Network simulation of the proposed method. by Nanavath Kiran Singh Nayak (22184565)

Simulation parameters of SDN network. by Nanavath Kiran Singh Nayak (22184565)

Simulation parameters of DDcGAN. by Nanavath Kiran Singh Nayak (22184565)

S1 Data - by Amila Jayasinghe (14573493)

Validation results based on training data. by Amila Jayasinghe (14573493)

A priority based energy harvesting scheme for charging embedded sensor nodes in wireless body area networks by Md Khurram Monir Rabby (6619442)

“…Therefore, the proposed wireless charging algorithm for implanted SNs in WBAN is designed as per carrier sense multiple access with collision avoidance (CSMA/CA) technique. …”

Data used to drive the Double Layer Carbon Model in the Qinling Mountains. by Huiwen Li (17705280)

“…It relies on comprehensive input data, including initial SOC stocks, climate data, and vegetation production to drive these simulations.…”

Reinforcement Learning for Autonomous Process Control in Industry 4.0: Advantages and Challenges by Nuria Nievas (19331156)

“…Particular emphasis is placed on elucidating the primary obstacles impeding the adoption and implementation of reinforcement learning technology in industrial settings, such as model complexity, accessibility to simulation environments, safety deployment constraints, and model interpretability. …”

Intelligent Healthcare Systems by Vania Vieira Estrela (9084371)

Subjects:

Dataset supporting Speiser, Mueller et al Nature Methods 2021, Deep learning enables fast and dense single-molecule localization with high accuracy by Artur Speiser (10907633)

“…</div><div><br></div><div>01_fig2a_e_sim_density</div><div><br></div><div>Includes several sets of simulated data that can be used to evaluate the performance of localization algorithms. …”