An Electrochemical Sensor for the Simultaneous Detection of Pb²⁺ and Cd²⁺ in Contaminated Seawater Based on Intelligent Mobile Detection Devices by Zizi Zhao, Wei Qu, Chengjun Qiu, Yuan Zhuang, Kaixuan Chen, Yi Qu, Huili Hao, Wenhao Wang, Haozheng Liu, Jiahua Su

“…Traditional methods for detecting marine Pb²⁺ and Cd²⁺ rely on laboratory analyses, which are hindered by limitations such as sample degradation during transport and complex operational procedures. …”
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Improving Object Detection in High-Altitude Infrared Thermal Images Using Magnitude-Based Pruning and Non-Maximum Suppression by Yajnaseni Dash, Vinayak Gupta, Ajith Abraham, Swati Chandna

“…We converted dataset annotations from the COCO and PASCAL VOC formats to YOLO’s required format, enabling efficient model training and inference. The results demonstrate the proposed architecture’s superior speed and accuracy, effectively handling thermal signatures and object detection. …”
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Efficient hardware error correction with hybrid on-offline configuration algorithm for optical processor by Zichao Zhao, Huihui Zhu, Qishen Liang, Haoran Ma, Ziyi Fu, Xingyi Jiang, Bei Chen, Yuehai Wang, Tian Chen, Yuzhi Shi, Jianyi Yang

“…This innovative approach combines offline initial value presetting with online perturbed optimization iteration algorithm, enabling precise and highly efficient error correction. We benchmark the algorithm’s performance in complex-valued matrix configuration and classification tasks, demonstrating robust error correction capabilities, including high reconstruction fidelity (≥98%), rapid convergence (≤10 iterations), and reduced dependence on detection devices. …”
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Data-Efficient Bone Segmentation Using Feature Pyramid- Based SegFormer by Naohiro Masuda, Keiko Ono, Daisuke Tawara, Yusuke Matsuura, Kentaro Sakabe

“…While Convolutional Neural Networks (CNNs) are commonly used for segmentation, they often struggle with complex shapes due to their focus on texture features and limited ability to incorporate positional information. …”
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Assessing data and sample complexity in unmanned aerial vehicle imagery for agricultural pattern classification by Linara Arslanova, Sören Hese, Marcel Fölsch, Friedemann Scheibler, Christiane Schmullius

“…The study also proposes a customized set of input layers for each crop type and identifies minimum patch sizes to enhance the efficiency of detecting specific agricultural patterns. …”
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Experimental Estimation of Two-Phase Flow Parameters in the Pneumatic System of a Sowing Complex by Airat M. Mukhametdinov, Salavat G. Mudarisov

“…Introduction. In modern sowing complexes, the process of transporting and distributing seeds and fertilizers is carried out using an air stream. …”
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Enhancing Mirror and Glass Detection in Multimodal Images Based on Mathematical and Physical Methods by Jiyuan Qiu, Chen Jiang

“…Due to their reflective and transparent nature, these surfaces are often difficult to distinguish from their surrounding environments, posing substantial challenges even for advanced deep learning models tasked with performing such detection. Current research primarily relies on complex network models that learn and fuse different modalities of images, such as RGB, depth, and thermal, to achieve mirror and glass detection. …”
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Efficiency of cognitive-behavioral group therapy for obesity in combination with dietary modifications in women by S. O. Eliashevich, A. P. Misharova, A. V. Orekhova, Ya. V. Medik, O. M. Drapkina

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Cross-Modal Behavioral Intelligence in Regard to a Ship Bridge: A Rough Set-Driven Framework with Enhanced Spatiotemporal Perception and Object Semantics by Chen Chen, Yuenan Wei, Feng Ma, Zhongcheng Shu

“…Aberrant or non-standard operations by ship drivers are a leading cause of water traffic accidents, making the development of real-time and reliable behavior detection systems critically important. However, the environment within a ship’s bridge is significantly more complex than typical scenarios, such as vehicle driving or general security monitoring, which results in poor performance when applying generic algorithms. …”
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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. …”
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Estimation of efficiency of comprehensive dental rehabilitation of patients with separate oral cavity precautions by I. N. Khalyavina, O. S. Gileva, T. V. Libik, S. V. Koshkin, E. A. Kuklina, N. S. Kuklin

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YOLOv11-HRS: An Improved Model for Strawberry Ripeness Detection by Jianhua Liu, Jing Guo, Suxin Zhang

“…Automated ripeness detection in large-scale strawberry cultivation is often challenged by complex backgrounds, significant target scale variation, and small object size. …”
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Efficient compression of encoder-decoder models for semantic segmentation using the separation index by Movahed Jamshidi, Ahmad Kalhor, Abdol-Hossein Vahabie

“…By identifying and pruning redundant layers and filters, our method preserves the fine-grained spatial details crucial for segmentation while significantly reducing model complexity. We evaluated our approach on five diverse datasets—CamVid (road scenes), KiTS19 (kidney tumor CT scans), the 2018 Data Science Bowl (nuclei segmentation), Aerial Imagery for remote sensing, and MVTec AD (industrial anomaly detection)—across architectures such as U-Net, LinkNet, MobileNet, DeepLabV3, and SegNet. …”
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EFFICIENCY ON GROUP PROPHYLAXIS OF IODINE DEFICIENCY IN CHILDREN LIVING IN IODINE DEFICIENCY REGION by V.R. Kuchma, N.A. Belyakova, A.V. Lareva, M.B. Lyasnikova

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DCFE-YOLO: A novel fabric defect detection method. by Lei Zhou, Bingya Ma, Yanyan Dong, Zhewen Yin, Fan Lu

“…However, the task of fabric defect detection remains highly challenging due to the complex textures and diverse defect patterns. …”
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Energy-efficient and fast memristor-based serial multipliers applicable in image processing by Seyed Erfan Fatemieh, Bahareh Bagheralmoosavi, Mohammad Reza Reshadinezhad

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Development of an IoT-based firefighting drone for enhanced safety and efficiency in fire suppression by Nusrat Jahan, Tawab Bin Maleque Niloy, Jannatul Fahima Silvi, Mahdi Hasan, Ishrat Jahan Nashia, Riasat Khan

“…The proposed device is constructed from an ultra-strength S500 Quadcopter frame, NodeMCU, Arduino Nano, various gas sensors, a servo motor to extinguish the fire and a camera to detect fire events in real time. Equipped with an FPV camera and a video transmitter, it transmits live video feed to the ground, enabling efficient navigation using the Flysky I6X controller. …”
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Efficiency-Sensitive Feature Selection and Probabilistic Feature Transfer for Scenic Image Recomposition by Zhendong Du, Yu Yu

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Parameter efficient multi-model vision assistant for polymer solvation behaviour inference by Zheng Jie Liew, Ziad Elkhaiary, Alexei A. Lapkin

“…Abstract Polymer–solvent systems exhibit complex solvation behaviours encompassing a diverse range of phenomena, including swelling, gelation, and dispersion. …”
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MMLT: Efficient object tracking through machine learning-based meta-learning by Bibek Das, Asfak Ali, Suvojit Acharjee, Jaroslav Frnda, Sheli Sinha Chaudhuri

“…In contrast, traditional machine learning and classical computer vision methods like Kernelized Correlation Filters (KCF), Tracking, Learning, and Detection (TLD), and Bootstrap Aggregating (BOOSTING), lacks reliability in performance.This paper introduces a machine learning-based approach to one-shot meta-learning for more efficient object tracking. …”
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