Capacity Estimation and Knee Point Prediction Using Electrochemical Impedance Spectroscopy for Lithium Metal Battery Degradation via Machine Learning by Qianli Si, Shoichi Matsuda, Yasunobu Ando, Toshiyuki Momma, Yoshitaka Tateyama

“…Conversely, high‐frequency features related to charge transfer resistance play a dominant role in the KP detection. To reduce data complexity and improve model efficiency, the input by selecting specific frequency points based on SHAP values is further optimized. …”
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Explainable artificial intelligence for sustainable urban water systems engineering by Shofia Saghya Infant, Sundaram Vickram, A Saravanan, C M Mathan Muthu, Devarajan Yuarajan

“…Explainable Artificial Intelligence (XAI) has potential for revolutionary improvements in operational efficiency, resilience, and decision-making in the engineering of sustainable urban water systems. …”
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Integrated Leakage Control Technology for Underground Structures in Karst Terrains: Multi-Stage Grouting and Zoned Remediation at Guangzhou Baiyun Metro Station by Yanhong Wang, Wentian Xu, Shi Zheng, Jinsong Liu, Muyu Li, Yili Yuan

“…This study presents a comprehensive treatment system for addressing leakage challenges in underground structure construction within complex karst terrains, demonstrated through the case of Baiyun Station in Guangzhou. …”
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Implementation of a Flexible Real-Time Radar Architecture of Vital Signs Based on Cyclic Temporal Moment Algorithms Using SDR Technology by Fatima Sekak, Fouzia Elbahhar, Madjid Haddad

“…The proposed prototype is based on the complex received signal, which contains information about the heartbeat and respiration rates (RRs). …”
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LGFaware-meshing: online mesh reconstruction from LiDAR point cloud with awareness of local geometric features by Yaoqian Niu, Hao Chen, Jun Li, Chun Du, Jiangjiang Wu, Yunsheng Zhang

“…Recently, online mesh reconstruction from light detection and ranging (LiDAR) measurements has garnered significant interest because of its high efficiency. …”
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A Comparison of Machine Learning Algorithms for Predicting Alzheimer’s Disease Using Neuropsychological Data by Zakaria Mokadem, Mohamed Djerioui, Bilal Attallah, Youcef Brik

“…These findings highlight the robustness and efficiency of ensemble learning algorithms, especially in handling complex, non-linear data structures. …”
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Research on Intelligent Diagnosis of Corrosion in the Operation and Maintenance Stage of Steel Structure Engineering Based on U-Net Attention by Zhen Duan, Xinghong Huang, Jia Hou, Wei Chen, Lixiong Cai

“…Intelligent corrosion diagnosis plays a crucial role in enhancing the efficiency of operation and maintenance for steel structures. …”
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A framework for assessing reliability of observer annotations of aerial wildlife imagery, with insights for deep learning applications. by Rowan L Converse, Christopher D Lippitt, Steven E Sesnie, Grant M Harris, Matthew J Butler, David R Stewart

“…There is growing interest in using deep learning models to automate wildlife detection in aerial imaging surveys to increase efficiency, but human-generated annotations remain necessary for model training. …”
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RACF: A Multimodal Deep Learning Framework for Parkinson’s Disease Diagnosis Using SNP and MRI Data by Jiangbo Cao, Xiaojing Long

“…In contrast to traditional methods, deep learning models are capable of processing large-scale, high-dimensional, and complex datasets to automatically learn latent feature relationships, making them particularly suitable for scenarios involving multimodal data fusion. …”
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A comprehensive review-current development in spectroscopic and chromatographic techniques for natural product analysis by Abraham Dilnesa Gashaw, Mekonnen Abebayehu Desta, Estifanos Ele Yaya

“…Current research on plant secondary metabolites is limited by low detection sensitivity, incomplete spectral databases, and challenges in separating complex mixtures. …”
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Practical Aspects of Using Artificial Intelligence Programs in the Analytical Work of the Department by Chupryna Leonid

“…Certain services that allow one to detect fake images, videos, other interventions, and content manipulation, are provided. …”
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Opportunities, challenges, and interventions for agriculture 4.0 adoption by Shanmugam Vijayakumar, Varunseelan Murugaiyan, S. Ilakkiya, Virender Kumar, Raman Meenakshi Sundaram, Rapolu Mahender Kumar

“…It automates farm operations, enhances crop yield, food quality, safety, traceability, resource use efficiency, early issue detection, and minimises waste. …”
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Basketball teaching methods based on 3D-Convolutional neural network by Chao Huang, Xian Wu

“…The optimized algorithm is then used for video skilled movement detection processing to obtain cropped frame images. …”
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The role of a national evaluation system in promoting dairy sustainability* by Asha M. Miles, Kristen L. Parker Gaddis, John B. Cole, Robert H. Fourdraine

“…The dairy industry has achieved tremendous gains in productive efficiency following decades of work with these goals in mind. …”
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Link Prediction in Social Networks Using the HTOA by Foad Asef, Vahid Majidnezhad, Mohammad-Reza Feizi-Derakhshi

“…Social networks are complex and dynamic data structures whose analysis holds significant importance. …”
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Rapid diagnosis of power battery faults in new energy vehicles based on improved boosting algorithm and big data by Jiali Wang, Jia Chen

“…Big data refers to large-scale, complex datasets that exceed traditional data processing capabilities. …”
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Enhancing Vegetation Mapping in Mexico through Artificial Intelligence and Remote Sensing Techniques by R. Orozco Gálvez, H. Ramos Ramos, J. C. Camacho Pérez, J. L. Ornelas de Anda, C. M. López López, A. K. Ahedo Díaz

“…This remarkable ecological variety is influenced by the country’s complex topography, diverse climates, and varying soil conditions. …”
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Mobile Mapping System for Urban Infrastructure Monitoring: Digital Twin Implementation in Road Asset Management by Vittorio Scolamiero, Piero Boccardo, Luigi La Riccia

“…The goal of urban digitalization is to provide a digital representation of physical infrastructure, data, information, and procedures for the management of complex anthropogenic systems. To meet this new goal, one must be able to understand the urban system through the integrated use of different methods in a multi-level approach. …”
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Pre-mRNA processing factors differentially impact coordination between co-transcriptional cleavage and transcription termination by Xianhao Jin, Juzuo Li, Wenqin Lu, Xian Deng, Yanping Wei, Yi Shu, Bo Liu, Zhijian Liu, Yanping Long, Xinlong Zhu, Qili Fei, Yiji Xia, Qingshun Q. Li, Scott D. Michaels, Xiaofeng Cao, Michael Lenhard, Jixian Zhai

“…Our results reveal diverse roles for these processing factors in coordinating cleavage and termination: core components of CPSF and CstF complex stimulate both cleavage and termination, facilitating access to exoribonuclease AtXRN3; mutations in nuclear poly(A) polymerase PAPS1 and AtXRN3 caused delayed termination with minimal effects on cleavage, suggesting their roles are further downstream; BORDER proteins facilitate termination while simultaneously inhibiting cleavage, suggesting a complex interplay between these two actions; the phosphatase SSU72 specifically promotes efficient termination without affecting cleavage. …”
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Variations over 20 Years in Vegetation Dynamics and Its Coupled Responses to Individual and Compound Meteorological Drivers in Sichuan Province, China by Qian Deng, Chenfeng Zhang, Jiong Dong, Yanchun Li, Yunyun Li, Yi Huang, Hongxue Zhang, Jingjing Fan

“…This research advances our understanding of the complex interactions between vegetation dynamics and climatic factors in Sichuan Province and provides valuable insights for predicting future vegetation growth trends.…”
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