Spectrum sensing in cognitive radio networks using kernel recursive least squares. - Bommidi Sridhar; Srinivasulu Tadisetty (Evol. Intell., 2019)

Efficient Recursive Least Square Technique for Spectrum Sensing in Cognitive Radio Networks. - Bommidi Sridhar; Srinivasulu Tadisetty (Int. J. Bus. Data Commun. Netw., 2019)

SEES: a scalable and energy-efficient scheme for green IoT-based heterogeneous wireless nodes. - Antar Shaddad Abdul-Qawy; Srinivasulu Tadisetty (J. Ambient Intell. Humaniz. Comput., 2019)

A novel ortho normalized multi-stage discrete fast Stockwell transform based memory-aware high-speed VLSI implementation for image compression. - G kiranmaye; Srinivasulu Tadisetty (Multim. Tools Appl., 2019)

User grouping and optimization-based pilot scheduling for mitigating the pilot contamination in massive multi cell MIMO systems. - Pradeep Kumar Ambala; Srinivasulu Tadisetty (Int. J. Model. Simul. Sci. Comput., 2020)

Hybrid optimization-based pilot scheduling for reducing pilot contamination in massive MIMO systems. - Pradeep Kumar Ambala; Srinivasulu Tadisetty (Int. J. Wavelets Multiresolution Inf. Process., 2020)

Throughput Optimization of Parallel Sensing and Energy Harvesting Cognitive Radio Network. - Anitha Bujunuru; Srinivasulu Tadisetty (Traitement du Signal, 2021)

Design and Development of Novel Hybrid Precoder for Millimeter-Wave MIMO System. - Srinivas K; Srinivasulu Tadisetty (Int. J. Commun. Networks Inf. Secur., 2021)

Cloud-based virtualization environment for IoT-based WSN: solutions, approaches and challenges. - Nasr Almurisi; Srinivasulu Tadisetty (J. Ambient Intell. Humaniz. Comput., 2022)

Development of innovative cloud-based IoMD architecture for elder population monitoring. - Nasr Almurisi; Srinivasulu Tadisetty (Int. J. Cloud Comput., 2023)