Theoretical and Experimental Optical Evaluation and Comparison of Symmetric 2D CPC and V-Trough Collector for Photovoltaic Applications by Damasen Ikwaba Paul

“…The theoretical optical evaluation of the CPC and V-trough collector was carried out using a ray-trace technique while the experimental optical efficiency and solar energy flux distributions were analysed using an isolated cell PV module method. …”
Get full text

Evaluation of Sustainable Transportation in 25 European Countries Using GRA and Entropy MABAC by İbrahim Miraç Eligüzel, Nazmiye Eligüzel

“…The correlation analysis produced a coefficient of 0.8218, which is near 1 and implies a substantial correlation between the outcomes generated by GRA and entropy-MABAC, indicating that the outputs from both approaches are consistent. The findings indicate that the two methods are reliable and yield similar results.…”
Get full text

A High Accuracy and Large-Scale Detection for Fixed-Wing UAV Autonomous Ground Landing With GNSS-Denied by Bin Fang, Zhiwei Zhong, Xiangjun Jiang

“…To further facilitate large-scale range detection in GNSS-denied conditions, a landing guidance window is developed, enabling the efficient search for and tracking of UAVs. Moreover, a joint calibration method (JCM) is implemented to minimize discrepancies between the system’s outputs and GNSS data. …”
Get full text

Load Invariant CC and CV Modes for Static/Dynamic Wireless Charging System With Half-Bridge Multi-Leg Converter Topology by Aganti Mahesh, Bharatiraja Chokkalingam, Rajesh Verma, Lucian Mihet-Popa

“…The article presents a new method with fewer iterations to determine the optimal compensation parameters, ensuring that both the CC and CV outputs with ZPA comply with the SAE J2954 frequencies standards. …”
Get full text

AI-assisted super-resolution cosmological simulations IV: An emulator for deterministic realizations by Xiaowen Zhang, Patrick Lachance, Ankita Dasgupta, Rupert A. C. Croft, Tiziana Di Matteo, Yueying Ni, Simeon Bird, Yin Li

“…These results show the potential of this method for efficiently generating accurate simulations and mock observations for large galaxy surveys.…”
Get full text

Discrete-Time Dynamical Maximum Power Tracking Control for a Vertical Axis Water Turbine with Retractable Blades by Zhaoyong Mao, Qian Liu, Rongxin Cui

“…Two-dimensional Computational Fluid Dynamics (CFD) simulations are performed to obtain the maximum power points of the turbine’s output. To plot the tip speed ratio curve, the least squares method is employed. …”
Get full text

Advanced transient switching and coordinated power control strategies for flexible interconnection of multiple microgrids by Guoliang Li, Xia Lin, Lingyuan Kong, Wenhua Xia, Shuang Yan

“…Simulation case studies were conducted, and the results indicate that the proposed coordinated power control scheme effectively facilitated instantaneous interconnections between the isolated regions, thereby avoiding voltage disturbances and current surges. Furthermore, it efficiently equalized and distributed the output power from the distributed energy sources, thereby enhancing the operational flexibilities and stabilities of the MGs and distribution system.…”
Get full text

Dual Convolution Neural Networks of Ensemble Learning with Attention Mechanism for Rice Classification by Cheng Linfeng

“…Attention output is added back to input. At the same time, 10 evaluation indicators were introduced as the results of testing and evaluation. …”
Get full text

Analysis and design of the novel five harmonic peaking Class-EF power amplifier by Ehsan Sepahvand, Akram Sheikhi

“…Abstract This paper presents an analytical design method for the high-efficiency Class-EF $$_{n}$$ power amplifier (PA). …”
Get full text

Drought prediction based on an improved VMD-OS-QR-ELM model. by Yang Liu, Li Hu Wang, Li Bo Yang, Xue Mei Liu

“…The model first redefines the output of the hidden layer of the ELM model with orthogonal triangular matrix decomposition (QR) to construct an orthogonal triangular ELM (QR-ELM), and then introduces an online sequence learning mechanism (OS) into the QR-ELM to construct an online sequence OR-ELM (OS-QR-ELM), which effectively improves the efficiency of the ELM model. …”
Get full text

1.7 MV Tandem Accelerator Beam Tuning Optimization by JIANG Ran, LI Ailing, CUI Baoqun, TANG Bing, CHEN Haonan, WANG Yunfeng

“…The optimized beam transfer efficiency of 80% constitutes a substantial improvement over traditional manual methods, highlighting the algorithm’s efficacy in enhancing beam-tuning processes. …”
Get full text

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. …”
Get full text

Multistep Prediction Model for Photovoltaic Power Generation Based on Time Convolution and DLinear by WANG Shuyu, LI Hao, MA Gang, YUAN Yubo, BU Qiangsheng, YE Zhigang

“…[Objective] Photovoltaic power forecasting is a key technology to improve the efficiency of solar energy utilization and reduce operating costs. …”
Get full text

AI-augmented pathology: the experience of transfer learning and intra-domain data diversity in breast cancer metastasis detection by Manuel Cossio, Nina Wiedemann, Esther Sanfeliu Torres, Esther Barnadas Sole, Laura Igual

“…These automated approaches offer potential improvements in detection consistency and efficiency compared to conventional methods.ResultsThis study leverages transfer learning on hematoxylin and eosin (HE) WSIs to achieve computationally efficient metastasis detection without compromising accuracy. …”
Get full text

Exploring ChatGPT's potential for augmenting post-editing in machine translation across multiple domains: challenges and opportunities by Jeehaan Algaraady, Mohammad Mahyoob

“…Subsequently, three additional professional human post-editors evaluated both sets of post-edited outputs. To statistically assess the differences in quality between humans and ChatGPT-4o post-edits, a paired t-test was employed, focusing on metrics such as fluency, accuracy, coherence, and efficiency.ResultsThe findings indicated that human post-editors outperformed ChatGPT-4o in most quality metrics. …”
Get full text

Cross language transformation of free text into structured lobectomy surgical records from a multi center study by Xiongwen Yang, Yi Xiao, Di Liu, Huiyin Deng, Jian Huang, Yubin Zhou, Chuanzhou Dai, Jun Wu, Dan Liu, Maoli Liang, Chuan Xu

“…Experts reviewed the AI’s output, assessing it on accuracy, precision, recall, and F1 scores. …”
Get full text

Leveraging Big Data for Economic Stability: A Dashboard for ASEAN's Future Growth by Norfiza Ibrahim, Nurul Athirah Aziz, Azmi Abu Seman, Nadia Abdul Wahab, Aznoora Osman, Siti Sarah Md Ilyas

“…The present dashboard only displays the inflation rate and excludes other essential economic indicators such as total economic output, current GDP rate, currency rates, and unemployment rate. …”
Get full text

Optimal Sizing, Techno-Economic Feasibility and Reliability Analysis of Hybrid Renewable Energy System: A Systematic Review of Energy Storage Systems’ Integration by Akhlaque Ahmad Khan, Ahmad Faiz Minai, Rakesh Kumar Godi, Vijay Shankar Sharma, Hasmat Malik, Asyraf Afthanorhan

“…Improving dependability and smoothing down power output are two major benefits of ESS integration. …”
Get full text

Role of large language models in mental health research: an international survey of researchers’ practices and perspectives by John Torous, Zoë McClure, Jake Linardon, Mariel Messer, Cleo Anderson, Claudia Liu, Hannah K. Jarman, Simon B. Goldberg

“…Common challenges reported by users included inaccurate responses (78%), ethical concerns (48%) and biased outputs (27%). However, many users indicated that LLMs improved efficiency (73%) and output quality (44%). …”
Get full text

The impact of stator module gaps on the performance of canned permanent magnet synchronous motors with segmented stators by Li Ming, Zheng Jixin, Du Guanghui, Lun Shuxian

“…The test results verify the correctness and effectiveness of the proposed method and results. This study not only provides new insights into the complex interactions between module gap size, flux distribution, harmonic content, loss mechanisms, torque output, and efficiency in this specific motor structure, but also offers guidance for the optimized design of the CPMSM.…”
Get full text