Integrated application of geophysical methods in the South Caspian basin (based on the Bulla-Deniz oil and gas field) by Г.Дж. Етирмишли, С.Э. Казимова, А.В. Самедзаде

“…The relevance of the work is due to the fact that the studied territory is located in the collision zone of the Eurasian and Arabian lithospheric plates, where complex structures are formed that have a direct impact on fluid migration, trap formation and seismic activity. …”
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A Microphysics Model of Multicomponent Venus' Clouds With a High‐Accuracy Condensation Scheme by H. Karyu, T. Kuroda, A. Mahieux, S. Viscardy, A. Määttänen, N. Terada, S. Robert, A. C. Vandaele, M. Crucifix

“…Abstract Accurate modeling of the Venusian cloud structure remains challenging due to its complex microphysical properties. Condensation primarily determines the cloud particle size distribution within the various cloud layers. …”
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An Analysis of the Spatial Characteristics of Jin Ancestral Temple Based on Space Syntax by Chuanjin Hu, Yuanbo Qi, Chongen Wang

“…From its early single function of worship, it gradually expanded into a complex architectural complex integrating worship, landscape, and belief, reflecting the changes in social, political, and cultural needs in different periods. …”
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Transfer learning-enhanced CNN-GRU-attention model for knee joint torque prediction by Hao Xie, Yingpeng Wang, Tingting Liu, Songhua Yan, Jizhou Zeng, Kuan Zhang

“…However, these methods often struggle to reveal the complex, non-linear relationship between muscle activation and joint motion, particularly with complex or unfamiliar movements. …”
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Performance of Fine-Tuning Techniques for Multilabel Classification of Surface Defects in Reinforced Concrete Bridges by Benyamin Pooraskarparast, Son N. Dang, Vikram Pakrashi, José C. Matos

“…Despite advances in defect detection using convolutional neural networks (CNNs), although challenges such as overlapping defects, complex surface textures, and data imbalance remain difficult, full fine-tuning of deep learning models helps them better adapt to these conditions by updating all the layers for domain-specific learning. …”
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Hydrodynamics of Abyssal Channel Flows by V.Yu. Liapidevskii, N.I. Makarenko, E.G. Morozov, R.Yu. Tarakanov

“…The main attention is devoted to such characteristic features of these flows as splitting of inclined gravity currents, formation of critical layers in the shear flows over the obstacles, and fragmentation of near-field structures formed by the internal stationary waves in the vicinity of complex obstacles.…”
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Study of the Extended Phase Shift Migration for Three-Dimensional MIMO-SAR Imaging in Terahertz Band by Hang Gao, Chao Li, Shiyou Wu, Hebin Geng, Shen Zheng, Xiaodong Qu, Guangyou Fang

“…The 3-D imaging results of different targets and computational complexity were also given to demonstrate the good performance of the proposed algorithm for THz MIMO-SAR imaging.…”
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Hybrid Optimization-Based Sequential Placement of DES in Unbalanced Active Distribution Networks Considering Multi-Scenario Operation by Ruihua Si, Xintong Yan, Wanxun Liu, Ping Zhang, Mengdi Wang, Fengyong Li, Jiajia Yang, Xiangjing Su

“…Specifically, the proposed hierarchical framework for DES placement includes three sequential layers: outer, inter, and inner. In the outer layer, a multi-scenario comprehensive loss sensitivity index (MSCLSI) is first introduced to search for the most effective DES placement location. …”
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Point Cloud Geometry Scalable Coding Using a Resolution and Quality-Conditioned Latents Probability Estimator by Daniele Mari, Andre F. R. Guarda, Nuno M. M. Rodrigues, Simone Milani, Fernando Pereira

“…., the ability to generate a progressive bitstream, containing a base layer followed by multiple enhancement layers, that allow decoding the same bitstream serving multiple reconstructions and visualization specifications. …”
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Detailed Architectural Design of a Multi-Head Self-Attention Model for Lithium-Ion Battery Capacity Forecasting by Juyeon Park, Gyeong Ho Lee, Jangkyum Kim, Yoon-Sik Yoo, Il-Woo Lee

“…Positional encoding is applied to embed sequence order information at the input stage, while residual connections and layer normalization between MHSA layers optimize the learning process. …”
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Efficacy and prognostic factors of anti-VEGF treatment for neovascular age-related macular degeneration: An OCTA imaging-based deep learning analysis by Shengnan Liu, Yuanyuan Liu, Xiaohan Wu, Haochen Wang, Ziqi Jin, Peiru Wang, Jinyu Feng, Song Chen, Wei Zhou

“…A deep learning model, the improved LUNet model was used to analyze OCTA images, focusing on retinal features including foveal avascular zone (FAZ), vessel density (VD), vessel diameter index (VDI), vessel dispersion (Vdisp) of retinal layers(deep vascular complex and deep vascular complex) to assess their relationship with treatment response. …”
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HOF•CH₃CN—The Most Potent Oxygen Transfer Agent for a Large Variety of Organic Molecules by Shlomo Rozen

“…The complex of hypofluorous acid with acetonitrile—HOF•CH₃CN—is the only substance possessing a truly electrophilic oxygen. …”
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Influence analysis of parameters of thermal aging laminated rubber bearing under cyclic shear loads by Junwei Wang, Fuqiang Zhao, Zihan Guo, Yifan Song

“…However, due to the complexity of LRB specifications and sizes, the shear properties of aging LRB under different parameters were studied. …”
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SecFedDNN: A Secure Federated Deep Learning Framework for Edge–Cloud Environments by Roba H. Alamir, Ayman Noor, Hanan Almukhalfi, Reham Almukhlifi, Talal H. Noor

“…Cyber threats that target Internet of Things (IoT) and edge computing environments are growing in scale and complexity, which necessitates the development of security solutions that are both robust and scalable while also protecting privacy. …”
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Fog Service Placement Optimization: A Survey of State-of-the-Art Strategies and Techniques by Hemant Kumar Apat, Veena Goswami, Bibhudatta Sahoo, Rabindra K. Barik, Manob Jyoti Saikia

“…Furthermore, we discuss the complexity analysis of the service placement problem in detail. …”
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Security of End-to-End medical images encryption system using trained deep learning encryption and decryption network by Saba Inam, Shamsa Kanwal, Anousha Anwar, Noor Fatima Mirza, Hessa Alfraihi

“…The intricate neural network architecture of deep learning models adds a layer of complexity and non-linearity to the encryption process, rendering it highly resistant to plaintext attacks. …”
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Symmetrical Modular Optical Phased Array With Combined Spatial and Amplitude Modulation for Scalable Indoor Wireless Networks by Kosala Herath, Malin Premaratne, Sharadhi Gunathilake, Ampalavanapillai Nirmalathas

“…Our results reveal that this approach provides high-level physical layer security (PLS) for wireless communication. …”
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Electrodeposited p‐Cu2O Films – Role of Redox‐Active Compounds Under Photoelectrochemical Operation Revisited by Michael Neumann‐Spallart, Dharini Bhagat, Šárka Paušová, Josef Krýsa, Indrajit Mukhopadhyay

“…Reoxidation of its reduced form by dissolved oxygen was necessary in order to hinder dimerization or further reduction to MV0 and association of the latter to MV0n, producing a whitish layer on top of the electrodes which led to their inactivation.…”
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Visual impairment prevention by early detection of diabetic retinopathy based on stacked auto-encoder by Shagufta Almas, Fazli Wahid, Sikandar Ali, Ahmed Alkhyyat, Kamran Ullah, Jawad Khan, Youngmoon Lee

“…Unlike traditional CNN approaches, our method offers improved reliability by reducing time complexity, minimizing errors, and enhancing noise reduction. …”
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Post-truth politics vs. newspaper coverage: the COVID-19 pandemic and transnational human migration in Canada, the United States and the United Kingdom by Claude Beaupre, Claude Beaupre

“…The COVID-19 pandemic added a new layer of complexity, biologically securitizing mobility at a time when migration was already framed by xenophobia and securitization in the Western world. …”
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