Technical countermeasures for deep pumping of highly deviated wells in deep reservoir by ZHANG Jin,TIAN Hongbo,HU Yuxin

“…At the same time, the dissatisfaction of the pump barrel aggravates the complexity and eccentric wear degree of the down-hole rod stress. …”
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Multi-Task Spiking Neural Network for Simultaneous Vapor Recognition and Concentration Estimation by Pedro Sartori Locatelli, Salma Ait Fares, Dalton Martini Colombo, Kamal El-Sankary, Michael S. Freund

“…This article not only addresses this gap but also introduces a simple three-layer, multi-task shared SNN that simultaneously performs vapor recognition and concentration estimation using carbon black-polymer composite sensor arrays. …”
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Corpus Development and NER Model for Identification of Legal Entities (Articles, Laws, and Sanctions) in Corruption Court Decisions in Indonesia by Edy Subowo, Imam Bukhori, warto

“…The NER model combines the IndoBERT (pre-trained language model) architecture with a CRF layer, fine-tuned to handle legal text complexities such as hierarchical article references (paragraphs, clauses) and amended laws citations (jo.). …”
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Optimized Purification Processes for Isolation and Modification of Oligosaccharides from Rathi Cow’s Milk by Desh Deepak A. P. Singh Chauhan, Sana Akhtar Usmani, Sarita Chauhan, Ashutosh Singh, Desh Deepak

“…Purification and characterization of milk oligosaccharides is a challenging process due to the complexity of the constituent oligosaccharides, which behave differently under various chemical treatment procedures and often lose their structural properties in the process. …”
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Challenges and constraints to the sustainability of poultry farming in Thailand by Sawitree Wongtangtintharn, Sudpradthana Chakkhambang, Padsakorn Pootthachaya, Anusorn Cherdthong, Metha Wanapat

“…Regulatory compliance, particularly in export markets, adds another layer of complexity, requiring Thai poultry producers to meet increasingly stringent international standards. …”
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Three‐Dimensional Probabilistic Hydrofacies Modeling Using Machine Learning by Nafyad Serre Kawo, Jesse Korus, Yaser Kishawi, Erin Marie King Haacker, Aaron R. Mittelstet

“…Abstract Characterizing the 3D distribution of hydraulic properties in glacial sediments is challenging due to fine‐scale heterogeneity and complexity. Borehole lithological data provide high vertical resolution but low horizontal resolution. …”
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A framework for the simulation of individual glycan coordinates to analyze spatial relationships within the glycocalyx by Sarah Fritsche, Sarah Fritsche, Leonhard Möckl, Leonhard Möckl, Leonhard Möckl, Leonhard Möckl

“…The glycocalyx is a dense and dynamic layer of glycosylated species that covers every cell in the human body. …”
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Extending Conflict-Based Search for Optimal and Efficient Quadrotor Swarm Motion Planning by Zihao Wang, Zhiwei Zhang, Wenying Dou, Guangpeng Hu, Lifu Zhang, Meng Zhang

“…Inspired by the decentralized planning and centralized conflict resolution ideas of CBS, we propose, for the first time, an optimal and efficient UAV swarm motion planner that integrates state lattice with CBS without any underlying assumption, named SL-CBS. SL-CBS is a two-layer search algorithm: (1) The low-level search utilizes an improved state lattice. …”
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Neural Network Models for Ionospheric Electron Density Prediction at a Fixed Altitude Using Neural Architecture Search by Yang Pan, Mingwu Jin, Shun‐Rong Zhang, Simon Wing, Yue Deng

“…The limited improvement of NAS is likely due to the network complexity and the limitation of fully connected NN without the time histories of input parameters.…”
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Analysis of prenatal diagnosis and pregnancy outcomes for rare autosomal trisomies detected by non-invasive prenatal testing in 33,079 cases by Xu Yan, Kai Ding, Xin Zhang, Shuai Zhang, Haiying Peng, Ying Zhang

“…However, its ability to detect rare autosomal trisomies has introduced a new layer of complexity and clinical uncertainty. Methods A retrospective analysis was conducted on the prenatal diagnostic results and pregnancy outcomes of cases identified as high-risk for rare autosomal trisomies through non-invasive prenatal testing at the reproductive medicine center, Renmin hospital, Hubei university of medicine, from 2015 to 2023. …”
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The analysis of sculpture image classification in utilization of 3D reconstruction under K-means++ by Xuhui Wang

“…After the final convolutional layer of ResNet50, a self-attention module is added. …”
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Leveraging autoencoder models and data augmentation to uncover transcriptomic diversity of gingival keratinocytes in single cell analysis by Pradeep Kumar Yadalam, Prabhu Manickam Natarajan, Carlos M. Ardila

“…The Basic AE effectively modeled RNA-seq data complexity compared to Variational and Denoising Autoencoders. …”
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Multi-heat keypoint incorporation in deep learning model to tropical cyclone centering and intensity classifying from geostationary satellite images by Thanh-Ha Do, Son-The Phan, Duc-Tien Du, Dinh-Quan Dang, Khanh-Hung Mai, Lars R. Hole

“…The multi-head keypoint design (MHKD) with the spatial attention mechanism (SAM) is fitted to the decoder layer using multi-resolution inputs from the encoder. …”
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Enhancing Unmanned Aerial Vehicle Object Detection via Tensor Decompositions and Positive–Negative Momentum Optimizers by Ruslan Abdulkadirov, Pavel Lyakhov, Denis Butusov, Nikolay Nagornov, Dmitry Reznikov, Anatoly Bobrov, Diana Kalita

“…However, the growing number and difficulty of such problems cause the developers to construct machine learning models with higher computational complexities, such as an increased number of hidden layers, epochs, learning rate, and rate decay. …”
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IMSBA: A Novel Integrated Sensing and Communication Beam Allocation Based on Multi-Agent Reinforcement Learning for mmWave Internet of Vehicles by Jinxiang Lai, Deqing Wang, Yifeng Zhao

“…Within this framework, MAPPO leverages vehicle perception data to dynamically optimize V2V beam steering and frequency selection, while the Stackelberg game reduces computational complexity through hierarchical decision-making and optimizes the joint power allocation among V2V users. …”
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Recycling of Multilayer Polymeric Barrier Films: an Overview of Recent Pioneering Works and Main Challenges by Hissein Bechibo Adam, Mohamed Yousfi, Abderrahim Maazouz, Khalid Lamnawar

“…Abstract Multilayer barrier flexible polymer films are gaining attention for their lightness and versatility, representing over 17% of global plastic packaging production, primarily in the food sector. However, their complex chemical composition and strong interlayer adhesion—due to the presence of tie layers pose significant recycling challenges. …”
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Stackable 3D-printed core-shell nozzle system for multi-shell fiber and microdroplet generation by Jianfeng Li, Peer Fischer

“…Microfluidics is increasingly utilized in biofabrication to create more complex fiber and droplet structures, including those that involve multiple materials. …”
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A Comprehensive Review on the Application of 3D Convolutional Neural Networks in Medical Imaging by Satyam Tiwari, Goutam Jain, Dasharathraj K. Shetty, Manu Sudhi, Jayaraj Mymbilly Balakrishnan, Shreepathy Ranga Bhatta

“…CNNs are particularly adept in automatically identifying complex patterns and features in pictures like X-rays, CT scans, and MRIs. …”
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Unveiling the intricacies of cardiac valve pathophysiology by Johannes H. Jedrzejczyk, Johannes H. Jedrzejczyk, Oline Hjertensgaard, Oline Hjertensgaard, Victor G. Puelles, Victor G. Puelles, Victor G. Puelles, J. Michael Hasenkam, J. Michael Hasenkam

“…All publications were screened by title and abstract, and potentially eligible articles were reviewed in full text to assess their relevance.ResultsCardiac valves comprise a complex, three-layered structure composed of an intricate network of cells. …”
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EMSAM: enhanced multi-scale segment anything model for leaf disease segmentation by Junlong Li, Quan Feng, Jianhua Zhang, Jianhua Zhang, Sen Yang

“…Both outputs of LFEM and GFEM are then effectively fused in the Feature Fusion Module (FFM), which is optimized with cross-branch and channel attention mechanisms, significantly enhancing the model’s ability to handle blurred boundaries and complex shapes. EMSAM integrates lightweight linear layers as classification heads and employs a joint loss function for both classification and segmentation tasks. …”
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