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8621
Methods for Improving Point Cloud Authenticity in LiDAR Simulation for Autonomous Driving: A Review
Published 2025-01-01“…It also proposes future directions to bridge the gap between simulated and real-world data, aiming to optimize hybrid training models for improved autonomous driving applications.…”
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8622
Que mi dolor resida en tu cuerpo: mujeres, arte y desaparición forzada en México
Published 2025-01-01Get full text
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8623
Collaborative Multidepot Petrol Station Replenishment Problem with Multicompartments and Time Window Assignment
Published 2020-01-01“…To improve the system operational efficiency and reduce costs, we formulate and solve a collaborative multidepot petrol station replenishment problem with multicompartments and time window assignment by establishing a mixed-integer linear programming model. The hybrid heuristic algorithm composed of genetic algorithm and particle swarm optimization is used as a solution, and then the Shapley value method is applied to analyze the profit allocation of each petrol depot under different coalitions. …”
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8624
Dense Sandstone Material Decomposition Based on Improved Convolutional Neural Network
Published 2025-01-01“…The HD-SE attention mechanism is introduced in the decoder part to help the network recover the image features. Hybrid loss supervised network learning is used to improve the decomposition accuracy of the network. …”
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8625
Development of a New Modified Sonar Inspired Optimization based on Machine Learning Methods for Evaluating Compressive of High-Performance Concrete
Published 2024-11-01“…Comparison with previous studies validates the accuracy of the proposed system, demonstrating that the SIO-ANN hybrid model offers finer estimation of high-performance concrete properties. …”
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8626
MAAT: a new nonparametric Bayesian framework for incorporating multiple functional annotations in transcriptome-wide association studies
Published 2025-02-01“…Abstract Transcriptome-wide association study (TWAS) has emerged as a powerful tool for translating the myriad variations identified by genome-wide association studies (GWAS) into regulated genes in the post-GWAS era. …”
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8627
GKRR: A gravitational-based kernel ridge regression for software development effort estimation
Published 2022-11-01“…Gravitational Search Algorithm (GSA) is a metaheuristic method that seeks to find the optimal solution in complex optimization problems among a population of solutions. In this article, a hybrid GSA algorithm is presented that combines Binary-valued GSA (BGSA) and the real-valued GSA (RGSA) in order to optimize the KRR parameters and select the appropriate subset of features to enhance the estimation accuracy of SDEE. …”
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8628
Bioaccessibility In Vitro of Nutraceuticals from Bark of Selected Salix Species
Published 2014-01-01“…The aim of this study was to investigate and to compare the extractability, bioaccessibility, and bioavailability in vitro of antioxidative compounds from bark of selected Salix species: S. alba (SA), S. daphnoides (SD), S. purpurea (SP), and S. daphnoides x purpurea (SDP) hybrid willow clones originating from their natural habitats and cultivated on the sandy soil. …”
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8629
Novel Heronian mean based $ m $-polar fuzzy power geometric aggregation operators and their application to urban transportation management
Published 2024-12-01“…The presented operators consisted of the weighted $ m $F power GGHM (W$ m $FPGGHM), ordered weighted $ m $F power GGHM averaging (OW$ m $FPGGHM), and hybrid $ m $F power GGHM (H$ m $FPGGHM) operators. …”
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8630
Atatürk Dönemi Dış Politikasında Barış İlkesinin Uygulanmasına Bir Örnek: İspanya İç Savaşı
Published 2022-06-01“…In case of the most serious issue of the Civil War, that is the refugees, she decided to solve the problem of the Spanish Nationalist refugees in Madrid that took refuge in Turkey in line with her political tradition and took steps in the direction of bringing them to Turkey in 1937. …”
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8631
GATFELPA integrates graph attention networks and enhanced label propagation for robust community detection
Published 2025-01-01“…To address these challenges, we propose GATFELPA, a hybrid community detection model that combines a Graph Attention Network (GAT) with an enhanced label propagation algorithm (DPCELPA). …”
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8632
Les recompositions territoriales de l’action publique à l’aune de la proximité
Published 2010-11-01“…However, a growing number of hybrid networks, involving searchers and urban developers, are favouring local source control “cultures”.…”
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8633
Development of a Territorial Planning Model of Wind and Photovoltaic Energy Plants for Self-Consumption as a Low Carbon Strategy
Published 2021-01-01“…The aim of the present study is to develop a hybrid territorial planning model for the siting of areas suitable for the joint exploitation of wind and solar energy targeted principally at self-consumption. …”
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8634
We Need to Talk About Mining in the Arctic
Published 2024-12-01“…The Arctic encompasses a myriad of ecosystems, transcending borders between nations and cultures. …”
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8635
Percepción social y salud mental de las personas sin hogar en la provincia de Almería.
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8636
Developing donors of ultra-early maturity in barley
Published 2020-12-01“…The donors Kibel, Kibel uluchshenny, Kibtsel and Kibkor were obtained through individual selection of barley forms combining earliness and productivity from the hybrid combination Belogorsky × k-15881. The experiments were carried out according to the approved guidelines. …”
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8637
Predicting the urban water demand by equipping intelligent-based methods with discrete wavelet transform function
Published 2025-01-01“…For this purpose, a dataset of temperature, precipitation, humidity, and daily water value of Najaf-Abad city in Iran is used during year 2014 to 2019. Here, hybrid models named W-GEP, W-GP, W-ANN, are proposed by equipping GEP, GP, and ANN with a wavelet transform function. …”
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8638
Research on vehicle feature recognition algorithm based on optimized convolutional neural network
Published 2023-10-01“…To address the issue of weak identification and low accuracy in recognizing features of target vehicles at different distances in road scene images, a vehicle feature recognition algorithm based on optimized convolutional neural network (CNN) was proposed.Firstly, a multi-scale input based on the PAN model was employed to capture target vehicle features at varying distances.Subsequently, improvements were made to the network model by incorporating multi-pool, batch normalization (BN) layers, and Leaky ReLU activation functions within the CNN architecture.Furthermore, the generalization ability of the network model was enhanced by introducing a hybrid attention mechanism that focuses on important features and regions in the vehicle image.Lastly, a multi-level CNN structure was constructed to achieve feature recognition for vehicles.Simulation experiment results conducted on the BIT-Vehicle database within a single scene show the proposed algorithm’s significant enhancements in single-object and multi-object recognition rates compared to CNN, R-CNN, ABC-CNN, Faster R-CNN, AlexNet, VGG16, and YOLOV8.Specifically, improvements of 16.75%, 10.9%, 4%, 3.7%, 2.46%, 1.3%, and 1% in single-object recognition, as well as 17.8%, 10.5%, 2.5%, 3.8%, 2.7%, 1.1%, and 1.3% in multi-object recognition, have been demonstrated by the proposed algorithm, respectively.Over the more complex UA-DETRAC datasets, more precise results have been also achieved by the proposed algorithm in recognizing target vehicles at various distances compared to other algorithms.…”
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8639
A Novel Efficient Passive Spatial Orientation Detection Method of UMT Enabled by ISB
Published 2020-01-01“…As a supplement to solutions against complex underwater environments, a hybrid ECOD method is also developed by involving the cooperation from underwater distributed sensor networks. …”
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8640
Effect of Caesalpinia decapetala on the Dry Sliding Wear Behavior of Epoxy Composites
Published 2023-01-01“…The grey relational analysis- (GRA-) coupled artificial neural network (ANN) hybrid technique was employed for the prediction and validation. …”
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