Lightweight Small Target Detection Algorithm Based on YOLOv8 Network Improvement by Xiaoyi Hao, Ting Li

“…Finally, the Std detection layer is integrated into YOLOv8n, thereby enhancing the model’s ability to accurately detect small targets. …”
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Increasing lipid accumulation in Chlamydomonas by serial knocking out of DYRKP1 kinase and ADP-glucose pyrophosphorylase by Minjae Kim, Ji Yeon Kim, Kyong Ha Han, Hyeon Ho Shin, EonSeon Jin

“…Overall, our study underscores the layered complexity of carbon partitioning in C. reinhardtii and the importance of context-dependent metabolic regulation in optimizing lipid production.…”
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A crop model based on dual attention mechanism for large area adaptive yield prediction by Wei Xiang, Long Long, Zichen Liu, Feng Dai, Yucheng Zhang, Hu Li, Lin Cheng

“…Next, we will integrate the features extracted from these two blocks and feed them into a multi-layer perceptron for yield prediction. We conducted experiments on soybean production and environmental data from 1045 soybean counties across 12 states in the United States from 1980 to 2018, covering 39 years. …”
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A Compact and Multi-Coupled MIMO Antenna System Applicable to Various Electronic Devices for Sub6 GHz Design by Ming-An Chung, Shang-Jui Huang, Chia-Chun Hsu, Chia-Wei Lin

“…This paper presents a multi-coupled Multiple-Input Multiple-Output (MIMO) antenna system designed for laptops, routers, and base stations, characterized by multi-band capability, compact size, low manufacturing complexity, cost efficiency, and broad applicability. …”
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User Handover Aware Hierarchical Federated Learning for Open RAN-Based Next-Generation Mobile Networks by Amardip Kumar Singh, Kim Khoa Nguyen

“…Firstly, MHORANFed simplifies the upper layer of the HFL training at edge aggregate servers, which reduces the model complexity and thereby improves the learning time and the resource usage cost. …”
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SwinD-Net: a lightweight segmentation network for laparoscopic liver segmentation by Shuiming Ouyang, Baochun He, Huoling Luo, Fucang Jia

“…Our model effectively reduces parameter count and computational complexity, improving the inference speed while maintaining comparable accuracy. …”
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Design of Big Data Intelligent Operation and Maintenance Platform for Urban Rail Transit Signaling System by ZHANG Chong, HUANG Mengtao, AI Xin

“…The application of this platform reduces data redundancy within the signaling system, simplifies the complexity of maintaining signal equipment information, enhances resource utilization, and improves the convenience for maintenance personnel in data reviewing.…”
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YOLO-HF: Early Detection of Home Fires Using YOLO by Bo Peng, Tae-Kook Kim

“…Existing studies and datasets predominantly focus on wildfire detection, with few datasets that capture the complexity of indoor environments and the subtle characteristics of early-stage fires. …”
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SDA-Mask R-CNN: An Advanced Seabed Feature Extraction Network for UUV by Yao Xiao, Dongchen Dai, Hongjian Wang, Chengfeng Li, Shaozheng Song

“…Second, a Depth-Weighted Hierarchical Fusion Network (DWHF-Net) incorporates depthwise separable convolution to minimize computational complexity while preserving model performance, which is particularly effective for high-resolution SSS image processing. …”
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Identification of Depression Patients Using LIF Spiking Neural Network Model From the Pattern of EEG Signals by Rekha Sahu, Prasant Kumar Pattnaik, Kalaiarasi Sonai Muthu Anbananthen, Saravanan Muthaiyah

“…But speed, accuracy, and reality with less time and space complexity are essential factors in detecting depression patients in our society. …”
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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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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

“…We design emergency stop motion primitives to ensure complete UAV dynamics and handle spatio-temporal constraints from high-level conflicts. (2) The high-level algorithm defines comprehensive conflict types and proposes a motion primitive conflict detection method with linear time complexity based on Sturm’s theory. Additionally, our modified independence detection (ID) technique is applied to enable parallel conflict processing. …”
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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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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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