Table 2.

Rejected older or narrower breadth surveys.

Survey Reference	Year	Overview and Limitations
Han, H. [9]	2022	The study carries out a systematic review of TinyML and its applications and was rejected for being out of date.
Tsoukas, V. [10]	2021	The study describes how TinyML can be used in healthcare applications and was rejected for being old and covered by newer surveys.
Sanchez-Iborra, R. [11]	2020	The study reviews the use of TinyML in smart objects and was rejected for being out of date.
Ray, P.P. [12]	2022	The study is a state-of-the-art review of TinyML and its prospects and was rejected for being covered by newer surveys.
Dutta, D.L. [13]	2021	The study is a comprehensive survey comparing TinyML with IoT and was rejected for being covered by newer surveys.
Shafique, M. [14]	2021	The study reviews the state of research in TinyML and was rejected for being too old.
Greco, L. [15]	2020	This study covers edge computing in IoT and was rejected for being out of date.
Oufettoul, H. [16]	2024	The survey covers TinyML implementation tools and was rejected for being too limited in its explanation.