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Topic Review
Green Wireless Sensor Networks
The issue of energy balancing in Wireless Sensor Networks is a pivotal one, crucial in their deployment. This problem can be subdivided in three areas: (i) energy conservation techniques, usually implying minimizing the cost of communication at the nodes since it is known that the radio is the biggest consumer of the available energy; (ii) energy-harvesting techniques, converting energy from not full-time available environmental sources and usually storing it; and (iii) energy transfer techniques, sharing energy resources from one node (either specialized or not) to another one.
  • 1.9K
  • 01 Jul 2021
Topic Review
Geant4-DNA Modeling of Water Radiolysis
In this work, we use the next sub-volume method (NSM) to investigate the possibility of using the compartment-based (“on-lattice”) model to simulate water radiolysis.
  • 1.9K
  • 24 Jun 2021
Topic Review
Construction Rework Cost Prediction Using Machine Learning
Predicting the construction cost of rework (COR) allows for the advanced planning and prompt implementation of appropriate countermeasures. Machine learning (ML) offers a data-oriented solution that can be utilized in different construction project contexts. ML approaches can predict COR by learning the complex patterns within the quality dataset.
  • 1.9K
  • 09 Dec 2022
Topic Review
Digital Transformation in Energy Sector and Power Industry
Digital transformation is a phenomenon introduced by the transformative power of digital technologies, and it has become a key driver for the energy sector, with advancements in technology leading to significant changes in the way energy is produced, transmitted, and consumed. The impact of digital transformation on the energy sector is profound, with benefits such as improved efficiency, cost reduction, and enhanced customer experience.
  • 1.9K
  • 10 May 2023
Topic Review
Geospatial Data-Driven Approaches for Sustainable Smart Cities
The concept of smart cities has become increasingly important in the pursuit of sustainable development goals. In general, common urban challenges have been addressed through smart-city services, and new perspectives for more sustainable cities have emerged. To realise the full potential of such smart urban environments, geospatial approaches have been used as a focal point, offering a plethora of applications that contribute to a better understanding of urban challenges and innovation potentials.
  • 1.9K
  • 29 Jan 2024
Topic Review
Drone Forensics
Unmanned aerial vehicles (UAVs) are adaptable and rapid mobile boards that can be applied to several purposes, especially in smart cities. These involve traffic observation, environmental monitoring, and public safety. The need to realize effective drone forensic processes has mainly been reinforced by drone-based evidence. Drone-based evidence collection and preservation entails accumulating and collecting digital evidence from the drone of the victim for subsequent analysis and presentation.
  • 1.9K
  • 22 Sep 2022
Topic Review
Blockchain-Based E-Voting Systems
The employment of blockchain technology in electronic voting (e-voting) systems is attracting significant attention due to its ability to enhance transparency, security, and integrity in digital voting. Blockchain technology has been recognized as a potential solution for secure and transparent e-voting systems. By leveraging the decentralization, immutability, and transparency of blockchain technology, e-voting systems can prevent fraud and manipulation, improve voter anonymity, and increase trust in the electoral process. Moreover, blockchain-based e-voting systems can reduce the cost and time associated with traditional voting systems.
  • 1.8K
  • 03 Jan 2024
Topic Review
Suitability of NB-IoT
Narrow-Band Internet of Things (NB-IoT) shares among the challenges faced by Internet of Things (IoT) and its applications in industrial settings are set to bring in the fourth industrial revolution. The industrial environment consisting of high profile manufacturing plants and a variety of equipment is inherently characterized by high reflectiveness, causing significant multi-path components that affect the propagation of wireless communications—a challenge among others that needs to be resolved. The suitability of NB-IoT for industrial applications is therewith explained.
  • 1.8K
  • 19 Aug 2021
Topic Review
Smart Boxing Glove “RD α”
Emerging smart devices have gathered increasing popularity within the sports community, presenting a promising avenue for enhancing athletic performance. Among these, the Rise Dynamics Alpha (RD 𝛼) smart gloves exemplify a system designed to quantify boxing techniques. Emerging smart devices have gathered increasing popularity within the sports community, presenting a promising avenue for enhancing athletic performance. Among these, the Rise Dynamics Alpha (RD 𝛼) smart gloves exemplify a system designed to quantify boxing techniques. 
  • 1.8K
  • 30 Aug 2023
Topic Review
Blockchain Interoperability
Blockchain Interoperability is defined according to the National Institute of Standards and Technology (NIST) as: “a composition of distinguishable blockchain systems, each representing a unique distributed data ledger, where atomic transaction execution may span multiple heterogeneous blockchain systems, and where data recorded in one blockchain are reachable, verifiable, and referable by another possibly foreign transaction in a semantically compatible manner”.
  • 1.8K
  • 17 Jul 2023
Topic Review
Causal Loop Diagramming of Socioeconomic Impacts of COVID-19
The complexity, multidimensionality, and persistence of the COVID-19 pandemic have prompted both researchers and policymakers to turn to transdisciplinary methods in dealing with the wickedness of the crisis. While there are increasing calls to use systems thinking to address the intricacy of COVID-19, examples of practical applications of systems thinking are still scarce. We revealed and reviewed eight studies which developed causal loop diagrams (CLDs) to assess the impact of the COVID-19 pandemic on a broader socioeconomic system. We find that major drivers across all studies are the magnitude of the infection spread and government interventions to curb the pandemic, while the most impacted variables are public perception of the pandemic and the risk of infection.
  • 1.8K
  • 23 Nov 2021
Topic Review
Machine Learning in Smart Farming
Machine learning applications are having a great impact on the global economy by transforming the data processing method and decision making. Agriculture is one of the fields where the impact is significant, considering the global crisis for food supply. 
  • 1.8K
  • 01 Sep 2023
Topic Review
Physiological Measurement of Advertising Engagement
Advertising evokes emotional responses and triggers cognitive processes in consumers. This, in turn, influences individuals’ physiological responses and can provide new insights into consumer behavior. Owing to the steady development of wearable devices with physiological sensors, physiological signals may provide a way to directly and continuously measure the effects of ad exposure and thus better understand consumer behavior.
  • 1.7K
  • 10 Aug 2023
Topic Review
Digital Twin Applications for Microgrids Components
The concept of the digital twin (DT) has been adopted as an important aspect in digital transformation of power systems. Microgrids (MG) can be seen as scaled-down versions of a centralised power system. A microgrid is a local power network that acts as a dependable island within bigger regional and national electricity networks, providing power without interruption even when the main grid is down. Microgrids are essential components of smart cities that are both resilient and sustainable, providing smart cities the opportunity to develop sustainable energy delivery systems.
  • 1.7K
  • 31 Jul 2023
Topic Review
The Crossroads of Computer Science and Physics
The intersection of computer science and physics has opened up exciting new opportunities for research and innovation. The principles of physics have inspired the development of new computational models, and the ability to simulate complex physical systems using computer algorithms has been a critical tool for physicists to test their theories and hypotheses. Conversely, computer science has also had a significant impact on physics, providing tools and techniques for simulations and data analysis that have enabled physicists to explore complex physical systems. Machine learning and AI techniques are also increasingly being used to tackle some of the most challenging problems in physics. Despite the many potential benefits of interdisciplinary research between computer science and physics, there are also significant challenges that must be addressed. The synergy between these two fields and how interdisciplinary research is shaping their future was described. The research discusses the challenges and opportunities of interdisciplinary research, future directions for research, and the countries and scientists at the forefront of this field. By addressing the challenges of interdisciplinary research, researchers can unlock the full potential of interdisciplinary research and shape the future of both computer science and physics.
  • 1.7K
  • 22 May 2023
Topic Review Video
Metaverse-Related Technologies and Applications
The definition of the Metaverse is a virtual space where users can interact with one another, and with their environment, via 3D digital objects and virtual avatars, in a complex manner that mimics the real world, holding things developed using artificial intelligence techniques; therefore, creating digital humans is essential to the development of the Metaverse and other Virtual Reality (VR), Augmented Reality (AR), Extended Reality (XR) applications.
  • 1.6K
  • 05 Feb 2024
Topic Review
Detection of Rootkits Using Memory Analysis
Rootkits are malicious programs designed to conceal their activities on compromised systems, making them challenging to detect using conventional methods. As the threat landscape continually evolves, rootkits pose a serious threat by stealthily concealing malicious activities, making their early detection crucial to prevent data breaches and system compromise. A promising strategy for monitoring system activities involves analyzing volatile memory. The process can be made more reliable by the use of Machine learning and deep learning algorithms too.
  • 1.6K
  • 12 Oct 2023
Topic Review
Blockchain Applications in Agriculture
Blockchain is a distributed, immutable ledger technology initially developed to secure cryptocurrency transactions. Following its revolutionary use in cryptocurrencies, blockchain solutions are now being proposed to address various problems in different domains, and it is currently one of the most “disruptive” technologies.
  • 1.6K
  • 26 Aug 2022
Topic Review
Machine Learning in T- and B-Cell Epitope Prediction
An antigenic determinant (AD) is a portion of an antigen molecule known as an epitope that is recognized by the human immune system, specifically by antibodies or T and B cells. Recognition of epitopes is considered important in EBPV design to contain pandemics, epidemics, and endemics due to the outbreak of infectious diseases. To design an effective and viable EBPV against different strains of a pathogen, it is important to identify the putative T- and B-cell epitopes. Using the wet-lab experimental approach to identify these epitopes is time-consuming and costly because the experimental screening of a vast number of potential epitope candidates is required. Fortunately, various available machine learning (ML)-based prediction methods have reduced the burden related to the epitope mapping process by decreasing the potential epitope candidate list for experimental trials. Moreover, these methods are also cost-effective, scalable, and fast. 
  • 1.6K
  • 16 Feb 2022
Topic Review
Fruit Sizing with Machine Vision
Forward estimates of harvest load require information on fruit size as well as number. The task of sizing fruit and vegetables has been automated in the packhouse, progressing from mechanical methods to machine vision. This shift is occurring for size assessment of fruit on trees, i.e., in the orchard.
  • 1.6K
  • 18 May 2023
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