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Journal articles on the topic 'Location Intelligence'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

A, Eicher,. "Location intelligence: Where am I and why? Location Intelligence: Wo bin ich und warum?" GIS Business 11, no. 6 (2016): 8–12. http://dx.doi.org/10.26643/gis.v11i6.5246.

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BUTZ, ANDREAS. "BETWEEN LOCATION AWARENESS AND AWARE LOCATIONS: WHERE TO PUT THE INTELLIGENCE." Applied Artificial Intelligence 18, no. 6 (2004): 501–12. http://dx.doi.org/10.1080/08839510490462830.

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Xu, Xinping, Bo Li, Minming Li, and Lingjie Duan. "Two-facility Location Games with Minimum Distance Requirement." Journal of Artificial Intelligence Research 70 (February 17, 2021): 719–56. http://dx.doi.org/10.1613/jair.1.12319.

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We study the mechanism design problem of a social planner for locating two facilities on a line interval [0, 1], where a set of n strategic agents report their locations and a mechanism determines the locations of the two facilities. We consider the requirement of a minimum distance 0 ≤ d ≤ 1 between the two facilities. Given the two facilities are heterogeneous, we model the cost/utility of an agent as the sum of his distances to both facilities. In the heterogeneous two-facility location game to minimize the social cost, we show that the optimal solution can be computed in polynomial time an

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Weber, Patrick, and Dave Chapman. "Location Intelligence: An Innovative Approach to Business Location Decision-making." Transactions in GIS 15, no. 3 (2011): 309–28. http://dx.doi.org/10.1111/j.1467-9671.2011.01253.x.

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Ponjavic, Mirza, Almir Karabegovic, Samir Omanovic, and Ingmar Besic. "Location Intelligence for Gas Transportation Infrastructure." Problemy Zarządzania - Management Issues 5/2019, no. 85 (2019): 40–55. http://dx.doi.org/10.7172/1644-9584.85.3.

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Hong, Gahye, and Eunmi Kim. "Cultural intelligence in the choice of international assignments." Social Behavior and Personality: an international journal 50, no. 5 (2022): 1–7. http://dx.doi.org/10.2224/sbp.10218.

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We investigated the relationship between expatriate candidates' cultural intelligence (CQ) and organizational attractiveness, and examined the moderating role of the host location as a boundary condition of this relationship. Korean participants (N = 407) randomly took one of two assignment locations (Vietnam or US) and answered questions on individual ability in acceptance of cultures, and willingness to be assigned to an expatriate position in each location. Results show that CQ was positively related to organizational attractiveness, and applicants with high CQ were more positive in their c

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Kim, Dongeon, Jonghak Lee, Wan-Young Chung, and Jangmyung Lee. "Artificial Intelligence-Based Optimal Grasping Control." Sensors 20, no. 21 (2020): 6390. http://dx.doi.org/10.3390/s20216390.

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A new tactile sensing module was proposed to sense the contact force and location of an object on a robot hand, which was attached on the robot finger. Three air pressure sensors are installed at the tip of the finger to detect the contacting force at the points. To obtain a nominal contact force at the finger from data from the three air pressure sensors, a force estimation was developed based upon the learning of a deep neural network. The data from the three air pressure sensors were utilized as inputs to estimate the contact force at the finger. In the tactile module, the arrival time of t

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Yunxiang, Zhang, and Wang Bin. "Stability Control of Position Flow Fuzzy Estimation in Swarm Intelligence Aware Privacy Protection." Wireless Communications and Mobile Computing 2023 (January 30, 2023): 1–8. http://dx.doi.org/10.1155/2023/4792248.

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The group intelligence perception privacy protection model is a method to achieve the balance between user privacy and service requests through the cooperation between users using location services and has a good perception effect. In order to better protect the location privacy of network users and improve the stability control effect of fuzzy estimation of location flow, this paper designs a stability control method of fuzzy estimation of location flow in group intelligent perception privacy protection. This method uses the group intelligence aware privacy protection model to obtain the user

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Zucco, Gesualdo M., Alessandra Tessari, and Salvatore Soresi. "Remembering Spatial Locations: Effects of Material and Intelligence." Perceptual and Motor Skills 80, no. 2 (1995): 499–503. http://dx.doi.org/10.2466/pms.1995.80.2.499.

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The aim of the present work was to test some of the criteria for automaticity of spatial-location coding claimed by Hasher and Zacks, particularly individual differences (as intelligence invariance) and effortful encoding strategies. Two groups of subjects, 15 with mental retardation (Down Syndrome, mean chronological age, 20.9 yr.; mean mental age, 11.6 yr.) and 15 normal children (mean age, 11.5 yr.), were administered four kinds of stimuli (pictures, concrete words, nonsense pictures, and abstract words) at one location on a card. Subsequently, subjects were presented the items on the card'

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Pandiaraj, S., Dr J. Sreerambabu, and D. Rajkumar. "Virtual Fence Geospatial Intelligence to Protect Enterprise Cloud Server Data." International Journal for Research in Applied Science and Engineering Technology 10, no. 8 (2022): 970–74. http://dx.doi.org/10.22214/ijraset.2022.46319.

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Abstract: Data sharing and access area unit capabilities businesses and organizations need the foremost currently. Remote operating and mobile access to resources and collaboration platforms created it easier to access knowledge and resources from anyplace, anytime. Employees need to access documents and email from completely different devices, and from varied locations at a time. Access from untrusted networks is usually a threat to businesses. This may lead to knowledge loss and overexposure of essential knowledge. To mitigate the deficiencies of logical security mechanisms, and coinciding w

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Rohilla, Vinita, Sudeshna Chakraborty, and Mandeep Kaur. "Artificial Intelligence and Metaheuristic-Based Location-Based Advertising." Scientific Programming 2022 (March 31, 2022): 1–10. http://dx.doi.org/10.1155/2022/7518823.

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Location-based services (LBS) are necessary for obtaining the important details since the user needs vary based on the location. Location-based advertising (LBA) are utilized for abandoning the user location and to offer assistance by using the obtained information. Therefore, an efficient machine learning and metaheuristic-based model referred as GANM is designed for LBS. Initially, the potential location information is evaluated utilizing the geographic information system (GIS). Thereafter, significant features are computed using the location data. Obtained features are then segmented to imp

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A.Karunamurthy,, Dr. "LOCATION- BASED SECURITY FOR PREVENTING DATA EXPOSURE IN CORPORATE ENVIRNOMENT." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem49363.

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ABSTRACT: In today’s increasingly connected world, secure data sharing and access have become essential for businesses and organizations. With the advent of remote working and mobile access to resources, employees expect seamless access to documents, emails, and collaboration platforms from various devices and locations, often across different networks. However, accessing critical data from untrusted networks presents significant security risks, including potential data loss and unauthorized exposure of sensitive information. To address these challenges, traditional logical security mechanisms

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Fikri Fathurrahman, Khairil Anwar, and Samsun. "Analisis Software Semi Otomatis dan Artificial Intelligence Dalam Menentukan Letak Kalsifikasi dan Nilai Agatstone Score." JRI (Jurnal Radiografer Indonesia) 7, no. 1 (2024): 19–24. http://dx.doi.org/10.55451/jri.v7i1.261.

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Background: Medically, an important indicator from cardiovascular disease is the enhancement of calcification. For that reason, the assessment of Calcium Score and Artificial Intelligence have the same potential to help or even to replace human role, hence, it can reduce clinical work burden and improving an efficiency. This research aims to analyze a difference between Artificial Intelligence and semi-automatic methods in determining the calcification location and Agatstone Score value undertaken at Radiology and Nuclear Cardiology Installation of Harapan Kita Heart and Blood Vessel Hospital,

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Jiang, Shenghao, Saeed Mashdoor, Hamid Parvin, Bui Anh Tuan, and Kim-Hung Pho. "An Adaptive Location-Aware Swarm Intelligence Optimization Algorithm." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 29, no. 02 (2021): 249–79. http://dx.doi.org/10.1142/s0218488521500128.

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Optimization is an important and decisive task in science. Many optimization problems in science are naturally too complicated and difficult to be modeled and solved by the conventional optimization methods such as mathematical programming problem solvers. Meta-heuristic algorithms that are inspired by nature have started a new era in computing theory to solve the optimization problems. The paper seeks to find an optimization algorithm that learns the expected quality of different places gradually and adapts its exploration-exploitation dilemma to the location of an individual. Using birds’ cl

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Benahmed Daho, A., and H. Bekhelifi. "ARCHITECTING LOCATION INTELLIGENCE PLATFORMS USING OPEN-SOURCE COMPONENTS." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B4-2021 (June 30, 2021): 275–80. http://dx.doi.org/10.5194/isprs-archives-xliii-b4-2021-275-2021.

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Abstract. Location Intelligence is an emerging application of geospatial industry. It allows professionals from different business domains (finance, disaster management, retail, health) and with minimum expertise in GIS technologies to use efficiently many spatial analysis tools and algorithms to solve their day-to-day problems. One of the major characteristics of Location Intelligence is the use of multisource and alternative data either user ingested or directly available in the platform (by geo-enrichment).In this contribution we investigate the architectural challenges raised by the develo

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Nafa, Hassina, and Husam R. Husain. "Modelling Macro Scale Spatial Analysis: Location Intelligence Application." Civil Engineering and Architecture 9, no. 7 (2021): 2556–69. http://dx.doi.org/10.13189/cea.2021.090738.

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Gutierrez, Jose M., Michael Jensen, Morten Henius, and Tahir Riaz. "Smart Waste Collection System Based on Location Intelligence." Procedia Computer Science 61 (2015): 120–27. http://dx.doi.org/10.1016/j.procs.2015.09.170.

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18

Семенова, Олена, Андрій Семенов, Андрій Луцишин, and Вадим Дира. "Artificial Intelligence Techniques for Mobile Station Location Estimation." Security of Infocommunication Systems and Internet of Things, no. 1 (June 30, 2023): 01006. http://dx.doi.org/10.31861/sisiot2023.1.01006.

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Modern wireless communication systems require positioning functions, which provide are automatic location estimation of stations within a network. However, when new networks are implemented, much higher accuracy is required when determining geographical coordinates of a mobile station to develop of services related to the station location. To solve the problem of mobile station positioning, its geographical coordinates are calculated, coordinates of the closest base stations being known. The paper proposes to use a genetic neuro-fuzzy controller for improving the effectiveness of positioning a

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Senoner, Thomas, Bernhard Pfeifer, Fabian Barbieri, et al. "Identifying the Location of an Accessory Pathway in Pre-Excitation Syndromes Using an Artificial Intelligence-Based Algorithm." Journal of Clinical Medicine 10, no. 19 (2021): 4394. http://dx.doi.org/10.3390/jcm10194394.

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(1) Background: The exact anatomic localization of the accessory pathway (AP) in patients with Wolff–Parkinson–White (WPW) syndrome still relies on an invasive electrophysiologic study, which has its own inherent risks. Determining the AP localization using a 12-lead ECG circumvents this risk but is of limited diagnostic accuracy. We developed and validated an artificial intelligence-based algorithm (location of accessory pathway artificial intelligence (locAP AI)) using a neural network to identify the AP location in WPW syndrome patients based on the delta-wave polarity in the 12-lead ECG. (

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Chen, Meng, Qingjie Liu, Weiming Huang, Teng Zhang, Yixuan Zuo, and Xiaohui Yu. "Origin-Aware Location Prediction Based on Historical Vehicle Trajectories." ACM Transactions on Intelligent Systems and Technology 13, no. 1 (2022): 1–18. http://dx.doi.org/10.1145/3462675.

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Next location prediction is of great importance for many location-based applications and provides essential intelligence to various businesses. In previous studies, a common approach to next location prediction is to learn the sequential transitions with massive historical trajectories based on conditional probability. Nevertheless, due to the time and space complexity, these methods (e.g., Markov models) only utilize the just passed locations to predict next locations, neglecting earlier passed locations in the trajectory. In this work, we seek to enhance the prediction performance by incorpo

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Cajias, Marcelo, and Anett Wins. "Data intelligence and real estate – machines are the real game changer." Journal of Property Investment & Finance 40, no. 3 (2021): 306–10. http://dx.doi.org/10.1108/jpif-11-2021-0101.

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PurposeThe paper shows with two concrete examples about how algorithms are used in active real estate management. The paper also highlights that the discussion about the adoption of new technologies is crucial for market players.Design/methodology/approach The authors review the current status quo about new technologies in real estate and provide two examples of how algorithms can be used to understand locations and the value drivers of rents.FindingsLocation, location, location is nowadays data, data, data coupled with the knowledge of how to create life out of data. Algorithm can help to und

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Vaishyak, Nidhi, and Sureshchnadra Joshi. "A Correlation Study of Personality with Emotional Intelligence and Social Anxiety among Higher Secondary Gender, Area and Standard." RESEARCH REVIEW International Journal of Multidisciplinary 8, no. 3 (2023): 259–65. http://dx.doi.org/10.31305/rrijm.2023.v08.n03.032.

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This study aims to investigate the potential correlations between gender, school location, school type, emotional intelligence, and social anxiety. The research analyzed data from a sample of students across different schools to determine the relationships between these variables. The findings indicate that there is no significant correlation between gender and emotional intelligence, school location and emotional intelligence, emotional quotient and kind of school, gender and social anxiety, school location and social anxiety, and social anxiety and school type. The study highlights the impor

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Jia, Yantao, Yuanzhuo Wang, Xiaolong Jin, and Xueqi Cheng. "Location Prediction." ACM Transactions on Intelligent Systems and Technology 7, no. 3 (2016): 1–25. http://dx.doi.org/10.1145/2816824.

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Bhowmik, Anirban, and Sunil Karforma. "Hybrid Intelligence and GPS: Design of a Location-Based Cryptosystem for Data Security in Computer Network." Journal of Network Security Computer Networks 10, no. 2 (2024): 12–27. http://dx.doi.org/10.46610/jonscn.2024.v10i02.002.

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In mobile applications or the case of vehicles, the concept of Location-based Encryption is instrumental in increasing data security. Location-based encryption is one type of security algorithm where decryption or data access is bound to specified locations and times. This algorithm only provides an additional layer of security to the existing one. In this paper, we have tried to design a cryptosystem based on the longitude and latitude of a location. Here, we assume one object is moving (vehicle, mobile device, etc.) and another is fixed in an area. The encryption-decryption process can be do

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Ayfantopoulou, Georgia, Marios Nikolaos Militsis, Josep Maria Salanova Grau, and Socrates Basbas. "Improving Map Matching of Floating Car Data with Artificial Intelligence Techniques." Information 13, no. 11 (2022): 508. http://dx.doi.org/10.3390/info13110508.

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Map matching is a crucial data processing task for transferring measurements from the dynamic sensor location to the relevant road segment. It is especially important when estimating road network speed by using probe vehicles (floating car data) as speed measurement sensors. Most common approaches rely on finding the closet road segment, but road network geometry (e.g., dense areas, two-way streets, and superposition of road segments due to different heights) and inaccuracy in the GNSS location (up to decades of meters in urban areas) can wrongly allocate up to 30% of the measurements. More ad

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HUANG, YAN, PUSHENG ZHANG, and CHENGYANG ZHANG. "ON THE RELATIONSHIPS BETWEEN CLUSTERING AND SPATIAL CO-LOCATION PATTERN MINING." International Journal on Artificial Intelligence Tools 17, no. 01 (2008): 55–70. http://dx.doi.org/10.1142/s0218213008003777.

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The goal of spatial co-location pattern mining is to find subsets of spatial features frequently located together in spatial proximity. Example co-location patterns include services requested frequently and located together from mobile devices (e.g., PDAs and cellular phones) and symbiotic species in ecology (e.g., Nile crocodile and Egyptian plover). Spatial clustering groups similar spatial objects together. Reusing research results in clustering, e.g. algorithms and visualization techniques, by mapping co-location mining problem into a clustering problem would be very useful. However, direc

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Spann, Martin, Dominik Molitor, and Stephan Daurer. "Tell Me Where You Are and I’ll Tell You What You Want: Using Location Data to Improve Marketing Decisions." GfK Marketing Intelligence Review 8, no. 2 (2016): 30–37. http://dx.doi.org/10.1515/gfkmir-2016-0013.

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Abstract Location data has become more and more accessible. Smartphone applications such as location-based services collect location data on a large scale. Up to now, most approaches have relied on past data, but new developments in machine learning and artificial intelligence will soon enable more dynamic real-time use of location data. Companies that embrace these technologies will be able to create competitive advantages. Location data offers great potential to improve a variety of marketing decisions such as targeted pricing and advertising, store locations and in-store layout. Location ba

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Saraga, Fernanda, and Frances K. Skinner. "Location, location, location (and density) of gap junctions in multi-compartment models." Neurocomputing 58-60 (June 2004): 713–19. http://dx.doi.org/10.1016/j.neucom.2004.01.118.

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Likhyani, Ankita, Srikanta Bedathur, and Deepak P. "Location-Specific Influence Quantification in Location-Based Social Networks." ACM Transactions on Intelligent Systems and Technology 10, no. 3 (2019): 1–28. http://dx.doi.org/10.1145/3300199.

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Özkul, Didem. "The algorithmic fix: Location intelligence, placemaking, and predictable futures." Convergence: The International Journal of Research into New Media Technologies 27, no. 3 (2021): 594–608. http://dx.doi.org/10.1177/13548565211005644.

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With this article, I introduce the ‘algorithmic fix’ as a framework to analyze contemporary placemaking practices. I discuss how algorithmic practices of placemaking govern and control mobilities. I theorize such practices as the ‘algorithmic fix’, where location determination technologies, data practices, and machine learning algorithms are used together to ‘get a fix on’ our whereabouts with the aim of sorting and classifying both people and places. Through a case study of location intelligence, I demonstrate how these digital placemaking practices do not only control and prevent physical mo

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Gerber, Todd M., Ping Du, Janelle Armstrong-Brown, Louise-Anne McNutt, and F. Bruce Coles. "Charting a Path to Location Intelligence for STD Control." Public Health Reports 124, no. 2_suppl (2009): 49–57. http://dx.doi.org/10.1177/00333549091240s208.

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Pavalarajan, S., and R. Krishna Moorthy. "Swarm Intelligence Based Location Estimation for Wireless Sensor Network." Applied Mechanics and Materials 573 (June 2014): 424–28. http://dx.doi.org/10.4028/www.scientific.net/amm.573.424.

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Object tracking is a noteworthy application in the field of wireless sensor networks that has attracted major Research attention recently. Most object tracking schemes uses prediction scheme to minimize the energy consumption and to maintain low missing rate in a sensor network. However objects need to be localize, when object was found missing during tracking process. In this article, we proposed a swarm intelligence mechanism, such as particle swarm optimization (PSO) to accurately estimate the location of the missing object, using updated object position and velocity and the extensive simul

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Liu, Peng Kun, Wei Jiang, and Hui Jun Ren. "Faults Location of Cascaded Inverter Based on Artificial Intelligence." Applied Mechanics and Materials 575 (June 2014): 635–39. http://dx.doi.org/10.4028/www.scientific.net/amm.575.635.

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Cascaded H-bridges inverter has been gaining its ground in recent years because it can satisfy high voltage and power applications with medium volume semiconductors; however, it uses much more semiconductors than the traditional inverters which would increase the fault possibilities. Just because this case Cascaded H-bridges inverter is limited in many important industrial fields. In this paper, we, firstly, discussed the basic unit of Cascaded H-bridges inverter (namely, full-bridge inverter) and classify its inner faults, then we proposed a method to spot the faulty IGBT using neural network

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Ponjavic, Mirza, and Almir Karabegovic. "Location Intelligence Systems and Data Integration for Airport Capacities Planning." Computers 8, no. 1 (2019): 13. http://dx.doi.org/10.3390/computers8010013.

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This paper describes an approach introducing location intelligence using open-source software components as the solution for planning and construction of the airport infrastructure. As a case study, the spatial information system of the International Airport in Sarajevo is selected. Due to the frequent construction work on new terminals and the increase of existing airport capacities, as one of the measures for more efficient management of airport infrastructures, the development team has suggested to airport management to introduce location intelligence, meaning to upgrade the existing inform

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Muñoz-Organero, Mario, and Claudia Brito-Pacheco. "Improving Accuracy and Simplifying Training in Fingerprinting-Based Indoor Location Algorithms at Room Level." Mobile Information Systems 2016 (2016): 1–16. http://dx.doi.org/10.1155/2016/2682869.

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Fingerprinting-based algorithms are popular in indoor location systems based on mobile devices. Comparing the RSSI (Received Signal Strength Indicator) from different radio wave transmitters, such as Wi-Fi access points, with prerecorded fingerprints from located points (using different artificial intelligence algorithms), fingerprinting-based systems can locate unknown points with a few meters resolution. However, training the system with already located fingerprints tends to be an expensive task both in time and in resources, especially if large areas are to be considered. Moreover, the deci

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Dellorso, Scott, and James Schirillo. "Light Location Influences the Perceived Locations of Internal Sounds." Perception 39, no. 1 (2010): 91–102. http://dx.doi.org/10.1068/p6149.

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Makridis, John, Konstantinos Vassakis, Ioannis Kopanakis, and Emmanuel Petrakis. "Location intelligence for tourism destinations: a big data comparative analysis through location-based social networks." International Journal of Tourism Policy 11, no. 3 (2021): 247. http://dx.doi.org/10.1504/ijtp.2021.10042331.

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Vassakis, Konstantinos, Emmanuel Petrakis, Ioannis Kopanakis, and John Makridis. "Location intelligence for tourism destinations: a big data comparative analysis through location-based social networks." International Journal of Tourism Policy 11, no. 3 (2021): 247. http://dx.doi.org/10.1504/ijtp.2021.118664.

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V, Praseeda. "A Study on the Level of Philosophical Intelligence Among Graduate Student Teachers of KeralaUn estudio sobre el nivel de inteligencia filosófica entre estudiantes de posgrado de profesores de Kerala." Salud, Ciencia y Tecnología - Serie de Conferencias 4 (February 27, 2025): 1521. https://doi.org/10.56294/sctconf20251521.

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ABSTRACT IntroductionPhilosophical intelligence refers to the ability to critically consider fundamental issues related to existence, values, knowledge, and purpose. It involves exploring abstract ideas, ethical dilemmas, and synthesizing different perspectives to form a coherent worldview. This intelligence promotes wisdom, introspection, and the ability to approach life’s challenges with logical discernment. The current study aimed to assess the philosophical intelligence of graduate student teachers in Kerala and examine if gender, location, or socioeconomic status influenced their philosop

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Li, Jie, Xingwei Wang, Jie Jia, Pengfei Wang, Yan Zhou, and Zhijie Zhao. "Location Prediction-Based Data Dissemination Using Swarm Intelligence in Opportunistic Cognitive Networks." Mathematical Problems in Engineering 2014 (2014): 1–15. http://dx.doi.org/10.1155/2014/453564.

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Swarm intelligence is widely used in the application of communication networks. In this paper we adopt a biologically inspired strategy to investigate the data dissemination problem in the opportunistic cognitive networks (OCNs). We model the system as a centralized and distributed hybrid system including a location prediction server and a pervasive environment deploying the large-scale human-centric devices. To exploit such environment, data gathering and dissemination are fundamentally based on the contact opportunities. To tackle the lack of contemporaneous end-to-end connectivity in opport

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Brennan, Shelby, Stephen Coulthart, and Brian Nussbaum. "The Brave New World of Third Party Location Data." Journal of Strategic Security 16, no. 2 (2023): 81–95. http://dx.doi.org/10.5038/1944-0472.16.2.2070.

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The use of third-party location data (3PLD)—geospatial data captured by smart devices and sold by ‘data brokers’—for intelligence and investigations is increasing each year. This data source provides opportunities for analysts and decision makers to better understand as well as counter a host of security threats from common criminals to terrorists. However, and like other emerging and potent sources of intelligence like social media intelligence (SOCMINT), 3PLD must also be wielded legitimately by the government. We argue that the in the US context the legal framework surrounding these data is

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Moreno Pérez, José A., J. Marcos Moreno Vega, and José L. Verdegay. "Fuzzy location problems on networks." Fuzzy Sets and Systems 142, no. 3 (2004): 393–405. http://dx.doi.org/10.1016/s0165-0114(03)00091-5.

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Oluchukwu Uzoamaka, Ekwealor,, Chukwudum, Chiemeka Prince, Betrand, Chidi Ukamaka, Uchefuna Charles Ikenna, and Ibeh, Charles Austeen. "Artificial Intelligence-Based Hospital Recommendation System." International Journal of Research and Innovation in Applied Science X, no. IV (2025): 1216–21. https://doi.org/10.51584/ijrias.2025.10040097.

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This paper is focused on the development of AI-based hospital recommendation system to enable users find suitable healthcare facilities based on location, ratings, and patient reviews. By leveraging machine learning, the system can analyze the patient data and hospital attributes to provide personalized hospital recommendations. During the system development, hospital data, including location, reviews, and ratings were collected, cleaned and prepared for analysis. Machine learning algorithms, such as collaborative filtering and content-based filtering were employed. The best-performing model w

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Sufi, Fahim, and Musleh Alsulami. "A Novel Method of Generating Geospatial Intelligence from Social Media Posts of Political Leaders." Information 13, no. 3 (2022): 120. http://dx.doi.org/10.3390/info13030120.

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Social media platforms such as Twitter have been used by political leaders, heads of states, political parties, and their supporters to strategically influence public opinions. Leaders can post about a location, a state, a country, or even a region in their social media accounts, and the posts can immediately be viewed and reacted to by millions of their followers. The effect of social media posts by political leaders could be automatically measured by extracting, analyzing, and producing real-time geospatial intelligence for social scientists and researchers. This paper proposed a novel appro

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Abul, Osman, and Cansın Bayrak. "From location to location pattern privacy in location-based services." Knowledge and Information Systems 56, no. 3 (2018): 533–57. http://dx.doi.org/10.1007/s10115-017-1146-x.

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Bargarai, Faiq A. Mohammed, Adnan Mohsin Abdulazeez, Volkan Müjdat Tiryaki, and Diyar Qader Zeebaree. "Management of Wireless Communication Systems Using Artificial Intelligence-Based Software Defined Radio." International Journal of Interactive Mobile Technologies (iJIM) 14, no. 13 (2020): 107. http://dx.doi.org/10.3991/ijim.v14i13.14211.

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The wireless communication system was investigated by novel methods, which produce an optimized data link, especially the software-based methods. Software-Defined Radio (SDR) is a common method for developing and implementing wireless communication protocols. In this paper, SDR and artificial intelligence (AI) are used to design a self-management communication system with variable node locations. Three affected parameters for the wireless signal are considered: channel frequency, bandwidth, and modulation type. On one hand, SDR collects and analyzes the signal components while on the other han

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Dr., A. C. Lal Kumar. "EMOTIONAL INTELLIGENCE AMONG HIGHER SECONDARY TEACHERS." International Journal of Applied and Advanced Scientific Research 1, no. 1 (2016): 94–97. https://doi.org/10.5281/zenodo.159959.

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The present study was conducted to investigate emotional intelligence among higher secondary teachers in relation to certain demographic variables viz. gender, type of management, nature of school, location of school and marital status. Emotional intelligence is denied as one of the important aspects in educating a person to be balanced as a whole. Through emotional intelligence, one will become more successful in life as compared to individuals that gain solely high levels of intellectual intelligence (IQ). Emotional intelligence also provides liberty for individuals to explore self potential

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Dhamayanti, Meita, Veranita Pandia, Nita Arisanti, et al. "Exploring the Potential of Multiple Intelligences as an Effort to Improve Adolescent Health Holistically." Jurnal Ilmiah Pengabdian Masyarakat Bidang Kesehatan (Abdigermas) 2, no. 3 (2024): 99–105. http://dx.doi.org/10.58723/abdigermas.v2i3.297.

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The community services aim to identify multiple intelligences to optimize adolescent health holistically. Methods of implementation with surveys and education. The survey was conducted with multiple intelligence cards filled out by adolescents to obtain multiple intelligence data. Adolescents circled the answers according to the statements on the multiple intelligence cards that fit their circumstances. Score 1 if very inappropriate, score 2 if not very appropriate, score 3 if appropriate, and score 4 if very appropriate to the adolescent. Analysis using descriptive methods. This community ser

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Krepek, Amadej, Iztok Fister, and Iztok Fister. "Micro-Location Temperature Prediction Leveraging Deep Learning Approaches." Applied Sciences 15, no. 12 (2025): 6793. https://doi.org/10.3390/app15126793.

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Nowadays, technological progress has promoted the integration of artificial intelligence into modern human lives rapidly. On the other hand, extreme weather events in recent years have started to influence human well-being. As a result, these events have been addressed by artificial intelligence methods more and more frequently. In line with this, the paper focuses on searching for predicting the air temperature in a particular Slovenian micro-location by using a weather prediction model Maximus based on a long-short term memory neural network learned by the long-term, lower-resolution dataset

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Wang, Jing-min, Yan Liu, Yi-fei Yang, Wei Cai, Dong-xuan Wang, and Zhao-wei Jia. "The Location of Electric Vehicle Charging Stations based on FRLM with Robust Optimization." International Journal of Pattern Recognition and Artificial Intelligence 33, no. 08 (2019): 1959027. http://dx.doi.org/10.1142/s0218001419590274.

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It is very important for the application of artificial intelligence to accurately and quickly help the electric vehicles to find matching charging facilities. The site selection for electric vehicle charging station (EVCS) is a new field of artificial intelligence application, using artificial intelligence to analyze the current complex urban electric vehicle driving path, and then determining the location of charging stations. This paper proposes a novel hybrid model to decide the location of EVCS. First of all, this paper carries out the flow-refueling location model (FRLM) based on path req

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