Novel and Optimized Efficient Transmission Using Dynamic Routing Technique for Underwater Acoustic Sensor Networks by Swapna Babu, Bhuvaneswari Subramanian, Sujitha Madhavadhas, Kavitha Ganesan, Manjula Dhandapani, Surendiran Muthukumar Deva

“…In an effort to enhance the energy, transmission, and overall lifespan of the Underwater Acoustic Sensor Network (UASN), we have devised a Heuristic Search Algorithm called the Multi-population Harmony Search Algorithm. …”
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Proactive Frequency Stability Scheme Based on Bayesian Filters and Spectral Clustering by Gian Paramo, Mario D. Baquedano-Aguilar, Arturo Bretas, Sean Meyn

“…When a disturbance is detected, the state of frequency is predicted a few seconds into the future via a particle filter algorithm. …”
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PULMONARY ARTERIAL HYPERTENSION DIAGNOSTICS SPECIFICS IN SYSTEMIC SCLERODERMIA by M. A. Simakova, A. L. Maslyansky, A. V. Naymushin, N. A. Klyaus, O. M. Moiseeva

“…Current guidelines for PAH diagnostics use DETECT algorithm as recommended for application in patients with SSD lasting for more than 3 years and DLco below 60%. …”
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Risk factors and bone mineral density in predicting the risk of fracture in postmenopausal women by O. A. Nikitinskaya, N. V. Toroptsova, N. V. Demin

“…The Russian model FRAX®, an algorithm for estimating the 10-year absolute risk of fractures, which is based on the identification of risk factors that increase fracture risk, was proposed in 2012 to detect people at high risk for fracture.Objective: to estimate the sensitivity and specificity of the Russian model FRAX® versus dual energy X-ray absorptiometry (DEXA) for predicting high fracture risk.Patients and methods. …”
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Mo.Se.: Mosaic image segmentation based on deep cascading learning by Andrea Felicetti, Marina Paolanti, Primo Zingaretti, Roberto Pierdicca, Eva Savina Malinverni

“…(Mosaic Segmentation) algorithm is described with the purpose to perform robust image segmentation to automatically detect tesserae in ancient mosaics…”
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Modal Regression Estimation by Local Linear Approach in High-Dimensional Data Case by Fatimah A. Almulhim, Mohammed B. Alamari, Ali Laksaci, Zoulikha Kaid

“…This paper introduces a new nonparametric estimator for detecting the conditional mode in the functional input variable setting. …”
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DGM-TOP: automatic identification of the critical boundaries in atrial tachycardia by Robin Van Den Abeele, Sander Hendrickx, Niels Carlier, Eike M. Wülfers, Arthur Santos Bezerra, Bjorn Verstraeten, Sebastiaan Lootens, Karel Desplenter, Arstanbek Okenov, Timur Nezlobinsky, Annika Haas, Armin Luik, Sebastien Knecht, Mattias Duytschaever, Nele Vandersickel

“…The algorithm used analyzes the electroanatomical map of the patient, extracting the nodes at each boundary. …”
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Method for long-term coherent-noncoherent signal accumulation with non-zero higher derivatives range to radar target by S. V. Kozlov, Van Cuong Le

“…Using the theories of ordinal statistics and the method of moments, a method for calculating the probability of correct detection is developed. Estimates of processing losses are made in comparison with coherent and incoherent accumulation algorithms for a signal reflected from a point target, for the case when there is no range and frequency migration. …”
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Machine Learning-Driven Prediction of Vitamin D Deficiency Severity with Hybrid Optimization by Usharani Bhimavarapu, Gopi Battineni, Nalini Chintalapudi

“…To gauge the effectiveness of the proposed IWOA algorithm, evaluation metrics like precision, accuracy, recall, and F1-score were used. …”
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Orbital Angular Momentum Shift Keying Based Optical Communication System by Caihong Kai, Pei Huang, Fei Shen, Hongping Zhou, Zhongyi Guo

“…In our phase hologram used at the receiver, the detected power of each OAM state can be controlled by adjusting the weight coefficient by the modified Lin's algorithm. …”
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Moving Target Recognition Based on HSV Color Space by FU Changfei, YE Bin, LI Huijun

“…For the basic task of recognizing and capturing the armors mounted on the opponent robots in real-time in the RoboMaster National University Robot Competition, a detecting algorithm based on the color features was proposed. …”
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Student Engagement Recognition: Comprehensive Analysis Through EEG and Verification by Image Traits Using Deep Learning Techniques by Ajitha Sukumaran, Arun Manoharan

“…In this paper, we propose an engagement recognition system that detects student engagement using EEG signals by integrating levels of valence and arousal with the Russel 2D circumplex model using deep learning algorithm. …”
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High-Resolution Computed Tomography of Single Breast Cancer Microcalcifications in Vivo by Kazumasa Inoue, Fangbing Liu, Jack Hoppin, Elaine P. Lunsford, Christian Lackas, Jacob Hesterman, Robert E. Lenkinski, Hirofumi Fujii, John V. Frangioni

“…Two ray-tracing image reconstruction algorithms were tested: a voxel-driven “fast” cone beam algorithm (FCBA) and a detector-driven “exact” cone beam algorithm (ECBA). …”
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Variables Selection in the Ultraviolet, Visible and Near Infrared Range for Calibration of a Mixture of Vegetable Oils by Absorbance Spectra by М. A. Khodasevich, D. A. Borisevich

“…Calibration uses three methods for spectral variables selection: the successive projections algorithm, the method of searching combination moving window, and method for ranking variables by correlation coefficient.The application of the successive projections algorithm, ranking variables by correlation coefficient and searching combination moving window makes it possible to reduce the value of the root mean square error of prediction from 0.63 % for wideband projection to latent structures to 0.46 %, 0.50 %, and 0.03 %, respectively.The developed method of multivariate calibration by projection to latent structures of absorbance spectra in UV, visible and near IR ranges using the spectral variables selection by searching combination moving window is a simple and effective method of detecting adulteration of flaxseed oil.…”
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Recent Facial Image Preprocessing Techniques: A Review by Rendra Soekarta, Ku Ruhana Ku-Mahamud

“…This review analyzes recent advancements in facial recognition and classification algorithms, emphasizing the critical role of preprocessing techniques in enhancing the algorithms’ accuracy, reliability, and efficiency. …”
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Real-Time Threat Mitigation in Financial IT Infrastructures Using Quantum Computing by Jean Marie Vianney Sindayigaya

“…Our findings indicate that quantum algorithms substantially enhance threat detection accuracy, reduce response latency, and ensure secure communication against quantum-powered threats. …”
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A novel computational method identifies intra- and inter-species recombination events in Staphylococcus aureus and Streptococcus pneumoniae. by Lisa Sanguinetti, Simona Toti, Valerio Reguzzi, Fabio Bagnoli, Claudio Donati

“…The locations of the recombination breakpoints are determined using a statistical test that is able to account for the differences in the natural rate of evolution between different genes. The algorithm was tested on a dataset of 75 genomes of Staphylococcus aureus and 50 genomes comprising different streptococcal species, and was able to detect intra-species recombination events in S. aureus and in Streptococcus pneumoniae. …”
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Kernel Density Based Spatial Clustering of Applications with Noise by Rohan Kalpavruksha, Roshan Kalpavruksha, Teryn Cha, Sung-Hyuk Cha

“… Density-Based Spatial Clustering of Applications with Noise (DBSCAN) is a widely used clustering algorithm renowned for its ability to identify clusters of arbitrary shapes and detect noise. …”
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Eight-Figure Pattern for Enhancing the Searching Process of Grey Wolf Optimization (Eight-GWO) by Lec. Ali Hakem Alsaeedi, Suha Muhammed Hadi, Yarub Alazzawi, Emad Badry Badry

“… Evolutionary algorithms suffer significantly from a stack at the local optima. …”
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A scalable distributed pipeline for reference-free variants calling by Lorenzo Di Rocco, Umberto Ferraro Petrillo

“…Furthermore, we introduce a cluster-driven algorithm to partition the De Bruijn graph across multiple independent machines according to the inner structure of the sequences under analysis, thus further improving the scalability of our pipeline. …”
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