Prediction of alkali-silica reaction expansion of concrete using explainable machine learning methods by Yasitha Alahakoon, Hirushan Sajindra, Ashen Krishantha, Janaka Alawatugoda, Imesh U. Ekanayake, Upaka Rathnayake

“…This approach provides insights into the model’s decision-making process, clarifying the complex nature of machine learning algorithms. …”
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Lamotrigine Extraction and Quantification by UPLC-DAD in Plasma from Patients with Bipolar Disorder by Claudia V. Palacios-Magaña, Elba M. Romero-Tejeda, Nicté S. Fajardo-Robledo, Luis J. González-Ortiz, José G González-Mendez, Fermín P. Pacheco-Moisés

“…A sensitive and efficient analytical process for detecting lamotrigine in acidic solution based in ultra-high-performance liquid chromatography-diode array detector (UPLC-DAD) was developed; the stationary phase used was a C8, 150 × 4.6 mm, 2.6 µm. …”
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An adaptive continuous threshold wavelet denoising method for LiDAR echo signal by Dezhi Zheng, Tianchi Qu, Chun Hu, Shijia Lu, Zhongxiang Li, Guanyu Yang, Xiaojun Yang

“…The proposed method significantly enhances the ability of single-photon LiDAR to detect weak signals.…”
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Lightweight CNN-Based Visual Perception Method for Assessing Local Environment Complexity of Unmanned Surface Vehicle by Tulin Li, Xiufeng Zhang, Yingbo Huang, Chunxi Yang

“…Addressing the problem of inadequate environmental detection in the process of optimizing search for unmanned surface vehicles (USVs) by a heuristic algorithm, this paper proposes a comprehensive visual perception method that combines a lightweight convolutional neural network (CNN) with the USV’s real-time heading angle. …”
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Advanced dynamic ensemble framework with explainability driven insights for precision brain tumor classification across datasets by Retinderdeep Singh, Sheifali Gupta, Ashraf Osman Ibrahim, Lubna A. Gabralla, Salil Bharany, Ateeq Ur Rehman, Seada Hussen

“…Abstract Accurate detection of brain tumors remains a significant challenge due to the diversity of tumor types along with human interventions during diagnostic process. …”
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The Talent Cultivation Model of Study Travel Majors in Universities Based on the Internet of Things and Deep Learning by Yanjie Zhan

“…Moreover, the introduction of the sentiment analysis module enables the precise detection of students’ emotional changes during the learning process, achieving an accuracy rate of 0.91. …”
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Relationship between pediatric asthma and respiratory microbiota, intestinal microbiota: a narrative review by Lian Liu, Wenqi Zhao, Han Zhang, Yunxiao Shang, Wanjie Huang, Qi Cheng

“…With the continuous progress of detection technologies, numerous studies have firmly demonstrated that gut microbiota and respiratory microbiota are closely related to the occurrence and development of asthma, and related research is increasing day by day. …”
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THE IMPROVEMENT OF PROFESSIONAL TRAINING ORGANIZATION OF THE X-RAY SCREENING SYSTEMS OPERATORS BY USING THE EYE MOVEMENTS REGISTRATION SYSTEM AND METHODS OF CLUSTER AND DISCRIMINAN... by A. K. Volkov, V. V. Ionov

“…These algorithms in existing computer simulators include feedback mechanisms on the basis of trainability exponents – such as the frequency of detecting dangerous objects, the frequency of false alarms and detection time. …”
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Development of Impact Factors Reverse Analysis Method for Software Complexes’ Support Automation by Andrii Pukach, Vasyl Teslyuk, Nataliia Lysa, Liubomyr Sikora

“…The potential of the developed method allows us to apply it for solving a huge number of applied practical tasks, such as the one provided in the scope of this research, which is as follows: a practical task of the support team members’ portrait determination, followed by a further search (detection) of the interchangeable members of this support team to ensure the possibility of quick transfer of the stack of tickets (which are in the middle of the active resolution process) between these members.…”
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Characterization of Porosity and Copper Infiltration Mechanism in Sintered Steel via Computed Tomography by Pengcheng Lin, Linshan Wang, Shuanghua Liang, Xuebing Liang, Qiang Hu, Limin Wang, Xuanhui Qu

“…This study employs CT non-destructive detection to quantitatively analyze the pore structure of sintered steel and investigate copper infiltration mechanisms. …”
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ARTIFICIAL INTELLIGENCE-BASED EXPERT SYSTEM FOR DIPHTHERIA DIAGNOSIS by Fidelis Jumare Asengi, Valerie Oru Agbo, Josiah James Gana, Matthew Otokpa Aboh, Achara Ibrahim

“…This automated approach enhances diphtheria detection in underdeveloped regions, improving diagnosis and treatment outcomes.…”
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Research on economic crimes involving accountants: classification issues by O.A. Lagovska, I.L. Hrabchuk, A.V. Trofimov

“…This greatly complicates the development of tools for their detection and control. Martial law, frequent changes in legislation and various schemes for the implementation of criminal actions are factors that actualize this problem for Ukraine. …”
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Neuronal population model of globular bushy cells covering unit-to-unit variability. by Go Ashida, Helen T Heinermann, Jutta Kretzberg

“…Bushy cells in the anteroventral cochlear nucleus, which innervate monaural and binaural stations in the superior olivary complex, process and transfer temporal cues relevant for sound localization. …”
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An XAI Approach to Melanoma Diagnosis: Explaining the Output of Convolutional Neural Networks with Feature Injection by Flavia Grignaffini, Enrico De Santis, Fabrizio Frezza, Antonello Rizzi

“…The most explored medical application is cancer detection, for which several CAD systems have been proposed. …”
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Printing ultrathin Quasi-2D Ga2O3 for fast yet highly responsive vertical photodetectors by Qian Li, Ruofan Li, Xueqing Chen, Minghui Guo, Jing Liu, Xianwei Meng

“…This high-performance and low-cost photodetector based on liquid metal printing process provides a successful start for a wide range of applications of Ga2O3 in UV detection. …”
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COMPUTER TOMOGRAPHY IN DIAGNOSIS OF DISEASES AND NEW FORMATIONS OF THE PROSTATE GLAND by D. E. Baikov, E. I. Kalacheva, D. A. Kim, A. E. Ryakhovskiy, L. A. Shingareeva, G. V. Baykova

“…And, in the case of some phase strengthening of the gland tissues the technique, in some cases, allows to trace a malignant neoplastic process. But in general, its differential diagnosis with benign regeneration nodes in the gland tissue is usually difficult and requires further modification.…”
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Influence of floodplains and groundwater dynamics on the present-day climate simulated by the CNRM climate model by B. Decharme, J. Colin

“…The experiments include configuration variations where both groundwater and floodplain processes were activated or deactivated and configurations where each process was individually activated. …”
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Effect and potential mechanism of oncometabolite succinate promotes distant metastasis of colorectal cancer by activating STAT3 by Jiangnan Yu, Hong Yang, Lin Zhang, Suye Ran, Qing Shi, Pailan Peng, Qi Liu, Lingyu Song

“…Abstract To investigate the effect of Oncometabolite succinate on colorectal cancer migration and invasion and to initially explore the underlying mechanism.Succinate acid detection kit detected the succinate content in tissues. …”
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Ensemble learning methods with single and multi-model deep learning approaches for cephalometric landmark annotation by S. Rashmi, S. Srinath, R. Rakshitha, B. V. Poornima

“…The methodology is strategically designed to address the complexities and variations in cephalometric images through a dual learning process: building base learners using end-to-end regression approaches and then constructing a meta-learner that ensembles the output of the base models to obtain collective predictions. …”
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QUANTITATIVE METHOD OF ESTIMATE OF AERODROME BIRDS HAZARD RISK by V. A. Yudkin, M. A. Grabovski

“…One more parameter of aerodrome bird hazard in the assessment process of activity of each bird species is the behavior pattern of birds in aerodrome airspace. …”
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