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• Enhanced Motion Prediction of Semi-Submersible Platform Using Bayesian Neural Network and Field Monitoring Data
  The motion prediction of semi-submersible platforms is of significant importance for improving operational efficiency, ensuring platform safety, and providing early warning information for potential risks. Traditional prediction methods, such as those based on…
  crossref Song Li, Jia-wang Chen 2026-02-02T05:09:43Z 置信度 0.70
• ADS-B Signal Separation with a Dual-Path Convolutional-Recurrent Neural Network
  crossref Burcu Türk, Işın Erer 2026-08-11T19:20:04Z 置信度 0.70
• Accelerated Permeability Upscaling: A Convolutional Neural Network Approach
  Summary Efficiently determining effective permeability involves substantial computational efforts, even when employing local upscaling techniques. This research utilizes a convolutional neural network (CNN) architecture for the rapid estimation of effective pe…
  crossref Mohammad Sayyafzadeh, Saeid Telvari, Dominique Guérillot, Mohammad Sharifi 2026-01-27T15:23:17Z 置信度 0.70
• Chip dynamic power prediction method based on improved graph neural network
  crossref Sihan Du 2026-08-12T17:59:03Z 置信度 0.70
• Communications in Mathematical Physics Neural Network Formation via Navier-Stokes Dynamics and Spectral Encoding by Riemann Zeta Zeros
  We propose a theoretical framework in which neural network formation is modeled as an emergent process governed by Navier-Stokes-type dynamics on a highdimensional functional manifold. In this framework, neural connectivity patterns arise from the evolution of…
  crossref Chur Chin 2026-03-10T11:14:14Z 置信度 0.70
• Deep Convolutional Neural Network Driven 3D Facial Geometry
  crossref 2026-01-10T06:21:22Z 置信度 0.70
• Memristor crossbar based hardware realization of BSB recall function
  crossref Miao Hu, Hai Li, Qing Wu, Garrett S. Rose 等 2012-08-01T16:47:51Z 置信度 0.70
• Adversarially robust neural network decision boundaries via tropical geometry
  crossref Kurt Pasque, Christopher Teska, Ruriko Yoshida, Keiji Miura 等 2026-01-21T00:30:55Z 置信度 0.70
• Accelerating stochastic simulation of post-failure landslide runout using a random graph neural network-based simulator
  crossref Yongjin Choi, Seungjun Lee 2026-01-26T16:08:09Z 置信度 0.70
• GAF-SCNN: Ghost-Attention Fusion Semantic Convolutional Neural Network for Real-Time Urban Scene Understanding
  We present GAF-SCNN (Ghost Attention Fusion Semantic CNN), a compact architecture for real-time semantic segmentation targeting edge deployment in autonomous driving, robotics, and surveillance. GAF-SCNN integrates three efficient design strategies within a Fa…
  crossref Ahsan Ul Haq, Veningston K 2026-05-13T06:42:52Z 置信度 0.70
• Review for "Graph Neural Network-Based Multi-Objective Bayesian Optimization for Enhanced Screening of Metal–Organic Frameworks with Optimal Separation Performance"
  crossref 2026-02-10T21:10:43Z 置信度 0.70
• Decision letter for "Controllable Synthesis and Enhanced Photochromic Performance of Er-Doped WO3 Nano Neural Network-like Structures"
  crossref 2026-01-14T21:08:35Z 置信度 0.70
• Neural-network-based design and implementation of fast and robust quantum gates
  crossref Anonymous 2026-08-31T18:45:26Z 置信度 0.70
• Context-aware misinformation detection using BERT-based neural network with TF-IDF integration
  crossref 2025-12-17T10:56:44Z 置信度 0.70
• Data-Driven Capacity Estimation of Lithium-ion Batteries via Temperature-Coupled Neural Network
  crossref Ala A. Hussein 2026-05-20T19:48:55Z 置信度 0.70
• Artificial Neural Network Modeling of Surplus Value Extraction and Criminality: A Computational Approach from Political Economy
  crossref 2026-05-26T09:11:09Z 置信度 0.70
• A Few-shot Physics-inspired Diffractive Neural Network for Zooming Image Edge Detection
  We propose physics-inspired diffractive neural networks for zooming image edge detection. By embedding DNN-layers into the physical model of traditional lens imaging, our method requires fewer training-data, less diffractive layers, while achieving better gene…
  crossref Shengyao Xu, Pengsheng Zhou, Weijie Chang, Guofeng Zhu 等 2026-07-15T11:08:03Z 置信度 0.70
• Multi-graph Decoupled Heterogeneous Graph Neural Network with Reinforcement Learning and Decoupled Contrastive Loss
  Emotion Recognition in Conversation (ERC) is a key task in human-computer interaction and affective computing. Currently, leveraging graph neural networks to model the complex interactions among speakers has become mainstream. However, existing methods still f…
  crossref Yunfeng Xu, Hao Chen, Haipeng Tan 2026-04-09T17:39:54Z 置信度 0.70
• An energy-efficient attention-based spiking neural network for medical image classification
  Modern medical imaging demands models capable of processing high-resolution images while maintaining computational and energy efficiency compatible with clinical deployment. Current dominant approaches based on Convolutional Neural Networks (CNNs) and Vision T…
  crossref Garreau Kenza, Brad Niepceron, Emmanuel Bellenger, Filippo Grassia 2026-03-22T14:39:02Z 置信度 0.70
• L-System Genetic Encoding for Scalable Neural Network Evolution: A Comparison with Direct Matrix Encoding
  Abstract An artificial world of barriers and plains scattered with food is used to test the feasibility of using genetic algorithms to optimize hebbian neural networks to perform on problems without apriori knowledge of the problem domain. A formal L-System ba…
  crossref Alexander Stuy, Nodin Weddington 2026-04-27T01:38:46Z 置信度 0.70
• Skin Disease Diagnosis Using Convolutional Neural Network Techniques
  crossref 2026-03-27T10:36:14Z 置信度 0.70
• Discovering Human Behavioral Transmission Laws in Epidemics via a Physics-Constrained Neural Network
  Epidemic transmission is shaped not only by pathogen biology but by adaptive human behavioral responses, yet existing frameworks lack a mathematically explicit, data-derived formulation of this coupling. We introduce a physics-constrained neural network and sy…
  crossref Yang Xu, Qing Han, Jude Dzevela Kong 2026-04-13T15:43:28Z 置信度 0.70
• Author response for "A Hardware-Efficient Multi-Exit Bayesian Neural Network Accelerator for Speech Classification on FPGA"
  crossref haoheng huang, Zilong Liang 2026-04-14T21:11:02Z 置信度 0.70
• A Graph Neural Network Surrogate for Traffic Simulation in Probabilistic Wildfire Evacuation Planning
  Agent-based traffic simulation is one of the computational bottleneck in probabilistic wildfire evacuation frameworks that rely on Monte Carlo analysis to populate Bayesian network models. To address this challenge, this paper presents a graph neural network (…
  crossref Mohammad Pishahang, Eduardo Rodriguez, Enrique Lopez Droguett 2026-04-23T14:52:56Z 置信度 0.70
• A physically based neural network for flood routing: The Muskingum-Recurrent neural network
  crossref Zhaoxi Li, Tiejian Li, Jian Sun, Jiaye Li 等 2026-04-03T01:44:16Z 置信度 0.70
• NODE LEVEL CAPSULE GRAPH NEURAL NETWORK WITH ARTIFICIAL PROTOZOA OPTIMIZATION APPROACH
  Hybrid renewable energy systems (HRES) are frequently employed to combine several energy sources, like the sun, wind, and hydroelectric, to provide reliable power. These systems are essential for optimizing energy distribution and enhancing stability, especial…
  crossref Hemalatha G, Nithyashree R, Thirumoorthi P, Harikumar M E 2026-06-23T19:44:22Z 置信度 0.70
• Hardware-Efficient Neural Network Implementation: A Power-Accuracy Trade-off Analysis for Quantized Classification Neural Network
  This paper presents a comprehensive analysis of power-accuracy trade-offs in quantized neural network implementations for Application-Specific Integrated Circuit (ASIC) design. A three-layer feedforward neural network trained on the Wisconsin Breast Cancer dat…
  crossref Amogh Anshu N 2025-12-11T17:58:20Z 置信度 0.70
• AGNN-LB: Adaptive Graph Neural Network Based Load Balancing for Energy Efficient and Congestion Aware Wireless Sensor Networks
  Objectives: To propose a novel neural network-based load balancing approach for energy-efficient and congestion-aware routing in large-scale wireless sensor network (WSN) environments. The key objective is to develop intelligent routing that is capable of lear…
  crossref D Maheshwaran, V Saravanan 2026-07-08T07:20:02Z 置信度 0.70
• Dynamic shortcut connections of deep residual neural network
  crossref H. Moayed 2026-02-11T05:26:35Z 置信度 0.70
• Physics-informed neural network modelling of the Schrödinger equation for the Van Der Waals potential
  crossref 2026-06-04T08:24:16Z 置信度 0.70
• Error Analysis of Higher Order Integration Schemes in the Context of Neural Network based Modelling
  Abstract This work shows that numerical integration schemes, such as the trapezoidal sum, the randomized trapezoidal sum, the composite Simpson's rule and the composite Gaussian quadrature, might not achieve their asymptotic order for practical step widths whe…
  crossref Felix Mest, Martin Arnold 2026-08-03T09:36:19Z 置信度 0.70
• IGVFDS2924VBYG
  crossref 2026-04-07T05:55:36Z 置信度 0.70
• Performance comparison of memristor crossbar-based analog and FPGA-based digital weight-memory-less neural networks
  crossref Chinamu Kawano, Masanori Hashimoto 2024-01-15T15:56:12Z 置信度 0.70
• Design and Implementation of Intelligent Information System Based on Hybrid Neural Network
  crossref Junhao Su 2026-05-30T07:33:17Z 置信度 0.70
• Forest fire detection system using Convolutional Neural Network and MODIS satellite data in Indonesia
  crossref Sri ROSA 2026-07-31T10:56:11Z 置信度 0.70
• A Convolutional Neural Network-Based Garbage Classification Method with Overfitting Prevention
  crossref Ruixiang Guan 2026-08-17T19:18:35Z 置信度 0.70
• A multi-task neural network for source localization in shallow-water environment with depth classification
  Limited high-quality training data can cause overfitting and weak generalization in deep-learning-based source localization, leading to degraded performance in realistic environments. In this study, a multi-task neural network with a depth-classification branc…
  crossref Jing Guo, Juan Zeng 2026-07-15T15:43:36Z 置信度 0.70
• Direct fatality-based seismic design of steel moment-resisting frames using artificial neural network models
  crossref Hamed Dadkhah, Mahsa Noruzvand 2026-07-24T16:26:44Z 置信度 0.70
• <scp>RETRACTION</scp> : Research on Group Behavior Model Based on Neural Network Computing
  RETRACTION : J. Wei , Y. Tian , and J. Geng , “,” Computational Intelligence 38 no. ( 2022 ): 731 – 746 , https://doi.org/10.1111/coin.12403 . The above article, published online on 29 September 2020 in Wiley Online Library ( wileyonlinelibrary.com ) has been …
  crossref 2026-01-23T11:18:37Z 置信度 0.70
• Fault diagnosis algorithm for building electrical engineering systems based on BP neural network
  Abstract In view of the fact that the traditional diagnosis technology cannot meet the increasingly complex reliability requirements of modern building electrical systems, a fault diagnosis method of building electrical systems based on hyperparameter back pro…
  crossref Hua Liu 2026-08-04T22:58:07Z 置信度 0.70
• Graph Neural Network for Context-Aware Cyber Threat Intelligence: A Hybrid Approach
  The rapid expansion of Internet of Things (IoT) devices and advanced high-speed data transmission networks has complicated modern cyber attacks to the point that it is now relatively simple for attackers to evade the traditional security controls in place. The…
  crossref Rubina Khadim, Asma Razaq, Aoun Muhammad, Umar Fayyaz 等 2026-08-12T17:59:42Z 置信度 0.70
• Intelligent Adaptive Control with System Constraints
  crossref Kapil Sachan, Ahmad Jobran Al-Mahasneh, Sreenatha Anavatti, Radhakant Padhi 2026-06-23T11:09:07Z 置信度 0.70
• Physics-Informed Neural Network for Robust Petrophysical Interpretation with Learnable Physical Parameters
  Abstract Accurate estimation of porosity (ϕ), water saturation (SW), and shale volume (VSH) is crucial for quantitative reservoir characterization. Traditional deterministic models, such as Archie's equation and shaly-sand formulations (e.g., Simandoux, Waxman…
  crossref S. Acharya, K. Fabian, K. Westeng 2026-01-13T00:04:58Z 置信度 0.70
• Physics-Informed Neural Network Enhanced SRF-PLL for Grid-Connected Systems
  crossref Varsha Sunkara, Kartik Kashyap, Prabhakaran KK 2026-05-15T19:51:24Z 置信度 0.70
• Neural Network Techniques for Radio Signal Prediction in 5G Intelligent Communication Systems
  crossref Behruz Saidov, Daler Anvarzoda, Azamjon Davlatov 2026-04-27T19:47:39Z 置信度 0.70
• Survey of Neural Network Approaches to Target Tracking with an Emphasis on Interpretability
  crossref Marco Mari, Lauro Snidaro 2025-10-01T06:49:19Z 置信度 0.70
• A neural network-optimized broadband RF rectifier with wide dynamic range
  crossref Jialu Wang, Fabin Fan, Xiaofang Wu 2025-12-08T16:19:36Z 置信度 0.70
• Simultaneous imaging of basement relief and varying susceptibility using trained deep neural network
  ABSTRACT Imaging basement relief is challenging, given the unclear distribution of physical properties in the subsurface and the decreasing sensitivity of geophysical data to geometry with the increasing burial depth. Most previous studies using the traditiona…
  crossref Zhuo Liu, Yaoguo Li 2026-03-25T08:51:06Z 置信度 0.70
• Theoretical and Methodological Aspects of Integrating Neural Network Technologies into Forensic Science
  Introduction. The issues of using neural network technologies in forensic science are very relevant and discussed. Currently, various scientific projects are being implemented to create neural networks for solving problems of certain types of expertise. Howeve…
  crossref Nataliya M. Turkova 2026-06-24T13:18:18Z 置信度 0.70
• Graph Neural Network using Temporal and Spectral Correlations for Underwater Acoustic Event Detection
  Acoustic signals measured in underwater environments exhibit complicated and diverse temporal and spectral characteristics and often involve overlapping multiple sources, making accurate acoustic event detection challenging. Most of existing approaches only us…
  crossref Kibae Lee, Yoonsang Jeong, Chong Hyun Lee 2026-05-07T21:37:25Z 置信度 0.70
• Accuracy-Latency Trade-offs Under Neural Network Compression in Safety-Critical Edge AI Applications: A Controlled Simulation Study
  Abstract Neural network compression is indispensable for deploying AI on resource-constrained edge hardware across safety-critical domains including healthcare monitoring, prosthetic limb control, educational robotics, and autonomous navigation. Standard compr…
  crossref Nikitha 2026-04-14T10:29:21Z 置信度 0.70
• Factorial Benchmarking of Exact and Finite-Shot Gradient Resolvability in a Four-Qubit Hybrid Quantum Neural Network
  Abstract Gradient resolvability in quantum neural networks can depend simultaneously on circuit structure, objective construction, and finite-shot measurement, yet these interventions are usually benchmarked separately. We use a complete 2³ factorial design to…
  crossref Brandon Shen 2026-08-11T11:31:02Z 置信度 0.70
• Learning the Propagation of Policy Shocks in Global Food Trade: A Graph Neural Network Disciplined by Spatial Equilibrium
  Export restrictions in staple food markets raise prices far beyond the countries that impose them, yet the incidence of that transmission across the trade network, and the welfare it shifts between developing and developed economies, is hard to measure. This s…
  crossref Ayodele Idowu 2026-08-13T10:45:26Z 置信度 0.70
• Fixed-time synchronization of delayed memristor-based recurrent neural networks
  crossref Jinde Cao, Ruoxia Li 2017-01-26T01:43:46Z 置信度 0.70
• Modelling transpositional invariancy of melody recognition with an attractor neural network
  crossref Lubica Beňušková 2015-08-18T20:04:31Z 置信度 0.70
• Neural Network-Based Multitarget Radar Data Association Model for Education
  crossref O.N. Marchuk, V.A. Loginov 2026-06-12T19:41:19Z 置信度 0.70
• Research on Big Data Mining Methods Based on Graph Neural Networks
  crossref Qianhui Shen 2026-07-21T19:08:30Z 置信度 0.70
• Deformation prediction of deep foundation pit support based on BP neural network
  crossref Jianming Zhang 2026-08-20T11:23:50Z 置信度 0.70
• Review for "Integrated Digital and Analog Resistive Switching in a Bis-Indolyl Derivative-Based Memristor for Artificial Synaptic Applications"
  crossref 2026-06-16T21:36:14Z 置信度 0.70
• Image-Based Obfuscated Malware Detection Using Lightweight Binarized Neural Network Architecture
  crossref Khushboo Das, Dhruba Kumar Bhattacharyya 2026-05-05T19:59:50Z 置信度 0.70
• A Neural Network-Enabled OTFS-PAPR Reduction with Low Computational Complexity
  crossref M. I. Al-Rayif, E. E. Eldukhri 2026-01-28T06:37:35Z 置信度 0.70
• Rapid recognition of multimodal emotion based on graph convolutional neural network
  crossref Tan Liu, Qiqun Liu 2025-08-29T13:02:14Z 置信度 0.70
• Sparsification from dilute connectivity in a neural network model of memory
  crossref Miguel Maravall 2015-08-18T16:03:49Z 置信度 0.70
• A systematic literature review of spatio-temporal graph neural network models for time series forecasting and classification
  crossref Flavio Corradini, Flavio Gerosa, Marco Gori, Carlo Lucheroni 等 2025-11-03T20:27:38Z 置信度 0.70
• Figure 10: Distribution of neural network architectures based on the pathology analyzed by the different types of neural network architectures.
  crossref 2024-10-21T04:07:31Z 置信度 0.70
• Neural Network-Based Classification of Skin Diseases with Deep Learning
  Millions of individuals all over the world have skin diseases and their adequate and timely diagnosis is inescapable in the treatment process. The paper explains a revolutionary approach to automated classification of skin diseases that uses the deep learning …
  crossref Ahmed Qusay Jawad 2026-06-02T06:59:12Z 置信度 0.70
• Joint stiffness estimation of body structure using neural network
  crossref A. Okabe, N. Tomioka 2026-01-27T09:05:51Z 置信度 0.70
• Multi-Channel Dynamic Convolutional Network for Knowledge Graph Completion
  crossref Yanni Feng, Haitao Yu 2026-04-07T19:54:56Z 置信度 0.70
• Benchmarking Ice-Water Equilibria Exhibited by Foundation Neural Network Potentials
  Herein we report the melting points of ice exhibited by some recently published foundation Neural Network Potentials (NNPs) using the direct coexistence method: SO3LR, Orb v3, MACE-MP and Fennix-Bio1, as well as the first generation model ANI-2x. Using our pre…
  crossref Rasmus Nilsson, Golnaz Roudsari, Mária Lbadaoui-Darvas, Bernhard Reischl 等 2026-03-27T05:53:51Z 置信度 0.70
• Exploration of Asymmetric Relationships in Graph Neural Network Topology
  As an information extraction framework, graph neural network has been widely used in many fields, but there is a serious problem of over-smoothing in graph neural network, that is, with the increase of the number of iterations, the nodes gradually tending towa…
  crossref Lin Ma, Wenjun Wang, Jun Wang, Zhitao Ma 2026-01-29T02:47:09Z 置信度 0.70
• Horizontal Gasliquid Swirling Flow Regime Identification Based on Attention Mechanism and Multi-scale Convolutional Neural Network
  Real-time identification of gasliquid two-phase flow regimes is essential for maintaining the safety and stability of industrial processes, including chemical production, petroleum transportation, and energy systems. However, swirling flow regimes characterize…
  crossref wen liu, jiayu li 2026-06-12T14:46:09Z 置信度 0.70
• Learning internal representations in an attractor neural network with analogue neurons
  crossref Daniel Amit†, Nicolas Brunel 2002-08-25T02:35:54Z 置信度 0.70
• GraphMux: A Graph Neural Network Framework for Encrypted Traffic Classification
  The growing dominance of encrypted network traffic and new encrypted algorithms (TLS 1.3, QUIC, DoH) poses significant challenges for reliable network classification, particularly as many existing approaches rely on text or image-based representations, which s…
  crossref Matan Klein, Revital Marbel, Chen Hajaj, Ran Dubin 等 2026-02-04T16:38:42Z 置信度 0.70
• Water and Gas Flooding Oil Monitored by a Realtime Unet-Neural-Network-Based Method
  To achieve real-time and accurate detections of residual oil distribution during water or CO₂ flooding, this study utilizes the high-frequency Ground Penetrating Radar (GPR) for monitoring of the flooding process in real time. The U-Net neural networks are tra…
  crossref Jie Zhang, Maolei Cui, Rui Wang 2026-03-25T06:03:14Z 置信度 0.70
• Deep neural network for glaucoma detection using contact lens sensor data
  crossref Paweł Pietrzak, Hubert Świerczyński, Szymon Szczęsny, Cezary Mazurek 等 2026-08-06T09:42:54Z 置信度 0.70
• Quantitative Pathway-Resolved Kinetics from Neural Network-Guided Weighted Ensemble Simulations
  Many crucial biomolecular processes, such as ligand dissociation and conformational switching, occur via multiple competing transition pathways. While standard rare-event sampling methodologies provide rigorous estimates of the global transition rate, they typ…
  crossref Dibyendu Maity, Shaheerah Shahid, Sayari Bhattacharya, Rupak Majumdar 等 2026-07-02T10:45:57Z 置信度 0.70
• Physics Informed Neural Network Model for Flow around Encapsulated Phase Change Materials
  In this work, we present a simple physics informed neural network framework for coupled flow and heat transfer around encapsulated phase change materials. The heat transfer fluid region is solved by using the continuity, momentum, and energy equations as const…
  crossref Subhasish Das, Manish Agrawal, Prasenjit Rath, Anirban Bhattacharya 2026-07-11T15:41:32Z 置信度 0.70
• A Hierarchical Spatial Graph Neural Network Resolves Immunogenic and Tolerogenic Tertiary Lymphoid Structures in Renal Cell Carcinoma
  Abstract Tertiary lymphoid structures (TLS) in the tumour microenvironment span a functional spectrum from immunogenic — driving germinal centre reactions and anti-tumour immunity — to tolerogenic, harbouring regulatory T cells and suppressive myeloid populati…
  crossref Gavin Peng 2026-04-09T07:55:17Z 置信度 0.70
• A Double-Head Physics-Informed Neural Network with RGB Consistency for Stable Training
  Physics-Informed Neural Networks (PINNs) offer a framework for solving partial differential equations without labeled datasets by embedding governing equations into the loss function. However, their performance deteriorates as problem complexity and spatiotemp…
  crossref Byeonggyu Jeon, Shin Hyuk Kim, Yongha Park 2026-05-26T05:39:37Z 置信度 0.70
• EGNN‑DEM: an approach combining equivariant graph neural network (EGNN) with DEM for particle breakage simulation
  Particle breakage is widespread in nature and engineering settings. Accurately simulating particle breakage behavior is therefore of great importance. Existing discrete element method (DEM) breakage models, such as particle replacement and bonded particle clus…
  crossref Deze Yang, Xihua Chu 2026-07-29T03:37:56Z 置信度 0.70
• Neural Network-Based Generation of Three-Dimensional Structured Elliptic Grids
  To address the limitations of traditional elliptic grid generation methods, a neural network-based framework for elliptic grid generation has been proposed. However, its applicability to three-dimensional problems remains unexplored. In this work, the framewor…
  crossref Huaijun Yue, Zaiyou Yang, Q Song, Ning Wei 等 2026-08-06T15:41:49Z 置信度 0.70
• Music Learning Path Optimization System Integrating Graph Neural Network
  Traditional music learning path recommendation systems often fail to model multidimensional correlations within knowledge structures, resulting in incomplete path coverage and limited adaptability. This study proposes a learning path optimization system integr…
  crossref D. N. Zhao 2026-08-14T08:42:51Z 置信度 0.70
• More accurate and reproducible glass transition temperature calculation with unsupervised machine learning and neural network charges
  Accurate computational modeling of the glass transition is a longstanding challenge in polymer chemistry. Atomistic molecular dynamics simulations offer a powerful approach to observe the changes in viscoelasticity, density and chain mobility associated with t…
  crossref Hannah N Turney, Micaela Matta 2026-04-17T06:22:21Z 置信度 0.70
• Integrating RBF Neural Network Forecasts into Hamilton-Jacobi-Bellman Portfolio Optimization: A Comparative Study with Monte Carlo Simulations
  This study examines how alternative scenario-generated methods affect Hamilton-Jacobi-Bellman portfolio optimization using real return data from publicly listed shipping companies. We compare two input-generation approaches: Radial Basis Function Neural Networ…
  crossref Alexander Vassilev 2026-04-26T10:44:02Z 置信度 0.70
• Dynamic Routing in Ring-Circulant NoCs Using a Modified Hopfield Neural Network
  Efficient and reliable routing remains a fundamental challenge in Networks‐on‐Chip (NoCs), especially under dynamic traffic patterns and time‐varying link conditions that degrade performance and scalability. Although ring‐circulant topologies offer desirable s…
  crossref Ali Rezaipour, Mona Moradi, Razieh Farazkish, Nasrin Amiri 2026-04-07T17:42:41Z 置信度 0.70
• Automated AFGL Quantum Number Assignment for CO2 Isotopologues using a Graph Neural Network
  Accurate quantum number assignment for calculated molecular energy levels is a critical bottleneck in generating line broadening parameters for comprehensive line lists for radiative transfer applications. We present an automated pipeline for assigning Air For…
  crossref Marco Barnfield, Sergei N. Yurchenko, Jonathan Tennyson 2026-07-25T02:38:16Z 置信度 0.70
• Dual-Parameter Distribution Correction for Neural-Network Calibration: A Shrinkage-and-Scaling Framework With Multi-Seed Empirical Validation
  Neural-network classifiers trained with cross-entropy loss are frequently mis-calibrated: their output probabilities do not match empirical accuracy rates. Standard training-time remedies such as label smoothing and focal loss, while widely used, can worsen ca…
  crossref RamaKrishna Pasupuleti 2026-07-29T13:24:17Z 置信度 0.70
• Granular Neural Network
  crossref 2011-08-29T12:20:21Z 置信度 0.70
• Research on Big Data Security Governance and Privacy Protection Strategies for Cross-Domain Data Circulation Scenarios
  crossref 2026-04-22T03:20:40Z 置信度 0.70
• Deep Neural Network Graph with Reinforcement Learning for Test Case Prioritization
  crossref 2025-09-07T15:33:59Z 置信度 0.70
• Evaluation of infrared radiations from top of the atmosphere through artificial neural network modeling
  crossref Usama Ayub YOUSUFZAI 2026-01-02T09:53:24Z 置信度 0.70
• An Accelerated Neural Network Framework for Facial Emotion Recognition
  crossref Neha Mathur, Paresh Jain, Pankaj Dadheech 2026-08-19T19:07:35Z 置信度 0.70
• Product Information Classification based on Convolutional Neural Network
  crossref 2022-12-01T18:14:38Z 置信度 0.70
• Optical diffraction neural network assisted computational ghost imaging through dynamic scattering media
  crossref Yuegang Li, Ze Zheng, Junjie Wang, Ming He 等 2026-03-20T07:33:17Z 置信度 0.70
• Graph Neural Network Based Skin Lesion Classification
  crossref Moorthi S, Senthil Kumar Thangavel, K Somasundaram 2026-04-29T19:46:17Z 置信度 0.70
• Hybrid Quantum–Classical Convolutional Neural Network for Robust RF Sensing
  crossref Yujie Sun, Xuyu Wang, Shiwen Mao 2026-03-09T19:55:54Z 置信度 0.70
• Achieving energy efficiency in FPGA-based neural network inference accelerators through approximate computing
  crossref Burhan Khurshid 2025-11-14T15:03:10Z 置信度 0.70
• A Hybrid Photonic Integrated Engine for Convolution and Full Connection in a Convolutional Neural Network
  We present a hybrid photonic integrated engine for convolutional neural networks. Four consecutive convolutional layers and a deep fully connected neural network with five hidden layers are experimentally implemented for the task of digit recognition.
  crossref Yiran Guan, Shanshan Cheng, Mahdi Chegini, Jianping Yao 2026-07-28T21:01:23Z 置信度 0.70
• Road Traffic Data Classification Using Deep Convolutional Neural Network
  crossref Yosr Ranim Slim, Joaquim Ferreira, Chokri Souani 2026-08-17T19:19:14Z 置信度 0.70
• Dual-stage deep neural network for tooth localization and caries segmentation in panoramic dental imaging
  Abstract This study develops and evaluates an automatic AI-based system for dental caries segmentation in panoramic radiographs, contributing to the expanding research on AI applications in dental imaging. Our approach implements a two-stage process: first usi…
  crossref Sirawich Vachmanus, Suchaya Pornprasertsuk-Damrongsri, Pattanasak Mongkolwat, Noppanan Phinklao 等 2026-03-13T04:44:18Z 置信度 0.70