Correction of Disturbances Influence on Results of Elongated Objects's Probe Microscopy Using Predictive Relief Estimates by P. V. Gulyaev

“…The purpose of this work was to develop an algorithm for locating the objects skeletons adapted to the images peculiarities in scanning probe microscopy and does not require significant computing resources. …”
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On Explainability of Reinforcement Learning-Based Machine Learning Agents Trained with Proximal Policy Optimization That Utilizes Visual Sensor Data by Tomasz Hachaj, Marcin Piekarczyk

“…In this paper, we address the issues of the explainability of reinforcement learning-based machine learning agents trained with Proximal Policy Optimization (PPO) that utilizes visual sensor data. We propose an algorithm that allows an effective and intuitive approximation of the PPO-trained neural network (NN). …”
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Senescence-associated lncRNAs indicate distinct molecular subtypes associated with prognosis and androgen response in patients with prostate cancer by Dechao Feng, Dengxiong Li, Jie Wang, Ruicheng Wu, Chi Zhang

“…Nonnegative matrix factorization algorithm was used to identify molecular subtypes. …”
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MULTI-MODEL STACK ENSEMBLE DEEP LEARNING APPROACH FOR MULTI-DISEASE PREDICTION IN HEALTHCARE APPLICATION by Bhaskar Adepu, T. Archana

“…The suggested deep learning algorithms' performance is evaluated using criteria such as precision, specificity, sensitivity, accuracy, and error rate. …”
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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

“…To generate a dataset of tropical Tracked IMERG Mesoscale Precipitation Systems (TIMPS), we use the Forward in Time tracking algorithm to track precipitation systems in the Integrated Multi‐satellitE Retrievals for the Global Precipitation Mission (IMERG). …”
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Using a Camera System for the In-Situ Assessment of Cordon Dieback due to Grapevine Trunk Diseases by Julie Tang, Olivia Yem, Finn Russell, Cameron A. Stewart, Kangying Lin, Hiranya Jayakody, Matthew R. Ayres, Mark R. Sosnowski, Mark Whitty, Paul R. Petrie

“…Methods and Results. An algorithm was developed for the assessment of dieback symptoms due to trunk disease which is applied on a smartphone mounted on a vehicle driven through the vineyard. …”
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Iimmunotherapeutic potential of Bulgarian intravenous immunoglobulin (Immunovenin-intact 5% IgG) by Vancho Donev, Radoslava Emilova, Yana Todorova, Julia Nacheva, Tzvetelina Stefanova, Georgi Nikolov, Maria Nikolova

“…SARS-CoV-2-specific IgG was detected in all “pandemic” batches with a mean (min–max) level of 7.4 ± 3.9, compared to 4.1 ± 2.4 for CCP. …”
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BEV-CAM3D: A Unified Bird’s-Eye View Architecture for Autonomous Driving with Monocular Cameras and 3D Point Clouds by Daniel Ayo Oladele, Elisha Didam Markus, Adnan M. Abu-Mahfouz

“…BEVCAM3D integrates a deformable cross-modality attention module for feature alignment and a fast ground segmentation algorithm to reduce computational overhead by 40%. …”
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A Safe and Efficient Brain–Computer Interface Using Moving Object Trajectories and LED-Controlled Activation by Sefa Aydin, Mesut Melek, Levent Gökrem

“…In the first classification phase, which was performed for the system to detect the LED in the background, the highest accuracy rate of 99.57% was achieved with the random forest (RF) classification algorithm. …”
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Adaptive resolution in speckle displacement measurement using optimized grid-based phase correlation and statistical refinement by Hamed Sabahno, Satyam Paul, Davood Khodadad

“…To improve measurement performance, we developed an optimization technique that uses the median absolute deviation of residuals between reference and deformed images, enabling the algorithm to automatically adapt grid sizes based on local deformation characteristics. …”
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A VHDL Code for Offset Pulse Position Modulation Working with Reed Solomon System by Using ModelSim by Ahmed H. Albatoosh, Mohamed Ibrahim Shuja'a, Basman M. Al-Nedawe

“… Error correction codes, often known as ECC, play a significant part in the process of detecting and correcting data mistakes that occur through communication channels that are unreliable or noisy. …”
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Differences in drug resistance of HIV-1 genotypes in CSF and plasma and analysis of related factors by Jie Wang, Mei Li, Jungang Li, Renni Deng

“…Thirteen patients (21.0%) were detected with drug-resistant mutations, and the sites were consistent in both CSF and matched plasma. …”
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Recurrent Adaptive Classifier Ensemble for Handling Recurring Concept Drifts by Tinofirei Museba, Fulufhelo Nelwamondo, Khmaies Ouahada, Ayokunle Akinola

“…Existing machine learning algorithms handle recurring concepts by retraining a learning model if concept is detected, leading to the loss of information if the concept was well learned by the learning model, and the concept will recur again in the next learning phase. …”
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Enhanced medical image segmentation using novel level set evolution and efficient optimization by Samad Wali, Adil Jhangeer, Ariana Abdul Rahimzai, Samina Samina, Mudassar Imran

“…The algorithm showed exceptional precision through its average dice coefficient of 0.96 which matched the ground truth data measurement standards. …”
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Using Digital Intelligence in Promoting Mechanism for Medical Care Insurance for Rare Diseases: Concepts and Applications by YANG Xinyu, ZHANG Yuzheng, WANG Shengfeng, GUO Wudong

“…The machine learning algorithms improve the dynamic evaluation of drug safety and cost-effectiveness. …”
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Transformer Fault Diagnosis Based on Knowledge Distillation and Residual Convolutional Neural Networks by Haikun Shang, Yanlei Wei, Shen Zhang

“…Dissolved Gas Analysis (DGA) of transformer oil is a critical technique for transformer fault diagnosis that involves analyzing the concentration of gases to detect potential transformer faults in a timely manner. …”
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Adaptive Symmetry Self-Matching for 3D Point Cloud Completion of Occluded Tomato Fruits in Complex Canopy Environments by Wenqin Wang, Chengda Lin, Haiyu Shui, Ke Zhang, Ruifang Zhai

“…This study proposes an adaptive symmetry self-matching (ASSM) algorithm. It dynamically adjusts symmetry planes by detecting defect region characteristics in real time, implements point cloud completion under multi-symmetry constraints and constructs a triple-orthogonal symmetry plane system to adapt to multi-directional heterogeneous structures under complex occlusion. …”
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New Rotation Periods from the Kepler Bonus Background Light Curves by Zachary R. Claytor, Jamie Tayar

“…The new Kepler Bonus Background light curves are deblended using a point-spread function algorithm, providing light curves of over 400,000 new background sources in addition to over 200,000 reanalyzed Kepler prime targets. …”
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Pathogenetically differentiated management of pregnancy in patients with retrochorial hematoma by Kh. G. Sultangadzhieva, J. Kh. Khizroeva

“…Our work demonstrates that a personified and pathogenetically differentiated algorithm for diagnostics and management of pregnant women with chorionic detachments in early stages allows to lower frequency of early abortions and increases the therapeutic effectiveness.…”
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An Energy-Efficient Battery Monitoring and Logging System for Agricultural Robotics with CAN Bus Integration by Soosaar Guido, Lillerand Tormi

“…A key innovation is its adaptive data acquisition algorithm, which adjusts polling frequency based on battery activity and temperature thresholds, significantly reducing power consumption without compromising responsiveness. …”
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