Stochastic evolutionary system with Markov-modulated Poisson perturbations in the averaging schema by S. A. Semenyuk, Ya. M. Chabanyuk

“…The stochastic evolutionary system perturbed by the compensated Poisson process with an additional jump size function is described. We build the generator for an evolution process and investigate its asymptotic properties. …”
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Enhancing image retrieval through optimal barcode representation by Rasa Khosrowshahli, Farnaz Kheiri, Azam Asilian Bidgoli, H. R. Tizhoosh, Masoud Makrehchi, Shahryar Rahnamayan

“…Abstract Data binary encoding has proven to be a versatile tool for optimizing data processing and memory efficiency in various machine learning applications. …”
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Optimization of Physicochemical Parameters during the Electrocoagulation Cadmium Elimination by Abdelaaziz Aityoub, Abdesselam Abouelfida, Abdelaziz Benyaich, Abderrahmane Romane, Mohamed Elmeray, Rachid Idouhli, Yassine Koumya, Mohyeddine Khadiri

“…The criteria adopted during the optimization of the process are relatively different from those used in similar studies. …”
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The Evolution of AI Applications in the Energy System Transition: A Bibliometric Analysis of Research Development, the Current State and Future Challenges by Daniel Icaza Alvarez, Fernando González-Ladrón-de-Guevara, Jorge Rojas Espinoza, David Borge-Diez, Santiago Pulla Galindo, Carlos Flores-Vázquez

“…Future lines of research could focus on energy demand forecasting, dynamic adjustments in energy distribution between different generation sources, energy storage, and usage optimization.…”
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Assessment of the antioxidant and antibacterial activities of different olive processing wastewaters. by Majdouline Belaqziz, Shiau Pin Tan, Abdelilah El-Abbassi, Hajar Kiai, Abdellatif Hafidi, Orla O'Donovan, Peter McLoughlin

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Generative Adversarial Network for Real‐Time Flash Drought Monitoring: A Deep Learning Study by Ehsan Foroumandi, Keyhan Gavahi, Hamid Moradkhani

“…GAN contains two models: (a) discriminator and (b) generator. The developed architecture in this study employs a Markovian discriminator, which emphasizes the spatial dependencies, with a modified U‐Net generator, tuned for optimal performance. …”
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Control Research on Active Pitch Control System for Horizontal-Axis Tidal-Current Turbine Generator by Fuli Zhang, Wanqiang Zhu, Shuai Zu, Xueming Zhang, Jianmei Chen, Baigong Wu, Jipeng Huang

“…Simulation was carried out on the MATLAB/Simulink (2023a) platform to evaluate the performance of the two controllers under different flow rates and interference conditions. …”
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Firefly algorithm with multiple learning ability based on gender difference by Wenning Zhang, Chongyang Jiao, Qinglei Zhou

“…Meanwhile, female fireflies update positions guided by two elite male individuals, effectively leveraging historical search information to improve exploitation capability. The performance is evaluated on 23 numerical functions, 30 CEC 2017 benchmark functions and an automatic test data generation problem. …”
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How AI Brand Endorsers Influence Generation MZ’s Consumer Behavior in Metaverse Marketing Scenarios by Junping Xu, Yuxi Feng, Wei Li, Qianghong Huang, Zhizhong Fan

“…Additionally, we performed Multi-Group Analysis (MGA) to reveal differences among various occupations and generations. …”
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Combination of Conditioning Factors for Generation of Landslide Susceptibility Maps by Extreme Gradient Boosting in Cuenca, Ecuador by Esteban Bravo-López, Tomás Fernández, Chester Sellers, Jorge Delgado-García

“…The algorithm implemented is Extreme Gradient Boosting (XGBoost), which was used to evaluate the susceptibility to landslides recorded in the city of Cuenca (Ecuador) and its surroundings, generating the respective Landslide Susceptibility Maps (LSM). …”
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Energy Hub Management considering Demand Response, Distributed Generation, and Electric Vehicle Charging Station by Mohammad Hasan Nikkhah, Hossein Lotfi, Mahdi Samadi, Mohammad Ebrahim Hajiabadi

“…Multicarrier energy systems have systematic flexibility for energy and load management. The integration of different types of energy under the title “energy hub” (EH) in multiple energy infrastructures such as electricity, natural gas, and heat in an integrated manner will meet demand at a lower cost. …”
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Low-Light Image Enhancement via New Intuitionistic Fuzzy Generator-Based Retinex Approach by M. S. Ragavendirane, S. Dhanasekar

“…Experimental results demonstrate that the proposed algorithm consistently outperforms existing image enhancement methods, yielding images that maintain optimal balance in contrast level and detail using standard full referral metrics such as absolute mean brightness error, mutual information, peak signal to noise ratio, and non-referral metrics like entropy, contrast per pixel, spatial frequency, blind reference less image spatial quality evaluator, and mean intensity gradient.…”
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System design and scaling trends in airborne wind energy demonstrated for a ground-generation concept by R. Joshi, D. von Terzi, R. Schmehl

“…The variables used to define the system were the wing area, aspect ratio, tether diameter, and rated power of the generator. The framework was employed to find optimal system designs for rated power ranging from 100 to 2000 kW. …”
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Sustainable Heat Generation in Flow from a Molecular Solar Thermal Energy Storage System by Lucien Magson, Dario Maggiolo, Angela Sasic Kalagasidis, Stefan Henninger, Gunther Munz, Markus Knäbbeler‐Buß, Helen Hölzel, Kasper Moth‐Poulsen, Ignacio Funes‐Ardoiz, Diego Sampedro

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Bio-Power Generation in Microbial Fuel Cell with Vermicompost Using <i>Eisenia foetida</i> by Adriana Solares Basurto, Mateo Pérez Ruiz, María Angélica Luján Vega, Juan Manuel Olivares-Ramírez, Irma Lucía Vera-Estrada, José Eli Eduardo González-Duran, Juvenal Rodríguez Reséndiz

“…In this study, the performance of MFCs was evaluated using different numbers of <i>Eisenia foetida</i> specimens, with three specimens (MFC<i>_W</i>₃), five specimens (MFC<i>_W</i>₅), and seven specimens (MFC<i>_W</i>₇). …”
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Development of a Conditional Generative Adversarial Network Model for Television Spectrum Radio Environment Mapping by Oluwatobi Emmanuel Dare, Kennedy Okokpujie, Emmanuel Adetiba, Olabode Idowu-Bismark, Abdultaofeek Abayomi, Raymond Jules Kala, Emmanuel Owolabi, Udeme Christopher Ukpong

“…The model performance was evaluated using mean square error (MSE) and mean absolute error (MAE). 12 different experiments were carried out varying the training parameters of the CGAN architecture to obtain an optimal model. …”
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Leave as Fast as You Can: Using Generative AI to Automate and Accelerate Hospital Discharge Reports by Alex Trejo Omeñaca, Esteve Llargués Rocabruna, Jonny Sloan, Michelle Catta-Preta, Jan Ferrer i Picó, Julio Cesar Alfaro Alvarez, Toni Alonso Solis, Eloy Lloveras Gil, Xavier Serrano Vinaixa, Daniela Velasquez Villegas, Ramon Romeu Garcia, Carles Rubies Feijoo, Josep Maria Monguet i Fierro, Beatriu Bayes Genis

“…The system was developed through iterative cycles, integrating various instruction flows and evaluating five different LLMs combined with prompt engineering strategies and agent-based architectures. …”
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Optimization and application of vision-based large models in educational scenarios by XU Yuepeng, XU Chaidi, GUO Jinjun, JIANG Yunqiao, WANG Shijia, LIU Yao

“…Additionally, RAG technology was utilized to ensure accuracy and richness in generated content. In terms of deployment and application, VELM was implemented through the Dify platform, enabling flexible multi-end deployment, including WeChat mini programs, Web cloud platforms, and localized deployment, meeting the diverse needs of different educational scenarios. …”
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Design Methodology and Economic Impact of Small-Scale HAWT Systems for Urban Distributed Energy Generation by Marina Budanko, Zvonimir Guzović

“…The findings offer insights into the technical and economic viability of small-scale HAWT configurations for distributed energy generation across diverse urban locations with varying wind profiles.…”
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Optimizing photovoltaic parameters with Monte Carlo and parallel resistance adjustment by Fatima Wardi, Mohamed Louzazni, Mohamed Hanine, Elhadi Baghaz, Sanjeevikumar Padmanaban

“…In the end, to evaluate the algorithm’s effectiveness, statistical measurements such as Individual Absolute Error (IAE), Relative Error (RE), Mean Absolute Error (MAE), SD, TS, NFM, ACF, and RMSE are calculated to ensure the correctness of the generated parameters. …”
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