Topic Review
Łukaszyk-Karmowski Metric
The Łukaszyk–Karmowski metric (LK-metric) defines a distance between two random variables or vectors. LK-metric is not a metric as it does not satisfy the identity of indiscernibles axiom of the metric; for the same random variables, its value is greater than zero, providing they are not both degenerated.
  • 49
  • 20 May 2024
Topic Review
Smart Sensing Chair for Sitting Posture Monitoring
Smart sensing chairs, equipped with advanced sensor technologies such as Force Sensing Resistors (FSRs), show significant potential in mitigating the negative health impacts of incorrect sitting postures, which can lead to spinal misalignment and musculoskeletal disorders. Research emphasizes the use of sophisticated machine learning techniques, including Convolutional Neural Networks (CNNs) and Artificial Neural Networks (ANNs), for classifying sitting postures. Notably, these advanced models do not always outperform traditional models due to the limitations of the training datasets, which often lack sufficient diversity in representing different human body types and health conditions. This finding underscores the critical need for datasets that more accurately reflect the demographic and physiological diversity of users. Additionally, this research highlights a significant opportunity for innovation in user feedback mechanisms within smart sensing chairs, suggesting that enhanced interactive features could improve posture correction efforts and overall user health outcomes.
  • 192
  • 13 May 2024
Topic Review
Insect Detection System with Field Adaption
The most incredible diversity, abundance, spread, and adaptability in biology are found in insects. The foundation of insect study and pest management is insect recognition.
  • 73
  • 09 May 2024
Topic Review
Markov Modeling of Acute Respiratory Distress Syndrome
This project focuses on utilizing mathematical Markov chain modeling as a stochastic process to analyze the stages of Acute Respiratory Distress Syndrome (ARDS). ARDS, characterized by a spectrum of severity ranging from floors to death, presents a complex clinical challenge. By employing Markov chain modeling, we aim to provide a structured framework for understanding the dynamic progression of ARDS. Our approach involves constructing a Markov chain that represents the transition of patients through various stages of ARDS, including floors, mild, moderate, severe, and ultimately death. Each stage is associated with specific clinical characteristics and outcomes, forming the basis of our modeling framework. In addition to describing the natural progression of ARDS, our project involves reviewing current clinical guidelines for managing the condition. We propose to examine the impact of each guideline on patient outcomes and the transition through different ARDS stages. By systematically analyzing the effects of various interventions and treatment strategies, we aim to provide insights into optimizing patient care and improving outcomes in ARDS management. Ultimately, this project serves as a comprehensive exploration of ARDS progression, providing healthcare professionals with a valuable framework for thinking about the condition. By integrating mathematical modeling with clinical guidelines, we seek to enhance our understanding of ARDS and contribute to more effective treatment approaches tailored to individual patient needs.
  • 162
  • 06 May 2024
Topic Review
Deep Learning Methods for Solving the NLI Problem
Natural language inference (NLI) is one of the most important natural language understanding (NLU) tasks. NLI expresses the ability to infer information during spoken or written communication. The NLI task concerns the determination of the entailment relation of a pair of sentences, called the premise and hypothesis. If the premise entails the hypothesis, the pair is labeled as an “entailment”. If the hypothesis contradicts the premise, the pair is labeled a “contradiction”, and if there is not enough information to infer a relationship, the pair is labeled as “neutral”.
  • 70
  • 26 Apr 2024
Topic Review Peer Reviewed
Pandemic Equation and COVID-19 Evolution
The Pandemic Equation describes multiple pandemic waves and has been applied to describe the COVID-19 pandemic. Using the generalized approaches of solid-state physics, we derive the Pandemic Equation, which accounts for the effects of pandemic mitigation measures and multiple pandemic waves. The Pandemic Equation uses slow and fast time scales for “curve flattening” and describing vaccination and mitigation measures and the Scaled Fermi–Dirac distribution functions for describing transitions between pandemic waves. The Pandemic Equation parameters extracted from the pandemic curves can be used for comparing different scenarios of the pandemic evolution and for extrapolating the pandemic evolution curves for the periods of time on the order of the instantaneous Pandemic Equation characteristic time constant. The parameter extraction for multiple locations could also allow for uncertainty quantification for such pandemic evolution predictions.
  • 467
  • 19 Apr 2024
Topic Review
Internet of Things Foundations
Es importante realizar pruebas de velocidad de Internet regularmente para asegurarse de que está recibiendo el servicio que paga y que cumple con sus necesidades. Las pruebas de velocidad pueden ayudarlo prueba con el plan de Internet que tiene para ver si está obteniendo la velocidad prometida.prueba de velocidad puede ayudarlo a identificar la causa del problema, como la congestión de la red, problemas con su proveedor de servicios de Internet (ISP) o problemas con su equipo. Calle Jovellanos, 31,Oviedo,33003,Spain
  • 240
  • 18 Apr 2024
Topic Review
Internet of Beer
Today Internet of Things (IoT) is a widespread definition indicating a set of “smart objects” (smart devices) connected to and through the internet. Through the connection, information is observed, recorded, analyzed, and transferred, in a context in which “things” talk to each other and then carry out consequent actions.
  • 2.1K
  • 15 Apr 2024
Topic Review
Statistical Analysis of Intensive Care Unit COVID-19 Data
COVID-19 caused a pandemic, due to its ease of transmission and high number of infections. The evolution of the pandemic and its consequences for the mortality and morbidity of populations, especially the elderly, generated several scientific studies and many research projects. Among them, researchers have the Predictive Models of COVID-19 Outcomes for Higher Risk Patients Towards a Precision Medicine (PREMO) research project. For such a project with many data records, it is necessary to provide a smooth graphical analysis to extract value from it.
  • 1.0K
  • 10 Apr 2024
Topic Review
Securing Internet of Things Applications Using Key Management
The Internet of Things (IoT) emerged when everyday objects began connecting to the Internet and interacting with each other autonomously without human intervention. IoT devices follow the IEEE 802.15.4 standard to enable network connectivity for resource-constrained devices using short-range, lightweight communication protocols.
  • 120
  • 07 Apr 2024
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