A Detection Line Counting Method Based on Multi-Target Detection and Tracking for Precision Rearing and High-Quality Breeding of Young Silkworm (<i>Bombyx mori</i>) by Zhenghao Li, Hao Chang, Mingrui Shang, Zhanhua Song, Fuyang Tian, Fade Li, Guizheng Zhang, Tingju Sun, Yinfa Yan, Mochen Liu

“…A dataset of young silkworm bodies has been constructed, and the Young Silkworm Counting (YSC) method has been proposed. This method combines an improved detector, incorporating an optimized multi-scale feature fusion module and the Efficient Multi-Scale Attention Fusion Cross Stage Partial (EMA-CSP) mechanism, with an optimized tracker (based on ByteTrack with improved detection box matching), alongside the implementation of a ‘detection line’ approach. …”
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Optimized Demand Forecasting for Bike-Sharing Stations Through Multi-Method Fusion and Gated Graph Convolutional Neural Networks by Hebin Guo, Kexin Li, Yutong Rou

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Optimization of GC-MS Method for Analysis of Basil Essential Oils from Algeria: Design of Experiments and Exploratory Pattern Recognition by Nabila Slougui, Meriem Slama, Yasser Boudaoud, Aymene Salah Bendrihem

“…This set of conditions was later used for the optimization of the final method. The optimal experimental conditions were subsequently obtained by response surface optimization (isotherm duration = 6.2 min and slope = 1.06°C/min). …”
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Node optimization coverage method under link model in passive monitoring system of three-dimensional wireless sensor network by Zhanjun Hao, Nanjiang Qu, Xiaochao Dang, Jiaojiao Hou

“…For this reason, a node optimization coverage method under link model in passive monitoring system of three-dimensional wireless sensor network is proposed in this article. …”
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²¹⁰Po and ²¹⁰Pb content in the certain types of foodstuffs. Optimization of the analytical method by M. V. Kaduka, L. N. Basalaeva, T. A. Bekyasheva, S. A. Ivanov, N. V. Salazkina, V. V. Stupina, A. N. Kaduka

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Extensive identification of landslide boundaries using remote sensing images and deep learning method by Chang-dong Li, Peng-fei Feng, Xi-hui Jiang, Shuang Zhang, Jie Meng, Bing-chen Li

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YOLOv11-ND: A Method for Identifying Traffic Targets in Nighttime Urban Environments by Danyang Zhu, Hao Zhou, Yunlong Gao, Yongjuan Wang

“…Then, to boost the fusion ability of multi-scale features, the HS-FPN network structure is adopted in the neck section. This improves the detection performance. Lastly, the model is optimized using the Focaler-GIoU loss function to further enhance the detection performance. …”
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Time-triggered stream scheduling method combining no-wait and time-slot mapping reuse by HE Qian, GUO Yanan, ZHAO Baokang, PAN Qi, WANG Yong

“…The base period was used as the scheduling cycle time, by adopting no-wait scheduling for real-time streams and time-slot mapping reuse for cyclic streams, the length of gate control list was reduced. Then, a conflict detection method that utilized the midpoint of the data frame transmission interval significantly reduced the time complexity associated with slot conflict detection. …”
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Research on Change Information Retrieval Method for Energy Infrastructure Based on Optical Remote Sensing Images by Zhibao Wang, Ying Yuan, Man Zhao, Dan Zhou, Lu Bai, Jinhua Tao, Anna Jurek-Loughrey

“…With the rapid advancement of satellite remote sensing technology, high-resolution optical remote sensing images have become increasingly crucial for monitoring energy infrastructure. Traditional change detection methods identify land-use and land cover variations over time, while image retrieval extracts pertinent information from large datasets. …”
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LGN-YOLO: A Leaf-Oriented Region-of-Interest Generation Method for Cotton Top Buds in Fields by Yufei Xie, Liping Chen

“…Using the ROI output by this method as the detection region can address the problem of feature sparsity in small targets during traditional detection, achieve pre-detection region optimization, and thus reduce the cost of mining detailed features.…”
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Randomization-Driven Hybrid Deep Learning for Diabetic Retinopathy Detection by A. M. Mutawa, G. R. Hemalakshmi, N. B. Prakash, M. Murugappan

“…This study pioneers an innovative framework, using Multi-Scale Discriminative Robust Local Binary Pattern (MS-DRLBP) features, combined with a hybrid Convolutional Neural Network-Radial Basis Function (CNN-RBF) classifier, to enhance the detection of DR. Inspired by principles of randomization-based learning, our approach incorporates elements of stochastic modeling within the CNN-RBF architecture to optimize feature extraction and classification, mirroring the efficiency of non-iterative training processes. …”
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Optimal Selection of Intrinsic Mode Functions Applied to Seizure Detection by Luis Daladier Guerrero Otoya, Maximiliano Bueno López, Eduardo Giraldo Suárez, Marta Molinas Cabrera

“…These seizures can be detected and diagnosed noninvasively using an electroencephalogram. …”
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Twinkle: A GPU-based Binary-lens Microlensing Code with the Contour Integration Method by Suwei Wang, Lile Wang, Subo Dong

“…We also devise an improved method for robustly identifying ghost images, thereby enhancing computational reliability. …”
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Accelerated and precise skin cancer detection through an enhanced machine learning pipeline for improved diagnostic accuracy by SM Masfequier Rahman Swapno, S.M. Nuruzzaman Nobel, P.K. Meena, V.P. Meena, Jitendra Bahadur, Abhishek Appaji

“…The proposed training pipeline, optimized for modularity and performance, demonstrated significant improvements in accuracy and computational efficiency over state-of-the-art methods. …”
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Exact solutions of the (1+1)-dissipative Westervelt equation using an optimal system of Lie sub-algebras and modified simple equation method by Theko M. Sekhesa, Ngaka J. Nchejane, Wetsi D. Poka, Kalebe M. Kalebe

“…In this paper, we obtain exact invariant solutions of the (1+1)-dimensional dissipative Westervelt equation using Lie symmetry analysis with modified simple equation method. By utilizing an optimal system of Lie sub-algebras, the model is reduced to an ordinary differential equation. …”
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Design and simulation of a graphene-integrated SPR biosensor for malaria detection by Talia Tene, Fabian Arias Arias, Karina I. Paredes-Páliz, Juan Carlos González García, Nataly Bonilla García, Cristian Vacacela Gomez

“…Two configurations (Sys3 and Sys4) were simulated using the transfer matrix method to determine optimal material thicknesses. …”
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Evaluation of Weed Infestations in Row Crops Using Aerial RGB Imaging and Deep Learning by Plamena D. Nikolova, Boris I. Evstatiev, Atanas Z. Atanasov, Asparuh I. Atanasov

“…One of the important factors negatively affecting the yield of row crops is weed infestations. Using non-contact detection methods allows for a rapid assessment of weed infestations’ extent and management decisions for practical weed control. …”
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Optimizing Sensor Placement for Event Detection: A Case Study in Gaseous Chemical Detection by Priscile Fogou Suawa, Christian Herglotz

“…Using deep convolutional neural networks (DCNNs) and decision tree (DT) methods, we implemented and tested detection models on a public dataset of chemical substances collected at five locations. …”
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Optimization of fermentation process of blueberry and Chinese yam flavored fermented milk by fuzzy mathematics comprehensive evaluation and response surface method by ZHANG Yongfang, ZHANG Jie, ZHU Ling

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Optimizing Biometric Security in Industry 4.0 A Critical Analysis of Authentication Parameters and Their Impacts Using Multi-Criteria Methods by Javier Andres Esquivias Varela

“…TOPSIS and MORA decision-making frameworks were applied to determine the optimal biometric system. The results indicate that facial detection offers the highest accuracy (98%) and the lowest energy consumption (64% less than Retina recognition), although its performance is affected by lighting conditions. …”
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