ANALYTICAL MODEL OF DAMAGED AIRCRAFT SKIN BONDED REPAIRS ASSUMING THE MATERIAL PROPERTIES DEGRADATION by A. A. Fedotov, A. V. Tsipenko

“…The variant of the computational complex based on inclusion method is proposed.For calculation purposes the repair bonded joint is divided into two areas: a metal plate with patch-shaped hole and a "patch-adhesive layer-skin" composite plate (inclusion).Calculation stages:Evaluation of the patch influence to the skin stress-strain condition, stress distribution between skin and patch in the case of no damage. …”
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Non-destructive assessment of hemp seed vigor using machine learning and deep learning models with hyperspectral imaging by Damrongvudhi Onwimol, Pongsan Chakranon, Kris Wonggasem, Papis Wongchaisuwat

“…To simplify the analysis and reduce computational complexity, a subset of key spectral wavelengths was selected using a successive projection algorithm. …”
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An Ensemble Learning Based Intrusion Detection Model for Industrial IoT Security by Mouaad Mohy-Eddine, Azidine Guezzaz, Said Benkirane, Mourade Azrour, Yousef Farhaoui

“…The Random Forest (RF) classifier is implemented to enhance IDS performances. For evaluation, we use the Bot-IoT and NF-UNSW-NB15-v2 datasets. …”
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Primary pancreatic lymphoma camouflaged under the umbrella of spectrum of neuroendocrine tumors in somatostatin receptor imaging by Nikita Sampathirao, M Indirani, S Shelley

“…Noteworthy is the fact, that IHC plays a poignant role in the evaluation and is a mandatory tool for the management of tumors. …”
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Diagnosis, clinical management, and emerging strategies for coronary artery disease in patients with cancer by Nicole Charbel, Karl Aramouni, Sam Sater, Firas Kreidieh

“…Early identification of CAD remains challenging due to overlapping symptoms; thus, cardiovascular imaging modalities such as echocardiography, coronary computed tomography angiography, and cardiac magnetic resonance imaging, alongside cardiac biomarkers, are essential for accurate detection and risk stratification.Screening strategies emphasize baseline cardiovascular risk evaluation and long-term surveillance, particularly for cancer survivors exposed to cardiotoxic therapies. …”
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Combining handcrafted and learned features using deep learning to improve protein-protein interaction prediction performance by Tran Hoai Nhan, Nguyen Phuc Xuan Quynh, Le Anh Phuong

“…In our method, the handcrafted features are computed by sequence descriptors, including Amino Acid Composition (AAC), Local Descriptors, Pseudo-AAC, Amphiphilic Pseudo-AAC, and Quasi-Sequence-Order. …”
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Raw Camera Data Object Detectors: An Optimisation for Automotive Video Processing and Transmission by Pak Hung Chan, Chuheng Wei, Anthony Huggett, Valentina Donzella

“…This conversion to RGB requires computational resource, time, power, and increases by a factor of three the amount of output data. …”
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Comparison of Eddy Current Loss Calculation Techniques for Axial Flux Motors with Printed Circuit Board Windings by Andreas Bauer, Daniel Dieterich, Sven Urschel

“…A recommendation is provided for the method that offers the best balance between accuracy and computation time for the early-stage design of slotless axial flux machines.…”
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Medical VR Simulator for Pediatric Strabismus Treatment by Artem Obukhov, Elena Kutimova, Julia Matrosova, Daniil Teselkin, Maxim Shilcin

“…The aim of this study is to develop and evaluate the effectiveness of a virtual reality medical simulator for the treatment of pediatric strabismus. …”
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Comprehensive Review of Robotics Operating System-Based Reinforcement Learning in Robotics by Mohammed Aljamal, Sarosh Patel, Ausif Mahmood

“…Common challenges in the area of robotics include issues such as sensor modeling, dynamic operating environments, and limited on-broad computational resources. To improve decision making, robots need a dependable framework to facilitate communication between different modules and the optimal action for real-world applications. …”
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Unknown power quality disturbances classification based on transfer learning approach with imbalanced data considerations by Mohammad Mosayebi, Sasan Azad, Mohammad Taghi Ameli

“…TL is employed to facilitate these updates with a small dataset of unknown samples, significantly reducing the computational burden for online classification. Evaluation results confirm the effectiveness of the proposed approach in PQDs classification.…”
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Optimised hybrid deep learning classification model for kidney stone diagnosis by Y Jini Jacob, Bethanney Janney J, Hemalatha RJ, Preethi S

“…Finally, the proposed evaluation metrics like precision, recall, accuracy, and F1 score are evaluated and compared with the traditional models to prove their efficient performances. …”
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YOLOv8n-CSD: A Lightweight Detection Method for Nectarines in Complex Environments by Guohai Zhang, Xiaohui Yang, Danyang Lv, Yuqian Zhao, Peng Liu

“…Finally, to realize real-time detection of nectarine fruits, the DySample Lightweight Dynamic Upsampling Module is introduced to save computational resources while effectively enhancing the model’s anti-interference ability. …”
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Multi-fidelity modelling of a high bypass ratio turbofan engine with variable area nozzle by Andrea Magrini, Ernesto Benini

“…A preliminary acoustic evaluation based on semi-empirical noise models indicates a modest effect on noise emissions, with up to 1 dB reduction in microphone signature at the sideline for a nozzle area increased by 10%.…”
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Enhanced water saturation estimation in hydrocarbon reservoirs using machine learning by Ali Akbari, Ali Ranjbar, Yousef Kazemzadeh, Dmitriy A. Martyushev

“…These results demonstrate that ML—particularly SVM—offers a robust and accurate alternative for Sw estimation, supporting more effective reservoir evaluation and oil recovery optimization.…”
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Impacts of a Garbage Disposal Facility on the Water Quality of Çavuşlu Stream in Giresun, Turkey: A Health Risk Assessment Study by a Validated ICP-MS Assay by Bayram Yüksel, Fikret Ustaoğlu, Enes Arıca

“…Once water quality index (WQI), heavy metal pollution index (HPI), and heavy metal evaluation index (HEI) were computed, the health risk assessment was studied according to the US EPA’s method. …”
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Path Planning of Underground Robots via Improved A* and Dynamic Window Approach by Jianlong Dai, Yinghao Chai, Peiyin Xiong

“…Experimental results demonstrate that the proposed method significantly reduces node expansions by 43.79%, computation time by 16.28%, and path inflection points by 80.70%. …”
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One-year Success Story—Rare Tillaux–Chaput Fracture Treated with Distal Radius T-plate Fixation: A Case Report by Elangovan Srinivas, Thirupathy V Raja

“…Conclusion: Tillaux–Chaput fractures in adults require careful evaluation and advanced imaging for accurate diagnosis. …”
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The optimization of low Earth orbit satellite constellation visibility with genetic algorithm for improved navigation potential by Chao Qin, Yanbin Gao, Yihuan Wang

“…The framework introduced three key innovations: (1) an adaptive parameter adjustment mechanism guided by population diversity entropy, (2) a parallel fitness evaluation strategy optimized for multi-core architectures, and (3) a simplified yet structured fitness function design. …”
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Enhancing Undrained Shear Strength Prediction through Innovative Hybridization Techniques by Chisom Samuel, Damilare Adewunmi

“…Ensuring precise evaluation of undrained shear strength (USS) in soft, sensitive clays is critical in geotechnical engineering. precision in predicting USS holds utmost significance in safeguarding the structural soundness and steadiness of foundations and earthworks. …”
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