CONTRAST-ENHANCED COMPUTED TOMOGRAPHIC CHOLANGIOGRAPHY IN DIFFERENTIAL DIAGNOSIS OF THE MALIGNANT AND BENIGN CAUSES OF BILIARY OBSTRUCTION by V. V. Zarubin, A. P. Kurazhov, V. D. Zavadovskaja, O. V. Rodionova, O. S. Tonkikh, I. Yu. Klinovitskiy, M. A. Zorkaltsev, V. I. Haritonkin

“…There is no generally accepted algorithm for determining the causes of biliary obstruction. …”
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SkinSage XAI: An explainable deep learning solution for skin lesion diagnosis by Geetika Munjal, Paarth Bhardwaj, Vaibhav Bhargava, Shivendra Singh, Nimish Nagpal

“…Abstract Background Skin cancer poses a significant global health threat, with early detection being essential for successful treatment. …”
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An efficient cost calculation method for disparity estimation of stereo matching considering shadow occlusion by Hongjun Sha, Wei Yuan, Xunping Wang, Xiuliu Yuan, Shunichi Koshimura

“…This research work proposes a novel cost calculation method that considers shadow occlusion areas to address the issues of poor disparity estimation in urban areas, termed Matching Cost based on Shadow Properties (MCSP), error estimation of the shadow occlusion area, which not only considers the problem of disparity error estimation in the shadow occlusion areas but also considers the problem of edge integrity and smoothness in the disparity estimation results. Firstly, a shadow detection model is established through the double constraints of spatial angle and distance to detect and mark the shadow areas in complex scenarios self-adaptively. …”
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AI-Driven Belt Failure Prediction and Prescriptive Maintenance with Motor Current Signature Analysis by João Paulo Costa, José Torres Farinha, Mateus Mendes, Jorge O. Estima

“…Through the integration of motor current signature analysis (MCSA) and machine learning algorithms, particularly long short-term memory (LSTM) networks, this study aims to predict and detect belt degradation in real time. …”
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Identification of the Optimal Model for the Prediction of Diabetic Retinopathy in Chinese Rural Population: Handan Eye Study by Shanshan Jin, Xu Zhang, Hanruo Liu, Jie Hao, Kai Cao, Caixia Lin, Mayinuer Yusufu, Na Hu, Ailian Hu, Ningli Wang

“…To identify an optimal model for diabetic retinopathy (DR) prediction in Chinese rural population by establishing and comparing different algorithms based on the data from Handan Eye Study (HES). …”
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The Talent Cultivation Model of Study Travel Majors in Universities Based on the Internet of Things and Deep Learning by Yanjie Zhan

“…This study integrates Internet of Things (IoT) technology with deep learning algorithms to propose a novel Educational Intelligent Multimodal Optimization System (EIMOS) model. …”
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THE IMPROVEMENT OF PROFESSIONAL TRAINING ORGANIZATION OF THE X-RAY SCREENING SYSTEMS OPERATORS BY USING THE EYE MOVEMENTS REGISTRATION SYSTEM AND METHODS OF CLUSTER AND DISCRIMINAN... by A. K. Volkov, V. V. Ionov

“…The X-ray screening systems operators’ professional training is based on the CBT (computer-based training) principle, which has algorithms of adaptive training. These algorithms in existing computer simulators include feedback mechanisms on the basis of trainability exponents – such as the frequency of detecting dangerous objects, the frequency of false alarms and detection time. …”
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Software Methodology for Data Control and Collection for Autonomous Monitoring Systems with a Large Amount of Generated Information on the Example of Software for a Hydrological Ra... by I. S. Serdiukov, V. I. Veremyev, Van Tuan Nguyen

“…In some applications, such a flow is redundant and can be optimized through the use of various algorithms for the primary processing of information. …”
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The Use of Machine Learning in the Diagnosis of Kidney Allograft Rejection: Current Knowledge and Applications by Tanja Belčič Mikič, Miha Arnol

“…In this review, we addressed studies that investigated the detection of kidney allograft rejection over the last decade using various ML algorithms. …”
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JMoE-FAP: A novel model for telecom network fraud victimization pattern analysis by Tuo Shi, Jing Hu, Danyang Li, Min Chen

“…The identified patterns can be used to design focused awareness campaigns, enhance fraud detection algorithms, and improve law enforcement training, thereby significantly increasing the effectiveness of anti-fraud initiatives.…”
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High-Performance Multi-Object Tracking for Autonomous Driving in Urban Scenarios With Heterogeneous Embedded Boards by Alessio Medaglini, Biagio Peccerillo, Sandro Bartolini

“…In this paper, we address the issues behind high-performance Multi-Object Tracking (MOT) algorithms for a real-world urban transportation scenario. …”
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Digital technologies for signal radio vision and radio monitoring by M. S. Kostin, K. A. Boikov

“…Radiophysical processes involving the electrodynamic formation of signal radio images diffusely scattered by the signature of small-sized objects or induced by the near field of radio devices are relevant for identifying radiogenomic (cumulant) features of objects in the microwave range in the development of neuroimaging ultra-short pulse (USP) signal radio vision systems, telemonitoring, and near-radio detection. The paper sets out to develop methods and algorithms for vector analysis of radio wave deformation of nonstationary fields forming a signal radio image based on radiophysical and topological characteristics of small-sized objects; to develop software and hardware for registration and neural network recognition of signal radio images, including methods for the synthesis and extraction of signal radiogenomes using digital twins of objects obtained through vector electrodynamic modeling; and to analyze signal radio images induced by elements of printed topology of electronic devices.Methods. …”
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Multi-label software requirement smells classification using deep learning by Ashagrew Liyih Alem, Ketema Keflie Gebretsadik, Shegaw Anagaw Mengistie, Muluye Fentie Admas

“…Abstract Software requirement smell detection is an important part of establishing high-quality software specifications. …”
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Novel identification of mAbs by Raman spectroscopy by Maoqin Duan, Jun Liu, Lan Wang, Jialiang Du, Jialing Zhang

“…Additionally, the Raman technique with principal component analysis of multivariate algorithms is rapid, efficient, and accurate for mAb identification; this technique has great potential to support biopharmaceutical development and counterfeiters.…”
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Quality prediction of semi-solid die casting of aluminum alloy in terms of machine learning by Zhiyuan Wang, Xiaogang Hu, Gan Li, Zhen Xu, Hongxing Lu, Qiang Zhu

“…Among various ML algorithms, the Multilayer Perceptron (MLP) is the most effective for overall quality prediction. …”
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Intelligent Machine Vision Based Modeling and Positioning System in Sand Casting Process by Shahid Ikramullah Butt, Umer Asgher, Umar Mushtaq, Riaz Ahmed, Faping Zhang, Yasar Ayaz, Mohsin Jamil, Muhammad Kamal Amjad

“…The coordinates of the center of pouring cup are found by using computer vision algorithms. The output is then transferred to a microcontroller which controls the alignment mechanism on which the mold is placed at the optimum location.…”
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Implementation costs and cost-effectiveness of ultraportable chest X-ray with artificial intelligence in active case finding for tuberculosis in Nigeria. by Tushar Garg, Stephen John, Suraj Abdulkarim, Adamu D Ahmed, Beatrice Kirubi, Md Toufiq Rahman, Emperor Ubochioma, Jacob Creswell

“…Compared to baseline strategy of cough ≥ 2 weeks, the ICER for any symptom was US$191 per additional case detected and US$ 2096 for Abnormality ≥0.30 OR any symptom algorithm. …”
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CEREBRAL OXYMETRY IN HIGH RISK CARDIAC SURGERY: APPLICABILITY AND PROTOCOL OF THE CLINICAL TRIAL by P. P. Perovskiy, E. V. Fominskiy, V. A. Shmyrev, I. A. Kornilov, V. V. Likhvantsev, V. V. Lomivorotov

“…Cerebral oxymetry is one of the monitoring techniques aimed at the early detection of changes in the brain state. Currently it is being actively introduced into practice, management algorithms for cerebral oxygenation disorders are being developed basing on it, including the ones for cardiac surgeries. …”
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Biometric Identification via Through-Wall Radar: A Survey on Vital Signs and Gait Analysis by Andre Rouco, Carolina Gouveia, Daniel Albuquerque, Susana Bras, Pedro Pinho

“…This survey focuses on radar technologies used for vital signal detection and gait analysis. A comparison of key parameters across diverse research studies is conducted. …”
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A new model for plasmapause locations derived from IMAGE RPI and Van Allen Probes data by Banyś Daniela, Feltens Joachim, Jakowski Norbert, Berdermann Jens, Hoque Mainul M., Zandbergen René, Enderle Werner

“…Both datasets were preprocessed, and algorithms were developed for the automatic detection of plasmapause location Lpp where L denotes the McIlwain parameter. …”
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