Impact of length of stay on diagnostic yield in the epilepsy monitoring unit: A multi‐center retrospective 12‐year Veterans Health Administration study by Maximillian S. Feygin, Autumn Smith, Sruthi Gopinath Karicheri, Khadar Haroun, Omar Khan, Maria R. Lopez, Stephan Eisenschenk, John Jones, Stephanie Reeder, Alan R. Towne, Christopher Ransom, Karen Medin, James Chen, Tung Tran, Nina I. Garga, Noemi Rincon‐Flores, Marissa Kellogg, Steven Tobochnik, Zulfi Haneef, the Veterans Epilepsy Learning, Collaborative Research, and Operations (VELCRO) investigators

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Hydropower Plant Available Energy Forecasting Using Artificial Neural Network and Particle Swarm Optimization by Suriya Kaewarsa, Vanhkham Kongpaseuth

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Physics-Informed Neural Network for Solving 2D Steady Incompressible Navier-Stokes Equations: Application to Poiseuille Flow by Peter Anthony, Philibus M Gyuk, Isaac H Daniel

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Partial Discharge (PD) Signal Recognition in Fiber-Optic Acoustic Emission Using a Lightweight Attention Mechanism (ECA) by Yang Feng, Dong Yuhan, Jiang Peng, Liu Guolen

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Lightweight Explicit 3D Human Digitization via Normal Integration by Jiaxuan Liu, Jingyi Wu, Ruiyang Jing, Han Yu, Jing Liu, Liang Song

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The intelligent development and preservation of folk sports culture under artificial intelligence by Zhihui Li, Shamsulariffin Bin Samsudin, Noor Hamzani Farizan, Zulkhairi Azizi Zainal Abidin, Lei Zhang

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MEA‐seqX: High‐Resolution Profiling of Large‐Scale Electrophysiological and Transcriptional Network Dynamics by Brett Addison Emery, Xin Hu, Diana Klütsch, Shahrukh Khanzada, Ludvig Larsson, Ionut Dumitru, Jonas Frisén, Joakim Lundeberg, Gerd Kempermann, Hayder Amin

“…Abstract Concepts of brain function imply congruence and mutual causal influence between molecular events and neuronal activity. …”
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Frameworks and Results in Distributionally Robust Optimization by Rahimian, Hamed, Mehrotra, Sanjay

“…A modeling framework, called distributionally robust optimization (DRO), has recently received significant attention in both the operations research and statistical learning communities. This paper surveys main concepts and contributions to DRO, and relationships with robust optimization, risk aversion, chance-constrained optimization, and function regularization. …”
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Resistance Spot Welding Defect Detection Based on Visual Inspection: Improved Faster R-CNN Model by Weijie Liu, Jie Hu, Jin Qi

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Image captioning using bidirectional LSTM neural network by Farnaz Hoseini, Anaram Yaghoobi Notash

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CoGraphNet for enhanced text classification using word-sentence heterogeneous graph representations and improved interpretability by Pengyi Li, Xueying Fu, Juntao Chen, Junyi Hu

“…Abstract Text Graph Representation Learning through Graph Neural Networks (TG-GNN) is a powerful approach in natural language processing and information retrieval. …”
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Safe Switching Model-Free Value Iteration for General Nonlinear Systems by Timotei Lala

“…Using the initial controller Q-function and the one continuously actualized during learning, the stability of the switching mechanism in closed loop with the system is derived using the Multiple Lyapunov Functions (MLF) framework. …”
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Structural strength analysis and optimization of converter lug based on Kriging model by HE Guanqiang, LIU Yongjiang, LI Hua, CHEN Liming

“…As a result, for using traditional engineering optimization methods to optimize the converter structure, the optimization efficiency will be severely limited, since these methods need to invoke a large amount of simulations as function evaluations. In this paper, machine learning methods were considered to approximate the functional relationships between design variables and responses. …”
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Adaptive Autoencoder-Based Intrusion Detection System with Single Threshold for CAN Networks by Donghyeon Kim, Hyungchul Im, Seongsoo Lee

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Target detection technology of coal mine wheeled robot combining improved CNN and self attention mechanism by Junfei TANG, Hailong XING, Su LI, Taotao ZHANG, Heng LIU, Shiyu YAO

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Acquisition of Variation in the Use of <i>alors</i>, <i>donc</i>, <i>fait que</i> by Advanced French-as-a-Second-Language Learners in Ontario, Canada by Françoise Mougeon, Raymond Mougeon, Katherine Rehner

“…It considers two types of functions fulfilled by these connectors: (i) the grammatical function of expressing consequence between two clauses and (ii) a range of discursive functions, a dual focus not present in previous research, which considered only one or the other of these two types of functions. …”
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DeepLASD countermeasure for logical access audio spoofing by Hamed Al-Tairi, Ali Javed, Tasawer Khan, Abdul Khader Jilani Saudagar

“…This paper proposes an end-to-end deep learning approach DeepLASD, that processes raw waveforms to detect spoofed speech without relying on handcrafted features. …”
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Probiotics restore impaired spatial cognition and synaptic plasticity of prenatally-stressed male rats: focus on hippocampal and intestinal tight junctions by Fatemeh Aghighi Bidgoli, Sayyed Alireza Talaei, Abolfazl Azami Tameh, Mahmoud Salami

“…Bidirectional communication between the gut microbiota and the nervous system founded the gut-microbiota-brain axis, substantially affects numerous vital functions of the body. Stress, as the body's natural reaction to stressful situations, in turn, affects the functioning of various organs. …”
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Implicit Is Not Enough: Explicitly Enforcing Anatomical Priors inside Landmark Localization Models by Simon Johannes Joham, Arnela Hadzic, Martin Urschler

“…The current ALL literature relies heavily on implicit anatomical constraints built into the loss function and network architecture to reduce the risk of anatomically infeasible predictions. …”
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Dilated Convolution and YOLOv8 Feature Extraction Network: An Improved Method for MRI-Based Brain Tumor Detection by Lincy Annet Abraham, Gopinath Palanisamy, Veerapu Goutham

“…In addition, the DC-YOLOv8FEN uses a position regression loss function and adds Wise-IoU&#x2019;s dynamic non-monotonic focus mechanism to make it even better. …”
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