance
Cyber-physical systems in Industry 4.0 are reforming conventional decision-making processes, mainly through integrating entities and functionalities via telecommunication systems and intelligent data processing approaches. This reformulation brings new challenges and increases complexity. Nevertheless, these advancements might provide new solutions for typical problems, such as system failures, and thus, for maintenance approaches. Predictive Maintenance (PdM) is a data-based approach that emerged as a prominent field of research among many existing maintenance approaches. We have three main categories in PdM: model-based prognosis, knowledge-based prognosis, and data-driven prognosis. Data-driven PdM strategies appeared with great prominence and importance both in industry and academia.
  • 1.6K
  • 28 Sep 2021
Topic Review
Impact of Artificial Intelligence on Dental Education
Most dental educators have limited knowledge and skills to assess AI applications, as they were not trained to do so. Also, AI technology has evolved exponentially. Factual reliability and opportunities with OpenAI Inc.’s ChatGPT are considered critical inflection points in the era of generative AI. Updating curricula at dental institutions is inevitable as advanced deep-learning approaches take over the clinical areas of dentistry and reshape diagnostics, treatment planning, management, and telemedicine screening. With advances in AI language models, communication with patients will change, and the foundations of dental education, including essay, thesis, or scientific paper writing, will need to adapt. However, there is a growing concern about its ethical and legal implications, and further consensus is needed for the safe and responsible implementation of AI in dental education.
  • 1.6K
  • 20 Feb 2023
  • Page
  • of
  • 60
Featured Entry Collections
>>

Featured Reprints

>>
Encyclopedia of Digital Society, Industry 5.0 and Smart City
Encyclopedia of Engineering
Encyclopedia of Social Sciences
Encyclopedia of Medieval Royal Iconography
Write an Entry
Feedback