Analysis of the pooled effect of compression ratio and injection timing variation on conventional diesel engine powered with nano doped biodiesel blend by Chinmoy Jit Sarma, Bhaskar Jyoti Medhi, Bhaskor Jyoti Bora, Dilip K. Bora, P. V. Elumalai, Krupakaran Radhakrishnan Lawrence, Debabrata Barik, Ravikumar Ramegowda, Kiran Kavalli, Manzoore Elahi M. Soudagar, Mesay Dejene Altaye

“…In this study, compression ratio is varied from 17.5 to 18, whereas fuel injection timing of 20°, 23°, and 25° BTDCs along with engine load variation of 20%, 40%, 60%, 80%, and 100% are considered. …”
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A multi-objective master–slave methodology for optimally integrating and operating photovoltaic generators in urban and rural electrical networks by Jhony Andrés Guzmán-Henao, Rubén Iván Bolaños, Brandon Cortés-Caicedo, Luis Fernando Grisales-Noreña, Oscar Danilo Montoya, Jesús C. Hernández

“…Its master stage uses one out of three different algorithms—Multi-Objective Particle Swarm Optimization (MOPSO) algorithm, the Non-dominated Sorting Genetic Algorithm II (NSGA-II), or the Multi-Objective Ant Lion Optimizer (MOALO)—while the slave stage is always performed by a load flow analyzer. The three algorithms in the master stage were implemented considering variable generation and demand conditions in 33 and 27 bus feeders, representing urban and rural areas respectively. …”
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Decentralized queue control with delay shifting in edge-IoT using reinforcement learning by Viacheslav Kovtun

“…Experimental results using real-world datasets demonstrated a reduction in average delay by 17–26%, decreased fluctuations in service time, and improved queue recovery stability after peak loads compared to current state-of-the-art models. …”
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Spatial correlation effects on rock mass behavior: insights from stochastic modeling in longwall mining by Mohammad Reza Soleimanfar, Reza Shirinabadi, Navid Hosseini Alaee, Ehsan Moosavi, Ghodratollah Mohammadi

“…The methodology involves generating a realistic random field database based on the Extreme Value stochastic model, which is then applied to simulate stress responses in the rock mass under various loading conditions. This 40% reduction in peak stress estimates translates to substantially different safety assessments and mining strategy recommendations compared to traditional deterministic approaches. …”
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Uncertainty-aware multi-objective growth optimizer of EV charging stations allocation in unbalanced grids by Abdullah M. Shaheen, Aya R. Ellien, Adel A. El-Ela, Ali M. El-Rifaie

“…The proposed approach incorporates key sources of uncertainty, such as variability in base electrical loads, intermittent outputs from renewable energy sources (RESs), and stochastic patterns of BEV charging behavior, using Hong’s Three-Point Estimate Method (H3PEM). …”
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Stability Assessment of Hazardous Rock Masses and Rockfall Trajectory Prediction Using LiDAR Point Clouds by Rao Zhu, Yonghua Xia, Shucai Zhang, Yingke Wang

“…This staged arrangement maximizes energy attenuation and overall risk reduction. This study shows that integrating high-resolution 3D point clouds with rigid-body contact dynamics overcomes the spatial discontinuities of conventional surveys. …”
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