Methodology for diagnosing the technical condition of aviation gas turbine engines using recurrent neural networks (RNN) and long short-term memory networks (LSTM) by O. F. Mashoshin, H. Huseynov, A. S. Zasukhin

“…The RNN and LSTM models were trained using the backpropagation through time (BPTT) algorithm to accurately forecast GTE operating parameters. …”
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Deep-learning model for embryo selection using time-lapse imaging of matched high-quality embryos by Lisa Boucret, Floris Chabrun, Magalie Boguenet, Pascal Reynier, Pierre-Emmanuel Bouet, Pascale May-Panloup

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An Integrated Framework for Supplementing Online Water Quality Monitoring in the Detection of Contamination Events in Water Distribution Networks by Camilo Salcedo, Dominic L. Boccelli

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Application of a Fiber Optic-Based SHM System to a Composite Aircraft Wing and Its Technological Maturity Evaluation by Gianvito Apuleo, Monica Ciminello, Lorenzo Pellone, Umberto Mercurio, Antonio Concilio

“…Specifically, an original SHM architecture is herein presented, based on the use of distributed optical fibers, and implementing a proprietary algorithm, to detect bonding lines damage. Ground testing with a full-scale wing box successfully validated the system’s capability to identify damage. …”
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Optimizing energy storage and return of prosthetic feet: A biomechanical approach using advanced optimization techniques by Aphiwat Saemua, Supakit Rooppakhun

“…This study introduces a novel design framework that combines Latin Hypercube Sampling (LHS), Kriging, and a Multi-Objective Genetic Algorithm (MOGA) to optimize weight, stiffness, and energy return. …”
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Role of two isothermal cylinders towards three-dimensional flow and melting of phase-change materials by Sameh E. Ahmed, Zahra S. Hafed, M.A. Mansour, Eman F. Mohamed, M.A.Y. Bakier

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HIV‐1 testing in the context of expanding PrEP modalities by Urvi M. Parikh, Jana L. Jacobs, Njambi Njuguna, Kristine Torjesen, John W. Mellors

“…Current best practices indicate the use of rapid diagnostic tests or self‐testing as recommended by national testing algorithms and the World Health Organization (WHO). …”
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Automated image acquisition system for visual inspection with positioning error correction by Toma TANIGUCHI, Hidenori NAKATSUJI, Isamu NISHIDA

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Seismic Random Noise Suppression Using Optimal ANFIS as an Adaptive Self-Tuning Filter and Wavelet Thresholding by K. Geetha, Malaya Kumar Hota

“…Numerous attenuation algorithms have been developed to separate and remove the random noise; nevertheless, they have failed to attain high precision. …”
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Testing the reliability of global surface temperature reconstructions of the Last Glacial Cycle with pseudo-proxy experiments by J.-P. Baudouin, N. Weitzel, M. May, L. Jonkers, A. M. Dolman, K. Rehfeld, K. Rehfeld

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Heuristic Optimization-Assisted Dilated Convolution Neural Network With Gated Recurrent Unit for Channel Estimation in NOMA-OFDM System by Vijayakumar Kondepogu, Budhaditya Bhattacharyya

“…However, inadequate Successive Interference Cancellation (SIC) may have an impact on NOMA effectiveness. To help with channel estimates and signal identification in NOMA structures, deep learning approaches were developed. …”
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Unlocking the Potential of Remanufacturing Through Machine Learning and Data-Driven Models—A Survey by Yong Han Kim, Wei Ye, Ritbik Kumar, Finn Bail, Julia Dvorak, Yanchao Tan, Marvin Carl May, Qing Chang, Ragu Athinarayanan, Gisela Lanza, John W. Sutherland, Xingyu Li, Chandra Nath

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Succinct Link Transformation-Based Overlapping Community Detection Framework for Social Network Analysis by Seungwoo Ryu, Sungsu Lim, Seungsoo Yoo, Sun Yong Kim

“…Detecting communities in real-world networks is a challenging and important problem. Numerous algorithms have been proposed in recent years, and significant progress has been made. …”
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Advanced Machine Learning Methodology for Earthquake Magnitude Forecasting Using Comprehensive Seismic Data by Subhieh El-Salhi, Bashar Igried, Sari Awwad

“…These results demonstrate the potential of ensemble techniques for accurate and reliable earthquake magnitude forecasting, which may contribute significantly to disaster preparedness and risk mitigation.…”
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Smart Contracts and International Trade: European Legal Strategies for Managing Challenges by Th. D. Lamappulage Donn

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Anthropogenic and natural influence on vegetation ecosystems from 1982 to 2023 by Teligeer Bao, Huaqiang Li, Yonghong Hao, Matthew Tom Harrison, Ke Liu, Gulnazar Ali

“…Here, we used 12 machine learning algorithms to perform pixel correction on 42 years of moderate resolution imaging spectroradiometer normalized difference vegetation index (NDVI) and GIMMS NDVI data. …”
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Near real-time monitoring of carbon effects from continuous forest change in rapidly urbanizing region of China from 2000 to 2020 by Dou Zhang, Xiaojing Tang, Shuaizhi Lu, Xiaolei Geng, Zhaowu Yu, Yujing Xie, Si Peng, Xiangrong Wang

“…The asymmetric carbon effect suggests that forest cover change may act as a carbon source even with net-zero or net-positive forest cover change. …”
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A novel method to determine background concentrations and spatial distributions of heavy metals in soil at large scale using machine learning coupled with remote sensing-terrain at... by Magboul M. Sulieman, Fuat Kaya, Abdullah S. Al-Farraj, Eric C. Brevik

“…Their harmful effects can extend to surrounding systems (air, plants, water), and given the appropriate conditions may ultimately have negative effects on human health. …”
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Fuzzy Optimized Attention Network with Multi-Instance Deep Learning (FOAN-MIDL) for Alzheimer’s Disease Diagnosis with Structural Magnetic Resonance Imaging (sMRI) by Afnan M. Alhassan, Nouf I. Altmami

“…Although no curative treatment exists, pharmacological therapies like cholinesterase inhibitors and NMDA receptor antagonists may deliver symptomatic relief and modestly delay disease progression. …”
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LEUKEMIA INCIDENCE AND MORTALITY OF RECOVERY OPERATION WORKERS OF THE CHERNOBYL ACCIDENT: ASSESSMENT OF RADIATION RISKS FOR THE FOLLOW-UP PERIOD OF 1986–2014 by V. K. Ivanov, V. V. Kashcheev, S. V. Karpenko, S. E. Glebova, K. A. Tumanov, S. Yu. Chekin, M. A. Maksyutov, A. M. Korelo, S. S. Lovachev, S. A. Ivanov, A. D. Kaprin

“…Collection and verification of data of hemoblastoses cases among persons exposed to radiation exposure was carried out according to a specially developed algorithm. The average dose of the liquidators was 108 mGy. …”
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