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Journal articles on the topic 'Detect-and-avoid technologies'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 July 2025

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1

Riedel, Marcel. "A Review of Detect and Avoid Standards for Unmanned Aircraft Systems." Aerospace 12, no. 4 (2025): 344. https://doi.org/10.3390/aerospace12040344.

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When operating an unmanned aircraft system within the specific category beyond Air Risk Class a or within the certified category, a detect and avoid system is required in order to mitigate the risk of colliding with manned aircraft. To demonstrate compliance with the regulatory requirements, several standards have been developed that propose a range of technologies and requirements for different operational environments. This paper represents an entry point for understanding the key aspects of this application area. Important concepts, like remain well clear, collision avoidance, and encounter

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Castro, Fabio Lo, Andrey Vasilyev, Sergio Larossi, and Massimilliano De Luca. "INFRASOUND MONITORING TECHNOLOGIES." VOLUME 39, VOLUME 39 (2021): 235. http://dx.doi.org/10.36336/akustika202139235.

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On the contrary the infrasonic region of the spectrum is still under investigation. The first study on the presence of the infrasound in air go back to the end of the 19th century and its effects on the human beings have been investigated since the World War II. In this paper is presented an overview of the technologies used to detect infrasound in different research fields, pointing out their pros and cons. System specification for urban area infrasound noise monitoring require transportability, robustness, reduced dimensions to avoid large space occupation and low cost devices for a distribu

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Giannì, C., M. Balsi, S. Esposito, and P. Fallavollita. "OBSTACLE DETECTION SYSTEM INVOLVING FUSION OF MULTIPLE SENSOR TECHNOLOGIES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W6 (August 23, 2017): 127–34. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w6-127-2017.

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Obstacle detection is a fundamental task for Unmanned Aerial Vehicles (UAV) as a part of a Sense and Avoid system. In this study, we present a method of multi-sensor obstacle detection that demonstrated good results on different kind of obstacles. This method can be implemented on low-cost platforms involving a DSP or small FPGA. In this paper, we also present a study on the typical targets that can be tough to detect because of their characteristics of reflectivity, form factor, heterogeneity and show how data fusion can often overcome the limitations of each technology.

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Salavi, Prof A. S., and Prof D. A. Bhosale. "Path Finder Autonomous Robot." International Journal for Research in Applied Science and Engineering Technology 11, no. 3 (2023): 1212–15. http://dx.doi.org/10.22214/ijraset.2023.49614.

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Abstract: Now a days many robots have come Developed for automation and navigation is robotics Emerging technologies that reduce human work. Many A variety of robot navigation techniques are available. This is a project to create a robot that finds the world safe way Plan and avoid obstacles. It has an infrared sensor Used to detect obstacles in the robot's path. Robot avoid the obstacles in the way and move forward specific direction. An infrared sensor is used for detection Interrupt and send the information to the controller and then Processing input microcontroller redirects using robots M

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Zhihong, Yao. "Integrating Technology and Personalized Approaches in Sports Rehabilitation: Enhancing Performance and Preventing Sports Injuries." International Journal of Scientific and Management Research 06, no. 07 (2023): 16–29. http://dx.doi.org/10.37502/ijsmr.2023.6702.

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This study analyses how personalized therapy and technology might enhance sports performance and minimize injury risk. China used PLS to assess data. Issue Statement Athletes must avoid injuries and recuperate to perform well. Modern technologies and specific therapies may enhance recovery. This concept uses technology and individualized therapy to help athletes recover quicker and avoid injuries. Many effective study methods were used. We first researched sports rehabilitation technology and tactics. Next, a representative Chinese athlete sample was surveyed on the new training methods. PLS w

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Seoane, Paula, Enrique Aldao, Fernando Veiga-López, and Higinio González-Jorge. "Assessment of LiDAR-Based Sensing Technologies in Bird–Drone Collision Scenarios." Drones 9, no. 1 (2024): 13. https://doi.org/10.3390/drones9010013.

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The deployment of Advanced Air Mobility requires the continued development of technologies to ensure operational safety. One of the key aspects to consider here is the availability of robust solutions to avoid tactical conflicts between drones and other flying elements, such as other drones or birds. Bird detection is a relatively underexplored area, but due to the large number of birds, their shared airspace with drones, and the fact that they are non-cooperative elements within an air traffic management system, it is of interest to study how their detection can be improved and how collisions

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Wang, Hong Wei, Qi Jun Li, and Zhan Hou Wang. "An Automatic Barn-Entering System for Grains." Advanced Materials Research 774-776 (September 2013): 1617–20. http://dx.doi.org/10.4028/www.scientific.net/amr.774-776.1617.

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This paper provides an automatic barn-entering system for grains. Based on the technologies of microwave and PLC, the system may detect the grain moisture on line and control the directions of grain flows on conveyor. For the flows with moisture below the specified threshold, the grains may be made their way into the barn, otherwise rechannel the direction automatically and not permitted into the barn.Thus can avoid effectively grains' from going mouldy due to the high moisture content.

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Madne, A. N., Ritik Bahoriya, Dhanashree Deshmukh, et al. "Review Paper on Design and Fabrication Emergency Braking System in Four-Wheeler." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (2022): 1446–48. http://dx.doi.org/10.22214/ijraset.2022.41259.

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Abstract: Most people prefer to use cars and four-wheelers for efficient transportation. Vehicle technology is on the rise, especially in braking and detection systems. Vehicles equipped with modern braking technology are designed with a simple collision avoidance system, which will help to detect a possible collision and to apply the emergency brake to avoid it. Such technologies will reduce the number of accidents that cause the most serious damage, serious injury and even death. In this automatic braking system, there is a four-wheeled trolley in which sparse wheels are motorized for the dr

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9

Altamirano, Washington A., Moisés Toapanta T., Lenin Altamirano, Rodrigo Del Pozo Durango, Antonio Orizaga T, and Roció Maciel A. "Prototype to mitigate risks for the closure of a company with the support of Information Technologies." Journal of Ecohumanism 3, no. 7 (2024): 3176–91. http://dx.doi.org/10.62754/joe.v3i7.4449.

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The problems of business closures (SMEs) are constant in the world and in Ecuador due to the lack of application of appropriate management models that allow the conversion of strategies. The deductive method was used for exploratory research of the information related to the research topic. The objective is to design a prototype to mitigate risks and prevent threats to avoid the closure of this type of companies. The result was a conceptual model to minimize risks, a risk control prototype, a prototype flow chart, a simulation of processes with five scenarios, determination of the formula to d

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10

Lyu, Aihong. "Driver Distracted Behavior Detection Using a Light Weight Model based on the W-MSA." Journal of Physics: Conference Series 2560, no. 1 (2023): 012046. http://dx.doi.org/10.1088/1742-6596/2560/1/012046.

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Abstract The percentage of traffic accidents caused by driver factors is about 90% in the world. Despite the great development of autonomous driving, it is still not completely self-driving. So, it is still not possible to avoid traffic accidents caused by drivers. Computer vision technology has made great progress with deep learning development. That makes it possible to detect the driver’s behaviour using a camera. To reduce the detection price, this paper presents a light weight model to detect the driver’s behavior based on the W-MSA. This model consists of 2 encoder modules and a classifi

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Gonzalez Viejo, Claudia, and Sigfredo Fuentes. "Digital Assessment and Classification of Wine Faults Using a Low-Cost Electronic Nose, Near-Infrared Spectroscopy and Machine Learning Modelling." Sensors 22, no. 6 (2022): 2303. http://dx.doi.org/10.3390/s22062303.

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The winemaking industry can benefit greatly by implementing digital technologies to avoid guesswork and the development of off-flavors and aromas in the final wines. This research presents results on the implementation of near-infrared spectroscopy (NIR) and a low-cost electronic nose (e-nose) coupled with machine learning to detect and assess wine faults. For this purpose, red and white base wines were used, and treatments consisted of spiked samples with 12 faults that are traditionally formed in wines. Results showed high accuracy in the classification models using NIR and e-nose for red wi

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Mishra, Shreyansh. "Fire Fighting Robot." International Journal for Research in Applied Science and Engineering Technology 11, no. 11 (2023): 2029–35. http://dx.doi.org/10.22214/ijraset.2023.56997.

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Abstract: Fire safety is the major priority in this time of rapid industrialization. As in many factories, mainly the chemical industries and also in clothe, electrical factories, many fire accidents happen. According to the global report about 10000 deaths happen on average every year because of the fire accidents in the world. Since we are using many technologies to avoid these accidents, we also need to focus on post-accidents technologies. As many countries and factories use such technologies, it has been seen that the death rate because of fire accidents has decreased by some percent in p

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Cao, Yang, Yuchen Zhang, Menghua Lin, Di Wu, and Kunsong Chen. "Non-Destructive Detection of Damaged Strawberries after Impact Based on Analyzing Volatile Organic Compounds." Sensors 22, no. 2 (2022): 427. http://dx.doi.org/10.3390/s22020427.

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Strawberries are susceptible to mechanical damage. The detection of damaged strawberries by their volatile organic compounds (VOCs) can avoid the deficiencies of manual observation and spectral imaging technologies that cannot detect packaged fruits. In the present study, the detection of strawberries with impact damage is investigated using electronic nose (e-nose) technology. The results show that the e-nose technology can be used to detect strawberries that have suffered impact damage. The best model for detecting the extent of impact damage had a residual predictive deviation (RPD) value o

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Połap, Dawid, Alicja Winnicka, Kalina Serwata, Karolina Kęsik, and Marcin Woźniak. "An Intelligent System for Monitoring Skin Diseases." Sensors 18, no. 8 (2018): 2552. http://dx.doi.org/10.3390/s18082552.

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The practical increase of interest in intelligent technologies has caused a rapid development of all activities in terms of sensors and automatic mechanisms for smart operations. The implementations concentrate on technologies which avoid unnecessary actions on user side while examining health conditions. One of important aspects is the constant inspection of the skin health due to possible diseases such as melanomas that can develop under excessive influence of the sunlight. Smart homes can be equipped with a variety of motion sensors and cameras which can be used to detect and identify possi

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Park, Hyunjin, Seung-Ho Ham, Taekyeong Kim, and Donghyeok An. "Object Recognition and Tracking in Moving Videos for Maritime Autonomous Surface Ships." Journal of Marine Science and Engineering 10, no. 7 (2022): 841. http://dx.doi.org/10.3390/jmse10070841.

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In autonomous driving technologies, a camera is necessary for establishing a path and detecting an object. Object recognition based on images from several cameras is required to detect impediments in autonomous ships. Furthermore, in order to avoid ship collisions, it is important to follow the movements of recognized ships. In this paper, we use the Singapore Maritime Dataset (SMD) and crawling image for model training. Then, we present four YOLO-based object recognition models and evaluate their performance in the maritime environment. Then, we propose a tracking algorithm to track the ident

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Dr.G.Balram, Ravi Dr.Pallam, and Kumar Dr.K.Kiran. "Design of an IOT system along with UAV for tomato crops disease identification and classification by deep learning method." Research & Reviews: Journal of Internet & Networking 1, no. 1 (2025): 39–49. https://doi.org/10.5281/zenodo.14937078.

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<em>The tomato crops, in India very huge  cultivating  crop .in large scale  increase  yield of  crop needs water management, selection of seeds ,the right time of diseases detection and prevention action taken.  The farmers are not well skilled about diseases and its prevention action and those also facing labor shortages. We develop the a system which overcome the shortage of labor and lake of skills with emerge technologies, UAV used to take photos of field its avoid former move into field and play of pesticides, IOT technology used to keep some sensors in fiel

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Bajaj, Jaspreet Singh, Naveen Kumar, and Rajesh Kumar Kaushal. "Feasibility Study on Amalgamation of Multiple Measures to Detect Driver Drowsiness." ECS Transactions 107, no. 1 (2022): 1951–62. http://dx.doi.org/10.1149/10701.1951ecst.

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Driver drowsiness is one of the major causes of road accidents which leads to fatal and non-fatal injuries, sudden deaths, and substantial monetary losses. Due to advancements in technologies like Artificial Intelligence (AI), various approaches have been carried out to detect driver drowsiness at the early stage. The existing measures comprises certain issues like intrusiveness, variation in results, and tested in simulated environment only. A hybrid solution is the need for early detection of drowsiness of driver by amalgamation of multiple effective measures. Many researchers have concluded

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18

Subashini, P., A. Sivaramchaitanya, P. Sivasai, J. V. V. L. Sai Teja, and A. Hemanshureddy. "Automatic Street Light System." Journal of Computational and Theoretical Nanoscience 17, no. 4 (2020): 1642–45. http://dx.doi.org/10.1166/jctn.2020.8416.

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This project provides the simplest answer for power wastage. Conjointly the manual operation of the lighting system is totally replaced. In this project the LDR sensor is used to point a day/night time and also the microcontroller is used which is able to detect brightness of sunlight and the GSM module that acts on back side. The microcontroller Arduino board is employed as brain which is to manage the road lightweight system, The programming language used for developing the microcontroller is C language. The most important aim of the project is to avoid wasting the ability, by exploitation e

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19

T, Ostapovych. "Using AMAZON REKOGNITION artificial intelligence to recognize bank branch solar panels." Artificial Intelligence 29, AI.2024.29(3) (2024): 83–86. http://dx.doi.org/10.15407/jai2024.03.083.

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Bank branches carry out quality control of solar panels that ensure energy independence and uninterrupted operation of computer equipment in the conditions of an aggressive war caused by Russia, to ensure that the solar panels meet production standards and avoid potential damage to the brand reputation. As sensor costs decrease and connectivity increases, industry is using real-time image analysis to detect quality issues. At the same time, advances in artificial intelligence (AI) enable advanced automation, reduce overall project cost and time, and provide accurate defect detection results in

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20

Muñoz, Ernesto Cadena, Luis Fernando Pedraza, and Cesar Augusto Hernández. "Machine Learning Techniques Based on Primary User Emulation Detection in Mobile Cognitive Radio Networks." Sensors 22, no. 13 (2022): 4659. http://dx.doi.org/10.3390/s22134659.

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Mobile cognitive radio networks (MCRNs) have arisen as an alternative mobile communication because of the spectrum scarcity in actual mobile technologies such as 4G and 5G networks. MCRN uses the spectral holes of a primary user (PU) to transmit its signals. It is essential to detect the use of a radio spectrum frequency, which is where the spectrum sensing is used to detect the PU presence and avoid interferences. In this part of cognitive radio, a third user can affect the network by making an attack called primary user emulation (PUE), which can mimic the PU signal and obtain access to the

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Liang, Jia-Ming, Shashank Mishra, and Yu-Lin Cheng. "Applying Image Recognition and Tracking Methods for Fish Physiology Detection Based on a Visual Sensor." Sensors 22, no. 15 (2022): 5545. http://dx.doi.org/10.3390/s22155545.

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The proportion of pet keeping has increased significantly. According to the survey results of Business Next, the proportion of Taiwan families keeping pets was 70% in 2020. Among them, the total number of fish pets was close to 33% of the overall pet proportion. Therefore, aquarium pets have become indispensable companions for families. At present, many studies have discussed intelligent aquarium systems. Through image recognition based on visual sensors, we may be able to detect and interpret the physiological status of the fish according to their physiological appearance. In this way, it can

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Schumann, Arnold W. "Precise Placement and Variable Rate Fertilizer Application Technologies for Horticultural Crops." HortTechnology 20, no. 1 (2010): 34–40. http://dx.doi.org/10.21273/horttech.20.1.34.

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Fertilizer spreaders capable of variable rate application are increasingly important for enhancing nutrient management in horticultural crops because they improve placement and increase nutrient uptake efficiency. Matching applied fertilizer to fertilizer requirements represents a significant input cost saving for the grower and a reduction in potential pollutant loading to ground and surface water. Variable rate fertilization (VRF) is a precision agriculture technology made possible by embedded high-speed computers, accurate Global Positioning System (GPS) receivers, Geographic Information Sy

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P, Bharathisindhu, and Dr S.SelvaBrunda. "Probability Model for Intrusion Detection System in Mobile Adhoc Network." International Journal of Engineering & Technology 7, no. 2.20 (2018): 302. http://dx.doi.org/10.14419/ijet.v7i2.20.16722.

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Wireless technologies increasingly exist everywhere in advanced networks; however, this new innovation accompanies its own set of challenges. The nodes in the wireless network are characteristically ‘open’ and viewable by all network scanners. Networks are protected using many firewalls and encryption software’s. Firewalls restrict access between networks to prevent intrusion and do not indicate an attack within the network. An Intrusion Detection System (IDS) is required which monitors the network, detects misbehavior or anomalies and notifies other nodes in the network to avoid or punish the

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Choudhari, Prof Y. D. "Emotion Recognizing Virtual Assistant." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (2021): 1554–59. http://dx.doi.org/10.22214/ijraset.2021.35151.

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Virtual Assistants are the most effective product of AI which makes people’s life easier. They are used in many machines. With AI many other technologies are also born like emotion recognition. This paper presents the AI with the feature of emotion recognition. This AI will complete the task by considering the emotion of user. As so as it takes the command it will analyze the task but before it perform it will recognize the emotion of user and then according to it, it will proceed for task completion. We have used Python language with machine learning algorithm. It is very effective to detect

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Albasrawi, Roaa, Fajer F. Fadhil, and Mohammed Talal Ghazal. "Driver drowsiness monitoring system based on facial Landmark detection with convolutional neural network for prediction." Bulletin of Electrical Engineering and Informatics 11, no. 5 (2022): 2637–44. http://dx.doi.org/10.11591/eei.v11i5.3966.

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Several factors often contribute to car accidents, most of them caused by human error, and the most notable are drowsiness, fatigue, distracted driving, and alcohol. Although self-driving cars are the best solution to save human lives and avoid car accidents, they are expensive. The roads in many countries are not prepared for the movement of this type of car. Scare new technologies included in modern cars, such as backup cameras and sensors, contributed to keeping drivers safer in this paper. A driver monitoring system is based on determining the driver’s face’s main points, which provide the

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26

Miller, Craig, and Jordon Gilmore. "Detection of Quorum-Sensing Molecules for Pathogenic Molecules Using Cell-Based and Cell-Free Biosensors." Antibiotics 9, no. 5 (2020): 259. http://dx.doi.org/10.3390/antibiotics9050259.

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Since the discovery and subsequent use of penicillin, antibiotics have been used to treat most bacterial infections in the U.S. Over time, the repeated prescription of many antibiotics has given rise to many antibiotic-resistant microbes. A bacterial strain becomes resistant by horizontal gene transfer, where surviving microbes acquire genetic material or DNA fragments from adjacent bacteria that encode for resistance. In order to avoid significant bacterial resistance, novel and target therapeutics are needed. Further advancement of diagnostic technologies could be used to develop novel treat

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Bergholz, Alina, Gillis Greiwe, Karim Kouz, and Bernd Saugel. "Continuous Blood Pressure Monitoring in Patients Having Surgery: A Narrative Review." Medicina 59, no. 7 (2023): 1299. http://dx.doi.org/10.3390/medicina59071299.

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Hypotension can occur before, during, and after surgery and is associated with postoperative complications. Anesthesiologists should thus avoid profound and prolonged hypotension. A crucial part of avoiding hypotension is accurate and tight blood pressure monitoring. In this narrative review, we briefly describe methods for continuous blood pressure monitoring, discuss current evidence for continuous blood pressure monitoring in patients having surgery to reduce perioperative hypotension, and expand on future directions and innovations in this field. In summary, continuous blood pressure monit

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28

Chakraborty, Joyraj, Xin Wang, and Marek Stolinski. "Analysis of Sensitivity of Distance between Embedded Ultrasonic Sensors and Signal Processing on Damage Detectability in Concrete Structures." Acoustics 4, no. 1 (2022): 89–110. http://dx.doi.org/10.3390/acoustics4010007.

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Damage detection of reinforced concrete (RC) structures is becoming a more attractive domain due to the safety issues arising in the last few decades. The damage in concrete can be caused by excessive exploitation of the structure or environmental effects. The cracks in concrete can be detected by different nondestructive testing methods. However, the available methods used for this purpose have numerous limitations. The technologies available in the market nowadays have difficulties detecting slowly progressive, locally limited damage. In addition, some of these methods cannot be applied, esp

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Siguas, Rosa Perez, Eduardo Matta Solis, and Hernan Matta Solis. "Proposal for a Social Distancing Breach Identification Device to Prevent the Spread of COVID-19." International Journal of Emerging Technology and Advanced Engineering 11, no. 12 (2021): 177–81. http://dx.doi.org/10.46338/ijetae1221_19.

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— This research is based on the problem of the spread of COVID -19, so it is necessary to maintain social distancing to avoid its spread in the population, the Bluetooth sensor of the cell phone will be used to detect a contact, which will alert the person who You must keep your distance and record it, after this you can analyze the information collected from the contacts for decision-making in order to minimize the spread of COVID-19. The Scrum methodology was used to develop this system, modern technologies are also used in software development. As a final result, a prototype of the proposed

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Maté, Alejandro, Jesús Peral, Juan Trujillo, Carlos Blanco, Diego García-Saiz, and Eduardo Fernández-Medina. "Improving security in NoSQL document databases through model-driven modernization." Knowledge and Information Systems 63, no. 8 (2021): 2209–30. http://dx.doi.org/10.1007/s10115-021-01589-x.

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AbstractNoSQL technologies have become a common component in many information systems and software applications. These technologies are focused on performance, enabling scalable processing of large volumes of structured and unstructured data. Unfortunately, most developments over NoSQL technologies consider security as an afterthought, putting at risk personal data of individuals and potentially causing severe economic loses as well as reputation crisis. In order to avoid these situations, companies require an approach that introduces security mechanisms into their systems without scrapping al

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Noorul, Shajitha Banu H., T. Sangeeth, and Pandi M. |. Swathi M. |. Vishnu R. Saravana. "Alert System for Unmanned Railway Crossing using GPS A Survey." International Journal of Trend in Scientific Research and Development 2, no. 3 (2018): 49–52. https://doi.org/10.31142/ijtsrd10779.

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The main aim of this project is to provide a solution to unmanned railway crossing using a Smartphone based warning system. Protection of common people is indeed a challenge in today's world with the enormous growth in the transportation field over the past 5 years, around 613 have become victims to unmanned railways crossings and the count is increasing at an alarming rate. Statistics states that there are a total of 9340 unmanned level crossings in India which is prone to accidents. This system is mainly used to prevent these accidents through alarms by the use of GPS technologies. GPS c

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Trujillo, Isabel. "Rule of law, rule of men, and rule of women. Reforming power and decision-making processes." Milan Law Review 5, no. 1 (2024): 34–46. http://dx.doi.org/10.54103/milanlawreview/24199.

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The necessity to provide new guidance to States parties on ensuring equal and inclusive representation of women in decision-making systems according to Articles 7 and 8 of the CEDAW Convention presupposes a renewed vision of global and local governance that in my opinion passes through the reconsideration of the principle of the rule of law and its ability to avoid arbitrary power. On the one hand, a women-friendly rule of law should emphasize the demands of participation in deliberation and consultation in decision-making processes, both in formal and in informal settings. On the other hand,

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Kartheek, Pamarthi. "Investigation on SQL Injection Detection and Prevention Tools." Journal of Scientific and Engineering Research 8, no. 12 (2021): 271–80. https://doi.org/10.5281/zenodo.13347743.

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Among the many dangers that database-driven applications face, SQL Injection Attacks (SQLIAs) rank high. In point of fact, it makes it possible for an adversary to take control of the database of an application, and as a result, the adversary may find themselves in a position to modify data. Many surveys have been conducted to investigate this issue. In addition, a number of researchers have proposed various methods in order to identify and avoid this vulnerability; nevertheless, neither of these methods has been totally successful. In addition, some of these strategies have not yet been appli

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Huang, Shanlin. "Application of Digital Technology in the Operation and Safety of Rail Transit in China." Highlights in Science, Engineering and Technology 83 (February 27, 2024): 559–67. http://dx.doi.org/10.54097/cc7sys20.

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With the continuous improvement of living standards, people pay more and more attention to travel. Rail transit, as the main way for people to travel, has aroused widespread concern. In recent years, with the continuous progress and development of technology, more and more digital technologies have been applied to the field of rail transit, which has comprehensively improved the level of urban rail transit. This paper mainly discusses the application of digital technology in the field of rail transit safety and operation, and introduces the Device-to-Device Communication (D2D) technology, full

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Rodivilin, I. P., and V. V. Kolominov. "Criminological risks and qualification issues of public display of pornographic materials using the internet." Siberian Law Herald 1 (2024): 84–88. http://dx.doi.org/10.26516/2071-8136.2024.1.84.

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During the analysis of the phenomenon of “webcams” within the context of the criminal legislation of the Russian Federation, its social danger was investigated. Judicial practice was analyzed, and the author provided comments regarding its interpretation and understanding. Directions for further research and study of “webcams” from a legal perspective are proposed. The problem of illegal distribution of pornographic materials, especially involving minors, in the context of the development of digital and information-telecommunication technologies was identified. The author notes that such websi

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Benrabah, Mohamed Elamine, Ouahab Kadri, Kinza Nadia Mouss, and Abdelghani Lakhdari. "Faulty Detection System Based on SPC and Machine Learning Techniques." Revue d'Intelligence Artificielle 36, no. 6 (2022): 969–77. http://dx.doi.org/10.18280/ria.360619.

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Starting from a worrying observation, that companies have difficulties controlling the anomalies of their manufacturing processes, in order to have a better control over them, we have realized a case study on the practical data of the Fertial Complex to analyze the main parameters of the ammonia neutralization by nitric acid process. This article proposes a precise diagnostic of this process to detect dysfunction problems affecting the final product. We start with a general diagnosis of the process using the SPC method, this approach is considered an excellent way to monitor and improve the pr

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Agilandeswari, V., Muddasir Basheer, Shayari Bagchi, Gowtham Menon, and P. Muthu Prasanna. "Cognitive Computing in Respiratory Health: Revolutionizing Medicine Through Artificial Intelligence(AI) And Machine Learning (ML)." International Journal of Advancement in Life Sciences Research 07, no. 03 (2024): 55–64. http://dx.doi.org/10.31632/ijalsr.2024.v07i03.005.

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Human errors in medical practice can lead to misdiagnosis, resulting in inappropriate treatment and serious risks to patient health. Artificial Intelligence (AI) and Machine Learning (ML) have emerged as a valuable tool for reducing such errors, particularly in medical diagnostics. These technologies can rapidly and accurately analyze large volumes of data, providing additional insights that help healthcare professionals to make more accurate decisions. AI excels in providing solid evidence to guide clinical decisions, reducing reliance on subjective judgments. It can analyse complex datasets

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Farooq, Muhammad Shoaib, Haris Khalid, Ansif Arooj, et al. "A Conceptual Multi-Layer Framework for the Detection of Nighttime Pedestrian in Autonomous Vehicles Using Deep Reinforcement Learning." Entropy 25, no. 1 (2023): 135. http://dx.doi.org/10.3390/e25010135.

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The major challenge faced by autonomous vehicles today is driving through busy roads without getting into an accident, especially with a pedestrian. To avoid collision with pedestrians, the vehicle requires the ability to communicate with a pedestrian to understand their actions. The most challenging task in research on computer vision is to detect pedestrian activities, especially at nighttime. The Advanced Driver-Assistance Systems (ADAS) has been developed for driving and parking support for vehicles to visualize sense, send and receive information from the environment but it lacks to detec

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Trabelsi, Zouheir, Syed Sarmad Shah, and Kadhim Hayawi. "Multi-BSM: An Anomaly Detection and Position Falsification Attack Mitigation Approach in Connected Vehicles." Electronics 11, no. 20 (2022): 3282. http://dx.doi.org/10.3390/electronics11203282.

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With the dawn of the emerging technologies in the field of vehicular environment, connected vehicles are advancing at a rapid speed. The advancement of such technologies helps people daily, whether it is to reach from one place to another, avoid traffic, or prevent any hazardous incident from occurring. Safety is one of the main concerns regarding the vehicular environment when it comes to developing applications for connected vehicles. Connected vehicles depend on messages known as basic safety messages (BSMs) that are repeatedly broadcast in their communication range in order to obtain infor

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Azzahra, Zakila, Siska Alicia Farma, and Moralita Chatri. "REVIEW ARTIKEL: TINJAUAN KOMPARATIF METODE DIAGNOSTIK GAGAL GINJAL: DARI KLINIS KONVENSIONAL HINGGA KECERDASAN BUATAN." JURNAL BIOSENSE 8, no. 3 (2025): 279–90. https://doi.org/10.36526/biosense.v8i3.5231.

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Kidney failure is one of the global health issues with a continuously increasing prevalence. Early identification of this disease is very important to avoid more severe kidney damage. Various diagnostic methods have been developed to detect kidney failure, both through laboratory techniques, medical imaging, and new sensor-based and artificial intelligence technologies. This article discusses the comparison of several commonly used methods in the identification of kidney failure. In this article, the comparison aims to provide an overview of the effectiveness of various methods in diagnosing k

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Fu, Xiuhua, Rongqun Peng, Wenhao Yuan, et al. "Federated Learning-Based Resource Management with Blockchain Trust Assurance in Smart IoT." Electronics 12, no. 4 (2023): 1034. http://dx.doi.org/10.3390/electronics12041034.

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Resource management is a key issue that needs to be addressed in the future smart Internet of Things (IoT). This paper focuses on a Federated Learning (FL)-based resource management mechanism in IoT. It incorporates blockchain technology to guarantee the security of the FL model parameters exchange. We propose an IoT resource management framework incorporating blockchain and federated learning technologies; then, a specific FL-based resource management with a blockchain trust assurance algorithm is given. We use a Support Vector Machine (SVM) classifier to detect malicious nodes in order to av

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Parada, Raúl, Joan Melià-Seguí, and Rafael Pous. "Anomaly Detection Using RFID-Based Information Management in an IoT Context." Journal of Organizational and End User Computing 30, no. 3 (2018): 1–23. http://dx.doi.org/10.4018/joeuc.2018070101.

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IoT-based environments may infer anomalies based on the data processed from their heterogeneous sensors. Within the technologies evolving the IoT concept, nowadays the Radio Frequency Identification (RFID) technology is a de facto standard in areas like retail or logistics. For instance, most retailers attach RFID-labels to their items to avoid stock-out in the inventory or speed up cash processes. Besides identification, RFID provides further RF data which can be used for information management like anomaly detection (i.e. a shoplifting in a RFID loss prevention system). This manuscript prese

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Pansare, Dr Jayshree, Ranjeet Deshpande, Shubham Shingare, Harshal Deokar, and Piyush Manwar. "Real-time Driver Drowsiness Detection with Android." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (2022): 441–45. http://dx.doi.org/10.22214/ijraset.2022.42210.

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Abstract: Major causes for the road accidents are Driver Fatigue and Distraction. Recently many driver monitoring systems have been proposed for monitoring driver activities to avoid accidents. Almost all the systems which exists till date are in the specialized embedded or hardware form, which are present in expensive and luxurious cars. This research paper presents a cost efficient approach to detect driver fatigue and monitor dizziness/drowsiness in real-time. An intelligent android app to monitor driver fatigue and distraction during travel using Adaptive Template Matching and Adaptive Boo

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Banu, Muskan, and Prof Kavitha G. "Credit Card Fraud Detection Using Machine Learning Algorithms." International Journal for Research in Applied Science and Engineering Technology 10, no. 10 (2022): 1018–23. http://dx.doi.org/10.22214/ijraset.2022.47127.

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Abstract: Credit Card Fraud can be defined as a case where a person uses someone else’s credit card for personal reasons while the owner and the card-issuing authorities are unawareof the fact that the card is being used. Credit card frauds are easy and friendly targets. E-commerce and many other online sites have increased the online payment modes, increasing the risk for online frauds. In the era of digitalization, the need to identify credit card frauds is necessary. Fraud detection involves monitoring and analyzing the behaviour of various users to estimate, detect or avoid undesirable beh

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Jha, Kushagra Aditya. "Improving Cybersecurity: The role of ai in identifying and preventing threats." Journal of Advances and Scholarly Researches in Allied Education 21, no. 7 (2024): 129–35. https://doi.org/10.29070/jkyjev53.

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Cybersecurity is a major worry for individuals, corporations, and governments as digital technologies grow more prevalent. Cyberattacks are becoming more complex & dynamic, making traditional methods of threat identification and prevention inadequate. In the realm of cybersecurity, AI mostly serves to detect and prevent threats. By utilizing machine learning techniques & extensive data analysis, artificial intelligence may identify patterns and irregularities in network traffic and user behavior that could suggest a possible cyberattack. One way AI can help stop assaults is by using pr

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Karim, Ahmad, Victor Chang, and Ahmad Firdaus. "Android Botnets." Journal of Organizational and End User Computing 32, no. 3 (2020): 50–67. http://dx.doi.org/10.4018/joeuc.2020070105.

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Mobile botnets are gaining popularity with the expressive demand of smartphone technologies. Similarly, the majority of mobile botnets are built on a popular open source OS, e.g., Android. A mobile botnet is a network of interconnected smartphone devices intended to expand malicious activities, for example; spam generation, remote access, information theft, etc., on a wide scale. To avoid this growing hazard, various approaches are proposed to detect, highlight and mark mobile malware applications using either static or dynamic analysis. However, few approaches in the literature are discussing

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Saxena, Onkar, Shikha Agrawal, and Sanjay Silakari. "Plant Disease Detection Techniques based on Deep Learning Models: A Review." Computer Science & Engineering: An International Journal 12, no. 1 (2022): 147–56. http://dx.doi.org/10.5121/cseij.2022.12115.

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Plants must be checked at an early stage of their life cycle in order to avoid illnesses. Visual observation, which takes longer, and costly expertise are the conventional approach utilised for this monitoring. Therefore, illness detection systems need to be automated in order to speed up this procedure. This study analyses the possibility of technologies for the identification of pest leaf diseases in plants to support agricultural growth. It covers many processes, such as image retrieval, image segmentation, extraction of features and classification. Two key phases comprise plant disease det

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Gandhi, Sahil, Sachin Walunjakar, Vedant Chaudhary, and Parth Joshi. "Banana Leaf Disease Detection Using Deep Learning Approach." International Journal for Research in Applied Science and Engineering Technology 10, no. 12 (2022): 119–21. http://dx.doi.org/10.22214/ijraset.2022.47767.

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Abstract: India is an agriculture based country. A major part of population depend on agriculture for their income. In such a case, where agriculture is important for survival, plant diseases are a real problem and prove to be an obstacle in the way of farmers. In some cases, a majority of yield has to face damage because of late detection of diseases. This has a direct effect on the life of farmers and they have to bear a loss. To avoid these negative impacts we have developed a project for detection of diseases in banana plant. Using the technologies and techniques of machine learning and de

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Bartali, Ruben, Michele Bolognese, Nicola Fronza, et al. "Study on carnauba wax as phase-change material integrated in evacuated-tube collector for solar-thermal heat production." Clean Energy 7, no. 3 (2023): 547–54. http://dx.doi.org/10.1093/ce/zkac088.

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Abstract The evacuated-tube collector (ETC) for solar heat production is one of the most efficient systems to convert Sun energy into usable energy. Unfortunately, some technological barriers are still present in solar-thermal heat systems that limit the use of these technologies to decarbonize processes. An important obstacle is the requirement for heat at stable temperatures, which is not always achievable by solar fields, e.g. variable sky. For that reason, in this work, we studied the phase-change materials embedded in the ETC to keep stable the water temperature for a short period (minute

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Garmendia-Orbegozo, Asier, Miguel Angel Anton, and Jose David Nuñez-Gonzalez. "Reduction of Vision-Based Models for Fall Detection." Sensors 24, no. 22 (2024): 7256. http://dx.doi.org/10.3390/s24227256.

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Due to the limitations that falls have on humans, early detection of these becomes essential to avoid further damage. In many applications, various technologies are used to acquire accurate information from individuals such as wearable sensors, environmental sensors or cameras, but all of these require high computational resources in many cases, delaying the response of the entire system. The complexity of the models used to process the input data and detect these activities makes them almost impossible to complete on devices with limited resources, which are the ones that could offer an immed

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