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Lecture Notes in Networks and Systems (series)

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book article

Curricula updates through students' participation in international competitionValme, Daniil; Belolipetskaja, Diana; Rassõlkin, Anton; Leoste, Janika; Rüütmann, Tiia15th International Conference on Robotics in Education (RiE 2024)2024

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book article

Enhancing university visitor satisfaction : a human-robot interaction study on the design and perception of a guiding robot assistantLeoste, Janika; Marmor, Kristel; Hollstein, Thomas; Hinkelmann, Heiko; Leoste, Leo Benjamin15th International Conference on Robotics in Education (RiE 2024)2024

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book article

The impact of a transdisciplinary STEAM teacher training course on the integration of robotics in early childhood educationRossi, Matti; Saimon, Musa; Leoste, Janika; Fenyvesi, Kristof; Lavicza, Zsolt15th International Conference on Robotics in Education (RiE 2024)2024

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book article

A location-based application for recording the video stream of urban traffic camerasLeoste, Karl Aleksander; Leoste, Johan Valdemar; Leoste, Janika; San Martin, Jose2024

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5

book article

The opinions of basic school students regarding the use of telepresence robots for teaching and learningLeoste, Janika; Kangur, Katrin; Talisainen, Aleksei; Muoni, Karin; Marmor, Kristel; Budagov, Fuad; Strömberg-Järvis, Kadri; Rebane, Anne-Mari; Rossi, Matti15th International Conference on Robotics in Education (RiE 2024)2024

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6

book article

The scarcity and competence gaps of teaching logistics in top European business schoolsNiine, Tarvo; Küttim, Merle; Nuus, R.; Tuisk, TarmoICL2023 : Proceedings of the 26th International Conference on Interactive Collaborative Learning2024 / p. 1593-1600

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book article

Understanding the potential of telepresence robots in higher education learning : a case studyLeoste, Janika; Talisainen, Aleksei; Pöial, Jaanus; Kangur, Katrin; Kasuk, Tiina; Parts, Joosep2024

book article

Number of records 7, displaying 1 - 7

1. paper-free handouts for lecture notes
2. adaptive networks
3. ad-hoc sensor networks security
4. artificial neural networks
5. artificial neural networks (ANN)
6. automotive communication networks
7. Bayesian Belief Networks
8. Bayesian networks
9. binary search networks
10. binary sensor networks
11. body area networks
12. body sensor networks
13. cellular networks
14. communication networks
15. complex networks
16. computer networks
17. Constrained neural networks
18. content distribution networks
19. content-addressable storage networks
20. convolutional networks
21. convolutional neural networks
22. convolutional neural networks (CNNa)
23. Convolutional Neural Networks (CNNs)
24. cross-border communication networks
25. deep neural networks
26. deep neural networks (DNNs)
27. developmental networks
28. diffusion networks
29. digital twin networks (DTNs)
30. distribution networks
31. district heating networks
32. Dynamic networks
33. dynamics over networks
34. ecological networks
35. economic networks
36. electric power transmission networks
37. electrical distribution networks
38. electrical networks
39. embedded networks/NoC
40. Fuzzy neural networks
41. gateways (computer networks)
42. generative adversarial networks
43. geodetic networks
44. global production networks
45. heating networks
46. hypar-formed networks
47. IaaS cloud networks
48. Impedance-source networks
49. innovation networks
50. IP networks
51. iterative networks
52. knowledge networks
53. location-based social networks
54. logistics networks
55. low voltage networks
56. low-voltage networks
57. lumped parameter networks
58. marketing networks
59. metabolic networks and pathways
60. mobile actuator-sensor networks (MAS-Net)
61. multilayer networks
62. NB-IoT networks
63. networks
64. networks coding
65. neural networks
66. neuro-fuzzy networks and guided missile
67. non-terrestrial networks
68. observational networks
69. on-body networks (BANs)
70. Online social networks
71. Optical fiber networks
72. optical fibre networks
73. optical networks
74. optimized routing approach for critical and emergency networks
75. optimized routing approach for critical and emergency networks simulations
76. packet switched networks
77. partner networks
78. Passive networks
79. phantom cellular networks
80. pre-trained neural networks
81. private networks
82. production networks
83. Public safety networks
84. public safety networks (PSN)
85. public safety networks (PSNs)
86. reconfigurable scan networks
87. recurrent neural networks
88. recurrent neural networks (RNN)
89. regional innovation networks
90. scale-free networks
91. sensor networks
92. small district heating networks
93. SME networks
94. social networks
95. social networks
96. software defined networks (SDN)
97. sorting networks
98. supply networks
99. transmission networks
100. unreliable wireless networks
101. WBANs (wireless body area networks)
102. wearable wireless networks
103. wearable wireless networks (WWNs)
104. weighted networks
105. wireless ad hoc sensor networks
106. Wireless Body Area Networks
107. wireless body area networks (WBANs)
108. wireless body-to-body networks (BBN)
109. wireless sensor networks
110. virtual networks
111. 5G networks
112. 5G networks

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