Identification of the immune infiltration and biomarkers in ulcerative colitis based on liquid–liquid phase separation-related genes by Zhixing Hong, Shilin Fang, Haihang Nie, Jingkai Zhou, Yuntian Hong, Lan Liu, Qiu Zhao

“…We identified the hub LLPS-RGs (DE-LLPS-RGs) (HSPB3, SLC16A1, TRIM22, SRI, PLEKHG6, GBP1, PADI2) by machine learning algorithms. Hub genes were screened that displayed high prediction accuracy of UC patients. …”
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Design and Implementation of an Ethical AI-Based Teaching Assistant for IoT Security Education by Matilda Isaacs, Anwar Majeed, Karim Moussa, Dolapo Shodipo

“…Central to the project's success was a robust design phase that included carefully selecting AI algorithms, a modular and scalable architecture, an intuitive user interface, and efficient data flow mechanisms. …”
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Modern air defense methods and countermeasures for use in operational-tactical missiles by Mykola Bondarenko, Mykhailo Vorobei

“…This article delves into the multifaceted realm of missile defense, scrutinizing a spectrum of methodologies from conventional anti-aircraft systems to cutting-edge artificial intelligence algorithms. The primary objective is to explore existing methodologies aimed at protecting military assets and countering high-precision weaponry. …”
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A comprehensive analysis of deep learning and transfer learning techniques for skin cancer classification by Manishi Shakya, Ravindra Patel, Sunil Joshi

“…This research investigates three approaches for classifying skin cancer images. (1) Utilizing three fine-tuned pre-trained networks (VGG19, ResNet18, and MobileNet_V2) as classifiers. (2) Employing three pre-trained networks (ResNet-18, VGG19, and MobileNet v2) as feature extractors in conjunction with four machine learning classifiers (SVM, DT, Naïve Bayes, and KNN). (3) Utilizing a combination of the aforementioned pre-trained networks as feature extractors in conjunction with same machine learning classifiers. All these algorithms are trained using segmented images which are achieved by using the active contour approach. …”
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Prediction of Network Threats and Attacks by Mathematical Simulation by Daniil Doroshenko

“…Using these models makes it possible to create precise algorithms to prevent attacks, which in turn achieve the reliability and security of the network infrastructure. …”
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Microwave sea ice and ocean brightness temperature and emissivity between 22 and 243 GHz from ship-based radiometers by Janna E. Rückert, Andreas Walbröl, Nils Risse, Pavel Krobot, Rainer Haseneder-Lind, Mario Mech, Kerstin Ebell, Gunnar Spreen

“…Our results can improve the characterization of surface emissions in satellite retrieval algorithms.…”
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Prevention and management of degenerative lumbar spine disorders through artificial intelligence-based decision support systems: a systematic review by Paolo Giaccone, Federico D’Antoni, Fabrizio Russo, Luca Ambrosio, Giuseppe Francesco Papalia, Onorato d’Angelis, Gianluca Vadalà, Albert Comelli, Luca Vollero, Mario Merone, Rocco Papalia, Vincenzo Denaro

“…Several different machine learning and deep learning algorithms were employed, and their predictive ability on clinical, demographic, psychosocial, and imaging data was assessed. …”
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Vision-Based Pick and Place Control System for Industrial Robots Using an Eye-in-Hand Camera by van-Truong Nguyen, Phu-Tuan Nguyen, Shun-Feng Su, Phan Xuan Tan, Thanh-Lam Bui

“…To address this issue, our research focuses on utilizing a low-cost 2D camera combined with deep learning algorithms mounted on the end-effector of the robotic arm. …”
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Using computer modeling to find new LRRK2 inhibitors for parkinson’s disease by María C. García, Sebastián A. Cuesta, José R. Mora, Jose L. Paz, Yovani Marrero-Ponce, Frank Alexis, Edgar A. Márquez

“…This study aims to create a detailed dataset to build strong predictive models with various machine learning algorithms. An ensemble modeling approach was employed to screen the DrugBank database, aiming to repurpose approved medications as potential treatments for Parkinson’s disease (PD). …”
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UAV With the Ability to Control with Sign Language and Hand by Image Processing by Hediyeh Hojaji, Alireza Delisnav, Mohammad Hossein Ghafouri Moghaddam, Fariba Ghorbani, Shadi Shafaghi, Masoud Shafaghi

“…Data collection involved capturing various hand gestures under various environmental conditions to train and validate our recognition algorithms, including implementing YOLO V5 alongside Python libraries with OpenCV. …”
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Modified AlexNet Convolution Neural Network For Covid-19 Detection Using Chest X-ray Images by Shadman Q. Salih, Hawre Kh. Abdulla, Zanear Sh. Ahmed, Nigar M. Shafiq Surameery, Rasper Dh. Rashid

“…Deep learning and transfer learning algorithms are good techniques to detect disease from different image source types such as X-Ray and CT scan images. …”
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Clinical Practice Guidelines of the Russian Society for the Study of the Liver, the Russian Gastroenterological Association, the National Scientific Society of Infectious Disease S... by V. T. Ivashkin, V. P. Chulanov, N. A. Mamonova, M. V. Maevskaya, M. S. Zharkova, I. N. Tikhonov, P. O. Bogomolov, E. V. Volchkova, A. S. Dmitriev, O. O. Znojko, E. A. Klimova, K. V. Kozlov, I. E. Kravchenko, E. Yu. Malinnikova, R. V. Maslennikov, M. I. Mikhailov, K. E. Novak, I. G. Nikitin, V. E. Syutkin, E. V. Esaulenko, A. A. Sheptulin, E. N. Shirokova, N. D. Yushchuk

“…Аim: diagnosis and treatment algorithms in the clinical recommendations intended for general practitioners, gastroenterologists, infectious disease specialists, hepatologists on the of chronic hepatitis C are presented.Summary. …”
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The utility of robotic-assisted surgery in total knee arthroplasty for moderate and severe valgus deformities: a case series by Charles Poh Thean Ang, Kunalan Ganthel, Jade Pei Yuik Ho, Khanchana Devi, Juliet Kar Yan Cheong

“…Its advantage lies in the soft tissue algorithms. Presently, there is paucity of information on the use of robotic-assisted TKA in addressing moderate and severe valgus deformities. …”
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Analyzing and forecasting under-5 mortality trends in Bangladesh using machine learning techniques. by Shayla Naznin, Md Jamal Uddin, Ishmam Ahmad, Ahmad Kabir

“…<h4>Methods</h4>Data from the 1993-94 to 2017-18 Bangladesh Demographic and Health Survey (BDHS) was analyzed using advanced machine learning algorithms. Key metrics, including Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), R-squared, and Mean Absolute Percentage Error (MAPE), were employed to evaluate model performance. …”
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THE ACCEPTANCE OF AN EDUCATIONAL INTEGRATED DEVELOPMENT ENVIRONMENT TO LEARN PROGRAMMING FUNDAMENTALS by Nor Farahwahida Mohd Noor, Aslina Saad, Abu Bakar Ibrahim, Norashady Mohd Noor

“…The goal is to guide the users in problem-solving and help them write C programs based on problem-solving algorithms. The Rapid Application Development (RAD) Model was employed in the C-SOLVIS development process. …”
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Blood-based biomarkers in patients with non-small cell lung cancer treated with immune checkpoint blockade by Yo-Ting Tsai, Jeffrey Schlom, Renee N. Donahue

“…Integration of multiple blood-based biomarkers into comprehensive panels or algorithms also has the potential to enhance predictive accuracy. …”
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Constructing a machine learning model for systemic infection after kidney stone surgery based on CT values by Jiaxin Li, Yao Du, Gaoming Huang, Yawei Huang, Xiaoqing Xi, Zhenfeng Ye

“…Five machine learning algorithms and ten preoperative or intraoperative variables were used to develop a predictive model for SIRS. …”
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Relationship Between Weight Status and Health-Related Quality of Life in School-age Children in China by Mandana Zanganeh, Peymané Adab, Bai Li, Miranda Pallan, Wei J. Liu, Lin Rong, Wei Liu, James Martin, Kar K. Cheng, Emma Frew

“…CHU-9D-CHN utility scores were generated using 2 scoring algorithms (UK and Chinese tariffs). Height and weight measures were taken at school by trained researchers using standardized methods, and BMI _z_ scores were calculated using the World Health Organization 2007 growth charts. …”
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Panoramic radiographic features for machine learning based detection of mandibular third molar root and inferior alveolar canal contact by A. Canberk Ulusoy, Tuğçe Toprak, M. Alper Selver, Pelin Güneri, Betül İlhan

“…Future work should focus on developing automated segmentation algorithms for M3M and IAC on PRs, to identify relevant anatomical structures, thereby improving clinical usability. …”
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Diagnostic value of the appendicitis inflammatory response (AIR) score. A systematic review and meta-analysis by Roland E. Andersson, Joachim Stark

“…Abstract Background Clinical scoring algorithms are cost efficient in patients with suspicion of acute appendicitis. …”
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