Quantum-inspired robust optimization for coordinated scheduling of PV-hydrogen microgrids under multi-dimensional uncertainties by Yunxiao Bai, Yu Sui, Xiaoyu Deng, Xiangbing Wang

“…These include fluctuations in PV output, stochastic hydrogen demand, and volatile market prices. …”
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INFLUENCE OF CONSUMPTION STRUCTURE FOR ENTERPRISE WHILE INTRODUCING ENERGY SAVING MEASURES by A. V. Ershov, V. T Dolgikh

“…Development of methods for complex efficiency evaluation of measures on energy saving can be based on usage of single-factor mathematical models for specific consumption of fuel and power resources by output volume. …”
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Cu2+/Cu+ redox-cycling-driven dual-mode sensor for simultaneous monitoring of acetylcholinesterase activity and pesticide exposure by Sitong Lai, Sitong Lai, Kunhui Sun, Kunhui Sun, Yun Wu, Xueyuan Wu, Yiqi Yan, Yiqi Yan, Guojing Liu, Xiaoyi Liu, Yuanyuan Ge, Lina Zeng, Ziyu Guo, Shuhong Wang, Ping Wang, Bing Wang, Han Zhang, Xie-an Yu

“…To address this, this study presented an innovative dual-mode sensor driven by Cu2+/Cu+ redox-cycling, which achieved efficient signal transduction from enzyme inhibition to optical response for rapid acetylcholinesterase (AChE) activity and organophosphorus pesticide (OP) residue detection.MethodsThe AB-Cu NPs sensor, a dynamic redox-responsive system, was constructed via coordination-driven assembly of Azo-Bodipy 685 (AB 685) and Cu2+. …”
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Application of supervised machine learning and unsupervised data compression models for pore pressure prediction employing drilling, petrophysical, and well log data by Abu Bakker Siddique, Tanveer Alam Munshi, Nazmul Islam Rakin, Mahamudul Hashan, Sushmita Sarker Chnapa, Labiba Nusrat Jahan

“…Conventional techniques for forecasting pore pressure, such as the Eaton, Bower, or compressibility methods, have certain constraints. These methods depend on empirical relationships and constants that can differ between basins. …”
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Accurate Prediction of Compression Index of Normally Consolidated Soils Using Artificial Neural Networks by Ali Ulvi Uzer

“…However, traditional consolidation testing methods are notably time-consuming, typically spanning a 15-day period for preparation, execution, and parameter calculation, leading to significant delays in civil engineering projects. …”
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Fire spread simulations using Cell2Fire on synthetic and real landscapes by Minho Kim, Cristobal Pais, Marta C. Gonzalez

“…In response, we used two optimization methods to improve the simulation’s accuracy. First, we adopted a multi-objective optimization algorithm that scales the elliptical shape of the Cell2Fire’s output based on rate of spread (ROS) and eccentricity. …”
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Hybrid MPPT control using hybrid pelican optimization algorithm with perturb and observe for PV connected grid by Burhan U. Din Abdullah, Suman Lata Dhar, Shiva Pujan Jaiswal, Muhammad Majid Gulzar, Muhammad Majid Gulzar, Mohammad Alqahtani, Muhammad Khalid, Muhammad Khalid

“…Operating current and voltage fluctuations, driven by temperature and radiation changes, significantly impact power output. Traditional Maximum Power Point Tracking (MPPT) methods struggle to adapt accurately to these dynamic environmental conditions. …”
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A Low-Cost Antipodal Vivaldi Antenna-Based Peanut Defect Rate Detection System by Yuanyuan Yin, Fangyan Ma, Xiaohong Liu, Shuhao Wang, Junjie Xia, Liqing Zhao

“…This low-cost setup enables real-time evaluation of peanut pod defects and efficiently categorizes the defect rate without the time-consuming sample preparation and tiling operations required by traditional image-based inspection methods. …”
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Multi-objective coordinated control and optimization for photovoltaic microgrid scheduling by Da Yu, Kai Hou, Xu Lin, Guoyang Cai, Xin Shan, Weihua Wang

“…A tri-objective optimization model is formulated to minimize operational costs, environmental pollution, and grid output fluctuation variance, with decision-making supported by the Entropy Weight TOPSIS method. …”
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The Optimal Cost Design of Reinforced Concrete Beams Using an Artificial Neural Network—The Effectiveness of Cost-Optimized Training Data by Jaemin So, Seungjae Lee, Jonghyeok Seong, Donwoo Lee

“…This study presents a method for the automated design of reinforced concrete (RC) beam cross-sections using an artificial neural network (ANN) trained with cost-optimized data generated by the crow search algorithm (CSA). …”
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In vivo keratotomy by mid-infrared femtosecond laser resonant with amide vibrational mode by Jinmiao Guo, Pengfan Chen, Maoxing Xiang, Kan Tian, Zhongjun Wan, Linzhen He, Wenkai Li, Xu Peng, Yujie Peng, Xiangyi Wen, Longqian Liu, Qi Jie Wang, Yuxin Leng, Houkun Liang

“…However, NIR femtosecond lasers encounter challenges such as postoperative astigmatism due to scattering by edematous tissues, and endothelial cells distortion by mechanical impact. Methods The mid-infrared (MIR) femtosecond lasers at a central wavelength of 6.1 μm resonating with amide modes has an output power of 100 mW and a pulse width of ~200 fs. …”
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Research progress on characteristics of secondary aluminum dross and its detoxification and utilization by Kun LIN, Yuanbo ZHANG, Zijian SU, Jiamei XU, Tao JIANG

“…Furthermore, gases such as H2, CH4, and NH3 are unavoidably generated during the hydrometallurgical process; these gases serve as a valuable by-product as well as a potential risk. Hence, methods for regulating the generation of these gases in a targeted manner and efficiently recycling them are also a future direction of study.…”
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Prompt Framework for Extracting Scale-Related Knowledge Entities from Chinese Medical Literature: Development and Evaluation Study by Jie Hao, Zhenli Chen, Qinglong Peng, Liang Zhao, Wanqing Zhao, Shan Cong, Junlian Li, Jiao Li, Qing Qian, Haixia Sun

“…Self-verification ensures the reliability of the final output. A dataset of manually annotated Chinese medical journal papers was constructed, focusing on three key entity types: scale names, measurement concepts, and measurement items. …”
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RESEARCH INTO SPEECH-TO-TEXT TRANFROMATION MODULE IN THE PROPOSED MODEL OF A SPEAKER’S AUTOMATIC SPEECH ANNOTATION by Olesia Barkovska

“…The following research of the author is focused on the study of the methods of the obtained text summarization module efficiency. …”
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Optimal Scheduling Strategy for Virtual Power Plant Considering Electricity-Gas-Heat Coupling and Demand Response by Shijie WANG, Tianbo FENG, Ning SUN, Ke HE, Jiawen LI, Cheng YANG, Haoyang CUI

“…The combined heat and power (CHP) units can not meet the maximum heating efficiency and power peak shaving demand in winter at the same time, and there exit problems of insufficient power generation output regulation ability. …”
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Prediction-Based Distributed State Estimation Control for IoT-Enabled Train Positioning Systems by L. Ponnarasi, P. B. Pankajavalli, Y. Lim, R. Sakthivel, Sultan Alfarhood, Mejdl Safran

“…Finally, the simulation results demonstrate the efficiency of the proposed predictive estimator design under output measurements affected by diverse noises, anomalous reading, varying train operational states and external disturbances. …”
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Shared energy storage planning based on the adjustable potential of data center based on visual IOT platform by Lei Su, Wanli Feng, Haoyu Ma, Mingjiang Wei, RuoShi Gu, Ziya Chen, Junda Qin

“…Abstract To address the challenges of low utilization and poor economic efficiency associated with decentralized energy storage configurations in data centers, this study proposes a shared energy storage planning method for data center groups based on the adjustable potential of data center based on visual IOT platform, which leverages differences and complementarities in energy storage requirements under different scenarios to minimize investment costs while maximizing operational benefit. …”
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Double weighted k nearest neighbours for binary classification of high dimensional genomic data by Amjad Ali, Zardad Khan, Hailiang Du, Saeed Aldahmani

“…The high dimensional nature of this type of data, characterized by a large number of gene features substantially exceeding its sample size, makes it challenging for existing methods to work efficiently in terms of prediction accuracy and execution time. …”
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AUTOMATIC SCORING OF KNOWLEDGE GAINED AND SHARED THROUGH DISCUSSION FORUMS: BASED ON THE COMMUNITY OF INQUIRY MODEL by P.A.L. Nadeesha, T.A. Weerasinghe, W.R.N.S Abeyweera

“…A weighted voting ensemble method was employed to combine the outputs of the individual classifiers. …”
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Visualizing UNet Decisions: An Explainable AI Perspective for Brain MRI Segmentation by D. Jeya Mala, Mainak Chattopadhyay, Parthiba Mukhopadhyay, Roopak Sinha

“…A comprehensive analysis of the results highlights the clinical implications of these findings, addressing the relative utility of different XAI methods in visualizing UNet’s outputs using metrics like fidelity, unambiguity and stability. …”
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