Performance of deep-learning models incorporating knee alignment information for predicting ground reaction force during walking by Tommy Sugiarto, Yi-Jia Lin, Hsiao-Liang Tsai, Chi-Tien Sun, Wei-Chun Hsu

“…Researchers have focused on either simple neural networks or complex pretrained models with multiple layers. In addition, studies have rarely integrated knee alignment information or the side affected by injury as features to improve model predictions. …”
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Numerical analysis of the hydraulic fracture propagation behavior encountering gravel in conglomerate reservoirs by Zehao Xu, Haiyang Zhao, Xiangjun Liu, Xiongwei Liu, Pandeng Luo, Lixi Liang

“…Shear stress on the gravel surface rises by 28.3%, and choosing layers with a smaller permeability gap between matrix and gravel can reduce complex near-well fractures. …”
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MEAC: A Multi-Scale Edge-Aware Convolution Module for Robust Infrared Small-Target Detection by Jinlong Hu, Tian Zhang, Ming Zhao

“…The MEAC module is fully compatible with standard convolutional layers and can be seamlessly embedded into various network architectures. …”
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TrBot: A Turkish Deep Learning Chatbot Utilizing Seq2Seq Model by Bilal Babayigit, Habibelahi Rahmani, Mohammed Abubaker

“…This study presents TrBot, a general-purpose Turkish chatbot that utilizes deep learning techniques, specifically a seq2seq model with Long Short-Term Memory (LSTM) layers. This architecture allows TrBot to manage sequential dependencies and effectively generate coherent responses, offering advantages in handling the complex morphological structure of Turkish. …”
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Failure Modes and Fault Morphology by Adam J. Cawood, David A. Ferrill, Kevin J. Smart

“…Analyses demonstrate complex fault surface geometries, a broad spectrum of slip tendency (Ts) and dilation tendency (Td), and variable failure behavior. …”
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Recent Applications of Focused Ion Beam–Scanning Electron Microscopy in Advanced Packaging by Huan Zhang, Mengmeng Ma, Yuhang Liu, Wenwu Zhang, Chonglei Zhang

“…Advanced packaging represents a crucial technological evolution aimed at overcoming limitations posed by Moore’s Law, driving the semiconductor industry from two-dimensional toward three-dimensional integrated structures. The increasing complexity and miniaturization of electronic devices have significantly heightened the challenges associated with failure analysis during process development. …”
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An In-Memory-Computing Binary Neural Network Architecture With In-Memory Batch Normalization by Prathamesh Prashant Rege, Ming Yin, Sanjay Parihar, Joseph Versaggi, Shashank Nemawarkar

“…This paper describes an in-memory computing architecture that combines full-precision computation for the first and last layers of a neural network while employing binary weights and input activations for the intermediate layers. …”
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Competitive Adsorption of Metals onto Magnetic Graphene Oxide: Comparison with Other Carbonaceous Adsorbents by Jin Hur, Jaewon Shin, Jeseung Yoo, Young-Soo Seo

“…Dissolved HS played a greater role than HS adsorbed onto the adsorbents, competing with the adsorption sites for metal complexation.…”
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A State-Based Modeling Approach for Efficient Performance Evaluation of Embedded System Architectures at Transaction Level by Anthony Barreteau, Sébastien Le Nours, Olivier Pasquier

“…Abstract models are necessary to assist system architects in the evaluation process of hardware/software architectures and to cope with the still increasing complexity of embedded systems. Efficient methods are required to create reliable models of system architectures and to allow early performance evaluation and fast exploration of the design space. …”
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Transmit Power Optimization for Simultaneous Wireless Information and Power Transfer-Assisted IoT Networks with Integrated Sensing and Communication and Nonlinear Energy Harvesting... by Chengrui Zhou, Xinru Wang, Yanfei Dou, Xiaomin Chen

“…This paper aims to tackle this issue by formulating an optimization problem to minimize the transmit power of the base station (BS) under a nonlinear EH model, considering the coexistence of power-splitting users (PSUs) and time-switching users (TSUs), as well as the beamforming vector associated with PSUs and TSUs. A two-layer algorithm based on semi-definite relaxation is proposed to tackle the complexity issue of the non-convex optimization problem. …”
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Aortic thrombi microstructure through contrast-enhanced X-ray microtomography by Joris Léonet, Jérôme Vicente, Mariangela De Masi-Jacquier, Valérie Deplano

“…Abstract The intraluminal thrombus (ILT) is a heterogeneous porous medium made up of three layers (luminal, medial, abluminal), found in most abdominal aortic aneurysms (AAA). …”
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Transformer-Based Student Engagement Recognition Using Few-Shot Learning by Wejdan Alarefah, Salma Kammoun Jarraya, Nihal Abuzinadah

“…Improving the recognition of online learning engagement is a critical issue in educational information technology, due to the complexities of student behavior and varying assessment standards. …”
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Soundscapes of Resistance: Delta Blues and the Transcultural Journeys of the African Diaspora by John Byron Strait

“…This research project examines Delta blues as a comprehensive cultural phenomenon, exploring its evolution through a series of distinct diffusionary pathways that reveal complex global interactions and transcultural exchange. …”
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Crystalline and Molecular Structure of Hydrated 2,6-Xylidinium Tetrachlorozincate(II) by W. Smirani, M. Rzaigui

“…A new zinc complex compound of formula [2,6-(CH3)2-C6H3NH3]2ZnCl4. 2H2O has been prepared and characterized by X-ray crystallography, thermal analysis and IR spectroscopy. …”
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Artificial intelligence in breast oncology by Alexander Mundinger

“…Abstract Artificial intelligence (AI) is based on complex artificial neural networks, characterized by layered network architecture, parallel processing of large data sets and iterative algorithms for processing large data sets. …”
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A conceptual framework for integrating deltaic food systems and spatial design: the case of the Mekong River Delta by Sophia Arbara, Fransje Hooimeijer

“…Food and deltaic systems are complex, interlinked systems that are crucial for future sustainable development. …”
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A performance-driven hybrid text-image classification model for multimodal data by Swati Gupta, Bal Kishan

“…Roberta is very good at extracting valuable information from both textual embeddings and at capturing complex patterns across many modalities. By using multi-modal feature extraction layers, which guarantee that different kinds of data are compatible, image representations attain this. …”
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Unsupervised Plot Morphology Classification via Graph Attention Networks: Evidence from Nanjing’s Walled City by Ziyu Liu, Yacheng Song

“…The model then learns unsupervised graph embeddings with a two-layer Graph Attention Network guided by a triple loss that couples building morphology with spatial topology. …”
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Vibro-forecasting of fault development in hydropower units by V.V. Kukharchuk, S.Sh. Katsyv, V.F. Hraniak, V.Yu. Kucheruk, V.G. Madiarov, S.A. Bykovsky, A.K. Khassenov, D.Zh. Karabekova

“…That is why, for the purposes of forecasting of fault development in hydropower units, generation of three-layer artificial neurallike network is stipulated. …”
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Hybrid neural network method for damage localization in structural health monitoring by Fatahlla Moreh, Yusuf Hasan, Zarghaam Haider Rizvi, Sven Tomforde, Frank Wuttke

“…Our proposed model incorporates a single RNN layer, complemented by essential supporting layers, which contributes to a reduction in complexity and a decrease in the number of parameters. …”
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