An Automated Feature-Based Image Registration Strategy for Tool Condition Monitoring in CNC Machine Applications by Eden Lazar, Kristin S. Bennett, Andres Hurtado Carreon, Stephen C. Veldhuis

“…However, conventional MV-TCM edge detection strategies process each image independently to infer edge positions, rendering them susceptible to inaccuracies when tool edges are compromised by material adhesion or chipping, resulting in imprecise wear measurements. …”
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Quantized Convolutional Neural Networks Robustness under Perturbation [version 1; peer review: 2 approved] by Guy Kember, Issam Hammad, Jack Langille

“…This process introduces significant reductions in inference time and simplifies the hardware requirements. …”
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Improving brain tumor classification: An approach integrating pre-trained CNN models and machine learning algorithms by Mohamed R. Shoaib, Jun Zhao, Heba M. Emara, Ahmed S. Mubarak, Osama A. Omer, Fathi E. Abd El-Samie, Hamada Esmaiel

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Factorial-experimental investigation of LPBF regimes for VZh159 nickel superalloy grain structure and structural strength optimization by Rustam R. Kyarimov, Eugene S. Statnik, Eugene S. Statnik, Iuliia A. Sadykova, Alexander A. Frantsuzov, Alexey I. Salimon, Alexey I. Salimon, Alexander M. Korsunsky, Alexander M. Korsunsky, Alexander M. Korsunsky

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Effects of aging and light-curing unit type on the volume and internal porosity of bulk-fill resin composite restoration by Afnan O. Al-Zain, Elaf A. Alboloshi, Walaa A. Amir, Maryam A. Alghilan, Eliseu A. Münchow

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Thermal Analysis of Outer Rotor BLDC Motor for Drone Considering Airflow Ventilation Cooling by Jaebeom Kang, Jiheon Lee, Hyeong-Jin Kim, Thanh-Tuan Nguyen, Jiyoung Lee, Yi-Hwa Song, Sung-Joo Yoo

“…Computational Fluid Dynamics (CFD) can analyze flow and heat transfer phenomena with high resolution but involves high computational cost, making it impractical for iterative design processes. …”
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Wind Turbine Enhancement via Active Flow Control Implementation by Marc Lahoz, Ahmad Nabhani, Mohammad Saemian, Josep M. Bergada

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Value Chain Modeling in Digital Strategic Management by I. M. Stepnov, Yu. A. Kovalchuk

“…The analysis of existing approaches reveals the following unsolved problems: frst, the absence of direct interconnection between the expenses on digitalization and the results received with the use of digital platforms, and second, information is not singled out as a separate expense category in cost accounting, management and control regardless of the considerable percentage increase of an enterprise expenses on cloud computing service and technology. The authors model the newly created value in digital environment by a) defning a service (not fnished goods) as an integrating element which is typical of digital economy; b) singling out the variants of market cooperation with the use of platforms on the basis of traditional contracts, agreements “by default”, registered users of the platforms, smart contracts; c) choosing basic parameters — investments in the capital which is aggregated by the process and the costs of operating activity participants (by technological limits) supplemented by semi fixed costs; d) using the concept of limits to represent operating activity which is sensitive to special features and proportions among separate stages of a technological process and introducing two information limits (“Data collection, storage and processing” and “Digital representation and market design”) which resulted in creation of the information and communication costs accounting object. …”
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Construction of water injection seepage model for coal body and microscopic dominant influence law by Enmao WANG, Gang WANG, Shuliang XIE, Hongzhao WEI, Jing FENG, Handan LIANG

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Explainable Deep Learning for COVID-19 Vaccine Sentiment in Arabic Tweets Using Multi-Self-Attention BiLSTM with XLNet by Asmaa Hashem Sweidan, Nashwa El-Bendary, Shereen A. Taie, Amira M. Idrees, Esraa Elhariri

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DeB3RTa: A Transformer-Based Model for the Portuguese Financial Domain by Higo Pires, Leonardo Paucar, Joao Paulo Carvalho

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PSOOptimizedFast Segmentation Algorithm for 3D Otsu Forest Canopy Image by ZHU Liang-kuan, SHAO Si-xie, JING Wei-peng, LIU Liang

“…Forest canopy image segmentation is a key step to forest canopy parameters using digital image processing methods According to the characteristics of forest canopy fisheye images with complex background and high resolution, this paper proposed a PSOoptimized forest canopy image decomposition Otsu method 3D segmentation algorithm In this method, the 3D OTSU was decomposed, which reduced the computing time and storage space, and the PSO algorithm was adopted to optimize the twodimensional Otsu to obtain the threshold process Experimental results showed that the algorithm proposed in this paper can quickly and accurately segment the fisheye images of forest canopy, especially in the details of treetops The proposed method can provide a technical support for forest canopy parameters measurement…”
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CQL-GNN: Coupled question-label graph neural networks for multi-label educational question classification by Liwei Gao, Luojia Wang

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Beyond Classical AI: Detecting Fake News with Hybrid Quantum Neural Networks by Volkan Altıntaş

“…The model integrates classical fully connected neural layers with a parameterized quantum circuit, enabling the processing of textual data within both classical and quantum computational domains. …”
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Preprocessing of Aspect-based English Telugu Code Mixed Sentiment Analysis by Arun Kodirekka, Ayyagari Srinagesh

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Security, QoS and energy aware optimization of cloud-edge data centers using game theory and homomorphic encryption: Modeling and formal verification by Mbarek Marwan, Abdelkarim Ait Temghart, Said Ouhmi, Mohamed Lazaar

“…Privacy and efficient data processing are crucial research areas in the field of outsourcing computing. …”
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Group feature calibration for sound event detection by Yanzhen Ren, Wuyang Liu, Chenyu Liu, Tingting Zhu

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Encryption of sensor data using the Lorentz attractor in embedded systems by Akbota Kulzhanova, Sholpan Jomartova, Talgat Mazakov

“…The algorithm has demonstrated efficiency in processing text arrays and sensory data, making it suitable for use in smart cities, medical devices, and industrial networks. …”
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MSRP-TODNet: a multi-scale reinforced region wise analyser for tiny object detection by Thulasi Bikku, K. P. N. V. Satya Sree, Srinivasarao Thota, Malligunta Kiran Kumar, P. Shanmugasundaram

“…These are processed by the Enhanced Feature Pyramid Network (EFPN), which merges them into a single feature map. …”
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Analysis of argument structure constructions in a deep recurrent language model by Pegah Ramezani, Pegah Ramezani, Achim Schilling, Achim Schilling, Patrick Krauss, Patrick Krauss

“…Understanding how language and linguistic constructions are processed in the brain is a fundamental question in cognitive computational neuroscience. …”
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