“We Grind Each Other as Stones and Get Rid of Sharp Edges”: Young People’s Reported Positive Change, Learnings, and Growth Through Romantic Relationships by Nikola Kallová

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Humanización del aprendizaje en la era de la información: una arista andragógica / Humanization of the learning at the information age: an edge from the andragogy by José Laurian Ramírez Díaz

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THERMOCHRONOLOGY OF MINGLING DYKES IN WEST SANGILEN (SOUTH‐EAST TUVA, RUSSIA): EVIDENCE OF THE COLLAPSE OF THE COLLISIONAL SYSTEM IN THE NORTH‐WESTERN EDGE OF THE TUVA‐MONGOLIA MAS... by A. G. Vladimirov, I. V. Karmysheva, V. A. Yakovlev, A. V. Travin, A. A. Tsygankov, G. N. Burmakina

“…According to the geological and thermochronological data, the mingling dykes on the Tavit‐Dag site were moved from the deep crust (~27 km) to a more shallow level (10 km) at a rate of about 0.5 km per 1.0 Ma. This process lasted for about 32 Ma, and the temperature was decreasing by 18.6 °С per 1.0 Ma.…”
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PROSPECT-DP: A coupled leaf optical properties model for improving leaf spectra simulation in the red-edge domain by excluding the ChlF effect by Shanshan Du, Dianrun Zhao, LinLin Guan, Mengjia Qi, Xinjie Liu, Liangyun Liu

“…A new leaf spectra dataset without ChlF contributions, including reflectance and transmittance data for 849 leaves, was first measured and replace the existing leaf spectra datasets in the modelling process. A coupled leaf optical properties model (PROSPECT-DP) was then established, in which a principal component analysis (PCA) approach was employed to model leaf spectra in red-edge domain using the spectral vectors derived from the training dataset, while the coefficients of spectral vectors were determined by leveraging the PROSPECT-D simulated leaf spectra except for the red-edge domain. …”
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Near-Sensor Edge Computing System Enabled by a CMOS Compatible Photonic Integrated Circuit Platform Using Bilayer AlN/Si Waveguides by Zhihao Ren, Zixuan Zhang, Yangyang Zhuge, Zian Xiao, Siyu Xu, Jingkai Zhou, Chengkuo Lee

“…Highlights A novel near-sensor edge computing system integrates aluminum nitride (AlN) microrings for photonic feature extraction and Si Mach–Zehnder interferometers for photonic neural network operations, achieving real-time artificial intelligence (AI) processing. …”
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Recovery of traffic information through graph signal processing by Rafael Alejandro Martínez Márquez, Giuseppe Patanè

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Semantic communication networking for the intelligence of everything by Guangming SHI, Yong XIAO, Yingyu LI, Dahua GAO, Xuemei XIE

“…With the fast growing demand for the wireless network intelligence, the future communication system will transform from the traditional data-oriented solution to a novel intelligence-of-everything (IoE)-based architecture.Semantic communication is a new communication technology which involves the meaning of message into the communication process.It is believed that semantic communication will have the potential to serve as the fundamental paradigm for the future IoE.The relationship between the semantic communication and IoE was discussed and the basic models and fundamental components of semantic communication were introduced.By discussing the limitations of point-to-point semantic communication, it was argued that the knowledge sharing and resource convergence-based semantic communication networking would be ideal for supporting the future massive scales of IoE systems.The basic components of the semantic communication networking system were discussed and a federated edge intelligence-based semantic communication networking architecture as a case study was considered.Simulation results show that semantic communication networking has the potential to further reduce the resource demand and improve the efficiency of semantic communication.Finally, open problems for future research were discussed.…”
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Identifikasi Karakteristik Citra Berdasarkan pada Nilai Entropi dan Kontras by Bheta Agus Wardijono, Lussiana ETP, Rozi

“…Abstract Determining the object boundaries in an image is a necessary process, to identify the boundaries of an object with other objects as well as to define an object in the image. …”
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Review of communication optimization methods in federated learning by YANG Zhikai, LIU Yaping, ZHANG Shuo, SUN Zhe, YAN Dingyu

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An investigation on behaviour of 800 MPa grade hot-rolled steels in interrupted ISO 16630 hole expansion testing by Plosila Pekka, Vierelä Raimo, Juntunen Päivi, Kesti Vili, Kömi Jukka, Kaijalainen Antti

“…However, the limiting hole expansion ratio (HER) does not provide detailed information on the behaviour of the edge during the expansion process. Digital image correlation (DIC) strain measurements allow a more detailed analysis of formability testing. …”
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EDPNet: A Transmission Line Ice-Thickness Recognition End-Side Network Based on Efficient Dynamic Perception by Yangyang Jiao, Yu Zhang, Yinke Dou, Liangliang Zhao, Qiang Liu

“…Then, a new dynamic loss function is adopted in the training process to guide the model to perform refined detection of ice-covered boundaries. …”
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A Deep Learning-Based Algorithm for Ceramic Product Defect Detection by Junxiang Diao, Hua Wei, Yawei Zhou, Zhihua Diao

“…Additionally, an adaptive threshold method is proposed to improve the traditional Canny edge detection algorithm, significantly enhancing its accuracy in defect edge detection. …”
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Survey and Evaluation of Converging Architecture in LLMs Based on Footsteps of Operations by Seongho Kim, Jihyun Moon, Juntaek Oh, Insu Choi, Joon-Sung Yang

“…Large language models (LLMs), which have emerged from advances in natural language processing (NLP), enable chatbots, virtual assistants, and numerous domain-specific applications. …”
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Similar Instances Reuse Based Numerical Control Process Decision Method for Prismatic Parts by Changhong XU, Shusheng ZHANG, Jiachen LIANG, Rui HUANG, Rong BIAN

“…Specifically, intelligent NC process decision-making is an essential supporting method for raising Intelligent Manufacturing, as it focuses on optimizing and deciding the NC process scheme for a part automatically and effectively. …”
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Multi-order optical spatial vortex filters for simultaneous contour extraction of various parts of an object by S.N. Khonina, A.P. Porfirev, P.A. Khorin, A.P. Dzyuba, D.P. Serafimovich, R.V. Skidanov

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Metasurface enabled broadband, high numerical aperture Laplace differentiator under multiple polarization illumination by Chen Zhou, Naseer Muhammad, Ruizhe Zhao, Yanjie Chen, Guangzhou Geng, Junjie Li, Xiaowei Li, Xin Li, Yongtian Wang, Lingling Huang

“…Abstract Optical metasurfaces to perform optical analog spatial differentiation operations and image edge detection processing is a currently hot topic. …”
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DIKWP-Driven Artificial Consciousness for IoT-Enabled Smart Healthcare Systems by Yucong Duan, Zhendong Guo

“…The proposed system deploys DIKWP agents at edge and cloud nodes to transform raw sensor data into high-level knowledge and purpose-driven actions. …”
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A Survey on Reduction of Energy Consumption in Fog Networks—Communications and Computations by Bartosz Kopras, Filip Idzikowski, Hanna Bogucka

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Extending Guided Filters Through Effective Utilization of Multi-Channel Guide Images Based on Singular Value Decomposition by Kazu Mishiba

“…We validated the proposed method across various image processing applications, including denoising, edge-preserving smoothing, detail enhancement, and edge-enhancing smoothing. …”
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Nonlocal phase-change metaoptics for reconfigurable nonvolatile image processing by Guoce Yang, Mengyun Wang, June Sang Lee, Nikolaos Farmakidis, Joe Shields, Carlota Ruiz de Galarreta, Stuart Kendall, Jacopo Bertolotti, Andriy Moskalenko, Kairan Huang, Andrea Alù, C. David Wright, Harish Bhaskaran

“…Abstract The next generation of smart imaging and vision systems will require compact and tunable optical computing hardware to perform high-speed and low-power image processing. These requirements are driving the development of computing metasurfaces to realize efficient front-end analog optical pre-processors, especially for edge detection capability. …”
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