Analysis of the Impact of Speed Trajectory Optimization on Energy Consumption During Highway Merging by Liyue Yang, Dohyun Park, Shaowen Lyu, Tacksu Kim, Namwook Kim

“…In this study, we address the problem of integrating the vehicle powertrain characteristics and speed optimization of merging control. …”
Get full text

A novel hybrid model based on MPA-VMD, QRMGM and KDE for carbon price prediction by Dabin Zhang, Yufeng Ye, Yongmei Fang, Jing Zhou

“…Thirdly, the MGM was integrated with quantile regression (QR) to predict the conditional quantiles of each subsequence. …”
Get full text

LUNA: Loss-Construct Unsupervised Network Adjustment for Low-Dose CT Image Reconstruction by Ritu Gothwal, Shailendra Tiwari, Shivendra Shivani

“…., simultaneous algebraic reconstruction technique (SART), and integrates the image prior i.e., weighted total variation (WTV) regularization within the Deep CNN model. …”
Get full text

SORA: Energy-Efficient Resource Allocation in Open Radio Access Network With Online Learning by Aerman Tuerxun, Akihiro Nakao

“…Our approach is designed to operate with minimal assumptions about the network environment, making it highly adaptable to both stationary and dynamic conditions. By integrating variational inference with Thompson Sampling, the framework efficiently balances exploration and exploitation, allowing dynamic adjustment of MCS and PRB allocations in response to changing network states. …”
Get full text

From Topology Optimization to Complex Digital Architecture: A New Methodology for Architectural Morphology Generation by Kangqiang Lin, Yongpeng He, Yang Yang, Lei Xiong

“…Although numerous architects have tried to apply topology optimization tools to assist architectural morphology design in practical projects, topology optimization, like other quantitative analysis techniques, has not been systematically incorporated into the architectural morphology design. In this study, by integrating topology optimization toolsets and parametric design theory, combined with multiattribute decision-making analysis, a design method is proposed that could efficiently obtain several architectural structural architectural morphologies with both structural rationality and aesthetic rules and complete the evaluation and performance ranking of alternatives. …”
Get full text

VAE-Based Real-Time Anomaly Detection Approach for Enhanced V2X Communication Security by Yonas Teweldemedhin Gebrezgiher, Sekione Reward Jeremiah, Stefanos Gritzalis, Jong Hyuk Park

“…This paper proposes a real-time anomaly detection framework that integrates the reconstruction capabilities of Variational Autoencoders (VAEs) with the feature extraction power of Convolutional Neural Networks (CNNs). …”
Get full text

The Kernel Density Estimation Technique for Spatio-Temporal Distribution and Mapping of Rain Heights over South Africa: The Effects on Rain-Induced Attenuation by Yusuf Babatunde Lawal, Pius Adewale Owolawi, Chunling Tu, Etienne Van Wyk, Joseph Sunday Ojo

“…The kernel density estimation (KDE) method was applied to estimate the temporal variation of rain height. …”
Get full text

Magnetic Induction Spectroscopy-Based Non-Contact Assessment of Avocado Fruit Condition by Tianyang Lu, Adam D. Fletcher, Richard John Colgan, Michael D. O’Toole

“…Through this approach, the sample set was classified into three categories, each corresponding to distinct conductivity variation patterns.…”
Get full text

Image small target detection in complex traffic scenes based on Yolov8 multiscale feature fusion by Xuguang Chai, Meizhi Zhao, Jing Li, Junwu Li

“…Initially, building upon the YOLOv8 detection framework, an attention mechanism module is integrated for novel adaptive feature assimilation and redistribution. …”
Get full text

DESIGN AND ANALYSIS OF A HIGH-EFFICIENCY PERMANENT MAGNET SYNCHRONOUS MOTOR FOR ELECTRIC THREE-WHEELER APPLICATION by M. Balakarthikeyan, B. Mohana Segaran, M. M. Sugundan, M. Saravanan

“…This study presents the design and analysis of a Permanent Magnet Synchronous Motor (PMSM) for an electric vehicle drivetrain, focusing on a rear-axle mounted motor with a two-speed variation. The motor was developed and optimized using Finite Element Method (FEM) 2D simulations, integrating theoretical and analytical calculations. …”
Get full text

Fixation and Expansion Microscopy of Xenopus Egg Extract Spindles by Gabriel Guilloux, Maiko Kitaoka, Karel Mocaer, Claire Heichette, Laurence Duchesne, Rebecca Heald, Thierry Pecot, Romain Gibeaux

“…Our method retains the fluorescence of rhodamine tubulins added to the extracts and allows for both pre- and post-expansion immunofluorescence analysis.…”
Get full text

Enhanced melanoma and non-melanoma skin cancer classification using a hybrid LSTM-CNN model by Sara M. M. Abohashish, Hanan H. Amin, E. I. Elsedimy

“…This paper presents a novel approach for the automatic identification of cutaneous lesions by integrating convolutional neural networks (CNNs) with long short-term memory (LSTM) networks. …”
Get full text

Chemometric analysis of ethoxylated polymer products using extracted MALDI-TOF-MS peak distribution features. by Elizabeth Dickinson, Richard N Cawthorne, Peter Dodds, Graham M Atkinson, Pablo F García Thomas, Lucy Jones, Molly Crosbie, Janet Cook, Julie Wilson

“…Crucially, we weight the extracted features, so that features from a distribution with a high ratio to the main distribution are given more importance ('ratio-scaled'). We exemplify the method by characterizing the structural variation between types of compositionally diverse Polysorbate 80, PEG castor oil and Oleth-20, and compare the chemometric analysis using our extracted features with analysis of the full spectra. …”
Get full text

Study on the effect of humidity on coal mine dust concentration monitoring and its compensation strategy by ZHANG Anran

“…A humidity compensation experimental model was developed and integrated into a light-scattering dust concentration monitoring unit with multiple angles. …”
Get full text

GENETIC ALGORITHM-PID CONTROLLER FOR MODEL ORDER REDUCTION PANTOGRAPHCATENARY SYSTEM by Nasir A. Al-Awad, Izz K. Abboud, Muaayed F. Al-Rawi

“…Then, the usage of Genetic Algorithm with Proportional-Integral-derivative (G.A-PID) as proposed controller appeared optimum response where, the contacts force consequences to be virtually equal to its steady reference. …”
Get full text

Introducing multiple factor analysis (MFA) as a diagnostic taxonomic tool complementing principal component analysis (PCA) by L. Lee Grismer

“…If more than one data type is used in a PCA, the output may be biased by the data type with the largest amount of variation or statistical variance. Also discussed is the necessity of using a non-parametric permutation of analysis of variance (PERMANOVA)—or a similar analysis—as a robust, statistically defensible method for assessing the significance of OTU plot positions as opposed to subjective visual interpretations.…”
Get full text

Spatiotemporal Fusion of Multi-Temporal MODIS and Landsat-8/9 Imagery for Enhanced Daily 30 m NDVI Reconstruction: A Case Study of the Shiyang River Basin Cropland (2022) by Peiwen Mu, Fei Tian

“…This study introduces an NDVI reconstruction method combining Savitzky–Golay filtering with the variation-based spatiotemporal data fusion model to produce a high-resolution daily NDVI dataset for SRB cropland in 2022, with a 30 m spatial resolution. …”
Get full text

APM-SLAM: Visual localization for fixed routes with tightly coupled a priori map by Linsong Xue, Qi Luo, Kai Zhang

“…The localization process integrates coarse-to-fine matching with Maximum A Posteriori (MAP) Probability estimation to refine pose accuracy. …”
Get full text

Load Prediction Based on Hybrid Model of VMD-mRMR-BPNN-LSSVM by Gang Zhang, Hongchi Liu, Pingli Li, Meng Li, Qiang He, Hailiang Chao, Jiangbin Zhang, Jinwang Hou

“…In order to improve the prediction accuracy, this paper proposes a load forecasting method based on variational mode decomposition (VMD) and feature correlation analysis. …”
Get full text

Infrared Small Target Detection Based on Compound Eye Structural Feature Weighting and Regularized Tensor by Linhan Li, Xiaoyu Wang, Shijing Hao, Yang Yu, Sili Gao, Juan Yue

“…Furthermore, to improve detection speed, the structural tensor of the effective imaging region in infrared compound eye images is reconstructed, and the Representative Coefficient Total Variation method is employed to avoid complex singular value decomposition and regularization optimization computations. …”
Get full text