Diffusion Tensor Imaging-Based Research on Human White Matter Anatomy by Ming-guo Qiu, Jing-na Zhang, Ye Zhang, Qi-yu Li, Bing Xie, Jian Wang

“…The three-dimensional architecture of the white matter fibers could be clearly visualized on the diffusion tensor tractography. …”
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ZooCNN: A Zero-Order Optimized Convolutional Neural Network for Pneumonia Classification Using Chest Radiographs by Saravana Kumar Ganesan, Parthasarathy Velusamy, Santhosh Rajendran, Ranjithkumar Sakthivel, Manikandan Bose, Baskaran Stephen Inbaraj

“…The use of ZooPlatform (ZooPT), a hyperparameter finetuning strategy, on a baseline CNN model finetunes the hyperparameters and provides a modified architecture, ZooCNN, with a 72% reduction in weights. …”
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Dual-channel near-field holographic MIMO communications based on programmable digital coding metasurface and electromagnetic theory by Rui Wen Shao, Jun Wei Wu, Jiachen Li, Shengguo Meng, Yifan Xu, Zheng Xing Wang, Wankai Tang, Qiang Cheng, Shi Jin, Tie Jun Cui

“…Here, we propose a near-field holographic MIMO communication architecture based on programmable digital coding metasurface (PDCM) and electromagnetic theory. …”
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Spatio-Temporal Feature Aware Vision Transformers for Real-Time Unmanned Aerial Vehicle Tracking by Hao Zhang, Hengzhou Ye, Xiaoyu Guo, Xu Zhang, Yao Rong, Shuiwang Li

“…This study introduces an innovative single-stream UAV tracking architecture, dubbed NT-Track, which is dedicated to enhancing the efficiency and accuracy of real-time tracking tasks. …”
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Human Keratinocyte Growth and Differentiation on Acellular Porcine Dermal Matrix in relation to Wound Healing Potential by Robert Zajicek, Vaclav Mandys, Ondrej Mestak, Jan Sevcik, Radana Königova, Eva Matouskova

“…Our hypothesis was that the natural biological structure of Xe-Derma plays an important role in keratinocyte proliferation and formation of epidermal architecture in vitro as well as in vivo. The bioactivity of Xe-Derma was studied by a cell culture assay. …”
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Social Justice Work in the University: Understanding Student and Staff Perceptions and Aspirations for Decolonising the Curriculum from a University-Wide Survey by Kyra Araneta, Kelsea Costin, Jennifer Fraser, Fatima Maatwk, Özge Süvari, Esra Tahir

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The formation, development and classification of rail corrugation: a survey on Chinese metro by Yang Wang, Hong Xiao, Zhihai Zhang, Xuhao Cui, Yihao Chi, Mahantesh M. Nadakatti

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Seismic Fragility Analysis of Bridge Group Pile Foundations considering Fluid-Pile-Soil Interaction by Chao Zhang, Chengwang Wu, Piguang Wang

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Lightweight Small Target Detection Algorithm Based on YOLOv8 Network Improvement by Xiaoyi Hao, Ting Li

“…The paper introduces SFD-YOLOv8, a lightweight algorithm based on YOLOv8n, with the aim of enhancing detection performance while maintaining a streamlined architecture. The innovation of SFD-YOLOv8 is characterised by its incorporation of several pioneering modules, including the Dilation-wise Residual (DWR) attention module and the FasterBlock module. …”
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SLG-Net: Small-Large-Global Feature-Based Multilevel Feature Extraction Network for Ultrasound Image Segmentation by Xinya Fan, Jianwen Hu, Kai Hu

“…The SLG-Net is parallel dual-encoder architecture which consists of a CNN encoder and a transformer encoder. …”
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1-Bit/2-Level Analog-to-Digital Conversion Based on Comparator and FPGA for Aperture Synthesis Passive Millimeter-Wave Imager by Xiangzhou Guo, Ghulam Mehdi, Muhammad Asif, Anyong Hu, Jungang Miao

“…In this paper, a comparator-based 1-bit/2-level (1B/2L) A/D conversion architecture is presented. The main error sources during sampling are identified as the timing error of sampling clocks and threshold offset of comparators and analyzed in detail. …”
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End-to-end neural automatic speech recognition system for low resource languages by Sami Dhahbi, Nasir Saleem, Sami Bourouis, Mouhebeddine Berrima, Elena Verdú

“…An on-the-fly data augmentation method is applied to these mel-spectrograms, treating them as images from which features are extracted to train a convolutional neural network (CNN) and a bidirectional long short-term memory (BLSTM)-based ASR. The E2E architecture of this system achieves optimal WER and CER performance. …”
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How do crime and neighborhood environment affect transit ridership? Evidence from five metropolitan cities in the Texas Triangle by Qian He, Jianling Li

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Investigating the intrinsic top-down dynamics of deep generative models by Lorenzo Tausani, Alberto Testolin, Marco Zorzi

“…A popular class of hierarchical generative models is that of Deep Belief Networks (DBNs), which are energy-based deep learning architectures that can learn multiple levels of representations in a completely unsupervised way exploiting Hebbian-like learning mechanisms. …”
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Artificially intelligent detection of retinal pigment sign using P3S-Net for retinitis pigmentosa analysis by Syed Muhammad Ali Imran, Abida Hussain, Nema Salem, Muhammad Arsalan

“…P3S-Net is a residual network with less trainable parameters due to its large kernel architecture. Moreover, these large-kernel receptive fields yield improved segmentation results with early, intermediate, and late feature information fusion. …”
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Physical and Mechanical Properties of Gypsum-Like Rock Materials by Sijiang Wei, Chongyang Wang, Yushun Yang, Meng Wang

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Development and evaluation of a maturity assessment tool for integrating building information modelling into operations and maintenance phase of buildings by Dania K. Abideen, Akilu Yunusa-Kaltungo, Clara Cheung, Patrick Manu

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Planar Nonlinear Galloping of Iced Transmission Lines under Forced Self-Excitation Conditions by Xiaohui Liu, Shuguang Yang, Chuan Wu, Ming Zou, Guangyun Min, Ceshi Sun, Mengqi Cai

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Concept, Framework, and Data Model for Geographical Soundscapes by Xiu Lu, Guannan Li, Xiaoqing Song, Liangchen Zhou, Guonian Lv

“…Taking as an example soundscape data collected on a university road in Nanjing, Jiangsu Province, in a real geographical environment, the concept, framework, and data model architecture of the geo-soundscape proposed in this study are demonstrated and described to validate the completeness and feasibility of the proposed model. …”
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Characterization and Machine Learning-Driven Property Prediction of a Novel Hybrid Hydrogel Bioink Considering Extrusion-Based 3D Bioprinting by Rokeya Sarah, Kory Schimmelpfennig, Riley Rohauer, Christopher L. Lewis, Shah M. Limon, Ahasan Habib

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