Numerical thermodynamic-economic study and machine learning-based optimization of an innovative biogas-driven integrated power plant combined with sustainable liquid CO2 and liquid... by Ruijia Yuan, Fan Shi, Azher M. Abed, Mohamed Shaban, Sarminah Samad, Ahmad Almadhor, Barno Abdullaeva, Mouloud Aoudia, Salem Alkhalaf, Samah G. Babiker

“…Hence, a machine learning algorithm is implemented using artificial neural networks combined with the NSGA-II method for multi-criteria optimization, focusing on exergy efficiency, net present value, and products' sum unit cost as objective functions. …”
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‘Don't Assume, Ask’: A Collaboration With Consumers, Interpreters, Clinicians and Health Service Staff to Increase Video Telehealth in Culturally and Linguistically Diverse Groups... by Jaimon T. Kelly, Monica L. Taylor, Victor M. Gallegos‐Rejas, Susan Pager, Soraia de Camargo Catapan, Karen Lucas, Angel Bogicevic, Anthony C. Smith, Centaine Snoswell, Helen M. Haydon, Emma E. Thomas

“…Conclusion Our collaboration highlighted the need for more education and reinforcement to promote equitable and efficient processes for accessing telehealth appointments for CALD consumers requiring an interpreter. …”
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Investigating the Relationship between Air Pollutants and Meteorological Parameters in the Agricultural Sector of Mazandaran Province Using Logistic Regression by Majid Ghorbani, Abolfazl Mahmoodi, Mohammad Khaledi

“…In fact, this study is going to investigate the process of pollutants using logistic regression method and time series analysis to examine the efficiency and flexibility of these methods in modeling. 2-Materials and Methods Studied air pollution measuring stations in this work include Gulogah, Ghaemshahr, Sari and Kiasar stations. …”
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GPU-Based Implementation of Pruned Artificial Neural Networks for Digital Predistortion Linearization of Wideband Power Amplifiers by Wantao Li, Raul Criado, William Thompson, Gabriel Montoro, Kevin Chuang, Pere L. Gilabert

“…The linearized PA operating at an RF frequency of 2 GHz delivers a mean output power of 40 dBm with approximately 50% power efficiency when excited with 5G new radio (NR) signals with up to 200 MHz bandwidth and an 8 dB peak-to-average power ratio (PAPR). …”
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Measuring Location Dominance Based on Public Service Accessibility: Case Study of Shijiazhuang, China by Yuan Wang, Peipei Pan, Lijie Pu

“…The discussion of these findings confirms the validity of our method and the reliability of our results. Consequently, this method and its outputs can aid policymakers and urban planners in swiftly identifying subtle disparities in spatial accessibility for public services, thereby promoting urban equality and sustainability.…”
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A novel time difference of arrival localization algorithm using a neural network ensemble model by Zhenkai Zhang, Feng Jiang, Boyuan Li, Bing Zhang

“…Finally, the weighted average method is improved to combine the outputs of the different individual neural network, where weights are determined by the training errors. …”
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Development and Validation of Quantile Regression Forests for Prediction of Reference Quantiles in Handgrip and Chair‐Stand Test by Giulia Giordano, Luca Mastrantoni, Francesco Landi, The Lookup 8+ Study Group

“…The predictive outputs of these models may serve as surrogate biomarkers of the aging process, capturing functional decline.…”
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Deterministic nanoantenna array design for stable plasmon-enhanced harmonic generation by Jeong Tae-In, Oh Dong Kyo, Kim San, Park Jongkyoon, Kim Yeseul, Mun Jungho, Kim Kyujung, Chew Soo Hoon, Rho Junsuk, Kim Seungchul

“…We find that the coefficient of variation of the measured plasmonic THG yield enhancement decreases with the ROA. Thus, our method is beneficial for designing reliable sensors or nonlinear optical devices consisting of nanoantenna arrays for enhancing output signals.…”
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Investigating the Effect of using Different Energy Sources on Environmental Indices in Edible Oil Processing by Yaser Rahmati Khorshidi, Hemmatollah Pirdashti, Ali Motevali, Seyed Hashem Samadi, Benyamin Khoshnevisan

“…The life cycle assessment (LCA) was performed using SimaPro software with the ReCiPe 2016 model, analyzing every 1000 kg of packaged rapeseed oil output across three fundamental categories: human health consequences, ecosystem quality preservation, and resource utilization efficiency.Results and DiscussionSimulation results showed that gasification technology achieves optimal performance within an equivalence ratio range of 0.20–0.45, with detailed analysis indicating that exceeding this range significantly reduces both gas yield and system efficiency. …”
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Research on Ship Heave Motion Compensation Control Under Complex Sea State Environment Based on Improved Reinforcement Learning by ZHANG Qin, ZHOU Jingyi, WANG Xingyue, HU Xiong

“…Therefore, this study presents a compensation control method for ship heave under complex sea conditions using an improved reinforcement learning approach.MethodsThis novel method imparts fresh insights into addressing heavy compensation in offshore operations and heralds a new trajectory for the evolution of future offshore operation technologies. …”
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Processor-in-the-Loop validation of direct power control based on fractional-order modified super-twisting algorithm for doubly-fed induction generators by Mourad Yessef, Habib Benbouhenni, Ahmed Lagrioui, Nicu Bizon, Badre Bossoufi, Saad F. Al-Gahtani, Z. M. S. Elbarbary

“…The proposed FOMSTC strategy exhibits simplicity, minimal gain requirements, straightforward implementation in embedded systems, and rapid dynamic response, positioning it as an effective control method. This methodology was utilized in the research to enhance energy quality and reduce the Total Harmonic Distortion (THD) of the system’s output currents, all while limiting DFIG power overshoot. …”
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Relaxation Parameter Optimization in Electrical-to-Mechanical Co-Simulation Based on Time Windowing WR Technique by Md Moktarul Alam, Richard Perdriau, Mohammed Ramdani, Mohsen Koohestani

“…The WR method exhibited significantly lower power efficiency (57.4%) compared to the full system (81.4%), rendering it insufficient. …”
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Low-carbon optimization scheduling of IES based on enhanced diffusion model for scenario deep generation by Danhao Wang, Daogang Peng, Dongmei Huang, Huirong Zhao, Bogang Qu

“…Secondly, an enhanced DM optimized with a VAE (Variational Autoencoder) is developed. By efficiently generating data in the latent space, this model enhances the representation capability of uncertainty factors, enabling precise modeling of fluctuations in wind and solar power outputs as well as heating, cooling, and electrical loads. …”
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Simulation Analysis of p-type Gallium Oxide Prepared by Proton Irradiation Transmutation Doping by SHAN Ziyang, JIAO Xuesheng, YUAN Daqing

“…Proton irradiation transmutation doping is considered to be a more likely p-type doping method than thermal diffusion method and ion implantation method. …”

SSCD-YOLO: Semi-Supervised Cross-Domain YOLOv8 for Pedestrian Detection in Low-Light Conditions by Fangliang Cao, Kai Yan, Hongliang Chen, Zhen Wang, Yunliang Du, Zekang Zheng, Kefan Li, Baozhu Qi, Mingjia Wang

“…First, a CDF-CycleGAN cross-domain image fusion method is designed, which improves the input of CycleGAN using a diffusion model, integrates the self-attention mechanism into the residual network of the CycleGAN generator to design the SA-Block, replaces the linear layer in the CycleGAN discriminator with an autoencoder, and improves the training method of CycleGAN. …”
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Integrating PCA and DEA techniques for strategic assessment of network security by Reza Rasinojehdehi, Seyyed Najafi

“…As a rule of thumb, the number of DMUs should be at least three times larger than the sum of the numbers of inputs and outputs to maintain DEA's discriminating power. Through the combined application of DEA and PCA, this research contributes a comprehensive and efficient method for evaluating and classifying computer network security, providing valuable insights for enhancing overall network resilience against cyber threats.…”
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Optimal Scheduling of Electric Vehicle Integrated Energy Station Using a Novel Many-Objective Stochastic Competitive Optimization Algorithm by Bangli Yin, Xiang Liao, Beibei Qian, Jun Ma, Runjie Lei

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Adaptive models of the four-switch buck-boost converter by O.V. Vasylenko, G.V. Snizhnoi

“…The prospects for using a FSBB converter in energy conversion systems where the input and output voltages vary relative to each other are shown. …”
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System modelling and characteristic research of novel high water-based synchronous lubrication piston pump by Hao JIANG, Lang YU, Yongkang LI

“…The results show that the proposed synchronous lubrication method can produce lubricating oil in the lubrication chamber with increasing speed. …”
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Vision-Language Model-Based Local Interpretable Model-Agnostic Explanations Analysis for Explainable In-Vehicle Controller Area Network Intrusion Detection by Jaeseung Lee, Jehyeok Rew

“…This integration mitigates the challenges of visual-only explanations in traditional XAI and enhances the intuitiveness of IDS outputs. By leveraging the multimodal reasoning capabilities of VLMs, the proposed method bridges the gap between visual and textual interpretability. …”
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