Selective laser melted uniform and functionally graded lattice structures diamond tools: Microstructure, compressive behavior and grinding performance of CuSn20-bonded diamond comp... by Yangli Xu, Haoqing Li, Guoqin Huang, Guangyao Han, Yu Sun, Congming Ke, Xiaodong Li, Xinyan Zheng, Xipeng Xu

“…Gyroid type cellular architectures were designed in MATLAB, fabricated via SLM with CuSn20 alloy and diamond (15 vol%), and characterised by SEM, EBSD and Raman spectroscopy. …”
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Evaluation of LSTM, GRU, and ANFIS Models for Ankle Angle and Ankle Moment Prediction Using Biomechanical Data by T. S. Sangeetha, S. N. Muralikrishna, Advay Mandar Naik, Arun P. Parameswaran

“…These findings highlight the importance of selecting appropriate modeling architectures for biomechanical prediction tasks and identify GRU as a promising candidate for robust gait estimation applicable to assistive and rehabilitative technologies.…”
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Data integration across urban digital twin lifecycle: a comprehensive review of current initiatives by Imane Jeddoub, Gilles-Antoine Nys, Rafika Hajji, Roland Billen

“…The third level performs the integration at the front-end level with the help of system architectures. The aim of this work is to analyze, illustrate, and guide the effectiveness of different data integration approaches. …”
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Bind: large-scale biological interaction network discovery through knowledge graph-driven machine learning by Naafey Aamer, Muhammad Nabeel Asim, Aamer Iqbal Bhatti, Andreas Dengel

“…Performance was assessed using F1-scores across all interaction types. Results Architecturally simpler embedding models captured biological interaction patterns, often outperforming complex approaches. …”
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River total dissolved gas prediction using a hybrid greedy-stepwise feature selection and bidirectional long short-term memory model by Khabat Khosravi, Salim Heddam, Changhyun Jun, Sayed M. Bateni, Dongkyun Kim, Essam Heggy

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Spatiotemporal water quality data reconstruction: A tensor factorization framework by Xuke Wu, Kun Shan, Lan Wang, Jingkai Wang, Mingsheng Shang

“…Previous findings indicate that incorporating bias schemes into NTF architectures substantially reduces underfitting risks. …”
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A novel MRI-based deep learning–radiomics framework for evaluating cerebrospinal fluid signal in central nervous system infection by Ferhat Cüce, Gökalp Tulum, Muhammed Ikbal Isik, Marziye Jalili, Güven Girgin, Ömer Karadaş, Niray Baş, Berza Özcan, Ümit Savaşci, Sena Şakir, Akçay Övünç Karadaş, Eda Teomete, Onur Osman, Jawad Rasheed, Jawad Rasheed, Jawad Rasheed, Jawad Rasheed

“…Two hybrid models (DenseASPP-RadFusion and MobileASPP-RadFusion), fusing radiomics and DL features, were developed and benchmarked against base DL architectures (DenseNet-201 and MobileNet-V3Large) via 5-fold nested cross-validation. …”
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Automated underwater plectropomus leopardus phenotype measurement through cylinder by Mengran Liu, Yaocheng Huang, Guojun Xu, Junwei Zhou, Cun Wei, Jingjie Hu, Zhenmin Bao

“…To address these challenges, we have developed a fish keypoint detection dataset and trained both a fish object detection model and a keypoint detection model using the RTMDet and RTMPose architectures to identify keypoints on Plectropomus leopardus. …”
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Prediction and optimization of gas turbine secondary air system cooling efficiency based on deep learning by Yulong Yao, Bo Hu, Chuan Wang, Jiawei Fan

“…Next, 632 RANS cases were generated, spanning a wider-than-experimental range of secondary-air mass flows (0.11-2.17 kg/s), inlet temperatures (318.85-500 K), and rotor speeds (Reφ=4.65×105-1.4×106). Two neural architectures (MLP and 1D-CNN) were trained on normalized inputs; the 1D-CNN outperformed the MLP, and embedding a squeeze-and-excitation attention module (AM-1D-CNN) further boosted test-set R2 by 3.65% and reduced RMSE by 31.48%. …”
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Global trends in machine learning applications for single-cell transcriptomics research by Xinyu Liu, Zhen Zhang, Chao Tan, Yinquan Ai, Hao Liu, Yuan Li, Jin Yang, Yongyan Song

“…Future directions should optimize deep learning architectures, enhance model generalization capabilities, and promote technical translation through multi-omics and clinical data integration. …”
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BlueEdge: application design for big data cleaning processing using mobile edge computing environments by Nagwa Elmobark, Haitham El-ghareeb, Sara Elhishi

“…We compare BlueEdge with four popular data cleaning tools (WinPure, DoubleTake, WizSame, and DQGlobal) that operate within data warehouse architectures, such as Hadoop servers. The comparison considers criteria such as time consumption, resource utilization (memory and CPU), and tool performance. …”
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Application of granular and ozone-biological activated carbon treatments for the mitigation of organic chemical peaking events in potable water schemes by George William Kajjumba, Ceonie M.M. Washington, Aarthi Mohan, Zita L.T. Yu, Larry Schimmoller, Jesus Gonzalez, R. Scott Summers, Eric R.V. Dickenson

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Metode Deteksi Pokok Pohon Secara Automatis pada Citra Perkebunan Sawit Menggunakan Model Convolutional Neural Network (CNN) pada Perangkat Lunak Sistem Informasi Geografis by Samuel Samuel, Kestrilia Rega Prilianti, Hendry Setiawan, Prasetyo Mimboro

“…This study demonstrates the use of the Convolutional Neural Network (CNN) method with the ResNet-34 and ResNet-50 architectures to build a palm tree principal detection model from UAV images of PTPN IV oil palm plantations. …”
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Optimization of clayey soil parameters with aeolian sand through response surface methodology and a desirability function by Ghania Boukhatem, Messaouda Bencheikh, Mohammed Benzerara, Mehmet Serkan Kırgız, N. Nagaprasad, Krishnaraj Ramaswamy, Souhila Rehab-Bekkouche, R. Shanmugam

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Drawing as an experience. Knowledge, simulation and participation by Giuseppe Amoruso

“…Computer graphics and digital imaging are changing the relationship between designers, users, environment, cultural and educational content of cities, physical and virtual public space, as well as an archive, library, and museum collections. The urban and architectural environments need to be reimagined and transformed considering their virtual extensions and allowing a range of customizations linked to the selection of contents. …”
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Optimization of hydroxyapatite-PEGDA slurry for vat polymerization: Microstructure and mechanical properties of 3D printed bioscaffolds by Liana Mkhitaryan, Lilit Baghdasaryan, Zhenya Khachatryan, Marina Aghayan, Miguel Angel Rodríguez, Viktorya Rstakyan

“…Tartrazine (0.14 wt%) was incorporated as a photoabsorber to improve geometrical accuracy and the printability of complex bioscaffold architectures. Rheological analysis revealed viscosity dependence on solid content, with 50 wt% HA providing superior dispersion stability. …”
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From Qibla Deviation to Social Cohesion: The Construction of Minority Fiqh at the Great Mosque of Makale, Tana Toraja by ABD Karim Faiz, Wahidin, Zulfahmi AR, M. Qahar Awaka

“… The determination of the qibla direction constitutes a normative obligation in Islamic law; however, in minority contexts, its practice often intersects with socio-cultural realities, architectural considerations, and interfaith negotiations—dimensions that remain relatively neglected in both Islamic law scholarship and contemporary legal studies. …”
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Modular and efficient assembly of CRISPR vectors and construction of an apple gene editing efficiency evaluation system by HOU Feifan, HUANG Chuanmi, HAO Pengbo, CONG Liu, BAI Tuanhui, SHI Jiangli, WANG Miaomiao, LIU Yu, ZHAO Yujie, WAN Ran, SHEN Yawen, ZHANG Hengtao, ZHANG Kunxi, ZHENG Xianbo, JIAO Jian

“…However, conventional gene editing systems exhibit critical limitations, including low efficiency vector assembly and inflexible modular architectures. We aim to develop a modular and efficient CRISPR vector system, optimize the Agrobacterium-mediated transient delivery system in apple plantlets, and establish a corresponding evaluation system for assessing the efficiency of gene editing in apple. …”
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