FUNCTIONING OF THE CAR PARKING PLACES NEAR HOUSES: FORMULATION OF THE PROBLEM OF THE ROAD CITY NETWORK by I. E. Agureev, D. A. Yurchenko

“…The paper formulates a goal and poses tasks for the research conducting of the adjoining territories of residential areas in Tula as one of the urban traffic flows’ sources and of the identifying patterns of the parking places near houses’ influence on the road network loading.Materials and methods. …”
Get full text

Inventory control strategy based on neural network and fuzzy algorithm in intelligent warehousing system by Chunmei Xie, Cong Xie

“…Abstract To cope with the inventory control problem of an intelligent warehousing system, this paper proposes a neuro-fuzzy dynamic inventory regulation model (NFDIRM), which integrates radial basis function neural network (RBFNN) and fuzzy logic algorithm, aiming to solve the problems of poor prediction accuracy and poor decision flexibility of traditional models. …”
Get full text

Autonomous air combat decision making via graph neural networks and reinforcement learning by Lin Huo, Chudi Wang, Yue Han

Get full text

Smart Poly(acrylic acid)/Poly(acrylamide) Microgels with Interpenetrating Polymer Network Structure by Marin Simeonov, Pavletta Shestakova, Susanne Boye, Albena Lederer, Elena Vassileva

“…Here, we report the synthesis of microgel particles (MGs) with an interpenetrating polymer network structure composed of poly(acrylic acid) (PAA) and polyacrylamide (PAAM) for their potential application as cationic drug carriers. …”
Get full text

Geophysical Frequency Domain Electromagnetic Field Simulation Using Physics-Informed Neural Network by Bochen Wang, Zhenwei Guo, Jianxin Liu, Yanyi Wang, Fansheng Xiong

“…In recent years, the emerging physics-informed neural networks (PINNs) have given new solutions for geophysical EM field simulations. …”
Get full text

Laplacian Pyramid Network With Hybrid Encoder and Edge Guidance for Remote Sensing Change Detection by Wenkai Yan, Yikun Liu, Mingsong Li, Ruifan Zhang, Gongping Yang

“…In this article, we propose a Laplacian pyramid network with hybrid encoder and edge guidance (HE-LPNet) to solve these issues. …”
Get full text

UWB Indoor Localization Based on Artificial Rabbit Optimization Algorithm and BP Neural Network by Chaochuan Jia, Can Tao, Ting Yang, Maosheng Fu, Xiancun Zhou, Zhendong Huang

“…In the field of ultra-wideband (UWB) indoor localization, traditional backpropagation neural networks (BPNNs) are limited by their susceptibility to local minima, which restricts their ability to achieve global optimization. …”
Get full text

A network analysis of nomophobia among Chinese adolescents: Differences in gender and developmental stages by Wei Hong, Jiabin Liu, Ru-De Liu, Yi Ding, Xiantong Yang

“…These findings advance theoretical understanding of nomophobia as a dynamic network of interrelated symptoms, with certain symptoms as central symptoms, and offer practical implications for designing targeted digital mental health interventions for adolescents.…”
Get full text

MTFSR: Multitemporal and Spatial Feature Reconstruction Denoising Network for Remote Sensing Change Detection by YeKai Cui, Peng Duan, Jinjiang Li

“…With the widespread application of convolutional neural networks (CNNs) in remote sensing (RS) technologies, change detection (CD) has attracted increasing attention in environmental monitoring research. …”
Get full text

Optimization of deep learning architecture based on multi-path convolutional neural network algorithm by Chuan Zhou, Yan Liu, Xinghan An, Xiyao Xu, Hao Wang

“…Abstract Current multi-stream convolutional neural network (MSCNN) exhibits notable limitations in path cooperation, feature fusion, and resource utilization when handling complex tasks. …”
Get full text

RFID‐Based Enhanced Resource Optimization for 5G/6G Network Applications by Stella N. Arinze, Augustine O. Nwajana

“…This algorithm dynamically managed key network resources, including spectrum allocation, load balancing, and energy consumption, ensuring efficient operation under varying network conditions. …”
Get full text

Quantification Method of Driving Risks for Networked Autonomous Vehicles Based on Molecular Potential Fields by Yicheng Chen, Dayi Qu, Tao Wang, Shanning Cui, Dedong Shao

“…A multi-layer decoder–encoder long short-term memory (LSTM) network was employed to predict vehicle trajectories and establish a risk quantification model for vehicle-to-vehicle interaction behavior. …”
Get full text

Network Structure and Core Features of Cognitive Emotion Regulation Strategies in Chinese Adolescents with NSSI by Zhang P, Shi J

“…This study aims to investigate the CERS network structure in Chinese adolescents with NSSI through network analysis, identifying the core strategies within this network.Patients and Methods: A total of 2711 Chinese adolescents (50.5% female, mean age = 12.89 ± 0.73 years) were assessed using the CERQ. …”
Get full text

Concept of digital health literacy revisited: Using text network and topic model analysis by Jiyoung Park, Seohyun Won, Mingee Choi, Chul Hee Kang, Han Shi Jocelyn Chew

“…Text network analysis identified core keywords, and Latent Dirichlet Allocation (LDA) extracted dominant topics and their temporal evolution. …”
Get full text

Event-Triggered-Based Neuroadaptive Bipartite Containment Tracking for Networked Unmanned Aerial Vehicles by Bowen Chen, Boxian Lin, Meng Li, Zhiqiang Li, Xinyu Zhang, Mengji Shi, Kaiyu Qin

“…To handle unknown nonlinear dynamics under resource-limited scenarios, a novel event-triggered neural network (NN) approximation scheme is established where weight updating occurs only during event triggers, effectively decreasing computational resource occupation. …”
Get full text

PLFF-SLAM: A Point and Line Feature Fused Visual SLAM Algorithm for Dynamic Illumination Environments by Shucheng Huang, Wenhan Ren, Mingxing Li

“…Firstly, we designed a point feature extraction method based on the GCNV2 network, which improves the extraction performance of the point feature network by modifying the encoding layer structure and reconstructing the loss function. …”
Get full text

Causal Central Network Remodeling in Diabetic Neuropathy: An Integrated MR-fMRI Study by Li X, Gao L

“…For validation, amplitude of low-frequency fluctuation (ALFF) and functional connectivity (FC) analyses were conducted using rs-fMRI scans from DPN patients (n=16), diabetic controls without DPN (NDPN, n=24), and healthy controls (HC, n=20).Results: Bidirectional MR demonstrated that: (a) reduced default mode-visual network connectivity causally elevates DPN risk (OR=0.61, P=0.04); (b) DPN promotes subcortical-cerebellar hyperconnectivity (OR=1.04, P=0.01). …”
Get full text

Algorithms for Load Balancing in Next-Generation Mobile Networks: A Systematic Literature Review by Juan Ochoa-Aldeán, Carlos Silva-Cárdenas, Renato Torres, Jorge Ivan Gonzalez, Sergio Fortes

“…Research Question: An analysis of the existing literature on mobile network load balancing methods was conducted to identify systems that operate using semi-automatic, automatic and hybrid algorithms. …”
Get full text

Evaluating the effects of climate-induced heatwaves on the thermal dynamics and water quality of a deep reservoir in Portugal by Manuel Almeida, Senlin Zhu, Rita M. Cardoso, Pedro M.M. Soares, Pedro Coelho

Get full text

Hub-and-spoke network design to optimize government subsidy costs for maritime transportation in Indonesia by Windra Priatna Humang, Djoko Prijo Utomo, Hasriwan Putra, Dedy Arianto, Rutma Pujiwat, Sucipto, Dwi Phalita Upahita, Nur Fitriana, Maharani Almira Salsabilla, Yustina Niken Raharina Hendra, Asep Yayat Nurhidayat, Mega Novetrishka Putri, Mohamad Ivan Aji Saputro, Amelia Santoso, Ivan Kristianto Singgih, Dina Natalia Prayogo, Indri Hapsari, Olyvia Novawanda, Stefanus Soegiharto, Jerry Agus Arlianto

“…Cargo consolidation at hub ports enhances vessel utilization, minimizes empty return trips, and improves overall network efficiency. Moreover, transitioning from an annual subsidy framework to a voyage-based allocation system offers increased fiscal flexibility and responsivenes to dynamic operational conditions. …”
Get full text