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Topic Review
Fall Detection and Prevention
A fall can be described as an unpredicted event leading the participants to rest on the lower level (ground or floor). As a result, it causes injuries that can often be fatal. Psychological grievances are also considered as the consequence of falls. People may suffer from anxiety, depression, activity restriction, and fear of falling. The primary physiological issue in older adults is fear of falling, restricting their Activities of Daily Life (ADL). This fear leads to activity restriction, which may lead to inadequate gait balance and weakened muscle that affects the mobility and independence of older adults. Therefore, remote/wearable technologies are required to track, detect, and prevent falls for improving the overall quality of life (QoL). For this purpose, understanding of falls can be classified as fall prevention and fall detection. Fall detection refers to the detection of a fall using sensors/cameras to summon help. In contrast, fall prevention aims to avert falls by observing human locomotion. Numerous systems have been developed using different sensors and algorithms to detect and prevent the fall.
  • 1.7K
  • 09 Aug 2021
Topic Review
Path-Planning Approaches for Multiple Mobile Robots
Numerous path-planning studies have been conducted due to the challenges of obtaining optimal solutions. The multi-robot path-planning approaches have been classified as classical approaches, heuristic algorithms, bio-inspired techniques, and artificial intelligence approaches. Bio-inspired techniques are the most employed approaches, and artificial intelligence approaches have gained more attention. 
  • 1.7K
  • 15 Sep 2022
Topic Review
Population-Based Deep Reinforcement Learning
Many real-world applications can be described as large-scale games of imperfect information, which require extensive prior domain knowledge, especially in competitive or human–AI cooperation settings. Population-based training methods have become a popular solution to learn robust policies without any prior knowledge, which can generalize to policies of other players or humans. 
  • 1.7K
  • 15 Jun 2023
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
Three-Dimensional Printing
Additive manufacturing with an emphasis on 3D printing has recently become popular due to its exceptional advantages over conventional manufacturing processes. However, 3D printing process parameters are challenging to optimize, as they influence the properties and usage time of printed parts. Therefore, it is a complex task to develop a correlation between process parameters and printed parts’ properties via traditional optimization methods. A machine-learning technique was recently validated to carry out intricate pattern identification and develop a deterministic relationship, eliminating the need to develop and solve physical models. In machine learning, artificial neural network (ANN) is the most widely utilized model, owing to its capability to solve large datasets and strong computational supremacy.
  • 1.7K
  • 17 Feb 2021
Topic Review
Anchor Assignment in Object Detection
Due to the advantages of edge computing in terms of latency, bandwidth, and security, it provides more effective technical support for many applications that require real-time security. A security system is one of the applications for edge computing in Internet of Things (IoT), where the core end device is a camera for surveillance and smart security. Smart security based on object detection is one of the important applications of edge computing in IoT. Anchors in object detection refer to points on the feature map, which can be used to generate anchor boxes and serve as training samples. The training samples in object detection use anchors, which are feature points on the feature map that can be used for classification and regression.
  • 1.7K
  • 28 Jul 2023
Topic Review
Medical Case-Based Multiple-Choice Questions
Moving from old-style multiple-choice questions (MCQs) to ones that are more related to real clinical situations is really important. It helps in growing critical thinking and practical use, especially since MCQs are still the primary method for testing knowledge in medicine.
  • 1.7K
  • 15 Jan 2024
Topic Review
Agri-Food Traceability System User Intention
Scientists believed the outbreak of COVID-19 could be linked to the consumption of wild animals, so food safety and hygiene have become the top concerns of the public. An agri-food traceability system becomes very important in this context because it can help the government to trace back the entire production and delivery process in case of food safety concerns. The traceability system is a complicated digitalized system because it integrates information and logistics systems. Previous studies used the technology acceptance model (TAM), information systems (IS) success model, expectation confirmation model (ECM), or extended model to explain the continuance intention of traceability system users.
  • 1.7K
  • 16 Mar 2022
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.
  • 1.7K
  • 14 Oct 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. 
  • 1.7K
  • 22 Dec 2021
Topic Review
Flatfeet Severity-Level Detection
Flat foot is a postural deformity in which the plantar part of the foot is either completely or partially contacted with the ground. In the clinical practices, X-ray radiographs have been introduced to detect flat feet because they are more affordable to many clinics than using specialized devices. 
  • 1.7K
  • 16 Oct 2023
Topic Review
3D Biometrics
Biometrics have been used to identify humans since the 19th century. Over time, these biometrics became 3D. The main reason for this was the growing need for more features in the images to create more reliable identification models. Three main categories of 3D biometrics were identified. These were face, hand and gait. The corresponding percentages for these categories were 74.07%, 20.37% and 5.56%, respectively. The face is further categorized into facial, ear, iris and skull, while the hand is divided into fingerprint, finger vein and palm. In each category, facial and fingerprint were predominant, and their respective percentages were 80% and 54.55%. The use of the 3D reconstruction algorithms was also determined. These were stereo vision, structure-from-silhouette (SfS), structure-from-motion (SfM), structured light, time-of-flight (ToF), photometric stereo and tomography. Stereo vision and SfS were the most commonly used algorithms with a combined percentage of 51%. The state of the art for each category and the available datasets are also presented. Finally, multimodal biometrics, generalization of 3D reconstruction algorithms and anti-spoofing metrics are the three areas that should attract scientific interest for further research. 
  • 1.7K
  • 02 Sep 2022
Topic Review
NewsRx
NewsRx is a media and technology company focusing on digital media, printed media, news services, and knowledge discovery through its BUTTER platform. In 1995 the company was the world's largest producer of health news. The company publishes 194 newsweeklies in health and other fields, which are distributed to subscribers and partners including Factiva, the Wall Street Journal Professional Edition, Thomson Reuters, ProQuest, and Cengage Learning. C W Henderson founded the company in 1984 and its first publication was AIDS Weekly. In the early 2000s, the firm added the imprint, VerticalNews to publish newsweeklies in non-health fields. Now based in Atlanta, Georgia, the company reports through its daily news service and publishes reference books through its partner, ScholarlyEditions. NewsRx launched its BUTTER platform in 2015, which is a knowledge discovery engine that delivers its content to academics, researchers, and professionals.
  • 1.7K
  • 26 Oct 2022
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.
  • 1.7K
  • 01 Jun 2021
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. 
  • 1.6K
  • 11 Oct 2021
Topic Review
Human Activity Recognition Methods
Human activity recognition (HAR) can effectively improve the safety of the elderly at home. Many researchers have studied HAR from different aspects, such as sensors and algorithms. HAR methods can be divided into three categories based on the types of sensors: wearable devices, cameras, and millimeter-wave radars.
  • 1.6K
  • 04 Aug 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).
  • 1.6K
  • 24 Aug 2022
Topic Review
Machine Learning Methods in Weather and Climate Applications
With the rapid development of artificial intelligence, machine learning is gradually becoming popular for predictions in all walks of life. In meteorology, it is gradually competing with traditional climate predictions dominated by physical models. 
  • 1.6K
  • 15 Dec 2023
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. 
  • 1.6K
  • 05 Jul 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
  • 1.6K
  • 11 Jun 2024
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