Obhuli Chandran M, Saikiran Pendem, Priya P S, Cijo Chacko, Priyanka -, Rajagopal Kadavigere
Influence of deep learning image reconstruction algorithm for reducing radiation dose and image noise compared to iterative reconstruction and filtered back projection for head and chest computed tomography examinations: a systematic review
F1000Research
scoping review paper redefines artificial intelligencebased internet things aiot driven human activity recognition har field systematically extrapolating various application domains deduce potential techniques algorithms distill general model adaptive learning optimization mechanisms conducting detailed analysis human activity types utilizing contact noncontact devices presents various system integration mathematical paradigms driven multimodal data fusion covering predictions complex behaviors redefining valuable methods devices systems har additionally paper establishes benchmarks behavior recognition across different application requirements simple localized actions group activities summarizes open research directions including data diversity volume computational limitations interoperability realtime recognition data security privacy concerns finally aim serve comprehensive foundational resource researchers delving complex burgeoning realm aiotenhanced har providing insights guidance future innovations developments