Viroscope™: a universal solution for plant virus and viroid diagnostics using HTS and cloud-based analysis by Verónica Morgante, Juan Cristóbal Jiménez, Claudio Ponce, Cristóbal Urrutia, Fernanda Vera, Camila Farías, Rocío Camps de la Maza, Valentina Caro, Marco Muñoz, Bernardo Pollak

“…A field study was conducted on plants in post-entry quarantines using the Viroscope™ algorithm to evaluate its performance for phytosanitary diagnostics of virus and viroids. …”
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Predicting the risk category of thymoma with machine learning-based computed tomography radiomics signatures and their between-imaging phase differences by Zhu Liang, Jiamin Li, Yihan Tang, Yaxuan Zhang, Chunyuan Chen, Siyuan Li, Xuefeng Wang, Xinyan Xu, Ziye Zhuang, Shuyan He, Biao Deng

“…Among them, 78 patients composed the training cohort, while the remaining 53 patients formed the validation cohort. …”
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Adaptive polarimetric optimization for ground deformation monitoring using multi-temporal InSAR with dual-polarization sentinel-1 by Leixin Zhang, Feng Zhao, Yunjia Wang, Jordi J. Mallorqui, Teng Wang, Yuxuan Zhang, Zhongbo Hu, Sen Du, José Fernández

“…Additionally, it demonstrates enhanced ground deformation monitoring accuracy, as evidenced by a lower average RMSE compared to the VV and minimum mean square error (MMSE) methods when comparing against GPS data. While achieving a nearly equivalent number of monitoring pixels as the optimal exhaustive search polarimetric optimization (ESPO) algorithm, ADCMD-PolMTI operates 235 and 13 times faster for PSs and DSs, respectively. …”
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A Deep Learning Segmentation Model for Detection of Active Proliferative Diabetic Retinopathy by Sebastian Dinesen, Marianne G. Schou, Christoffer V. Hedegaard, Yousif Subhi, Thiusius R. Savarimuthu, Tunde Peto, Jakob K. H. Andersen, Jakob Grauslund

“…Abstract Introduction Existing deep learning (DL) algorithms lack the capability to accurately identify patients in immediate need of treatment for proliferative diabetic retinopathy (PDR). …”
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Distribution of runs of homozygosity in Lactuca species and its implications for plant breeding and evolutionary conservation by Qianqian Zhang, Wenjun Lv, Defu Liu, Xueying Xie, Ke Yang, You Tang, Johann Solkner

“…The comparison between PLINK computation and our developed in-house algorithm shows that PLINK tends to detect longer ROH, whereas our algorithm adopts a more conservative approach, resulting in fewer and shorter ROH segments detected with higher precision more suitable for NGS data. …”
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Performance of dual-energy subtraction in contrast-enhanced mammography for three different manufacturers: a phantom study by Gisella Gennaro, Giulia Vatteroni, Daniela Bernardi, Francesca Caumo

“…Abstract Background Dual-energy subtraction (DES) imaging is critical in contrast-enhanced mammography (CEM), as the recombination of low-energy (LE) and high-energy (HE) images produces contrast enhancement while reducing anatomical noise. The study's purpose was to compare the performance of the DES algorithm among three different CEM systems using a commercial phantom. …”
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Hardware-Efficient Phase Demodulation for Digital <i>ϕ</i>-OTDR Receivers with Baseband and Analytic Signal Processing by Shangming Du, Tianwei Chen, Can Guo, Yuxing Duan, Song Wu, Lei Liang

“…Additionally, we introduce an incremental DC-rejected phase unwrapper (IDRPU) algorithm to jointly address phase unwrapping and DC drift removal, minimizing computational overhead while avoiding numerical overflow. …”
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A novel multi-step methodology for stochastic simulation of streamflow time series using PcStream clustering by Shalini Balaram, Roshan Srivastav, K Srinivasan

“…The methodology followed by the proposed model involves a series of steps that begin with fitting kappa and Generalized Extreme Value GEV distributions to model daily variations and extreme values, followed by clustering data using the PcStream algorithm. A Markov chain model regenerates cluster series while the nearest neighbour approach fills them with historical data. …”
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The TB27 Transcriptomic Model for Predicting Mycobacterium tuberculosis Culture Conversion by Maja Reimann, Korkut Avsar, Andrew DiNardo, Torsten Goldmann, Gunar Günther, Michael Hoelscher, Elmira Ibraim, Barbara Kalsdorf, Stefan Kaufmann, Niklas Köhler, Anna Mandalakas, Florian Maurer, Marius Müller, Dörte Nitschkowski, Ioana Olaru, Cristina Popa, Andrea Rachow, Thierry Rolling, Helmut Salzer, Patricia Sanchez-Carballo, Maren Schuhmann, Dagmar Schaub, Victor Spinu, Elena Terhalle, Markus Unnewehr, Nika Zielinski, Jan Heyckendorf, Christoph Lange

“…Methods: Using a multi-step machine learning algorithm to identify an RNA-based algorithm to predict the remaining time to culture conversion at flexible time points during anti-tuberculosis therapy.  …”
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Pemetaan Luasan Mangrove Menggunakan Algoritma Mangrove Vegetation Index (MVI) di Desa Kaliwlingi, Kabupaten Brebes, Jawa Tengah by Reyhanniza Ekka Farahdillah, Riza Aitiando Pasaribu, Jonson Lumban Gaol

“…The mapping results used the MVI algorithm showed that the threshold value of mangrove MVI ranged from 2,30 to 19,54, while non-mangrove values were <2,30 and >19,54. …”
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Solving 0-1 Knapsack and Bin Packing Problem Using Logical Social Group Optimization by Rhiddhi Prasad Das, Junali Jasmine Jena, Suresh Chandra Satapathy, Naeem M. S. Hannoon

“…Moreover, the practical application of the proposed algorithm for simulation of path finding robots has been discussed to shed some light on the applicability of the algorithm. …”
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Grid-connected PV inverter system control optimization using Grey Wolf optimized PID controller by Monika Gupta, P. M. Tiwari, R. K. Viral, Ashish Shrivastava, Basem Abu Zneid, Iryna Hunko

“…The GWO algorithm iteratively refines PID parameters to achieve real-time adaptation to environmental fluctuations. …”
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Effect of Voltage Dependent Load Model on Placement and Sizing of Distributed Generator in Large Scale Distribution System by Gopisetti Manikanta, Ashish Mani, Hemender Pal Singh, Devendra Kumar Chaturvedi

“…In addition to AQiEA, four other algorithms (Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Gravitational Search Algorithm (GSA), Grey Wolf Optimization (GWO), and Ecogeography-based Optimization (EBO) with Classification based on Multiple Association Rules (CMAR)) have also been employed for comparison. …”
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Data-driven framework for prediction of mechanical properties of waste glass aggregates concrete by Kennedy C. Onyelowe, Shadi Hanandeh, Viroon Kamchoom, Ahmed M. Ebid, Hamza Imran, Miguel Angel Duque Vaca, Greys Carolina Herrera Morales, Nestor Ulloa, Krishna Prakash Arunachalam

“…Abstract This research presents a novel data-driven framework for predicting the mechanical properties of waste glass aggregate concrete using six advanced metaheuristic optimization algorithms: Bat Algorithm (Bat), Cuckoo Search Algorithm (Cuckoo), Elephant Herding Optimization (Elephant), Firefly Algorithm (Firefly), Rhinoceros Optimization Algorithm (Rhino), and Gray Wolf Optimizer (Wolf). …”
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Multi-criteria decision model for multicircular flight control of unmanned aerial vehicles through a hybrid approach by Noorulden Basil, Hamzah M. Marhoon, Bayan Mahdi Sabbar, Abdullah Fadhil Mohammed, Osamah Albahri, Ahmed Albahri, Abdullah Alamoodi, Iman Mohamad Sharaf, Amare Merfo Amsal, Mahrous Ahmed, Enas Ali, Sherif S. M. Ghoneim

“…This improvement may reduce operational risks and maintenance costs while increasing efficiency, prolonging UAV service life, and achieving energy savings. …”
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Designing diverse and high-performance proteins with a large language model in the loop. by Carlos A Gomez-Uribe, Japheth Gado, Meiirbek Islamov

“…We present a protein engineering approach to directed evolution with machine learning that integrates a new semi-supervised neural network fitness prediction model, Seq2Fitness, and an innovative optimization algorithm, biphasic annealing for diverse and adaptive sequence sampling (BADASS) to design sequences. …”
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Energy-Adaptive SGHSMC: A Particle-Efficient Nonlinear Filter for High-Maneuver Target Tracking by Chang Ho Kang, Sun Young Kim

“…The proposed method features a novel energy function that automatically adapts to target dynamics while minimizing the need for resampling operations. …”
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Automatic extraction of 3d building meshes from LiDAR data by Jan Voříšek, Bořek Patzák, Daniel Rypl

“…Nowadays, engineers manually separate buildings and draw corresponding floor plans or any other required entities, making creating such a model nearly impossible for the whole city. In this contribution, we present the design and concept of a C++ library that provides fundamental algorithmic tools for automated detection of the ground points, separation of buildings into individual point clouds, and segmentation of walls and roofs. …”
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CARDIO-ONCOLOGY IN TREATMENT AND REHABILITATION PROGRAMS OF ONCOLOGICAL PATIENTS by M. F. Balluzek, A. K. Ionova

“…The need of development of the new interdisciplinary direction — cardio-oncology — in algorithm of treatment and rehabilitation process is revealed.…”
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Monotone Data Visualization Using Rational Trigonometric Spline Interpolation by Farheen Ibraheem, Maria Hussain, Malik Zawwar Hussain

“…The rational cubic function has four parameters in each subinterval, while the rational bicubic partially blended function has eight parameters in each rectangular patch. …”
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