Multiscale Evaluation System for Cold Patch Asphalt Mixtures: Integrating Macro-Performance Tests and Meso-Structural CT Analysis by Wenbin Xie, Li Li, Runzhi Yang

“…The CT-based meso-structural assessment quantifies void characteristics (longitudinal distribution, radial distribution, fractal dimension) and aggregate skeleton features (contact points, coordination number) through 3D reconstruction. …”
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Systematic Review of Image Segmentation Programs in Craniomaxillofacial Surgery by Khawla Rasheed, Auns Al-Neami, Haider Abbas

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Characterization of Pulmonary Sclerosing Pneumocytoma Assessed by 18F‐FDG PET/CT by Jie Xu, Xing Wan, Shudan Zhai, Shuai Yuan, Songyi Li, Wengui Xu, Mengran Fan, Lei Zhu

“…We found that the maximum diameter of the tumor is associated with an increase in FDG uptake in PSP, reflecting a potential correlation between lesion diameter and PET metabolic parameters, indicating a link between structural features and metabolic activity.…”
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Motor imagery EEG signal classification using novel deep learning algorithm by Sathish Mathiyazhagan, M. S. Geetha Devasena

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Elucidating thermal phenomena of non-Newtonian experimental data based copper-alumina-ethylene glycol hybrid nanofluid in a cubic enclosure with central heated plate by machine lea... by Md. Mamun Molla, Md Farhad Hasan, Md. Mahadul Islam

“…The simulation was conducted through parallel computing techniques based on the Compute Unified Device Architecture (CUDA) C++ programming facilitated by NVIDIA GPU. …”
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Software with artificial intelligence-derived algorithms for detecting and analysing lung nodules in CT scans: systematic review and economic evaluation by Julia Geppert, Peter Auguste, Asra Asgharzadeh, Hesam Ghiasvand, Mubarak Patel, Anna Brown, Surangi Jayakody, Emma Helm, Dan Todkill, Jason Madan, Chris Stinton, Daniel Gallacher, Sian Taylor-Phillips, Yen-Fu Chen

“…Artificial intelligence-based software has been developed to reduce the number of missed or misdiagnosed lung nodules on computed tomography images. Objective  To assess the accuracy, clinical effectiveness and cost-effectiveness of using  software with artificial intelligence-derived algorithms to assist in the detection and analysis of lung nodules in computed tomography scans of the chest compared with unassisted reading. …”
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TRACTOR GEARBOX: RESEARCH OF SHIFTING GEARS’ PROCESSES by N. N. Demidov, A. A. Krasilnikov, S. I. Hoodorozhkov

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Tiny-MobileNet-SE: A Hybrid Lightweight CNN Architecture for Resource-Constrained IoT Devices by Jean Pierre Nyakuri, Celestin Nkundineza, Omar Gatera, Kizito Nkurikiyeyezu

“…This architecture integrates Squeeze-and-Excitation (SE) blocks for adaptive feature recalibration, Batch Normalization (BN) for accelerated convergence, and applies knowledge distillation techniques from MobileNetV2 for enhanced feature generalization. …”
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A Deep Neural Network Framework for Dynamic Two-Handed Indian Sign Language Recognition in Hearing and Speech-Impaired Communities by Vaidhya Govindharajalu Kaliyaperumal, Paavai Anand Gopalan

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Constrained Federated Learning for AoI-Limited SFC in UAV-Aided MEC for Smart Agriculture by Mohammad Akbari, Aisha Syed, W. Sean Kennedy, Melike Erol-Kantarci

“…Many IoT devices can be deployed for precision farming, soil management, automated irritation, information gathering, or performing some local processing to provide various services. Due to the computational capacity limitation of IoT devices and their limited power, UAV-aided mobile-edge computing (MEC) is proposed to provide IoT nodes with additional resources by hosting their computation functions and making smart agriculture use cases more operational. …”
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On the Issue of Practical Orientation of Teaching Students of Technical Universities the Basics of Descriptive Geometry by L. G. Polyakov, T. D. Polyakova

“…The lecturer places examples of calculation and graphic works’ implementation in the electronic educational environment, features of formation of initial skills for drawing and reading machine-building drawings, and students upload their decisions to the page of the corresponding course in stages or the work performed as a whole.Conclusion. …”
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Mathematical modeling of donor liver cooling during hypothermic perfusion by A. V. Bukharov, A. F. Ginevsky, I. S. Seregin, B. I. Yaremin, E. Yu. Anosova, B. I. Kazymov, M. S. Novruzbekov

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A Lightweight Model Enhancing Facial Expression Recognition with Spatial Bias and Cosine-Harmony Loss by Xuefeng Chen, Liangyu Huang

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Scalable Clustering of Complex ECG Health Data: Big Data Clustering Analysis with UMAP and HDBSCAN by Vladislav Kaverinskiy, Illya Chaikovsky, Anton Mnevets, Tatiana Ryzhenko, Mykhailo Bocharov, Kyrylo Malakhov

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Deep Multi-Component Neural Network Architecture by Chafik Boulealam, Hajar Filali, Jamal Riffi, Adnane Mohamed Mahraz, Hamid Tairi

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Detection of Fiber-Flaw on Pill Surface Based on Lightweight Network SA-MGhost-DVGG by Jipei Lou, Hongyi Wang, Haodong Liang, Ziwei Wu

“…The proposed network integrates an MGhost module for reducing parameters and computational load, a mixed-channel spatial attention (SA) module to refine features specific to fiber regions, and depthwise separable convolutions (DepSepConv) for efficient dimensionality reduction while preserving feature information. …”
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Test-Time Training with Adaptive Memory for Traffic Accident Severity Prediction by Duo Peng, Weiqi Yan

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Internet of Things-Driven Precision in Fish Farming: A Deep Dive into Automated Temperature, Oxygen, and pH Regulation by Md. Naymul Islam Nayoun, Syed Akhter Hossain, Karim Mohammed Rezaul, Kazy Noor e Alam Siddiquee, Md. Shabiul Islam, Tajnuva Jannat

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Operational Robustness of Amino Acid Recognition via Transverse Tunnelling Current Across Metallic Graphene Nano-Ribbon Electrodes: The Pro-Ser Case by Giuseppe Zollo

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A Secure Cooperative Adaptive Cruise Control Design with Unknown Leader Dynamics Under False Data Injection Attacks by Parisa Ansari Bonab, Arman Sargolzaei

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