Since the emergence of device-to-device (D2D) communications, an efficient resource allocation (RA) scheme with low-complexity suited for high variability of network environments has been continuously demanded.As a solution, we propose a RA scheme based on deep reinforcement learning (DRL) for D2D communications exploiting cluster-wise non-orthogon
Background: This study aimed to validate a method for characterizing and quantifying the multi-elemental profiles of different insect flours to enable their distinction, identification, and quality assessment.The focus was on three insect species: cricket (Acheta domesticus), buffalo worm (Alphitobius diaperinus), and mealworm (Tenebrio molitor).Me
Many well-established models exist for predicting the dispersion of radioactive particles that will be generated in the surrounding environment after a nuclear weapon explosion.However, without exception, almost all models rely on accurate source term parameters, such as DELFIC, DNAF-1, and so on.Unlike nuclear experiments, accurate source term par
The use of Improvement Science (IS) for the dissertation in practice (DiP) must be encouraged because the Test questions and concerns addressed in these projects go beyond answering basic research.Authors of dissertations in practice will bring philosophical assumptions, select research designs, and situate themselves somewhere along the practition