Occlusion Vehicle Target Recognition Method Based on Component Model by Haorui Han, Hanshan Li

“…Based on the U-net codec structure, combining multi-scale detection and double constraints loss to improve the visual region segmentation under complex background (VSRS) performance. …”
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Towards sustainable architecture: Enhancing green building energy consumption prediction with integrated variational autoencoders and self-attentive gated recurrent units from mult... by Qing Zeng, Fang Peng, Xiaojuan Han

“…The framework incorporates self-attention mechanisms and Multi-Task Learning (MTL) strategies to capture long-term dependencies and complex patterns in energy consumption time series data, while simultaneously optimizing prediction accuracy and anomaly detection. …”
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Deep Learning Model for Feature Extraction and Anomaly Recognition in High-Dimensional Energy Metering Data by Huakun Que, Zetao Jiang, Zhifeng Zhou, Yongsheng He, Xin Liu

“…Abnormal energy usage in buildings and industries, often caused by system malfunctions, leads to substantial energy waste. Detecting such anomalies is essential for cost control and efficient energy management. …”
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Decoding burn trauma: biomarkers for early diagnosis of burn-induced pathologies by Fadi Khalaf, Daniella Touma, Alexandra Pappas, Lareina Hatim, Stephanie Wojtowicz-Piotrowski, Marc G. Jeschke

“…Abstract Burn injuries represent a significant global challenge due to their multifaceted nature, characterized by a complex cascade of metabolic and immune dysfunction that can result in severe complications. …”
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A novel YOLO LSTM approach for enhanced human action recognition in video sequences by Mahmoud Elnady, Hossam E. Abdelmunim

“…Additionally, this approach effectively handles challenges such as occlusions, varying illumination, and complex backgrounds, making it suitable for real-world applications. …”
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Environmental Applications of Mass Spectrometry for Emerging Contaminants by Anil Kumar Meher, Akli Zarouri

“…Addressing these challenges necessitates advanced analytical tools capable of detecting and quantifying trace levels of ECs in complex environmental matrices. …”
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Enhancing Privacy by Large Mask Inpainting and Fusion-Based Segmentation in Street View Imagery by Mahdi Khourishandiz, Abdollah Amirkhani

“…Our approach integrates semantic segmentation with 2D priors and multimodal data from cameras and LiDAR to achieve precise object detection in complex urban scenes. Detected regions are seamlessly filled using a large-mask inpainting technique based on fast Fourier convolutions (FFC), enabling efficient generalization to high-resolution imagery. …”
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Sparse Feature-Weighted Double Laplacian Rank Constraint Non-Negative Matrix Factorization for Image Clustering by Hu Ma, Ziping Ma, Huirong Li, Jingyu Wang

“…Consequently, the SFLRNMTF approach becomes more robust in capturing data patterns and achieving high-quality clustering results in complex datasets. We also propose an efficient alternating iterative update algorithm to optimize the proposed model and provide a theoretical analysis of its performance. …”
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ForestAlign: Automatic forest structure-based alignment for multi-view TLS and ALS point clouds by Juan Castorena, L. Turin Dickman, Adam J. Killebrew, James R. Gattiker, Rod Linn, E. Louise Loudermilk

“…Our co-registration approach employs an incremental alignment strategy, grouping and aggregating 3D points based on increasing levels of structural complexity. This strategy aligns 3D points from less complex (e.g., ground surface) to more complex structures (e.g., tree trunks/branches, foliage) sequentially, refining alignment iteratively. …”
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Eye-hand coordination during upper limb motor tasks in individuals with or without a neurodevelopmental disorder: a systematic review by Manel Abid, Manel Abid, Isabelle Poitras, Isabelle Poitras, Martine Gagnon, Catherine Mercier, Catherine Mercier

“…Eye-hand coordination temporal pattern did not differ between individuals with and without NDD in simple tasks involving direct pointing at a single stationary target. In the case of more complex tasks in terms of visuomotor and/or cognitive integration, especially for the more complex manipulation or sequential movements, individuals with NDD exhibited significantly different behaviors, with larger temporal gaps between the timing of eyes movement relative to that of the hand and more reliance on visual monitoring of hand movements.ConclusionThe results of this systematic review suggest that individuals with NDD face significant challenges in efficiently integrating visual and motor information during UL tasks that are visually, cognitively and/or physically more demanding, with more reliance on visual feedback control. …”
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Cooperative Spectrum Sensing for Cognitive Heterogeneous Networking Using Iterative Gauss-Seidel Process by Haleh Hosseini, Kaamran Raahemifar, Sharifah Kamilah Syed Yusof, Alagan Anpalagan

“…ROC curves are depicted using the achieved probability of detection and false alarm by numerical examples to illustrate the efficiency of the proposed algorithm. …”
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Chitosan-encapsulated linoleic acid from Leucaena leucocephala (Lam.) de Wit. inhibits FOXL2 mutation in MNU-induced ovarian granulosa cell tumors in Wistar rats by Cletus Anes Ukwubile, Hassan Braimah Yesufu, Roland Nnaemeka Okoro, Ahamefula Anslem Ahuchaogu, Blessing Ogechukwu Umeokoli, Matthew Onyema Agu, Nnamdi David Menkiti, Patrick Akoji Ida

“…Gel retardation assay showed efficient complexation between LACS2 and FOXL2 gene, with maximum complex formation (86.22 ± 2.04 %) observed at 32 mg chitosan and 8 mg FOXL2. …”
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Will Artificial Intelligence Replace Physicians or Augment Their Capabilities? by Sara Rahmati Roodsari, Alireza Zali, Mohammad Rahmati-Roodsari, Behina Forouzanmehr

“…This has made possible the detection and measurement of pathological changes in macular and retinal pathologies. …”
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Overview of Deep Learning Algorithms and Optimizers for Brain Tumor Segmentation by Nisha Purohit, Chandi Prasad Bhatt

“…Achieved high segmentation accuracy in brain tumor detection, outperforming traditional methods with improved Dice scores, precision, and computational efficiency. …”
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Deriving Early Citrus Fruit Yield Estimation by Combining Multiple Growing Period Data and Improved YOLOv8 Modeling by Menglin Zhai, Juanli Jing, Shiqing Dou, Jiancheng Du, Rongbin Wang, Jichi Yan, Yaqin Song, Zhengmin Mei

“…Early crop yield prediction is a major challenge in precision agriculture, and efficient and rapid yield prediction is highly important for sustainable fruit production. …”
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Research on Apple Recognition and Localization Method Based on Deep Learning by Zhipeng Zhao, Chengkai Yin, Ziliang Guo, Jian Zhang, Qing Chen, Ziyuan Gu

“…Currently, during apple picking in complex environments, it is difficult to classify and identify the growth pattern of an apple and obtain information on its attitude synchronously. …”
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Current Tasks in Identifying Invalid Events in Critical Information Infrastructure by D. A. Evdokimova, A. A. Mikryukov

“…Problems related to large data volumes, the complexity of event processing, the considerable time required for their detection, and technological limitations were considered. …”
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Radiofrequency Technologies of Local Positioning in Healthcare by D. S. Bragin, I. V. Pospelova, I. V. Cherepanova, V. N. Serebryakova

“…Given this, it is necessary to use complex algorithms to detect an object with accuracy to a specific room. …”
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Comparative study of rK39 Leishmania antigen for serodiagnosis of visceral leishmaniasis: systematic review with meta-analysis. by Zuinara Maia, Monique Lírio, Sóstenes Mistro, Carlos Maurício Cardeal Mendes, Sanjay R Mehta, Roberto Badaro

“…<h4>Background</h4>The rK39 recombinant protein is derived from a specific antigen produced by the Leishmania donovani complex, and has been used in the last two decades for the serodiagnosis of visceral leishmaniasis. …”
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A Mobile LiDAR-Based Deep Learning Approach for Real-Time 3D Body Measurement by Yongho Jeong, Taeuk Noh, Yonghak Lee, Seonjae Lee, Kwangil Choi, Sujin Jeong, Sunghwan Kim

“…Although some models showed error rates of 7.8% and 7.4% in hip circumference measurements, this was attributed to the complexity of 3D structures and the challenges in selecting keypoint locations. …”
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