AIMP-Based Power Allocation for Radar Network Tracking Under Countermeasures Environment by Xiaoyou Xing, Longxiao Xu, Lvwan Nie, Xueting Li

“…However, in a countermeasures environment, increasing the transmit power of a radar may not lead to a higher SINR due to suppressive jamming. …”
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Empirical Data-Driven Linear Model of a Swimming Robot Using the Complex Delay-Embedding DMD Technique by Mostafa Sayahkarajy, Hartmut Witte

“…We hypothesized that data-driven modeling techniques may extract models or patterns of the swimmers’ dynamics without implicitly measuring the hydrodynamic variables. …”
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Estimation and Application for Line Impedance Between IBR and POM by Woo-Hyun Kim, Ye-Chan Kim, Seung-Ho Song

“…To address potential voltage unbalance issues that may arise during the injection process, a dedicated compensation algorithm is also proposed. …”
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Innovative Approach to Conceptual Design of Enterprise Risk Management Software by Petar Stanojević, Mirjana Misita, Goran Đurić, Bogdan Kuzmanović, Mladen Milošević, Daniel Balos

“…The algorithm, model and software were developed and successfully tested in two Serbian companies.…”
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Peri-implant fractures proximal to a long retrograde femoral nail – A case series by Lam Wei Sze Yvette (林慧思), Lau Janice Chi Kay (劉旨琦), Ip Ka Chun (葉家俊), Shen Wan Yiu (沈允堯)

“…Low energy peri-trochanteric fractures may happen in the presence of a retrograde nail in the femur. …”
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A policy conflict detection mechanism for multi-controller software-defined networks by You Lu, Qiming Fu, Xuefeng Xi, Zhenping Chen, Encen Zou, Baochuan Fu

“…However, in this architecture, multiple controllers may cause conflicts in the flow policies, which may cause failures such as security and route conflicts. …”
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An Extendable Python Implementation of Robust Optimization Monte Carlo by Vasilis Gkolemis, Michael Gutmann, Henri Pesonen

“…Our implementation can be used in two ways. First, a scientist may use it as an out-of-the-box LFI algorithm; we provide an easy-to-use API harmonized with the principles of elfi, enabling effortless comparisons with the rest of the methods included in the package. …”
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Maximizing edge connectivity in graph partitioning using hotspots by Isam A. Alobaidi, Hiba G. Fareed, Jennifer L. Leopold, Andrea E. Smit

“…For some applications, a single graph is sufficient; for other problems, a collection of graphs may be more appropriate to represent the underlying data. …”
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Computed Tomography Angiography Successfully Used to Diagnose Postoperative Systemic-Pulmonary Artery Shunt Narrowing by Kurt D. Piggott, David G. Nykanen, Susan Smith

“…Treatment or palliative strategies vary but may include systemic-pulmonary central or Blalock-Taussig shunt. …”
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Quasi-Uniform Density Non-Solid Infill Strategy for Axisymmetric Non-Planar Additive Manufacturing by Alvaro Guzman-Bautista, Adrián López-Arrabal, Elio Sanchez-Oro-Aguado, Andrea Fernández Gorgojo, Ramiro García-Galán, Francisco J. Badesa, Antonio Vizan-Idoipe

“…Providing solutions to this problem may result in significant energy, build cycle time, and cost savings. …”
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Sonographic machine-assisted recognition and tracking of B-lines in dogs: the SMARTDOG study by Aurélie Jourdan, Aurélie Jourdan, Caroline Dania, Caroline Dania, Maxime Cambournac, Maxime Cambournac

“…Artificial intelligence (AI) may offer standardized, real-time analysis, but its application in veterinary medicine is largely unexplored.ObjectiveTo assess the performance of an AI-based ultrasound algorithm in detecting B-lines in dogs and to evaluate its agreement with manual quantification by experienced operators.MethodsIn this prospective study conducted at a single center, 40 dogs were enrolled: 20 with suspected CPE and 20 healthy controls. …”
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Reliably quantifying the severity of social symptoms in children with autism using ASDSpeech by Marina Eni, Yaniv Zigel, Michal Ilan, Analya Michaelovski, Hava M. Golan, Gal Meiri, Idan Menashe, Ilan Dinstein

“…Abstract Several studies have demonstrated that the severity of social communication problems, a core symptom of Autism Spectrum Disorder (ASD), is correlated with specific speech characteristics of ASD individuals. This suggests that it may be possible to develop speech analysis algorithms that can quantify ASD symptom severity from speech recordings in a direct and objective manner. …”
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Molecular epidemiology of enteroviruses from Guatemalan wastewater isolated from human lung fibroblasts. by Leanna Sayyad, Chelsea Harrington, Christina J Castro, Hanen Belgasmi-Allen, Stacey Jeffries Miles, Jamaica Hill, María Linda Mendoza Prillwitz, Lorena Gobern, Ericka Gaitán, Andrea Paola Delgado, Leticia Castillo Signor, Marc Rondy, Gloria Rey-Benito, Nancy Gerloff

“…Using the additional cell line in the existing poliovirus ES algorithm may add value by providing data about EV circulation, without additional sample collection or processing. …”
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Accelerated Transfer Learning for Cooperative Transportation Formation Change via SDPA-MAPPO (Scaled Dot Product Attention-Multi-Agent Proximal Policy Optimization) by Almira Budiyanto, Keisuke Azetsu, Nobutomo Matsunaga

“…On the other hand, re-learning may be required in unrecognized circumstances by using the MADDPG method. …”
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Accurate determination of breed origin of alleles in a simulated smallholder crossbred dairy cattle population by Berihu Welderufael, Isidore Houaga, R. Chris Gaynor, Gregor Gorjanc, John M. Hickey

“…Abstract Background Accurate assignment of breed origin of alleles (BOA) at a heterozygote locus may help to introduce a resilient or adaptive haplotype in crossbreeding. …”
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Assessment of a simple methodology for the identification of inertial parameters of semi-trailers by Tommaso Vannuccini, Riccardo Bartolozzi, Francesco Bucchi, Francesco Frendo, Marco Gabiccini

“…Within this context, models, and algorithms controlling the automated drive need to identify the mass and other inertia parameters related to the actual vehicle condition, which may vary during a mission (due to the transported goods arrangement).In this paper, a simple methodology based on an identification algorithm for the inertial parameters of a semi-trailer is presented, as well as an assessment of its result quality. …”
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Harnessing greylag goose optimization for efficient MPPT and seven-level inverter in renewable energy systems by K. Rajaram, R. Kannan

“…The proposed MPPT-based seven-level invertersystem was simulated using MATLAB. The proposed GGO algorithm achieved a minimal THD of 1.95%, surpassing methods such as salp swarm optimization (6.14%), artificial neural networks with fuzzy logic (5.9%), hybrid global selective algorithm (GSA) selective harmonic elimination (7.7%), and genetic algorithms with particle swarm optimization (10.84%), demonstrating its exceptional efficacy in improving power quality.…”
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Adaptive Anomaly Detection Framework Model Objects in Cyberspace by Hasan Alkahtani, Theyazn H. H. Aldhyani, Mohammed Al-Yaari

“…A comparative result analysis between the machine learning algorithms, namely SVM and KNN, and the deep learning algorithms based on the LSTM-RNN model is presented. …”
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NLP-Driven Analysis of Pneumothorax Incidence Following Central Venous Catheter Procedures: A Data-Driven Re-Evaluation of Routine Imaging in Value-Based Medicine by Martin Breitwieser, Vanessa Moore, Teresa Wiesner, Florian Wichlas, Christian Deininger

“…<b>Background</b>: This study presents a systematic approach using a natural language processing (NLP) algorithm to assess the necessity of routine imaging after central venous catheter (CVC) placement and removal. …”
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Comparison of Deep Learning and Clinician Performance for Detecting Referable Glaucoma from Fundus Photographs in a Safety Net Population by Van Nguyen, MD, Sreenidhi Iyengar, Haroon Rasheed, MD, Galo Apolo, Zhiwei Li, Aniket Kumar, Hong Nguyen, Austin Bohner, MD, Kyle Bolo, MD, Rahul Dhodapkar, MD, Jiun Do, MD, PhD, Andrew T. Duong, MD, Jeffrey Gluckstein, MD, Kendra Hong, MD, Lucas L. Humayun, Alanna James, MD, Junhui Lee, MD, Kent Nguyen, OD, Brandon J. Wong, MD, Jose-Luis Ambite, PhD, Carl Kesselman, PhD, Lauren P. Daskivich, MD, Michael Pazzani, PhD, Benjamin Y. Xu, MD, PhD

“…Purpose: Develop and test a deep learning (DL) algorithm for detecting referable glaucoma. Design: Retrospective cohort study. …”
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