Relevant bibliographies by topics / Smartphone-based

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Smartphone-based'

Author: Grafiati
Published: 9 March 2023
Last updated: 31 July 2025

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Journal articles on the topic "Smartphone-based"

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Aralikatti, Rakesh I., and Kishan S. Anegundi. "Location-Based Services in a Smartphone." Bonfring International Journal of Software Engineering and Soft Computing 6, Special Issue (2016): 130–33. http://dx.doi.org/10.9756/bijsesc.8259.

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Pituła, Emil, Marcin Koba, and Mateusz Śmietana. "Which smartphone for a smartphone-based spectrometer?" Optics & Laser Technology 140 (August 2021): 107067. http://dx.doi.org/10.1016/j.optlastec.2021.107067.

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Gao, Xuefei, and Nianqiang Wu. "Smartphone-Based Sensors." Electrochemical Society Interface 25, no. 4 (2016): 79–81. http://dx.doi.org/10.1149/2.f07164if.

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Handzel, Ophir, and Kevin Franck. "Smartphone based hearing evaluation." Operative Techniques in Otolaryngology-Head and Neck Surgery 32, no. 2 (2021): 87–91. http://dx.doi.org/10.1016/j.otot.2021.05.004.

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Ahmed, Yunus. "Smartphone-based analytical biosensors." Dental Poster Journal 9, no. 2 (2020): 1–2. http://dx.doi.org/10.15713/ins.dpj.056.

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Garabelli, Paul, Stavros Stavrakis, and Sunny Po. "Smartphone-based arrhythmia monitoring." Current Opinion in Cardiology 32, no. 1 (2017): 53–57. http://dx.doi.org/10.1097/hco.0000000000000350.

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Kumar, Nilesh, Bandello Francesco, and Ashish Sharma. "Smartphone-based Gonio-Imaging." Journal of Glaucoma 28, no. 9 (2019): e149-e150. http://dx.doi.org/10.1097/ijg.0000000000001306.

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Turk-Adawi, Karam, and Sherry L. Grace. "Smartphone-based cardiac rehabilitation." Heart 100, no. 22 (2014): 1737–38. http://dx.doi.org/10.1136/heartjnl-2014-306335.

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Nuñez, José Jesús Reyes. "Smartphone-Based School Atlases?" Cartographica: The International Journal for Geographic Information and Geovisualization 48, no. 2 (2013): 126–33. http://dx.doi.org/10.3138/carto.48.2.1842.

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Huang, Xiwei, Dandan Xu, Jin Chen, et al. "Smartphone-based analytical biosensors." Analyst 143, no. 22 (2018): 5339–51. http://dx.doi.org/10.1039/c8an01269e.

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With the rapid development, mass production, and pervasive distribution of smartphones in recent years, they have provided people with portable, cost-effective, and easy-to-operate platforms to build analytical biosensors for point-of-care (POC) applications and mobile health.
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Dissertations / Theses on the topic "Smartphone-based"

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Yang, Zhenyu. "Smartphone-based Optical Sensing." University of Dayton / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1461863029.

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Reyes, Ortiz Jorge Luis. "Smartphone-based human activity recognition." Doctoral thesis, Universitat Politècnica de Catalunya, 2014. http://hdl.handle.net/10803/284725.

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Human Activity Recognition (HAR) is a multidisciplinary research field that aims to gather data regarding people's behavior and their interaction with the environment in order to deliver valuable context-aware information. It has nowadays contributed to develop human-centered areas of study such as Ambient Intelligence and Ambient Assisted Living, which concentrate on the improvement of people's Quality of Life. The first stage to accomplish HAR requires to make observations from ambient or wearable sensor technologies. However, in the second case, the search for pervasive, unobtrusive, low-p
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Zhang, Sen. "Smartphone Based Activity Recognition System." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1354661301.

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Aghanavesi, Somayeh. "Smartphone-based Parkinson’s disease symptom assessment." Licentiate thesis, Högskolan Dalarna, Mikrodataanalys, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:du-24925.

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This thesis consists of four research papers presenting a microdata analysis approach to assess and evaluate the Parkinson’s disease (PD) motor symptoms using smartphone-based systems. PD is a progressive neurological disorder that is characterized by motor symptoms. It is a complex disease that requires continuous monitoring and multidimensional symptom analysis. Both patients’ perception regarding common symptom and their motor function need to be related to the repeated and time-stamped assessment; with this, the full extent of patient’s condition could be revealed. The smartphone enables a
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Dinis, Joel Eduardo dos Santos. "Attendance control system based on smartphone." Master's thesis, Universidade de Aveiro, 2014. http://hdl.handle.net/10773/14059.

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Mestrado em Engenharia Electrónica e de Telecomunicações<br>Attendance control systems are associated with labour legislation for the protection of employees and employers. School attendances' issues may be directly connected to academic achievements at the same time it is di cult to control by children's parents. To solve these problems, there are several systems available and the di erence between them is essentially the technology adopted to make them work. Nowadays, mobile equipment market has a great diversity with smartphone equipments having the highest demands and high growth ra
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Wahlström, Johan. "Sensor Fusion for Smartphone-based Vehicle Telematics." Doctoral thesis, KTH, Teknisk informationsvetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-218071.

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The fields of navigation and motion inference have rapidly been transformed by advances in computing, connectivity, and sensor design. As a result, unprecedented amounts of data are today being collected by cheap and small navigation sensors residing in our surroundings. Often, these sensors will be embedded into personal mobile devices such as smartphones and tablets. To transform the collected data into valuable information, one must typically formulate and solve a statistical inference problem. This thesis is concerned with inference problems that arise when trying to use smartphone sensors
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Gomes, Vítor Emanuel Ornelas. "Smartphone based accident detection and eCall implementation." Master's thesis, Universidade de Aveiro, 2013. http://hdl.handle.net/10773/12835.

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Mestrado em Engenharia Electrónica e Telecomunicações<br>Intelligent Transportation Systems are emerging, to increase safety, e - ciency and comfort on roads. This intelligence is due to the fact that new technologies are being introduced in the most recent automobiles. As a result of this technological evolution, vehicular communication systems are being developed, to provide drivers with more information about the interventionists present in the roads they circulate. Predictions point that this information can increase safety and e ciency on roads. Presently, the Instituto de Telecom
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HASSAN, WAQAR. "Smartphone based applications for Road Traffic Telematics." Doctoral thesis, Politecnico di Torino, 2019. http://hdl.handle.net/11583/2768320.

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Ben, Tahayekt Ben Tahaikt Chaimaa. "A secure user authentication scheme for critical mobile applications." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-34845.

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Smartphones have facilitated tasks in private and work life for its users. In business, employees often should manage sensitive data that unauthorised people cannot access, so some user authentication is needed to perform. Besides the normal user authentication, some employers give the right to access to the sensitive data only if the employees stay in specific locations. That makes sense for those businesses that have various construction sites and offices that are not necessarily located in the same geographical region. In those companies, the employees must be able to perform their tasks fr
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MILD, MARKUS, and VINKLER ALEXIS MÄÄTTÄ. "An Explorative Usability Studyof Smartphone-Based Indoor Navigation." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-138025.

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Mobile phone usage is constantly increasing, as a result we are becoming more reliant on services provided for mobile devices. Mobile devices and especially smartphones can be used for a variety of purposes and has especially made location based services (LBS) mainstream, where outdoor usage has been the primary scope of use. However, by leveraging the positioning abilities of the Assisted Global Positioning System (A-GPS) and location-sensing techniques based on e.g. cellular towers and WiFi access points (AP), mobile phones can be used to determine a position in indoor environments. As indoo
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Books on the topic "Smartphone-based"

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Reyes Ortiz, Jorge Luis. Smartphone-Based Human Activity Recognition. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14274-6.

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Gao, Ruipeng, Fan Ye, Guojie Luo, and Jason Cong. Smartphone-Based Indoor Map Construction. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8378-5.

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Kehtarnavaz, Nasser, Abhishek Sehgal, and Shane Parris. Smartphone-Based Real-Time Digital Signal Processing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-031-02540-2.

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Kehtarnavaz, Nasser, Shane Parris, and Abhishek Sehgal. Smartphone-Based Real-Time Digital Signal Processing. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-031-02537-2.

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Basu, Souvik, Siuli Roy, and Sipra Das Bit. Reliable Post Disaster Services over Smartphone Based DTN. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6573-7.

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Ozer, Ekin. Multisensory Smartphone Applications in Vibration-Based Structural Health Monitoring. [publisher not identified], 2016.

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1961-, Baciu George, ed. Introduction to wireless localization: With iPhone SDK examples. Wiley, 2012.

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Rajesh, Lal, ed. Beginning smartphone web development: Building JavaScript, CSS, HTML and Ajax-based applications for iPhone, Android, Palm Pre, Blackberry, Windows Mobile and Nokia S60. Apress, 2009.

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Atif, Iqbal, and Guzinski Jaroslaw, eds. High performance control of AC drives with MATLAB/Simulink models. Wiley, 2012.

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Smartphone-Based Detection Devices. Elsevier, 2021. http://dx.doi.org/10.1016/c2020-0-00290-2.

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Book chapters on the topic "Smartphone-based"

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Yus, Francisco. "Location-based smartphone interaction 1." In Smartphone Communication. Routledge, 2021. http://dx.doi.org/10.4324/9781003200574-15.

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Huang, Huawei, and Song Guo. "Smartphone Based Emergency Communication." In Big Data in Emergency Management: Exploitation Techniques for Social and Mobile Data. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48099-8_7.

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Stütz, Thomas, Thomas Kowar, Michael Kager, et al. "Smartphone Based Stress Prediction." In Lecture Notes in Computer Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20267-9_20.

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Calabretta, Maria Maddalena, Laura Montali, Antonia Lopreside, Aldo Roda, and Elisa Michelini. "Smartphone-Based Cell Detection." In Handbook of Cell Biosensors. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-47405-2_98-1.

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Kurylyak, Yuriy, Francesco Lamonaca, and Domenico Grimaldi. "Smartphone-Based Photoplethysmogram Measurement." In Digital Image and Signal Processing for Measurement Systems. River Publishers, 2022. http://dx.doi.org/10.1201/9781003337911-5.

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Sivaraman, Anand, Divya Parthasarathy Rao, and Shanmuganathan Nagarajan. "Smartphone-Based Ophthalmic Imaging." In Ophthalmic Diagnostics. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-0138-4_10.

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Dawson, Catherine. "Smartphone app-based research." In A–Z of Digital Research Methods. Routledge, 2019. http://dx.doi.org/10.4324/9781351044677-51.

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Calabretta, Maria Maddalena, Laura Montali, Antonia Lopreside, Aldo Roda, and Elisa Michelini. "Smartphone-Based Cell Detection." In Handbook of Cell Biosensors. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-23217-7_98.

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Reyes Ortiz, Jorge Luis. "Introduction." In Smartphone-Based Human Activity Recognition. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14274-6_1.

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Reyes Ortiz, Jorge Luis. "Background." In Smartphone-Based Human Activity Recognition. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14274-6_2.

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Conference papers on the topic "Smartphone-based"

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Nafiisa, Birra Lailatul, Jaswadi, and Ludfi Djajanto. "Smartphone Application-based Project Monitoring." In 2024 International Conference on ICT for Smart Society (ICISS). IEEE, 2024. http://dx.doi.org/10.1109/iciss62896.2024.10751203.

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Wele, Isha, Sagar Bankar, Arpita Parakh, and Richa R. Khandelwal. "Smartphone Based Identification of Microorganisms." In 2024 IEEE 21st India Council International Conference (INDICON). IEEE, 2024. https://doi.org/10.1109/indicon63790.2024.10958269.

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Priyadarshinee, Prachee, Balamurali B. T, Vern Hsen Tan, Siang Chew Chai, Colin Yeo, and Jer-Ming Chen. "Towards Smartphone-Based Heart Sound Classification." In 2024 International Conference on Signal Processing and Communications (SPCOM). IEEE, 2024. http://dx.doi.org/10.1109/spcom60851.2024.10631587.

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Lau, Vincent M. K. "Smartphone based robot." In SIGGRAPH Asia 2013 Symposium on Mobile Graphics and Interactive Applications. ACM Press, 2013. http://dx.doi.org/10.1145/2543651.2543693.

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Stafford, Matthew, Adriana Rogers, Shela Wu, Charles Carver, N. Sertac Artan, and Ziqian Dong. "TETRIS: Smartphone-to-Smartphone Screen-Based Visible Light Communication." In 2017 IEEE 14th International Conference on Mobile Ad-Hoc and Sensor Systems (MASS). IEEE, 2017. http://dx.doi.org/10.1109/mass.2017.101.

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"SMARTPHONE BASED E-LEARNING." In 3rd International Conference on Computer Supported Education. SciTePress - Science and and Technology Publications, 2011. http://dx.doi.org/10.5220/0003334901610170.

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Giardini, Mario E., Iain A. T. Livingstone, Stewart Jordan, et al. "A smartphone based ophthalmoscope." In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2014. http://dx.doi.org/10.1109/embc.2014.6944049.

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Erickson, David, and Matt Mancuso. "Smartphone based Molecular Diagnostics." In Optical Sensors. OSA, 2013. http://dx.doi.org/10.1364/sensors.2013.sw3b.2.

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Ba, Zhongjie, Tianhang Zheng, Zhan Qin, et al. "Accelerometer-based smartphone eavesdropping." In MobiCom '20: The 26th Annual International Conference on Mobile Computing and Networking. ACM, 2020. http://dx.doi.org/10.1145/3372224.3417323.

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Liu, Qiang, Yun Liu, Huizhen Yuan, Jiabin Wang, Jianye Guang, and Wei Peng. "Smartphone based LSPR biosensor." In 2018 Asia Communications and Photonics Conference (ACP). IEEE, 2018. http://dx.doi.org/10.1109/acp.2018.8596229.

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Reports on the topic "Smartphone-based"

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Sun, Chang. A Survey of Smartphone-based Fluorescence Microscopy Technology. Iowa State University, 2020. http://dx.doi.org/10.31274/cc-20240624-94.

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Lashkov, Igor, Alexey Kashevnik, and Andrey Ronzhin. Ontology-based Personalisation for Online Driver Monitoring by Smartphone. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, 2019. http://dx.doi.org/10.7546/crabs.2019.05.13.

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wang, shuai, and Xiaoxiao Lin. The smartphone app–based cognitive behavioral therapy for insomnia. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2024. http://dx.doi.org/10.37766/inplasy2024.2.0109.

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Kourtellis, Achilleas. Smartphone-based Connected Bicycle Prototype Development for Sustainable Multimodal Transportation System. University of South Florida, 2018. http://dx.doi.org/10.5038/cutr-nctr-rr-2018-03.

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Ward, Andrew, Anthony Falls, and Craig Rutland. Development of smartphone-based semi-prepared runway operations (SPRO) models and methods. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42500.

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The U.S. Army Engineer Research and Development Center (ERDC) has developed a method for predicting surface friction response by use of ground vehicles equipped with deceleration-based measurement devices. Specifically, the ERDC has developed models and measurement methods between the Findlay Irvine Mk2 GripTester and a variety of deceleration measurement devices: Bowmonk AFM2 Mk3, Xsens MTi-G-710, two Android smartphones, and two iOS smartphones. These models show positive correlation between ground vehicle deceleration and fixed-slip surface continuous surface friction measurement. This effo
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Rakestraw, D. Resonant Acoustic Characterization of Coins: An Inquiry-Based Learning Activity for Everyone with a Smartphone. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1830948.

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Saint-Hubert, Cathrina, Maylinn Yon, Jenny Guo, and Jennifer Frederick. Screen Time Activities of Adolescents with Depression Symptoms. Florida International University, 2025. https://doi.org/10.25148/fiuurj.3.1.7.

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Over 90% of US adolescents own a smartphone. Adolescents commonly use smartphones to communicate through apps such as Snapchat and Instagram. Considering the rise in technology use and depressive symptoms amongst adolescents, communication patterns can provide insight into the communication habits of depressed adolescents. Prior research suggests that the effects of digital technology use on adolescents’ well-being differ based on the type of use and frequency of communication. We examined how adolescents with elevated depressive symptoms use smartphones to communicate, including apps, modalit
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Ceballos, Francisco, Berber Kramer, Azad Mishra, Miguel Robles, and Mann S. Toor. Picture-based crop insurance: using farmers’ smartphone pictures to reduce basis risk and costs of loss verification. International Initiative for Impact Evaluation (3ie), 2020. http://dx.doi.org/10.23846/tw13fe11.

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Ceballos, Francisco, Pushkar Gaur, Monali Gupta, Samyuktha Kannan, and Berber Kramer. Picture-based crop insurance: A randomized controlled trial evaluating the impacts of using smartphone camera data for claims verification in India. International Initiative for Impact Evaluation (3ie), 2025. https://doi.org/10.23846/tw13ie141.

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Yioukka, Marietta, Petros C. Dinas, Giorgos Sakkas, and Christina Karatzaferi. The effect of smartphone-based-interventions on health-related quality of life of adults with type 2 diabetes mellitus- A systematic review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2025. https://doi.org/10.37766/inplasy2025.3.0094.

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