Multi-sensor fusion and segmentation for autonomous vehicle multi-object tracking using deep Q networks by K. Vinoth, P. Sasikumar

“…The dense net-based multi-image fusion gives more efficiency and a high memory in terms of fast processing time. …”
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A Novel Dual-Channel Hybrid Attention Model for Wind Turbine Misalignment Fault Diagnosis by Tong Tong, Xiang Liu, Jia Zhang, Dian Long, Teng Fan, Xiangyang Zheng

“…The model innovatively introduces the multi-head attention mechanism (MHA) in the jump connection of the U-Net architecture to form hybrid U-Net and optimizes the feature fusion process with dynamically learnable weights, which significantly enhances the ability to capture local details and key fault features. …”
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Large-Scale Hyperspectral Image-Projected Clustering via Doubly Stochastic Graph Learning by Nian Wang, Zhigao Cui, Yunwei Lan, Cong Zhang, Yuanliang Xue, Yanzhao Su, Aihua Li

“…Therefore, our HPCDL has the ability to deal with large-scale HSI datasets. Experiments on three datasets demonstrate the superiority of our HPCDL for both clustering performance and the time burden.…”
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A novel ensemble ARIMA‐LSTM approach for evaluating COVID‐19 cases and future outbreak preparedness by Somit Jain, Shobhit Agrawal, Eshaan Mohapatra, Kathiravan Srinivasan

“…These findings have the potential to significantly improve preparedness and response efforts by public health authorities, allowing for more efficient resource allocation and targeted interventions.…”
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A Comparative Study of RANS and PANS Turbulence Models for Flow Characterization Around the Joubert BB2 Submarine by Changhun Lee, Hyeri Lee, Woochan Seok

“…The PANS model consistently outperformed RANS in accurately predicting total resistance and resolving wake asymmetry, especially at medium grid resolution, due to its ability to partially resolve turbulence without full reliance on eddy viscosity assumptions. …”
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Plant Disease Prognosis Using Spatial-Exploitation-Based Deep-Learning Models by Jayavani Vankara, Sekharamahanti S. Nandini, Murali Krishna Muddada, N. Satya Chitra Kuppili, K Sowjanya Naidu

“…In order to enable a prompt reaction, and perhaps a targeted pesticide application, the suggested method has the ability to provide the early diagnoses of plant vital health.…”
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TCE-YOLOv5: Lightweight Automatic Driving Object Detection Algorithm Based on YOLOv5 by Han Wang, Zhenwei Yang, Qiaoshou Liu, Qiang Zhang, Honggang Wang

“…In automatic driving systems, accurate and efficient object detection is essential to ensure driving safety and improve the driving experience. …”
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Synergistic effect of polymer and graphene oxide nanocomposite in heterogeneous layered porous media: a pore-scale EOR Study by M. Iravani, M. Simjoo, A. H. Molaei

“…Furthermore, increasing the GO concentration to 500 ppm led to an additional 8% oil recovery, potentially due to enhanced sweep efficiency and better passage through pore throats. …”
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Research on CTSA-DeepLabV3+ Urban Green Space Classification Model Based on GF-2 Images by Ruotong Li, Jian Zhao, Yanguo Fan

“…The model exhibits higher accuracy and provides efficient references for the intelligent interpretation of urban green space with high-resolution remote sensing images.…”
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Obesity impairs resistance to Leishmania major infection in C57BL/6 mice. by Vinicius Dantas Martins, Franciele Carolina Silva, Felipe Caixeta, Matheus Batista Carneiro, Graziele Ribeiro Goes, Lícia Torres, Sara Cândida Barbosa, Leonardo Vaz, Nivea Carolina Paiva, Cláudia Martins Carneiro, Leda Quercia Vieira, Ana Maria Caetano Faria, Tatiani Uceli Maioli

“…Peritoneal macrophages from obese mice were less efficient to kill L. major when infected in vitro than macrophages from control mice. …”
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Data-driven support for smart renewal of urban neighbourhoods by Spela VEROVSEK, Matevz JUVANCIC, Tadeja ZUPANCIC

“…To establish the described assessment model two main research pillars are addressed: 1) the development of the structured and modular system of indicators; and 2) the development of the methodology to interpret the resulting values (efficiency, ability and productivity on different levels of human activity). …”
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The Effect of Processing of Hempseed on Protein Recovery and Emulsification Properties by Anne Pihlanto, Markus Nurmi, Nora Pap, Jarkko Mäkinen, Sari Mäkinen

“…Germinated samples demonstrated a higher ability to stabilise emulsions (15-20%) than other pretreated samples. …”
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A telehealth exercise program to improve cognition in people with stroke by Gregory Thielman, Margaret Roos

“…In individuals with stroke, a telehealth exercise program, as described in this study, is safe and efficient in improving one’s ability to perform daily functional activities with dual tasking. …”
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Progress in Caking Mechanism and Regulation Technologies of Weakly Caking Coal by Zhaoyang Li, Shujun Zhu, Ziqu Ouyang, Zhiping Zhu, Qinggang Lyu

“…Efficient and clean utilization remains a pivotal development focus within the coal industry. …”
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Tea Disease Detection Method Based on Improved YOLOv8 in Complex Background by Junchen Ai, Yadong Li, Shengxiang Gao, Rongsheng Hu, Wengang Che

“…Experimental results show that the proposed YOLO-SSM algorithm has obvious advantages in accuracy and model complexity and can provide reliable theoretical support for efficient and accurate detection and identification of tea leaf diseases in natural scenes.…”
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Effect of serum inflammatory factors in predicting co‐infection with influenza viruses and Omicron by Chengli Zhang, Wei Wang, Xianglin Luo, Minggang Yin, Xiaolong Guo

“…The ROC curve results indicated that prealbumin was more efficient than CRP in identifying co‐infection from Omicron (AUC: 0.867 vs. 0.724) or Flu A/B (AUC: 0.797 vs. 0.730), and joint prediction significantly improved the diagnostic ability to discriminate co‐infection from mono‐infection (AUC: 0.934 and 0.887). …”
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360° Borescope with Adjustable LED Lighting: A Solution for Photogrammetry in Extremely Restricted Spaces by L. Barazzetti, M. Previtali, F. Roncoroni, R. Valente

“…The prototype is based on a panoramic camera and an integrated lighting LED system to allow for efficient image acquisition in small chambers where other documentation methods (like laser scanning and traditional photogrammetry) are not feasible due to space restrictions. …”
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Toward Reliable Post-Disaster Assessment: Advancing Building Damage Detection Using You Only Look Once Convolutional Neural Network and Satellite Imagery by César Luis Moreno González, Germán A. Montoya, Carlos Lozano Garzón

“…However, developing countries often face severe budgetary constraints and rely heavily on international support, limiting their ability to implement optimal disaster response strategies. …”
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Decoding Depression from Different Brain Regions Using Hybrid Machine Learning Methods by Qi Sang, Chen Chen, Zeguo Shao

“…This study provides a solid foundation for developing more efficient and portable methods for detecting depression, offering new perspectives and approaches for EEG-based MDD detection, and contributing to the improvement in objectivity and precision in depression diagnosis.…”
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Feasibility of International Commercial Arbitration for the Resolution of Environmental Disputes by Hadi Salehi, Ali Amiri, Artin Jahanshahi

“…The result is that due to the flexible structure of commercial arbitration and the ability to customize it compared to dispute resolution in national courts, resolving such disputes quickly and fairly through this means is more logical and efficient.…”
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