Edge-optimized multimodal cross-fusion architecture for efficient crop disease detection by Thomas Kinyanjui Njoroge, Kelvin Mugoye Shindu, Rachael Kibuku

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Drone-Based Digital Phenotyping to Evaluating Relative Maturity, Stand Count, and Plant Height in Dry Beans (Phaseolus vulgaris L.) by Leonardo Volpato, Evan M. Wright, Francisco E. Gomez

“…Additionally, the pipeline and open-source software developed hold potential to significantly benefit the phenotyping community.…”
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Multi-task advanced convolutional neural network for robust lymphoblastic leukemia diagnosis, classification, and segmentation by Sercan Yalcin, Zuhal Cetin Yalcin, Muhammed Yildirim, Bilal Alatas

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Wellcounter: Automated high‐throughput phenotyping for aquatic microinvertebrates by Claus‐Peter Stelzer, Dominique Groffman

“…Our prototype can handle 84 six‐well plates in two batches, ensuring efficient imaging and analysis of over 500 populations. The software, developed in Python, supports detailed population size measurements, growth rate analysis and swimming behaviour quantification. …”
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Demonstration of a Novel SLM-Based PAPR Reduction Method for GFDM Using USRP Testbed by Kishore Vejandla, Prashanth Ragam, Sivaprasad Valluri, Chakravarthy Gunturu, K. N. G. B. Yaswanth, Shravan Kumar Bandari, Sankati Jyothi

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AI-Driven Resource Allocation for RIS-Assisted NOMA in IoT Networks by Syed M. Hamedoon, Jawwad Nasar Chattha, Umair Rashid, S. M. Ahsan Kazmi, Manuel Mazzara

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Development of a handheld chlorophyll content detector on wheat and maize leaves based on RGB sensor by Weidong Pan, Heng Ma, Rui Wang, Hongrui Wang, Dong Wang, Wenchuan Guo, Xiangkai Guo

“…The detector was mainly composed of a microcontroller, RGB sensor, light source, and power management module, etc. The software, developed in Keil μVision5, was composed of a main function and several sub-functions, such as the leaf color collection sub-function, data processing sub-function, key sub-function, and display sub-function. …”
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ISO/IEC 25010-based Quality Evaluation of Three Mobile Applications for Reproductive Health Services in Morocco by Karima Moumane, Ali Idri, Fatiha El Aouni, Jihad Laghnimi, Naoual Chaouni Benabdellah, Oussama Hamal

“…It underscores the importance of integrating SPQ characteristics into the software development process to ensure the creation of high-quality products with essential key performance indicators (KPIs). …”
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Development and testing of an opioid tapering self-management intervention for chronic pain: I-WOTCH by Kirstie Haywood, Martin Underwood, Anisur Rahman, Kate Seers, Andrea D Furlan, Dipesh Mistry, Charles Abraham, Harbinder Kaur Sandhu, Sharisse Alleyne, Shyam Balasubramanian, Lauren Betteley, Katie Booth, Dawn Carnes, Ranjit Lall, Andrea Manca, Vivien P Nichols, Jennifer Noyes, Jane Shaw, Nicole K Y Tang, Colin Tysall, Sam Eldabe, Henry Adjei, Chockalingam Muthiah, Emma Padfield, Stephanie JC Taylor, Adrian Willis, Sheeja Manchira Krishnan, Cynthia Paola, Iglesis Urrutia

“…The team had expertise in the development and testing of complex health behaviour interventions, opioid tapering and pain management in primary and secondary care, I.T programming, and software development—to develop an opioid tapering App.Participants The I-WOTCH trial participants are adults (18 years and over) with chronic non-malignant pain using strong opioids for at least 3 months and on most days in the preceding month.Outcomes A multicomponent self-management support package to help people using opioids for chronic non-malignant pain reduce opioid use.Interventions and results Receiving information on the impact of long-term opioid use, and potential adverse effects were highlighted as important facilitators in making the decision to reduce opioids. …”
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Virtual Reality Critical Thinking Training of Engineers in the Vertical Transportation Industry by Yavar Jarrah-Nezhad, Luis A. Paipa-Galeano, Cesar A. Bernal-Torres, Wilmer Garzon-Alfonso, Yamid Delghans-Jacome, Andres Felipe Paez-Caicedo

“…Concerns have emerged regarding the expenses associated with integrating virtual reality into the digital transformation of companies, stemming from costs related to 3D software development and procurement of headsets. Despite the acknowledged benefits of experiential learning in military training, education and medicine, industrial adoption of virtual reality remains constrained. …”
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Development of the automated system for assessing radiation risks to the population of the Russian Federation based on the data of radiation-hygienic certification of territories by R. R. Akhmatdinov, A. M. Biblin, L. V. Repin

“…The methodological basis for the software development is guideline MR 2.6.1.0145-19 “Calculation of radiation risk according to the data contained in the radiation-hygienic passports of the territories to provide a comprehensive comparative assessment of the radiation safety status of the population of the subjects of the Russian Federation”. …”
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Computerized Analysis of the Eye Vasculature in a Mass Dataset of Digital Fundus Images: The Example of Age, Sex, and Primary Open-Angle Glaucoma by Jonathan Fhima, MSc, Jan Van Eijgen, MD, PhD, Anat Reiner-Benaim, PhD, Lennert Beeckmans, MSc, Or Abramovich, MSc, Ingeborg Stalmans, MD, PhD, Joachim A. Behar, PhD

“…By enabling the reproducible analysis of extensive datasets, this approach provides valuable insights into the state of retinal vascular health and its broader implications for cardiovascular and ocular health. The software developed through this research will be made publicly available upon publication, offering a critical tool for ongoing and future studies in retinal vasculature. …”
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Secondary exposure and risk assessment of biocides as disinfectant sprays for COVID-19 prevention by Gihong Min, Jihun Shin, Youngtae Choe, Dongjun Kim, Jaemin Woo, Byunglyul Woo, Jangwoo Lee, Mansu Cho, Kilyong Choi, Wonho Yang

“…The inhalation and dermal exposure algorithms in ConsExpo 4.0, a software developed by the Dutch National Institute for Public Health and the Environment (RIVM), were used to assess the risk of active substances in biocidal products. …”
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Application of the Double Approximation Method for Constructing Stiffness Matrices of Volumetric Finite Elements by P. P. Gaidzhurov, N. A. Saveleva

“…The storage and processing of the resulting system of equations was implemented in algorithmic terms of sparse matrices. Software development and computational experiments were carried out using the Microsoft Visual Studio 2013 64-bit computing platform and the Intel ® Parallel Studio XE 2019 compiler with the integrated Intel ® Visual Fortran Composer XE 2019 text editor. …”
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Education and Symptom Reporting in an mHealth App for Patients With Cancer: Mixed Methods Development and Validation Study by Carolina Muñoz Olivar, Miguel Pineiro, Juan Sebastián Gómez Quintero, Carlos Javier Avendaño-Vásquez, Pablo Ormeño-Arriagada, Silvia Palma Rivadeneira, Carla Taramasco Toro

“…The app was designed by a multidisciplinary team, including nurses, medical professionals, pharmaceutical chemists, computer engineers, and software developers, using agile methodologies. For validation, the app was assessed by 13 evaluators, including clinical professionals (nurses and physicians) and engineers. …”
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Artificial intelligence in teaching programming to students of pedagogical university by I. A. Yashina

“…Artificial intelligence tools used in professional software development have been analyzed. The experiment of using the online development environment Replit with artificial intelligence technology in Python programming course for students of pedagogical university was carried out. …”
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Analysis of Management of Patients with COVID-19 in a Temporary Infectious Diseases Hospital Deployed on the Facilities of Republican TB Dispensary, the Republic of Tatarstan by A. A. Vizel, S. A. Shayakhmetova, A. P. Alekseev, I. Yu. Vizel, A. V. Nikitin, A. A. Galimov

“…Data of 143 patients (39.2% men and 60.8% women) aged 31 to 93 years old were collected and systematized using the COVIZ software (developed in the Republic of Tatarstan to analyze COVID-19 patient management, C#). …”
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Adverse Childhood Experiences (ACEs) in Specific Vulnerable Developmental Periods Can Increase the Likelihood of Chronic Pain in Adulthood—Results from a Cross-Sectional Study by David Riedl, Christina Kirchhoff, Ulrich T. Egle, Tobias Nolte, Michael Tschuggnall, Gerhard Rumpold, Wilhelm Kantner-Rumplmair, Vincent Grote, Michael J. Fischer, Astrid Lampe

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Artificial Intelligence Technology Based on Deep Learning in Building Construction Management System Modeling by Hongbo Wang, Yan Hu

“…This system model prepares for software development and is conducive to improving the progress reliability control level of construction enterprises. …”
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VP-SFDA: Visual Prompt Source-Free Domain Adaptation for Cross-Modal Medical Image by Yixin Chen, Yan Wang, Zhaoheng Xie

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