A method integrating a non-stationary random field for constrained inversion of CSAMT data by Qianwei DAI, Luyao GUO, Yun WU, Zhexian XIONG, Dan DUAN, Zhonglin BAO, Hongfei WU, Fengyun HAO

“…ObjectiveThe inversion of controlled-source audio-frequency magnetotelluric (CSAMT) data remains challenging due to two key issues: computational efficiency and resolution. To tackle these two issues, especially the over-smoothing effect caused by traditional regularization methods in estimating complex geological structures, this study proposed an improved regularization inversion method to reflect the spatial distribution characteristics of subsurface physical property parameters more accurately. …”
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Determination of the maximum number of employees of the JSC Russian Railways engaged in transportation activities when planning measures for programs to increase labor productivity by E. N. Efimova, P. A. Shanchenko, E. V. Ershova

“…Optimization of its number is reflected in the characteristics of the production process, and above all on its sustainability. …”
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Large Language Models Meet Graph Neural Networks: A Perspective of Graph Mining by Yuxin You, Zhen Liu, Xiangchao Wen, Yongtao Zhang, Wei Ai

“…Within this framework, we reveal the capabilities of LLMs in enhancing graph feature extraction as well as improving the effectiveness of downstream tasks such as node classification, link prediction, and community detection. Although LLMs have demonstrated their great potential in handling graph-structured data, their high computational requirements and complexity remain challenges. …”
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A Novel Authentication Management for the Data Security of Smart Grid by Imtiaz Parvez, Maryamossadat Aghili, Hugo Riggs, Aditya Sundararajan, Arif I. Sarwat, Anurag K. Srivastava

“…The second layer monitors and verifies exchanged data packets among smart meters. It detects abnormal packets from suspicious sources. …”
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Remote Non-Destructive Testing of Port Cranes: A Review of Vibration and Acoustic Sensors with IoT Integration by Jan Lean Tai, Mohamed Thariq Hameed Sultan, Rafał Grzejda, Farah Syazwani Shahar

“…Safe and efficient operation of port cranes is vital for maintaining the efficiency of global maritime logistics. …”
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Biofilm in endodontics Part I. Properties and methods of study  (review of the literature)

“…In the root canal system (RCS), the organization of microflora in biofilms has also been detected. Complex structure and individual variability of RCS in combination with unique properties of biofilm make disinfection of this system problematic. …”
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Pointer meters recognition method in the wild based on innovative deep learning techniques by Jiajun Feng, Haibo Luo, Rui Ming

“…This demonstrates its robustness in real scenarios and provides a new idea for recognizing pointers in low-quality images more efficiently and accurately in complex industrial scenarios.…”
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Unit Size Determination for Exploratory Brain Imaging Analysis: A Quest for a Resolution-Invariant Metric by Jihnhee Yu, HyunAh Lee, Zohi Sternberg

“…Defining an adequate unit size is often crucial in brain imaging analysis, where datasets are complex, high-dimensional, and computationally demanding. …”
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HCAP: Hybrid cyber attack prediction model for securing healthcare applications. by Mohanad Faeq Ali, Mohammed Shakir Mohmood, Ban Salman Shukur, Rex Bacarra, Jamil Abedalrahim Jamil Alsayaydeh, Masrullizam Mat Ibrahim, Safarudin Gazali Herawan

“…However, the existing model's efficiency depends on the diversity of data, which leads to computational complexity issues. …”
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A simple validation and screening method for CRISPR/Cas9-mediated gene editing in mouse embryos to facilitate genetically modified mice production. by Dawid Winiarczyk, Hossein Khodadadi, Paweł Leszczyński, Hiroaki Taniguchi

“…We propose herein an evaluation method (cleavage assay - CA) for CRISPR/Cas9-mediated gene editing in preimplantation mouse embryos that allows us to detect mutants efficiently and later on initiate in vivo production without the extensive number of samples needing to be sent for Sanger sequencing and animal usage. …”
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A Resilient Deep Learning Approach for State Estimation in Distribution Grids With Distributed Generation by Ronald Kfouri, Harag Margossian

“…Results demonstrate that our method efficiently solves the DSSE problem—which cannot be solved using conventional methods—and detects and mitigates bad data, further enhancing the reliability of the state estimation results.…”
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Improved Algorithm for Analysis of DNA Sequences Using Multiresolution Transformation by T. M. Inbamalar, R. Sivakumar

“…Existing digital signal processing (DSP) methods provide less accurate and computationally complex solution with greater background noise. Hence, improvements in accuracy, computational complexity, and reduction in background noise are essential in identification of the protein coding regions in the DNA sequences. …”
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Analysis of digital intelligent financial audit system based on improved BiLSTM neural network by Zhu Xincai

“…Traditional auditing methods have difficulties in detecting various financial issues hidden in massive amounts of data. …”
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Early diagnosis of streptococcus cristatus in blood culture-negative infective endocarditis by capture-based metagenomic next-generation sequencing: a case report by Dong Wang, Hui Wang, Dan Zhang, Xinsheng Yan

“…BackgroundInfective endocarditis (IE) is a life-threatening infectious cardiac condition characterized by therapeutic complexity and high mortality rates, for which precise pathogen identification is critical to guide accurate treatment. …”
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Enhancing Road Scene Segmentation With an Optimized DeepLabV3+ by Zhe Ren, Libao Wang, Tianming Song, Yihang Li, Jian Zhang, Fengfeng Zhao

“…These experimental results demonstrate a significant improvement in balancing detection capabilities with real-time performance.…”
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Automated classification of epileptic seizures using modified one-dimensional convolution neural network based on empirical mode decomposition with high accuracy by Ibtihal Hassan Elshekhidris, Magdi B. M. Amien, Ahmed Fragoon

“…Therefore, to help with patients' long-term assessment and treatment, an effective automatic detection system is required. Traditional methods of machine learning require step of feature extraction by manual which leads to time consuming, for it we modified in one-Dimensional convolution neural network architecture for features extraction and features dimension reduction for makes the classification low computational complexity and more accurate.Methods: In this study, we did a comparison between three methods for classification: support vector machine, artificial neural network and one-dimensional convolution neural network. …”
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Histopathological Image Analysis Using Deep Learning Framework by Sudha Rani Vupulluri, Jogendra Kumar Munagala

“…Therefore, histologic imaging evaluations must detect breast cancer early. Traditional methods are time-consuming and limit pathologists’ skills. …”
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A quantum machine learning framework for predicting drug sensitivity in multiple myeloma using proteomic data by M. Priyadharshini, B. Deevena Raju, A. Faritha Banu, P. Jagdish Kumar, V. Murugesh, Oleg Rybin

“…QSVM employs quantum kernels to map data into a higher-dimensional Hilbert space, so that the model can detect complex patterns in MM drug resistance. qPCA reduces dimensionality without loss of important variance, and thus improves computation efficiency. …”
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Contemporary Business Education: a Solution for Global Leadership Challenges by Tudor Cristian Ţiclău

“…The contemporary economic and social environment poses numerous and complex challenges to public leaders, who need to be equipped with the adequate set of skills and competencies in order to have a proper response. …”
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The eSports Management Model in China as a Basis for Promoting the Healthy Lifestyle and National Interests Protection by S. V. Altukhov, V. M. Verevkin

“…The purpose of this study is to analyze the complex structure of government and sports regulation in China’s esports, the professionalization of the young industry, the principles and mechanisms of balancing economic efficiency and sports results. eSports is presented as a symbiosis of the intellectual and physical activities of people. …”
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