Compact classification using the biomimetic properties of ultrafast spiking microlaser neurons by Gibaek Kim, Matthieu Dubernard, Sami V El-Nakouzi, Amir-Hossein Masominia, Sylvain Barbay, Laurie E Calvet

“…This enables the training of a compact, energy efficient spiking photonic architecture that takes advantage of biomimetic properties to detect important features of the data. The resulting classification accuracy is comparable to that of a multi-layer perceptron with higher structural complexity. …”
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ASM-VoFDehaze: a real-time defogging method of zinc froth image by Wenhui Xiao, Zhaohui Tang, Ce Yang, Wei Liang, Meng-Yen Hsieh

“…First, the dark pixel ratio is used to detect fog in froth image, which solves the redundant calculation caused by unnecessary defogging operations. …”
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Deep Learning-Based Instance Segmentation of Galloping High-Speed Railway Overhead Contact System Conductors in Video Images by Xiaotong Yao, Huayu Yuan, Shanpeng Zhao, Wei Tian, Dongzhao Han, Xiaoping Li, Feng Wang, Sihua Wang

“…This work expands upon the YOLO11-seg model and introduces an instance segmentation approach for galloping video and image sensor data of OCS conductors. The algorithm, designed for the stripe-like distribution of OCS conductors in the data, employs four-direction Sobel filters to extract edge features in horizontal, vertical, and diagonal orientations. …”
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Deep Learning Based Large‐Area Contact Sensing for Safe Human–Robot Interaction Using Conformal Kirigami Structure‐Enabled Robotic E‐Skin by Rui Jiao, Zhengjun Wang, Ruoqin Wang, Qian Xu, Jiacheng Jiang, Boyang Zhang, Simin Yang, Yang Li, Yik Kin Cheung, Fan Shi, Hongyu Yu

“…Additionally, a convolutional neural network‐based deep learning algorithm is implemented to decode the features of guided wave signals and predict the contact location and energy intensity on the robot surface. …”
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Screening of Aβ and phosphorylated tau status in the cerebrospinal fluid through machine learning analysis of portable electroencephalography data by Masahiro Hata, Yuki Miyazaki, Kohji Mori, Kenji Yoshiyama, Shoshin Akamine, Hideki Kanemoto, Shiho Gotoh, Hisaki Omori, Atsuya Hirashima, Yuto Satake, Takashi Suehiro, Shun Takahashi, Manabu Ikeda

“…This study aims to find a noninvasive, cost-effective method using portable electroencephalography (EEG) to detect changes in AD-related biomarkers in cerebrospinal fluid (CSF). …”
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Analysis of prognostic factors in diffuse large B-cell lymphoma associated with rheumatic diseases by Vadim Gorodetskiy, Natalya Probatova, Tatiana Obukhova, Vladimir Vasilyev

“…EBV was detected in 2 of the 21 tested cases (10%), and the c-MYC/8q24 gene rearrangement was not found in any of the 19 examined cases. …”
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Five abdominal computer tomography characteristics facilitate diagnosis of spontaneous perforation of pyometra in women with acute abdomen: a case control study by Yingying He, Chaoran Li, Fang Long, Zhigang Sun, Yangzong Cidan, Jing Li, Penglong Cao, Rui Ma, Weiwei Wang, Xiaoguang Xu, Zhen Xiao

“…A dignostic strategy combined clinical findings with raidiological features were developed to help identify these patients. …”
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Clinical manifestations of familial exudative vitreoretinopathy in children with nucleotide sequence alterations in the FZD4 gene by L. A. Katargina, V. V. Kadyshev, E. V. Denisova, E. A. Geraskina, A. V. Marakhonov, S. A. Garifullina, I. V. Zolnikova, R. A. Zinchenko

“…Nucleotide sequence alterations in the FZD4 gene were detected in 3 patients(16.7 %)from two unrelated families. …”
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Identification of active gully erosion sites on the loess plateau based on terrain profile lines by Shan He, Jilong Li, Han Wu, Tianjiao Cui

“…We first generated gully topographic profiles in the Zhifang Catchment (Ansai District) through DEM processing using the multiple-flow-direction (MFD) algorithm. Subsequently, active erosion sites were detected through ensemble empirical mode decomposition (EEMD) combined with Hilbert-Huang Transform (HHT) spectral analysis. …”
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A Development Model for Identifying the Uncertainty Sources and Their Impacts on Bridge Construction Projects by Kayvan Mohammadi Atashgah, Rouzbeh Ghousi, Armin Monir Abbasi, Abbasali Tayefi Nasrabadi

“…Bridge construction projects are rife with uncertainty because of their unique features, from execution of the work, time estimation, inspection and assessment to fund allocation. …”
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Digital fundus image quality assessment by V. V. Starovoitov, Y. I. Golub, M. M. Lukashevich

“…On these images one can see features, which determine the presence of DR and its grade. …”
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From Tables to Computer Vision: Transforming HPDC Process Data into Images for CNN-Based Deep Learning by A. Burzyńska

“…The proposed study is founded on two principal pillars: the transformation of process tabular data (generated using the Conditional Tabular Generative Adversarial Network (CTGAN)), involving the mapping of features onto a fixed grid in a heatmap structure, and the configuration of the CNN algorithm to extract complex patterns in the data that are not readily apparent in the original tabular format. …”
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Recurrent academic path recommendation model for engineering students using MBTI indicators and optimization enabled recurrent neural network by Anupama V, Sudheep Elayidom M

“…Then, the Sparse Fuzzy C-Means Clustering (Sparse FCM) is employed to choose imperative features. At last, an adaptive recommendation of the engineering department is performed using DRNN, which is trained based on the Magnetic Invasive Weed Optimization (MIWO) algorithm. …”
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A dataset of tracked mesoscale precipitation systems in the tropics by James Russell, Manikandan Rajagopal, Peter Veals, Gregor Skok, Edward Zipser, Michell Tinoco‐Morales

“…By combining the TIMPS dataset with the University of Washington Convective Features database, we also provide snapshots of information from more spatially detailed space‐borne radar coverage. …”
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An Energy-Efficient Battery Monitoring and Logging System for Agricultural Robotics with CAN Bus Integration by Soosaar Guido, Lillerand Tormi

“…Preliminary tests confirm the system’s ability to detect anomalies, support historical diagnostics, and reduce energy consumption through intelligent scheduling. …”
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Development of a new method to track multiple honey bees with complex behaviors on a flat laboratory arena. by Toshifumi Kimura, Mizue Ohashi, Karl Crailsheim, Thomas Schmickl, Ryuichi Okada, Gerald Radspieler, Hidetoshi Ikeno

“…A computer program that tracks animal behavior, thereby revealing various features and mechanisms of social animals, is a powerful tool in ethological research. …”
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Machine learning reveals the dynamic importance of accessory sequences for Salmonella outbreak clustering by Chao Chun Liu, William W. L. Hsiao

“…Annotating the genomic features important for cluster classification revealed functional enrichment of molecular fingerprints in genes involved in membrane transportation, trafficking, and carbohydrate metabolism. …”
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Automated Image-Based Wound Area Assessment in Outpatient Clinics Using Computer-Aided Methods: A Development and Validation Study by Kuan-Chen Li, Ying-Han Lee, Yu-Hsien Lin

“…It organizes data points into clusters based on shared features. Based on this algorithm, we can use it to identify the wound region and determine its pixel area. …”
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Characteristics of clinical, laboratory, and immunological manifestations in patients with anticentromere antibody-associated Sjögren's disease by B. D. Chaltsev, V. I. Vasilyev, S. G. Palshina, A. V. Torgashina, E. V. Sokol, Yu. I. Khvan, E. B. Rodionova, T. N. Safonova, S. V. Lapin, O. Yu. Tkachenko, A. V. Mazing

“…Objective: to study clinical and laboratory features in patients with anticentromere antibody (ACA)-positive SjЪgren's disease (SD), as well as the sensitivity of different methods for determination of ACA, and to elaborate an algorithm for differential diagnosis in ACA-positive patients.Patients and methods. …”
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The role of vascularity and the fibrovascular interface in interstitial lung diseases by Jana Dietrich, Alice Kang, Birger Tielemans, Stijn E. Verleden, Hassan Khalil, Florian Länger, Philipp Bruners, Steven J. Mentzer, Tobias Welte, Michael Dreher, Danny D. Jonigk, Maximilian Ackermann

“…Different patterns of pulmonary fibrosis commonly exhibit detectable pathological features such as morphomolecular changes, including intussusceptive and sprouting angiogenesis, vascular morphometry, broncho-systemic anastomoses, and aberrant angiogenesis-related gene expression patterns. …”
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