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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. 
  • 1.4K
  • 13 Jan 2022
Topic Review
Overview of Deep Learning-Based Visual Multi-Object Tracking
Multi-target tracking is an advanced visual work in computer vision, which is essential for understanding the autonomous driving environment. Due to the excellent performance of deep learning in visual object tracking, many state-of-the-art multi-target tracking algorithms have been developed.
  • 1.4K
  • 22 Nov 2022
Topic Review
Journalistic Knowledge Platform
A Journalistic Knowledge Platform (JKP) is an information system that employ artificial intelligence and big data techniques such as machine learning and knowledge graphs to manage and support the knowledge work needed in all stages of news production. JKPs automate the process of annotating metadata and support daily workflows like news production, archiving, monitoring, management and distribution. JKPs harvest and analyse news and social media information over the net in real time, leverage encyclopaedic sources, and provide journalists with both meaningful background knowledge and newsworthy information. JKPs can provide a digitalisation path towards reduced production costs and improved information quality while adapting the current workflows of newsrooms to new forms of journalism and readers’ demands.
  • 1.4K
  • 20 Jun 2022
Topic Review
Semantic Trajectory and Recommender Systems in Cultural Spaces
Semantic trajectories can efficiently model human movement for further analysis and pattern recognition, while personalised recommender systems can adapt to constantly changing user needs and provide meaningful and optimised suggestions. 
  • 1.4K
  • 22 Dec 2021
Topic Review Video Peer Reviewed
Geometry-Based Deep Learning in the Natural Sciences
Nature is composed of elements at various spatial scales, ranging from the atomic to the astronomical level. In general, human sensory experience is limited to the mid-range of these spatial scales, in that the scales which represent the world of the very small or very large are generally apart from our sensory experiences. Furthermore, the complexities of Nature and its underlying elements are not tractable nor easily recognized by the traditional forms of human reasoning. Instead, the natural and mathematical sciences have emerged to model the complexities of Nature, leading to knowledge of the physical world. This level of predictiveness far exceeds any mere visual representations as naively formed in the Mind. In particular, geometry has served an outsized role in the mathematical representations of Nature, such as in the explanation of the movement of planets across the night sky. Geometry not only provides a framework for knowledge of the myriad of natural processes, but also as a mechanism for the theoretical understanding of those natural processes not yet observed, leading to visualization, abstraction, and models with insight and explanatory power. Without these tools, human experience would be limited to sensory feedback, which reflects a very small fraction of the properties of objects that exist in the natural world. As a consequence, as taught during the times of antiquity, geometry is essential for forming knowledge and differentiating opinion from true belief. It not only provides a framework for understanding astronomy, classical mechanics, and relativistic physics, but also the morphological evolution of living organisms, along with the complexities of the cognitive systems. Geometry also has a role in the information sciences, where it has explanatory power in visualizing the flow, structure, and organization of information in a system. This role further impacts the explanations of the internals of deep learning systems as developed in the fields of computer science and engineering.
  • 1.4K
  • 21 Jun 2023
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.
  • 1.3K
  • 29 Oct 2020
Topic Review
Radar-Based Non-Contact Continuous Identity Authentication
Non-contact vital signs monitoring using microwave Doppler radar has shown great promise in healthcare applications. Recently, this unobtrusive form of physiological sensing has also been gaining attention for its potential for continuous identity authentication, which can reduce the vulnerability of traditional one-pass validation authentication systems. Physiological Doppler radar is an attractive approach for continuous identity authentication as it requires neither contact nor line-of-sight and does not give rise to privacy concerns associated with video imaging.
  • 1.3K
  • 01 Jun 2021
Topic Review
Class Imbalance Problem in Credit Risk Prediction
Credit, as defined by financial institutions such as banks and lending companies, represents a vital loan certificate issued to individuals or businesses. This certification mechanism plays a pivotal role in ensuring the smooth functioning of the financial sector, contingent upon comprehensive evaluations of creditworthiness.
  • 1.3K
  • 18 Mar 2024
Topic Review
Tiny-YOLO-Based CNN Architecture for Applications in Human Detection
Human detection is a special application of object recognition and is considered one of the greatest challenges in computer vision. It is the starting point of a number of applications, including public safety and security surveillance around the world. Human detection technologies have advanced significantly due to the rapid development of deep learning techniques. Convolutional neural networks (CNNs) have become quite popular for tackling various problems, among which includes object detection.
  • 1.3K
  • 14 Oct 2022
Topic Review
AI Revolution in Digital Finance in Saudi Arabia
In recent years, Artificial Intelligence (AI) has become widespread, driven by abundant daily data production and increased computing power. It finds applications across various sectors, including transportation, education, healthcare, banking, and finance. The financial industry, in particular, is rapidly adopting AI to achieve significant cost savings. AI has the potential to revolutionize financial services by offering tailored, faster, and more cost-effective solutions. Saudi Arabia is emerging as a growing market in this field, emphasizing technology-driven institutions. Despite gaining prominence and government support, AI has yet to play a crucial role in improving the efficiency of financial transactions.
  • 1.3K
  • 27 Nov 2023
Topic Review
Resource Allocation Schemes for 5G Network
Resource allocation is an important aspect of any cellular network environment. It plays a significant part in maintaining friendly access for end-users, business partners, and customers of cellular-based applications. Resource allocation has great benefits for the cellular network environment.
  • 1.3K
  • 21 Oct 2021
Topic Review
Applications of Internet of Things
IoT-dependent systems (IoTSs) cause heavy usage of energy. This is one of the biggest issues associated with IoTSs. Another issue is that the security of digital content is a big challenge and difficulty. Image processing has recently played an essential role in resolving these difficulties.
  • 1.3K
  • 02 Mar 2023
Topic Review
Artificial Intelligence in Translational Medicine
Between preclinical and clinical research, translational research is benefitting from computer-based approaches like Artificial Intelligence, resulting in breakthroughs for advancing human health. 
  • 1.3K
  • 17 Dec 2021
Topic Review
Convolutional Neural Network in Histopathology
Deep learning (DL) and convolutional neural networks (CNNs) have achieved state-of-the-art performance in many medical image analysis tasks. Histopathological images contain valuable information that can be used to diagnose diseases and create treatment plans. Therefore, the application of DL for the classification of histological images is a rapidly expanding field of research.
  • 1.3K
  • 04 May 2023
Topic Review
Control-Based 4D Printing
Building on the recent progress of four-dimensional (4D) printing to produce dynamic structures, this study aimed to bring this technology to the next level by introducing control-based 4D printing to develop adaptive 4D-printed systems with highly versatile multi-disciplinary applications, including medicine, in the form of assisted soft robots, smart textiles as wearable electronics and other industries such as agriculture and microfluidics. This study introduced and analyzed adaptive 4D-printed systems with an advanced manufacturing approach for developing stimuli-responsive constructs that organically adapted to environmental dynamic situations and uncertainties as nature does. The adaptive 4D-printed systems incorporated synergic integration of three-dimensional (3D)-printed sensors into 4D-printing and control units, which could be assembled and programmed to transform their shapes based on the assigned tasks and environmental stimuli. This paper demonstrates the adaptivity of these systems via a combination of proprioceptive sensory feedback, modeling and controllers, as well as the challenges and future opportunities they present.
  • 1.3K
  • 28 Oct 2020
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.
  • 1.3K
  • 18 Mar 2021
Topic Review
Efficient Structural Design with ANNs
Artificial Neural Networks (ANNs) are showing their potential as structural design tools. ANNs are applied to design a dry precast concrete connection. They can be easily and effectively adapted to different connection parameters, being possible to use them in both precast or cast in situ concrete connection design.
  • 1.3K
  • 27 Oct 2020
Topic Review
Intelligent Power Management System
This is a cloud-based intelligent power management system that uses analytics as a control signal and processes balance achievement pointer, and describes operator acknowledgments that must be shared quickly, accurately, and safely. Current studies of it aims to introduce a conceptual and systematic structure with three main components: demand power (direct current (DC)-device), power mix between renewable energy (RE) and other power sources, and a cloud-based power optimization intelligent system.
  • 1.3K
  • 01 Nov 2021
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. 
  • 1.3K
  • 21 Jun 2022
Topic Review
Artificial Intelligence in Pathology
Tissue Biomarkers are information written in the tissue and used in Pathology to recognize specific subsets of patients with diagnostic, prognostic or predictive purposes, thus representing the key elements of Personalized Medicine. The advent of Artificial Intelligence (AI) promises to further reinforce the role of Pathology in the scenario of Personalized Medicine: AI-based devices are expected to standardize the evaluation of tissue biomarkers and also to discover novel information, which would otherwise be ignored by human review, and use them to make specific predictions. 
  • 1.3K
  • 05 Jul 2021
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