Analysis of the capabilities of an information system for improving sleep quality based on biometric data analysis by M.S. Graf, A.V. Yakoniuk, D.V. Krant, I.I. Golovach

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Strategic Spatial Segregation in Silicon Photoelectrodes: Decoupling Catalytic and Optical Functions for High‐Efficiency Solar Water Splitting by Soohyeok Park, Dongho Seo, Sangbeom Hong, Geonhwi Kim, Yejin Han, Inkyeong Park, Seongmin Lee, Min‐Joon Park, Ki Min Nam, Han‐Don Um

“…Furthermore, a scalable fabrication strategy is developed utilizing controlled wet etching and selective catalyst deposition, enabling precise realization of these complex architectures. This spatial segregation strategy presents a new direction for high‐efficiency PEC systems, offering broader implications for various solar energy conversion applications.…”
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Attention-Based Target Detection–You Only Look Once: A Detection Model for <i>Locusta migratoria</i> ssp. <i>manilensis</i> in Complex Environments by Peng Wang, Jiandong Fang, Xiuling Wang, Yudong Zhao

“…At the same time, the number of parameters and computational complexity are reduced by 27.4% and 22.9%, showing that this provides an efficient solution for real-time monitoring of locusts.…”
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Dynahead-YOLO-Otsu: an efficient DCNN-based landslide semantic segmentation method using remote sensing images by Zheng Han, Bangjie Fu, Zhenxiong Fang, Yange Li, Jiaying Li, Nan Jiang, Guangqi Chen

“…This is achieved by locating potential landslide regions in advance using the ODD-based Dynahead-YOLO model, which enhances the capacity for detecting landslides with variable proportions and complex background in the images. …”
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LitePipeNet: Research on a Lightweight and Efficient Segmentation Model for UAV Pipeline Inspection in Mining Areas by Huang Yong, Xiao Shengwang, Xia Xing, Huang Qiu

“…In response to the challenges of UAV-based pipeline inspection in mining areas&#x2014;including difficulties in small object detection, limited adaptability to complex environments, and constraints on efficient edge deployment&#x2014;this paper proposes LitePipeNet, a lightweight segmentation model tailored for edge computing. …”
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Efficient Stereo Visual Odometry on FPGA Featuring On-Chip Map Management and Pipelined Descriptor-Based Block Matching by Yuki Ichikawa, Kazushi Kawamura, Masato Motomura, Thiem van Chu

“…These irregular patterns arise from the dynamic and non-uniform nature of feature detection, stereo matching, and map management, which vary significantly with scene complexity and camera movement. …”
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Prototyping a graph-based approach for efficient vehicle tracking in a cluster controlled CCTV surveillance systems by Apurva NARAYAN, Charumathi PARIVALLAL, Olirva MAHESWARAN, Sarath CHANDRAN KALATHILPARAMBIL RAMACHANDRAN

“…Utilizing algorithms like YOLO for object detection, the system ensures an accurate and efficient monitoring across multiple surveillance nodes. …”
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The analysis of influence of temperature conditions of piston long-stroke compressor stage on thermodynamic efficiency of a heat pump by V. L. Yusha, A. Yu. Gromov, P. V. Ushakov

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Energy Efficiency Maximization in RISs-Assisted UAVs-Based Edge Computing Network Using Deep Reinforcement Learning by Chuanwen Luo, Jian Zhang, Jianxiong Guo, Yi Hong, Zhibo Chen, Shuyang Gu

“…Edge Computing (EC) pushes computational capability to the Terrestrial Devices (TDs), providing more efficient and faster computing solutions. Unmanned Aerial Vehicles (UAVs) equipped with EC servers can be flexibly deployed, even in complex terrains, to provide mobile computing services at all times. …”
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MoNetViT: an efficient fusion of CNN and transformer technologies for visual navigation assistance with multi query attention by Liliek Triyono, Liliek Triyono, Rahmat Gernowo, Prayitno

“…Experiments show MoNetViT outperforms other semantic segmentation algorithms in efficiency and effectiveness, particularly in detecting Aruco markers, making it a promising tool to improve navigation aids for the visually impaired.…”
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Spectral Efficiency Improved 2D-PAM8 Trellis Coded Modulation for Short Reach Optical System by Yan Fu, Meihua Bi, Da Feng, Xin Miao, Hao He, Weisheng Hu

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Efficiency of three dimension Au–MnO2 nanostructure as visible adsorption based detector of histamine sensing by Siti Febtria Asrini Sugito, Mochamad Zakki Fahmi, Miratul Khasanah, Septianti Putri Sophiar, Jia-yaw Chang, Gasidit Panomsuwan

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A novel sodium Iron silicate composite with chitosan for efficient removal of Cd(II) ions from water by Mohamed S. Kamel, Ehab A. Abdelrahman, Zinab M. Anwar, Samir M. El Rayes, Mortaga M. Abou-Krisha, Raed M. Hegazey, Hanan Alhussain

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π-PrimeNovo: an accurate and efficient non-autoregressive deep learning model for de novo peptide sequencing by Xiang Zhang, Tianze Ling, Zhi Jin, Sheng Xu, Zhiqiang Gao, Boyan Sun, Zijie Qiu, Jiaqi Wei, Nanqing Dong, Guangshuai Wang, Guibin Wang, Leyuan Li, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Fuchu He, Wanli Ouyang, Cheng Chang, Siqi Sun

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Method on Efficient Operation of Multiple Models for Vision-Based In-Flight Risky Behavior Recognition in UAM Safety and Security by Byeonghun Kim, Byeongjoon Noh, Kyowon Song

“…The proposed method achieves high accuracy by using a single model optimized for a specific task and ensures maximum computational efficiency through a scheduler that executes the appropriate models based on the situation. …”
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An Efficient Network-Based QoE Assessment Framework for Multimedia Networks Using a Machine Learning Approach by Parsa Hassani Shariat Panahi, Amir Hossein Jalilvand, Abolfazl Diyanat

“…QoE, a key metric for multimedia services, reflects user satisfaction with service quality. However, measuring QoE is challenging due to its subjective nature and the complexities associated with real-time feedback.This paper presents an open-source framework for assessing QoE in multimedia networks using only key network parameters. …”
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Lightweight deep learning system for automated bone age assessment in Chinese children: enhancing clinical efficiency and diagnostic accuracy by Pang Hai, Zhang Bin, Liu Kesheng, Li Cong, Xu Fei

“…In the first stage, the YOLOv8 algorithm precisely localizes 13 key epiphyses in hand radiographs, achieving a mean Average Precision (mAP) of 99.5% at Intersection over Union (IoU) = 0.5 and 94.0% within IoU 0.5–0.95, demonstrating robust detection performance. The second stage employs a modified EfficientNetB3 architecture for fine-grained epiphyseal grade classification, enhanced by the Rectified Adam (RAdam) optimizer and a composite loss function combining center loss and weighted cross-entropy to mitigate class imbalance. …”
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Online high speed detection method for end face quality of cored filter rods under complex conditions by Yuhui Zhou, Bin Wei, Guang Yang, Jie Li, Hongjie Chang

“…The experimental results show that the system is capable of inspecting at a rate of 4200 pcs per minute in a complex environment with a defect detection rate of more than 95%. …”
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Enhanced deep learning model for apple detection, localization, and counting in complex orchards for robotic arm-based harvesting by Tantan Jin, Xiongzhe Han, Pingan Wang, Zhao Zhang, Jie Guo, Fan Ding

“…These results indicate improvements of 1.06 %, 1.42 %, 1.28 %, and 1.61 % over the original YOLOv8n, while preserving comparable model parameters, computational efficiency, and detection speed. Furthermore, the enhanced model demonstrated superior overall performance compared to YOLOv5, YOLOv6, and RT-DETR. …”
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BESW-YOLO: A Lightweight SAR Image Detection Model Based on YOLOv8n for Complex Scenarios by Xiao Tang, Kun Cao, Yunzhi Xia, Enkun Cui, Weining Zhao, Qiong Chen

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