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Topic Review
Deriving Vectorcardiography from 12-Lead ECG
Vectorcardiography (VCG) is a valuable diagnostic tool that complements the standard 12-lead ECG by offering additional spatiotemporal information to clinicians. However, due to the need for additional measurement hardware and too many electrodes in a clinical scenario if performed along with a standard 12-lead, there is a need to find methods to derive the VCG from the ECG.
  • 1.1K
  • 22 May 2023
Topic Review
Leveraging IoT and AI for Climate-Resilient Agriculture
Climate change poses significant challenges to global food security, but there are also opportunities to adapt and mitigate its impacts. Developing climate-resilient crops, improving farming practices, and promoting sustainable food systems can all help to build more resilient food systems that can withstand the impacts of climate change. The Internet of Things (IoT) and Artificial Intelligence (AI) are two technologies that can play a crucial role in making agriculture more climate-resilient. This research explores the challenges and opportunities associated with climate change and global food security, and highlights the potential of IoT and AI to revolutionize agriculture and promote climate resilience. The research also provides recommendations for policymakers and stakeholders to leverage the potential of these technologies and build a more resilient and sustainable global food system.
  • 509
  • 22 May 2023
Topic Review
Spare Parts Forecasting and Lumpiness Classification Methods
Safety critical spare parts hold special importance for aviation organizations. However, accurate forecasting of such parts becomes challenging when the data are lumpy or intermittent. Different methods, with varying degrees of success, have been used to forecast lumpy and intermittent demand data. 
  • 289
  • 22 May 2023
Topic Review
Magnetic Particle Spectroscopy (MPS): Mechanisms and Theories
Since its first report in 2006, magnetic particle spectroscopy (MPS)-based biosensors have flourished over the past decade. MPS is used for a wide range of applications, such as disease diagnosis, foodborne pathogen detection, etc.
  • 345
  • 22 May 2023
Topic Review
Bus Service Quality Risk Evaluation in Bangkok
The daily activities of people who live in the Bangkok Metropolitan Region, especially those who do not own personal vehicles, are supported by public transportation as an intermediary to link almost all such activities. As a result, public transit is unavoidably important and connected to their everyday lives.
  • 393
  • 22 May 2023
Topic Review
Digital Twin in the Construction Industry
Digital twin (DT) has gained significant recognition among researchers due to its potential across industries. DT presents the opportunity to develop digital models, which can be continually updated using several sources of data to make predictions regarding the current as well as future states and conditions of the physical asset. These models can be simulated for real-time predictions, optimisation, monitoring, and controlling, as well as enhanced decision-making regarding the status of a physical asset. In addition, DT utilises other technologies, including artificial intelligence (AI), machine learning, and data analytics. With the prime goal of solving numerous challenges confronting the construction industry (CI), DT has witnessed several applications in the CI.
  • 386
  • 22 May 2023
Topic Review
Classification and Analysis of Single Phase Transformerless Inverters
The uses of grid-connected photovoltaic (PV) inverters are increasing day by day due to the scarcity of fossil fuels such as coal and gas. Due to their superior efficiency, lower cost, smaller size, and lighter weight when compared to inverters with transformers, transformerless inverters for low-voltage single-phase grid-tied photovoltaic (PV) systems have attracted more interest. 
  • 629
  • 22 May 2023
Topic Review
Displacement-Based Approaches for Protein-Bound Uremic Toxins Removal
End-stage renal disease (ESRD) patients rely on renal replacement therapies to survive. Hemodialysis (HD), the most widely applied treatment, is responsible for the removal of excess fluid and uremic toxins (UTs) from blood, particularly those with low molecular weight (MW < 500 Da). The development of high-flux membranes and more efficient treatment modes, such as hemodiafiltration, have resulted in improved removal rates of UTs in the middle molecular weight range. However, the concentrations of protein-bound uremic toxins (PBUTs) remain essentially untouched. Due to the high binding affinity to large proteins, such as albumin, PBUTs form large complexes (MW > 66 kDa) which are not removed during HD and their accumulation has been strongly associated with the increased morbidity and mortality of patients with ESRD. 
  • 274
  • 22 May 2023
Topic Review
Overcoming the Challenges of Implementing Renewable Energy
The transition to renewable energy is essential for reducing reliance on fossil fuels and mitigating climate change. However, implementing renewable energy on a large scale is not without challenges. This research explores the key challenges associated with implementing renewable energy on a large scale, including intermittency, energy storage, infrastructure, policy barriers, security risks, and political issues. In addition, this research discusses potential solutions to these challenges, such as advancements in energy storage technology, improvements in infrastructure, supportive policies and regulations, and the role of IoT, AI, and blockchain technology. The research also provides recommendations for policymakers to facilitate the transition to renewable energy on a large scale. Finally, the research highlights some open challenges and future directions for the deployment of renewable energy technologies.
  • 414
  • 22 May 2023
Topic Review
Deep Learning Methods in a Moroccan Ophthalmic Center
Diabetic retinopathy (DR) remains one of the world’s frequent eye illnesses, leading to vision loss among working-aged individuals. Hemorrhages and exudates are examples of signs of DR. However, artificial intelligence (AI), particularly deep learning (DL), is poised to impact nearly every aspect of human life and gradually transform medical practice. Insight into the condition of the retina is becoming more accessible thanks to major advancements in diagnostic technology. AI approaches can be used to assess lots of morphological datasets derived from digital images in a rapid and noninvasive manner. Computer-aided diagnosis tools for automatic detection of DR early-stage signs will ease the pressure on clinicians.
  • 320
  • 22 May 2023
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