Software complex for simulation modelling of single nucleotide genetic polymorphism sites by M. M. Yatskou, D. D. Sarnatski, V. V. Skakun, V. V. Grinev

“…The software complex includes an R package, a web application, and auxiliary computational tools for processing experimental genomic sequencing data.Results. …”
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ADVANCED SHADING TECHNIQUES IN ARAHWEAVE by ARNĂUTU Irina

“…In the dynamic world of textile design, where digital tools have revolutionized the process of creating patterns, ARAHNE software programs, ArahPaint, ArahWeave, ArahDrape and ArahView 3D, are recognized as leading CAD/CAM software tailored for professionals. …”
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Analysis of Innovation Modes in the Russian Economy: Methodological Approaches and First Results by Leonid Gokhberg, Tatiana Kuznetsova, Vitaliy Roud

“…Since the results show implications of the global crisis and the performance of the tools of state regulation, it was important to use a methodology comparable to that of the EMS on key parameters.  …”
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PHASE: a Matlab-based software for the DInSAR PS processing by Roberto Monti, Lorenzo Rossi

“… The availability of free Synthetic Aperture Radar (SAR) images, like the ones delivered by the ESA Copernicus Sentinel-1 satellites, has led to the development of several processing tools, some of which are also free and open source. …”
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Verity plots: A novel method of visualizing reliability assessments of artificial intelligence methods in quantitative cardiovascular magnetic resonance. by Thomas Hadler, Clemens Ammann, Hadil Saad, Leonhard Grassow, Philine Reisdorf, Steffen Lange, Sascha Däuber, Jeanette Schulz-Menger

“…<h4>Background</h4>Artificial intelligence (AI) methods have established themselves in cardiovascular magnetic resonance (CMR) as automated quantification tools for ventricular volumes, function, and myocardial tissue characterization. …”
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Expanding and improving analyses of nucleotide recoding RNA-seq experiments with the EZbakR suite. by Isaac W Vock, Justin W Mabin, Martin Machyna, Alexandra Zhang, J Robert Hogg, Matthew D Simon

“…Current bioinformatic tools significantly constrain analyses of NR-seq data. …”
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Current–Pressure Dynamics Modeling on an Annular Magnetorheological Valve for an Adaptive Rehabilitation Device for Disabled Individuals by Fitrian Imaduddin, Zaenal Arifin, Ubaidillah, Essam Rabea Ibrahim Mahmoud, Abdulrahman Aljabri

“…Experimental data are used to develop a set of transfer function models, with parameters identified through MATLAB’s system identification tools, utilizing invariant variable regression and the Levenberg–Marquardt (LM) iteration. …”
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A deep-learning-based consistency test approach for Earth system models on HPC systems by Yangyang Yu, Shaoqing Zhang, Haohuan Fu, Dexun Chen, Yang Gao, Xiaopei Lin, Zhao Liu, Xiaojing Lv

“…The results show that the ESM-DCT can determine whether or not the new model simulations are statistically distinguishable from the original trusted ensembles in the case of the heterogeneous computing environment, compiling optimization option changes, and model parameter changes. Our ESM-DCT tool provides an efficient and objective approach for verifying the reliability of the development and optimization of ESMs on HPC systems.…”
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Self-Supervised Neural Networks for Precoding in MIMO Rate Splitting Multiple Access Systems by Dheeraj Raja Kumar, Carles Anton-Haro, Xavier Mestre

“…The use of machine learning (ML) tools to address the challenges posed in next generation of wireless communication systems has been gaining significant momentum. …”
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Machine Learning and IoT-Based Solutions in Industrial Applications for Smart Manufacturing: A Critical Review by Paolo Visconti, Giuseppe Rausa, Carolina Del-Valle-Soto, Ramiro Velázquez, Donato Cafagna, Roberto De Fazio

“…Furthermore, for each discussed topic, a deep comparative analysis of the recent IoT solutions reported in the scientific literature is introduced, dwelling on the architectural aspects, sensing solutions, implemented data analysis strategies, communication tools, performance, and other characteristic parameters. …”
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Improved internal short circuit models for thermal runaway simulations in lithium-ion batteries by Bakhshish Preet Singh, Yashraj Gurumukhi, Engin Tekinalp, Hao Wu, Myung Ki Sung, Nenad Miljkovic

“…Thermal runaway (TR) modeling is one of the primary tools that can be used to overcome challenges associated with lithium-ion battery (LIB) safety. …”
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Multimodal dataset linking wide‐field calcium imaging to behavior changes in operant lever‐pull task in mice by Masashi Kondo, Keisuke Sehara, Rie Harukuni, Ryo Aoki, Shoya Sugimoto, Yasuhiro R. Tanaka, Masanori Matsuzaki, Ken Nakae

“…Data are formatted in accordance with the Neurodata Without Borders (NWB) standard, ensuring compatibility with existing analysis tools and adherence to the FAIR principles (Findable, Accessible, Interoperable, Reusable). …”
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DESIGN OF SMART TOURISM SYSTEMS TO FORECAST FOREIGN TOURIST ARRIVAL RATE USING DEEP LEARNING TECHNIQUES by Ratna Kanth Gudala, Ravi Kumar Suggala, Venkata Nagaraju Datla, Sri Krishna Adusumalli

“…Additionally, the study conducts yearly trend analysis for essential parameters like domestic tourism, tourism's impact on GDP, foreign exchange earnings, and government expenditure, using visualization tools. …”
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INTELLIGENT MATCHING TECHNIQUE FOR FLEXIBLE ANTENNAS by Olena Semenova, Andriy Semenov, Stefan Meulesteen, Natalia Kryvinska, Hanna Pastushenko

“…That is why they are valuable tools for customizing antennas to specific operating conditions. …”
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Real-Time Deep Intelligence Analysis and Visualization of COVID-19 Using FCNN Mechanism by Cherukuri Triveni, K. Suvarna Vani, M. Likhitha

“…In this research work, covid-pandemic affects parameters like infected persons, deaths, active cases, and recovering cases. …”
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Learning computer-aided manufacturing from demonstration: a case study with probabilistic movement primitives in robot wood carving by Daniel Schäle, Martin F. Stoelen, Erik Kyrkjebø

“…Computer-Aided Manufacturing (CAM) tools are a key component in many digital fabrication workflows, translating digital designs into machine instructions to manufacture physical objects. …”
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The Role of Nanomaterials in the Wearable Electrochemical Glucose Biosensors for Diabetes Management by Tahereh Jamshidnejad-Tosaramandani, Soheila Kashanian, Kobra Omidfar, Helgi B. Schiöth

“…Wearable electrochemical biosensors have emerged as promising tools for continuous glucose monitoring (CGM), particularly through sweat-based platforms. …”
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Tactile Sensing and Grasping Through Thin‐Shell Buckling by Kieran Barvenik, Zachary Coogan, Gabriele Librandi, Matteo Pezzulla, Eleonora Tubaldi

“…Guided by analytical, numerical, and experimental tools, the novel grasping principle of this mechanics‐based soft gripper is explored. …”
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An open source simulator for prism sensors based on lossy mode resonance effect by Adeilson de Sousa Leal, Isa Cristina Gonçalves de Paiva, Eloise dos Passos Rodrigues, Helder Alves Pereira

“…Thereby, these simulation tools are used to design the sensor structure and to reduce operating costs, since that the instruments and materials used are expensive and require care in instrumental handling. …”
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A Matlab-based application for enhanced controller tuning in ArduSub ROVs: ATControlROV by Ana Isabel Vázquez Mejías, Juan Carlos de la Torre, Mariano Marcos-Pérez, Andrés Yáñez Escolano, Guillermo Bárcena-González

“…By democratizing access to advanced control optimization tools, ATControlROV empowers researchers and practitioners to enhance the operational efficiency of underwater vehicles, fostering innovation in academic and professional applications, especially in the underwater robotics community.…”
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