Analysis of the ion mobility spectra of chloroacetophenone, tris(2-chloroethyl)amine, and methanethiol by D. A. Aleksandrova, T. B. Melamed, E. P. Baberkina, E. S. Osinova, L. A. Luzenina, A. A. Kaplin, R. V. Yakushin, A. E. Kovalenko, G. V. Tsaplin, Yu. B. Sinkevich, A. A. Fenin, J. R. Shaltaeva, V. V. Belyakov, A. O. Shablya, A. G. Sazonov

“…The generalized results of experimental studies were presented, as were the features of compound identification taking into account the structure of the spectra, the concentrations of substances, and the detection conditions.Conclusions. …”
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Multi‐Annual Inventorying of Retrogressive Thaw Slumps Using Domain Adaptation by Yiling Lin, Xie Hu, Haoyu Lu, Fujun Niu, Gengnian Liu, Lingcao Huang, Shanghang Zhang, Jifu Liu, Yunhuai Liu

“…However, visual interpretation is labor‐intensive while the present‐day deep learning methods become ineffective when the model trained in one year is directly transferred to another. …”
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Improvement of the "Slowness-Time Coherence" Method of Processing Borehole Acoustic Data Arrays by Sergii Lavreniuk, Yevhen Nazarenko, Daria Tulchynska, Petro Tulchynskyi

“…The use of the improved STC algorithm provides better automatic data processing compared to the basic STC algorithm.…”
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Stand-alone MRI tool for semiautomatic volumetry of abdominal adipose compartments in patients with obesity by A. Linder, T. Eggebrecht, N. Linder, R. Stange, A. Schaudinn, M. Blüher, T. Denecke, Harald Busse

“…The new tool (segfatMR) was developed under a Matlab-based, open-source software framework and combines fast automatic pre-segmentation followed by manual (expert) corrections where needed. …”
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Monitoring and benchmarking Earth system model simulations with ESMValTool v2.12.0 by A. Lauer, L. Bock, B. Hassler, P. Jöckel, L. Ruhe, M. Schlund

“…<p>Earth system models (ESMs) are important tools to improve our understanding of present-day climate and to project climate change under different plausible future scenarios. …”
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Primed to vocalize: Wild-derived male house mice increase vocalization rate and diversity after a previous encounter with a female. by Sarah M Zala, Doris Nicolakis, Maria Adelaide Marconi, Anton Noll, Thomas Ruf, Peter Balazs, Dustin J Penn

“…We automatically detected USVs and processed recordings using the Automatic Mouse Ultrasound Detector (A-MUD version 3.2), and we describe our improved version of this tool and tests of its performance. …”
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A Deep Learning Approach for Fault Detection and Localization in MT-VSC-HVDC System Utilizing Wavelet Scattering Transform by Manohar Mishra, Debadatta Amaresh Gadanayak, Abha Pragati, Jai Govind Singh

“…This study presents a novel algorithm for automatic fault detection in multi-terminal voltage source converter-based high voltage direct current (MT-VSCHVDC) systems. …”
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Aprendiendo a faltar. El absentismo en la carrera moral del estudiantado de ciencias sociales by Carlos Alonso Carmona, Enrique Martín Criado, Juan Castillo Rojas-Marcos

“…The first is characterised by automatic attendance, idealisation of the university and the illegitimacy of absentee behaviour. …”
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Telehealth for patients with interstitial lung diseases (ILD): results of an international survey of clinicians by John R Hurst, Joanna Porter, Anne-Marie Russell, Jaber S Alqahtani, Malik Althobiani

“…Data are presented as percentages of respondents.Results A total of 207 clinicians from 23 countries participated in the survey. …”
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Large-scale inventory in natural forests with mobile LiDAR point clouds by Jinyuan Shao, Yi-Chun Lin, Cameron Wingren, Sang-Yeop Shin, William Fei, Joshua Carpenter, Ayman Habib, Songlin Fei

“…Our research provides and automatic and scalable solution for large-scale natural forest inventory at individual tree level, which can be the basis for large-scale estimation of wood volume and biomass.…”
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Terms of use of judicial acts for machine learning (analysis of some judicial decisions on the protection of property rights) by E. I. Alekseevskaya

“…The main results, scope of application. The article presents an analysis of the changes in the Russian procedural law and in the regulation of the national judicial system in the recent years, which form new trends in judicial practice, according to the latest cases for the protection of private property in the courts. …”
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The use of artificial intelligence in the diagnosis of oral carcinoma by Francesco Gianfreda, Andrea Danieli, Maria Scarpati Cioffari di Castiglione, Marco Gargari, Patrizio Bollero, Mirko Martelli

“…Conclusions: Incorporating AI in diagnosing and managing oral lesions presents significant opportunities for improving clinical outcomes with high accuracy and speed. …”
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Driving Pattern Analysis, Gear Shift Classification, and Fuel Efficiency in Light-Duty Vehicles: A Machine Learning Approach Using GPS and OBD II PID Signals by Juan José Molina-Campoverde, Juan Zurita-Jara, Paúl Molina-Campoverde

“…This study proposes an automatic gear shift classification algorithm in M1 category vehicles using data acquired through the onboard diagnostic system (OBD II) and GPS. …”
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Movement and Dispersion Parameters Characterizing the Group Behavior of <i>Drosophila melanogaster</i> in Micro-Areas of an Observation Arena by Nam Jung, Chunlei Xia, Yong-Hyeok Jang, Hye-Won Kim, Yun Doo Chung, Tae-Soo Chon

“…In the present study, groups of 10 adult males from wild-type strain <i>Drosophila melanogaster</i> Canton-S and corresponding mutant <i>tab2^201Y</i> were continuously observed using automatic digitization. …”
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CULTUROLOGICAL APPROACH AS METHODOLOGICAL BASIS OF MATHEMATICAL EDUCATION by Ye. A. Perminov

“…The theoretical scientific methods of the present article involve analysis and synthesis of the content of philosophical, mathematical, pedagogical, methodological literature and normative documents; comparative, culturological and logical types of analysis of mathematical education; systematic, competence-based, practice-oriented and personal-activity metho-dological approaches were used to understand the concept of mathematical education.Results and scientific novelty. …”
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An intelligent framework for skin cancer detection and classification using fusion of Squeeze-Excitation-DenseNet with Metaheuristic-driven ensemble deep learning models by J. D. Dorathi Jayaseeli, J Briskilal, C. Fancy, V. Vaitheeshwaran, R. S. M. Lakshmi Patibandla, Khasim Syed, Anil Kumar Swain

“…This model can assist dermatologists in the initial recognition of skin cancer, which is significant for early diagnosis. An automatic classification model utilizing deep learning (DL) can help doctors perceive the kind of skin lesion and improve the patient’s health. …”
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IMPACT OF PREOPERATIVE STAGING OF PROSTATIC CANCER ON POSITIVE SURGICAL MARGIN INCIDENCE FOLLOWING RADICAL PROSTATECTOMY by V. L. Medvedev, V. V. Lysenko, L. G. Rosha, A. V. Medvedev, I. V. Mikhailov, A. I. Strelyaev, O. N. Ponkina

“…Both biopsy and operative materials were exposed to preservation in 10% buffering solution of formalin, and after automatic conducting was painted by hematoxylin-eozinom. …”
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Deep learning-based accurate detection of insects and damage in cruciferous crops using YOLOv5 by Sourav Chakrabarty, Pathour Rajendra Shashank, Chandan Kumar Deb, Md. Ashraful Haque, Pradyuman Thakur, Deeba Kamil, Sudeep Marwaha, Mukesh Kumar Dhillon

“…With the rapid development of convolutional neural networks, automatic detection techniques for identifying insects using digital images have shown impressive performances in agriculture. …”
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Vowel classification with combining pitch detection and one‐dimensional convolutional neural network based classifier for gender identification by Chia‐Hung Lin, Hsiang‐Yueh Lai, Ping‐Tzan Huang, Pi‐Yun Chen, Chien‐Ming Li

“…Hence, an IVR‐based system dictates that ASR should function through users' voices (specific voice‐frequency bands) to identify customers' age and gender and interact with a host system. In the present study, we intended to combine a pitch detection (PD)‐based extractor and a voice classifier for gender identification. …”
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Economic Analysis of Renewable Energy Generation from a Multi-Energy Installation in a Single-Family House by Jakub Stolarski, Ewelina Olba-Zięty, Mariusz Jerzy Stolarski

“…Profitability metrics such as net present value, internal rate of return and discounted payback period were used for the assessment. …”
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