Real-Time Electrical Energy Optimization in E-Commerce Systems Based on IoT and Mobile Agents by Mohamed Shili, Sajid Anwar

“…Moreover, the proposed architecture achieved a reduction of up to 38.9% for response times for resource management, under load, while also demonstrating a 50% reduction in response time for real-time event handling. …”
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Design and Optimization of Friction Winch for 25 MW Airborne Wind Energy Systems by Lizhao NIU, Kuo YIN, Chonghui LEI

“…[Result] By taking the minimum strain energy as the objective and the internal support volume of the pressure bearing wheel as the constraint, the optimization achieves a 36% reduction in the structural mass of the pressure bearing wheel, and its strength is verified to meet the requirements by applying loads at different locations. …”
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Holistic Hosting Capacity Enhancement Through Sensitivity-Driven Flexibility Deployment and Uncertainty-Aware Optimization in Modern Distribution Networks by Wenjie Pan, Jun Han, Chao Cai, Haofei Chen, Hong Liu, Zhengyang Xu

“…The proposed approach integrates temporal sensitivity mapping with robust optimization techniques to prioritize resource allocation across high-sensitivity nodes, addressing uncertainties in renewable energy generation and load demand. By leveraging a dynamic interaction between sensitivity scores and temporal system conditions, the framework achieves efficient and resilient operation under extreme variability scenarios. …”
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Shunt active power filter using model predictive control with stability guarantee by Jhon Pérez-Ramírez, Diego Montoya-Acevedo, Walter Gil-González, Oscar Danilo Montoya, Carlos Restrepo

“…The control strategy is applied to a shunt active power filter (SAPF) connected to a voltage source and a nonlinear load, aiming to suppress the harmonics demanded by the load while ensuring that the source current remains sinusoidal and balanced, with a total harmonic distortion (THD) within regulatory standards. …”
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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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Hierarchical deep Q-network-based optimization of resilient grids under multi-dimensional uncertainties from extreme weather by Shimeng Dong, Chao Wang, Yan Zhang, Yanan Wang, Xiaodong Zhang, Linrun Guo, Liwei Ju

“…Through extensive case studies based on a realistic 118-node distribution network, the proposed model achieves significant performance improvements, including up to 35% reduction in load shedding, 30% enhancement in resilience scores, and €15 million in additional cost savings compared to conventional methods. …”
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A Neural Network-Based Model Predictive Control for a Grid-Connected Photovoltaic–Battery System with Vehicle-to-Grid and Grid-to-Vehicle Operations by Ossama Dankar, Mohamad Tarnini, Abdallah El Ghaly, Nazih Moubayed, Khaled Chahine

“…The intermittent nature of solar energy and the variable charging demands of EVs complicate reliable and efficient power management. …”
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Multivariate Analysis of Microbiological and Incubation Parameters in Hatching Eggs Sanitized with or Without Essential Oils by Gabriel da Silva Oliveira, Concepta McManus, Vinícius Machado dos Santos

“…The bacterial load of hatching eggs contributes to reduced productivity, reaffirming the need for proper egg sanitization, especially using essential oils.…”
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Increasing integration of wind energy through the joint operation of electric vehicles and the grid using the intelligent spider monkey algorithm by Han Xiaoming, Qian Jingjing

“…Furthermore, the study highlights the role of V2G in balancing renewable energy variability and reducing peak load pressures, showcasing its potential to optimize grid operations and improve reliability.…”
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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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Artificial intelligence in language learning: biometric feedback and adaptive reading for improved comprehension and reduced anxiety by Hang Yuan

“…Abstract This study investigates the efficacy of an AI-enhanced reading platform in enhancing reading comprehension and influencing psychological variables such as motivation, anxiety, and cognitive load among second language (L2) learners. …”
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Photovoltaic Farm Power Generation Forecast Using Photovoltaic Battery Model with Machine Learning Capabilities by Agboola Benjamin Alao, Olatunji Matthew Adeyanju, Manohar Chamana, Stephen Bayne, Argenis Bilbao

“…Microgrids integrating PV face challenges such as solar irradiance variability, temperature fluctuations, and intermittent generation, which impact grid stability and battery storage efficiency. …”
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Data-Driven Pavement Performance: Machine Learning-Based Predictive Models by Mohammad Fahad, Nurullah Bektas

“…This study utilizes a range of machine learning algorithms, including linear regression, decision tree, random forest, gradient boosting, K-nearest neighbour, Support Vector Regression, LightGBM and CatBoost, to analyse their effectiveness in predicting pavement performance. The input variables include axle load, truck load, traffic speed, lateral wander modes, asphalt layer thickness, traffic lane width and tire types, while the output variables consist of number of passes to fatigue damage, number of passes to rutting damage, fatigue life reduction in number of years and rut depth at 1.3 million passes. …”
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Sliding mode control based dynamic voltage restorer for voltage sag compensation by Ashraf K. Abdelaal, Abdullah M. Shaheen, Attia A. El-Fergany, Mohammed H. Alqahtani

“…The reliability and efficiency of electrical power systems are critical for modern industries, which increasingly rely on electric machines and devices. …”
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Enhancing nitrogen removal in constructed wetlands: The role of influent substrate concentrations in integrated vertical-flow systems by Tongtong Liu, Da Li, Yan Tian, Jiajie Zhou, Ye Qiu, Dongyi Li, Guohong Liu, Yujie Feng

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Nonlinear evaluation of reliability-based topology optimization of concrete deep beams by Rodrigo Reis Amaral, Jorge Luis Palomino Tamayo, Liércio André Isoldi, Herbert Martins Gomes

“…The scope here is to conduct a comparative analysis between a reference deep beam from the literature and the optimized topologies to determine the ultimate strength capacity and assess how material reduction affects the failure mode and ultimate load. …”
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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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Investigating the Factors Influencing Behavioral Intention and Adoption of Artificial Intelligence Technology: A Case Study of Cultivation and Industries at Razavi Agricultural Com... by A. Sani Heidary, E. Safari

“…However, the fear of technology variable has a negative and significant impact on people's behavioral intention.   …”
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Development of Starter Inoculum for Controlled <i>Arabica</i> Coffee Fermentation Using Coffee By-Products (Pulp and Mucilage Broth), Yeast, and Lactic Acid Bacteria by Anna María Polanía Rivera, Jhennifer López Silva, Laura Sofía Torres-Valenzuela, José Luis Plaza Dorado

“…The findings demonstrated a significant reduction in the pH from 4.47 to 4.05 and in the °Brix from 15.8 to 8.45, indicating efficient organic acid production and sugar degradation. …”
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Energy management for microgrids integrating renewable sources and hybrid electric vehicles by Wanying Liu, Chunqing Rui, Zilin Liu, Jinxin Chen

“…When PHEVs are included, KOA demonstrates cost reductions of up to 17.9 % across various charging modes, showcasing its adaptability and efficiency in dynamic energy systems.…”
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