Optimization of particle filter tracking algorithm based on weakly supervised attribute learning by Hui Zhang, Dawang Shen

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Reconfigurable and Scalable Artificial Intelligence Acceleration Hardware Architecture With RISC-V CNN Coprocessor for Real-Time Seizure Detection by Shuenn-Yuh Lee, Ming-Yueh Ku, Sing-Yu Pan, Chou-Ching Lin

“…This algorithm includes a simplified signal preprocessor and a nearly optimized convolutional neural network (CNN). This study also proposes an artificial intelligence acceleration (AIA) hardware architecture, including a deep learning accelerator (DLA) and a two-stage reduced instruction set computer-V (RISC-V) central control unit (CPU), to implement the detection algorithm in real-time operation. …”
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Optimization and Trends in EV Charging Infrastructure: A PCA-Based Systematic Review by Javier Alexander Guerrero-Silva, Jorge Ivan Romero-Gelvez, Andrés Julián Aristizábal, Sebastian Zapata

“…This systematic review analyzes recent research on EV charging network planning, with a particular focus on optimization techniques, machine learning applications, and sustainability integration. …”
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Thermal Error Prediction in High-Power Grinding Motorized Spindles for Computer Numerical Control Machining Based on Data-Driven Methods by Quanhui Wu, Yafeng Li, Zhengfu Lin, Baisong Pan, Dawei Gu, Hailin Luo

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LDAM: A lightweight dual attention module for optimizing automotive malware classification by Jiahui Chen, Mingrui Wu, Huiwu Huang

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AI-Driven Optimization of Breakwater Design: Predicting Wave Reflection and Structural Dimensions by Mohammed Loukili, Soufiane El Moumni, Kamila Kotrasova

“…Two datasets of 32,000 data points were generated for underwater and free-surface breakwaters, with an additional 10,000 data points for validation, totaling 42,000 data points per case. …”
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Application of Machine Learning for Bulbous Bow Optimization Design and Ship Resistance Prediction by Yujie Shen, Shuxia Ye, Yongwei Zhang, Liang Qi, Qian Jiang, Liwen Cai, Bo Jiang

“…The coordinates of the control points of the NURBS surface at the bulbous bow are taken as the design variables. …”
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An Optimization Model for Harmonic Parameters Estimation of Transmission Lines Using Phasor Measurements by Leticia L. S. de Sousa, Igor D. Melo, Carlos A. Duque, Candida A. Meneghin, Paulo F. Ribeiro

“…For other harmonic orders, impedances can be measured at specific points in the electric network using a frequency scan approach. …”
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Analysis of Energy Consumption in a Federated Learning-Based Zero-Touch Network by Urooj Yousuf Khan, Musharaf Ali Talpur, Umme Laila, Samar Raza Talpur

“…A pivotal point in Zero-Touch Networks is the selection of an optimal machine-learning algorithm. …”
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Design of Network Security Anomaly Detection Model Based on SLNA Cell Structure by Guiling Fan, Shaojun Chen

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Causality-aware graph neural networks for functional stratification and phenotype prediction at scale by Charalampos P. Triantafyllidis, Ricardo Aguas

“…We then tailor GNNs to classify each network as a single data point at graph-level, using various node embeddings and edge attributes. …”
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Evaluation of Network Design and Solutions of Fisheye Camera Calibration for 3D Reconstruction by Sina Rezaei, Hossein Arefi

“…The robust calibration solution is a two-step calibration process, including a pre-calibration stage and the consideration of the best possible network design. Fisheye undistortion was performed using OpenCV, and finally, calibration parameters were optimized with self-calibration through bundle adjustment to achieve both calibration parameters and 3D reconstruction using Agisoft Metashape software. …”
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VHR Multispectral Satellite Image Classification with Kolmogorov-Arnold Networks for Urban Applications by M. Fawzy, M. Fawzy, Á. Barsi

“…The Kolmogorov-Arnold Network (KAN) is a computational framework rooted in the Kolmogorov-Arnold representation theorem, which states that any continuous function of multiple variables can be expressed as a superposition of univariate functions. …”
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Prediction on the Seasonal Behavior of Hydrogen Sulfide Using a Neural Network Model by Byungwhan Kim, Joogong Lee, Jungyoung Jang, Dongil Han, Ki-Hyun Kim

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A tailored deep learning approach for early detection of oral cancer using a 19-layer CNN on clinical lip and tongue images by Pinjie Liu, Kambiz Bagi

“…This research introduces a custom-designed, 19-layer convolutional neural network (CNN) for the automated diagnosis of oral cancer using clinical images of the lips and tongue. …”
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Beam Discovery Signal-Based Beam Selection in Millimeter Wave Heterogeneous Networks by Bo Yin, Yanbo Chen, Zufan Zhang, Mengjun Wang, Shaohui Sun

“…In addition, in mmWave heterogeneous networks with densely deployed small cells, strong interference beams are determined through inter-cell cooperation, and orthogonal codes are allocated to the optimal beams and strong interference beams to reduce beam interference from adjacent cells. …”
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PoseAlign network for hybrid structure in 2D human pose estimation by Jin Zhang, Yabo Yin, Wenzhong Yang, Doudou Ren, Danny Chen

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An improved lightweight tiny-person detection network based on YOLOv8: IYFVMNet by Fan Yang, Lihu Pan, Hongyan Cui, Linliang Zhang

“…This operation also reduces the computational cost by decreasing the amount of required feature map channels, while maintaining the effectiveness of the feature representation. (3) he Minimum Point Distance Intersection over Union loss function is employed to optimize bounding box detection during model training. (4) to construct the overall network structure, the Layer-wise Adaptive Momentum Pruning algorithm is used for thinning.ResultsExperiments on the TinyPerson dataset demonstrate that IYFVMNet achieves a 46.3% precision, 30% recall, 29.3% mAP50, and 11.8% mAP50-95.DiscussionThe model exhibits higher performance in terms of accuracy and efficiency when compared to other benchmark models, which demonstrates the effectiveness of the improved algorithm (e.g., YOLO-SGF, Guo-Net, TRC-YOLO) in small-object detection and provides a reference for future research.…”
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Remote Sensing Surveillance Using Multilevel Feature Fusion and Deep Neural Network by Laiba Zahoor, Haifa F. Alhasson, Mohammed Alnusayri, Mohammed Alatiyyah, Dina Abdulaziz Alhammadi, Ahmad Jalal, Hui Liu

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Optimal Location through Distributed Algorithm to Avoid Energy Hole in Mobile Sink WSNs by Li Qing-hua, Gui Wei-hua, Chen Zhi-gang

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