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2024 ITU Kaleidoscope Academic Conference

               online access. [Online] [Accessed on 29  November 2023]   Communication  Technologies  for  Disaster  Management
                                             th
               https://educationtoday.co/blogs/?p=2939.           (ICT-DM),  Hangzhou,  China,  2021,  pp.  214-220,  doi:
                                            th
            [8]  Siddhanta Mishra & Abhay Singh.  (24  May 2023) Delhi:   10.1109/ICT-DM52643.2021.9664185
               Biker killed in Pragati Maidan tunnel; poor signal delays call.   [23]  M.  Zaboub  et  al.,  "5G  Mobile  Network  Signal  Strength
                                         th
               [Online]   [Accessed   on   29    November   2023]   Interpolation  Using  Machine  Learning  GAN  Algorithm,"
                                                                        th
               https://timesofindia.indiatimes.com/city/delhi/biker-killed-  2023 19  International Conference on Wireless and Mobile
               in-tunnel-poor-signal-delays-                      Computing,  Networking  and  Communications  (WiMob),
               call/articleshow/100459130.cms?from=mdr            Montreal,  QC,  Canada,  2023,  pp.  362-368,  doi:
                          th
            [9]  NABARD. (25  Jan 2023) Trends and Patterns in Agriculture   10.1109/WiMob58348.2023.10187812
               Credit in India: A District Level Analysis of Uttar Pradesh.   [24]  Himanshu Sharma, "National Telecom Volunteer" Version 1,
                                           th
                                                                             st
               [Online]   [Accessed   on   29    March   2024]    Android,   1    Aug   2023.   [Online].   Available:
               https://www.nabard.org/auth/writereaddata/tender/25012356  https://play.google.com/store/apps/details?id=com.dot.nbm
               26trends-and-patterns-in-agriculture-credit-in-india.pdf   &hl=en
           [10]  Suri, T., & Jack, W. (2016). The long-run poverty and gender   [25]  Molinari, M et al., M.K. C2B(I)D 2015 - Proceedings of the
               impacts of mobile money. Science. https://doi.org/aah5309   2015  ACM  SIGCOMM  Workshop  on  Crowdsourcing  and
                          th
           [11]  The WIRE. (30  Nov 2023) Navigating PM-KISAN: A Deep   Crowdsharing  of  Big  (Internet)  Data,  Part  of  SIGCOMM
                                                                          th
               Dive  into  Digital  Challenges  Faced  by  Farmers  [Online]   2015,  17   August  2015,  :33-38  Language:  English.
               [Accessed    on      29      March      2024]      Association  for  Computing  Machinery,  Inc  DOI:
                                      th
                 thewire.in/government/navigating-pm-kisan-a-deep-dive-  10.1145/2787394.2787395
               into-digital-challenges-faced-by-farmers       [26]  Luo, J., & Xu, S. (2023). NCART: Neural Classification and
           [12]  M.  -R.  Fida  et  al.,  "Impact  of  Device  Diversity  on   Regression Tree for Tabular Data. ArXiv. /abs/2307.12198
               Crowdsourced  Mobile  Coverage  Maps,"  2018  14    [27]  M.  Zaboub,  M.  Corici  and  T.  Magedanz,  "5G  Mobile
                                                          th
               International  Conference  on  Network  and  Service   Network  Signal  Strength  Interpolation  Using  Machine
               Management (CNSM), Rome, Italy, 2018, pp. 348-352   Learning  GAN  Algorithm,"  2023  19   International
                                                                                                  th
           [13]  M. Nekrasov et al., "Evaluating LTE Coverage and Quality   Conference on Wireless and Mobile Computing, Networking
                                                          th
               from  an  Unmanned  Aircraft  System,"  2019  IEEE  16    and  Communications  (WiMob),  Montreal,  QC,  Canada,
               International  Conference  on  Mobile  Ad  Hoc  and  Sensor   2023,   pp.   362-368,        doi:
               Systems (MASS), Monterey, CA, USA, 2019, pp. 171-179,   10.1109/WiMob58348.2023.10187812
               doi: 10.1109/MASS.2019.00029.                  [28]  T. K. Sarkar et al., "A survey of various propagation models
           [14]  Y.  Liu  et  al.,  "3.5  GHz  Outdoor  Radio  Signal  Strength   for  mobile  communication,"  in  IEEE  Antennas  and
               Prediction  with  Machine  Learning  Based  on  Low-Cost   Propagation Magazine, vol. 45, no. 3, pp. 51-82, June 2003,
               Geographic Features," in IEEE Transactions on Antennas and   doi: 10.1109/MAP.2003.1232163
               Propagation, vol. 70, no. 6, pp. 4155-4170, June 2022, doi:   [29]  Chen, K et al. (2023). Trompt: Towards a Better Deep Neural
               10.1109/TAP.2022.3175214                           Network for Tabular Data. ArXiv. /abs/2305.18446
           [15]  FRACCARO, P. et al. Modelling mobile signal strength by   [30]  The Hindu. (27  April 2022) Cabinet approves ₹2,400-crore
                                                                             th
               combining  geospatial  big  data  and  artificial  intelligence.   project to upgrade to 4G services in Left Wing Extremism-hit
                                                                                                th
               ACM  International  Conference  Proceeding  Series,  [s.  l.],   areas.  [Online]  [Accessed  on  29   March  2024]
               2020.  DOI  10.1145/3448823.3448879.  Disponível  em:    https://www.thehindu.com/news/national/cabinet-approves-
               https://search.ebscohost.com/login.aspx?direct=true&AuthT  2400-crore-project-to-upgrade-to-4g-services-in-left-wing-
               ype=ip,shib&db=edselc&AN=edselc.2-52.0-            extremism-hit-areas/article65360614.ece
                                                                              th
               85102954047&site=eds-                           [31] Jordan Pioth. (6  Nov 2023) The Problems with Bandwidth
               live&scope=site.%20Acesso%20em:%205%20set.%202023   Usage While Working from Home. [Online] [Accessed on
                                                                    th
           [16]  O. O. Erunkulu et al., "Cellular Communications Coverage   29       March                2024]
               Prediction Techniques: A Survey and Comparison," in IEEE   https://www.coeosolutions.com/news/problems-bandwidth-
               Access,  vol.  8,  pp.  113052-113077,  2020,  doi:   working-from-home
               10.1109/ACCESS.2020.3003247                     [32] X.  Li  et  al.,  "Maximizing  Mobile  Coverage  via  Optimal
           [17]  Alimpertis, E. (2020). Mobile Coverage Maps Prediction. UC   Deployment  of  Base  Stations  and  Relays,"  in  IEEE
               Irvine. ProQuest ID: Alimpertis_uci_0030D_16368. Merritt   Transactions  on  Vehicular  Technology,  vol. 65,  no. 7,  pp.
               ID:    ark:/13030/m5dc3933.   Retrieved   from     5060-5072, July 20  16, doi: 10.1109/TVT.2015.2458015
               https://escholarship.org/uc/item/1wr2b02f       [33] Coverage bias: the impact of eligibility constraints on mobile
           [18]  Wang,  H  et  al.  Big  Data-Driven  Cellular  Information   phone-based   sampling   and   data   collection   Helen
               Detection  and  Coverage  Identification.  Sensors  2019,  19,   SuichORCID Icon,Mandy YapORCID Icon &Trang Pham,
               937. https://doi.org/10.3390/s19040937             https://doi.org/10.1080/13645579.2021.1957310,
           [19]   I. A. Saadi et al., "Ground Level Mobile Signal Prediction   International Journal of Social Research Methodology
               Using Higher Altitude UAV Measurements and ANN," 2022   [34] Liu, J., Tian, T., Liu, Y. et al. iTabNet: an improved neural
               32  Conference of Open Innovations Association (FRUCT),   network  for  tabular  data  and  its  application  to  predict
                 nd
               Tampere,   Finland,   2022,   pp.   15-21,   doi:   socioeconomic and environmental attributes. Neural Comput
               10.23919/FRUCT56874.2022.9953813                   &      Applic    35,    11389–11402    (2023).
           [20]  D.  Madariaga  et  al.,  "I'm  Only  Unhappy  when  it  Rains:   https://doi.org/10.1007/s00521-023-08304-7
               Forecasting  Mobile  QoS  with  Weather  Conditions,"  2018   [35] MeitY,  Government  of India, "UMANG" Version 2.0.103,
                                                                             rd
               Network  Traffic  Measurement  and  Analysis  Conference   Android,   3    Jul   2024.   [Online].   Available:
               (TMA),   Vienna,   Austria,   2018,   pp.   1-6,   doi:   https://play.google.com/store/apps/details?id=in.gov.umang.
               10.23919/TMA.2018.8506509                          negd.g2c&hl=en_IN
           [21]  D.  F.  S.  Fernandes  et  al.,  "Comparison  of  Artificial   [36] H. Braham et al., "Fixed Rank Kriging for Cellular Coverage
               Intelligence  and  Semi-Empirical  Methodologies  for   Analysis," in IEEE Transactions on Vehicular Technology,
               Estimation  of  Coverage  in  Mobile  Networks,"  in  IEEE   vol.  66,  no.  5,  pp.  4212-4222,  May  2017,  doi:
               Access,  vol.  8,  pp.  139803-139812,  2020,  doi:   10.1109/TVT.2016.259
               10.1109/ACCESS.2020.3013036
           [22]  F. Lyu et al., "Coverage Estimation of Mobile Network Using
               Supervised  Learning  Model  on  Artificial  Estimation
               Dataset," 2021 International Conference on Information and


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