Unsupervised Feature Selection via a Dual-Graph Autoencoder with <inline-formula><math display="inline"><semantics><mrow><msub><mi mathvariant="bold-script">l</mi><mrow><mn mathvar... by Zhichao Song, Meiling Chen, Liang Xie, Xi Fang

“…In the era of big data, high-dimensional datasets have become increasingly common in fields such as biometrics, computer vision, and medical imaging. While such data contain abundant information, they are often accompanied by substantial noise, high redundancy, and complex intrinsic structures, posing significant challenges for analysis and modeling. …”
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Optimal Fuzzy Deep Neural Networks-Based Plant Disease Detection and Classification on UAV-Based Remote Sensed Data by M. Pajany, S. Venkatraman, U. Sakthi, M. Sujatha, Mohamad Khairi Ishak

“…Using the UAVs to capture high-resolution images of agricultural regions, RS information becomes widely accessible for monitoring and identifying crop health and signs of diseases. …”
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Aircraft Skin Damage Visual Testing System Using Lightweight Devices with YOLO: An Automated Real-Time Material Evaluation System by Kuo-Chien Liao, Jirayu Lau, Muhamad Hidayat

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Potentials of computer simulation of lung tumors in comparison with ^99mТс-MIBI SPECT/CT data by N. V. Denisova, M. A. Gurko, S. M. Minin, Zh. Zh. Anashbaev, A. A. Zheravin, E. A. Samoilova, S. E. Krasilnikov

“…The SP included a program for generating a voxel phantom (“virtual patient”), a program for modeling the “raw” data acquisition (“virtual tomograph”) and an image reconstruction based on the OSEM algorithm (Ordered Subset Expectation Maximization). …”
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Enhancing High-Temperature Prediction via Sixfold Strategy Consensus-Reaching Processes: A Case Study Using FY-3E Spatiotemporal Remote Sensing Satellite Data by Chao Zhang, Haonan Hou, Arun Kumar Sangaiah, Deyu Li, Wentao Li

“…Nonetheless, ongoing challenges persist, encompassing inaccurate identification of satellite images, sluggish HTP speeds, heightened risks linked to meteorological information fusion, and disparities in interpreting conflicting ST RSS data from various satellites. …”
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Managing demolition wastes using GIS and optimization techniques by Mohamed Marzouk, Eman Othman, Mahmoud Metawie

“…The module performs multi-objective optimization using a non-dominated sorting genetic algorithm (NSGA-II). The optimization module considers three objectives in demolition and transportation processes: time, cost, and energy consumption. …”
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Calculation method for mining subsidence combining probability integral method and SBAS-InSAR by DING Xingcheng, LI Peixian, KANG Xinliang, WANG Mingliang, ZHANG Tao, HAO Dengcheng

“…To address the issues of local optima and inaccurate edge subsidence predictions in the parameter inversion process of the mining subsidence probability integral method, the authors propose applying the dung beetle optimizer algorithm to invert probability integral method parameters and integrate SBAS-InSAR subsidence monitoring values to obtain comprehensive subsidence information for the mining area. …”
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Fuzzy Rule-Based Combination Model for the Fire Pixel Segmentation by Alberto Lopez-Alanis, Hector de-la-Torre-Gutierrez, Arturo Hernandez-Aguirre, Maria T. Orvananos-Guerrero

“…The authors determine the thresholds by analyzing diverse collections of images that contain wildfires. This has resulted in a lack of consensus on the thresholds determined by various researchers, even when the same color space is used during the examination process. …”
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Differential Diagnosis of Jejunum and Ileum Tumours Based on Video Capsule Endoscopy Data Using Mathematical Analysis by E. D. Fedorov, E. V. Ivanova, S. E. Rauzina, D. E. Seleznev, A. V. Budykina

“…The aim of this study was to develop an algorithm for identifying various types of jejunum and ileum tumour lesions based on video capsule endoscopy (VCE), which can be used by physicians in the process of decision making. …”
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MSRP-TODNet: a multi-scale reinforced region wise analyser for tiny object detection by Thulasi Bikku, K. P. N. V. Satya Sree, Srinivasarao Thota, Malligunta Kiran Kumar, P. Shanmugasundaram

“…The Multi-Agent Reinforcement Learning (MARL) algorithm splits the pre-processed image into four regions, analyzing each pixel to generate feature maps. …”
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Chronic thromboembolic pulmonary hypertension after an acute pulmonary embolism: fundamental concepts of diagnosis and review of current treatment options by N. A. Cherepanova, D. V. Duplyakov

“…The stepwise diagnostic algorithm for CTEPH includes a comprehensive analysis of the patient’s condition: assessment of clinical status, identification of N-terminal pro-brain natriuretic peptide levels, cardiopulmonary exercise testing, imaging diagnostic procedures (ventilation/perfusion lung scanning, pulmonary angiography) and, finally, right heart catheterization. …”
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Non-Iterative Recovery Information Procedure with Database Inspired in Hopfield Neural Networks by Cesar U. Solis, Jorge Morales, Carlos M. Montelongo

“…In addition, a filter is added to the algorithm to focus on the most important information when reconstructing data, allowing it to work with damaged or incomplete vectors, even without losing the ability to be a non-iterative process. …”
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Improved Deviation Sparse Fuzzy C-Means-2D Cumulative Sum Average Filter and Modified Sine Cosine Crow Search Algorithm-Wavelet Extreme Learning Machine for Brain Tumor Detection a... by Suvashisa Dash, Satyasis Mishra, Mohammed Siddique, Demissie J. Gelmecha, Ram Sewak Singh

“…Thus, automatic segmentation and classification methods are taken up to make the diagnosis process easy. This research proposes a two-dimensional cumulative sum average filter (2D-CSAF) for preprocessing images and an improved deviation sparse fuzzy C-means (IDSFCM) with neighbor information for segmenting brain tumors from magnetic resonance images. …”
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A Fast and High-Accuracy Real-Time Visible Light Positioning System Based on Single LED Lamp With a Beacon by Huaping Li, Hongbin Huang, Yongze Xu, Zhanhang Wei, Sichen Yuan, Puxi Lin, Hao Wu, Wen Lei, Junbin Fang, Zhe Chen

“…Secondly, a fast beacon searching algorithm is proposed to further reduce the processing time for each captured image. …”
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A 3-D Parallel Method of PSTD-Based Reverse Time Migration of GPR Data by Lingjia Huang, Bowen Ma, Qinghua Huang

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Realizing the promise of machine learning in precision oncology: expert perspectives on opportunities and challenges by Vasileios Nittas, Kelly E. Ormond, Effy Vayena, Alessandro Blasimme

“…Some remarkable developments have taken place in the domain of image classification tasks in areas such as digital pathology and diagnostic radiology. …”
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Chaotic-mapping and Gaussian perturbation-based multi-channel constant modulus blind equalization by HU Shuang, FENG Jiao, ZHANG Zhizhong, LI Peng, ZHOU Hua

“…Unlike traditional equalizer designs, blind equalization algorithms do not require training sequences, improving system efficiency and not interfering with the simulation process. …”
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Tree Roots Reconstruction Framework for Accurate Positioning in Heterogeneous Soil by Wenhao Luo, Yee Hui Lee, Hai-Han Sun, Genevieve Ow, Mohamed Lokman Mohd Yusof, Abdulkadir C. Yucel

“…The proposed framework combines four techniques to be applied consecutively: First, a hyperbola extraction method based on a column-connection clustering algorithm is used to extract individual hyperbolae in B-scans, eliminate mutual influence in the process, and suppress noise. …”
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Feature extraction method based on point pair hierarchical clustering by Jiang Qian, Ruixin Zhao, Jingkang Wei, Xiaohui Luo, Yilan Xue

“…Conventional feature detection algorithms are largely based on clustered two-dimensional (2D) blocks of information. …”
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First study of the RuPatient health information system with optical character recognition of medical records based on machine learning by A. A. Komkov, V. P. Mazaev, S. V. Ryazanova, D. N. Samochatov, E. V. Koshkina, E. V. Bushueva, O. M. Drapkina

“…Vorokhobov City Clinical Hospital 67 We analyzed images (scanned copies, photos) of discharge reports from patients admitted to the relevant departments in 2021. …”
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