A novel algorithm for streamlined surgeon-dominated patient-specific implant design in computer-assisted jaw reconstruction by Ankit Nayak, Jane Jingya PU, Xingna YU, Yu-Xiong Su

“…This study introduces a novel algorithm designed to streamline the traditionally intricate and time-consuming Computer-Aided Design (CAD) process for developing patient-specific implants (PSIs). …”
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CLINICAL EVALUATION OF THE MANIFESTATIONS OF INTERSTITIAL LUNG INJURYIN SYSTEMIC SCLERODERMA FROM HIGH-RESOLUTION COMPUTER T OMOGRAPHY DATA by L P Anan'eva, L V Teplova, V N Lesnyak, O A Koneva, O B Ovsyannikova, M N Starovoytova, O V Desinova, L P Ananyeva, L V Teplova, V N Lesnyak, O A Koneva, O B Ovsyannikova, M N Starovoitova, O V Desinova

“…Objective: to estimate the detection rate of interstitial lung injury (ILI) and to characterize its manifestations from high-resolution computed tomography (HRCT) data in patients with systemic scleroderma (SSD). …”
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Enhancing DBSCAN Accuracy and Computational Efficiency Using Closest Access Point Pre-Clustering for Fingerprint-Based Localization by Abdulmalik Shehu Yaro, Filip Maly, Pavel Prazak

“…This significantly reduces the computational burden of the cluster refinement process. …”
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A Simulation and a Computational Study on the Reliability Verification of Epoxy Resin Paper-Impregnated Bushings in Power Transformers by Daijun Liu, Xiaobang Tong, Libao Liu, Xiaoying Dong, Tianming Yan, Wenkai Tang, Liming Wang, Bin Cao, Zimin Luo

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Computer-aided diagnosis of hepatic cystic echinococcosis based on deep transfer learning features from ultrasound images by Miao Wu, Chuanbo Yan, Gan Sen

“…The experiments followed 10 runs of the five-fold cross-validation process on a total of 1820 ultrasound images and the results were compared using Wilcoxon signed-rank test. …”
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Building a Computer Vocational Guidance System for Graduates of Secondary Educational Institutions Based on a Genetic Algorithm by A. P. Sergushicheva, E. N. Davydova

“…The authors propose to automate the process of identifying the tendency of secondary school graduates to a particular type of activity by building a vocational guidance system based on a genetic algorithm.Materials and methods. …”
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Optimization of Diagnostic and Treatment Tactics Regarding Impacted Lower Third Molars with the Employment of Author’s Program of Computer Modelling by Vares Y., Kyyak S.

“…Therefore besides the convenience in using of the above mentioned program in everyday practice of experienced dental surgeon, it is highly valuable assistant for young specialists and is a great way of the visualization for students during the educational process. Conclusions. Planning of the operation of atypical removal of the lower third molars requires the consideration of a number of general-somatic and local clinical characteristics, the ability to interpret the anatomical structure of the tooth and the adjacent structures on X-ray diffraction and computer tomography, prediction of all possible complications for the safe operation and avoiding complications in the postoperative period, possession with a variety of surgical techniques. …”
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Assessment of Using 18F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography in Patients with Carcinoma of Unknown Primary by S. A. Yaremenko, N. A. Ruchyeva, V. E. Sinitsyn

“…Objectives: to assess the possibility of using 18F-fluorodeoxyglucose positron emission tomography/computed tomography (PET/CT) in patients with carcinoma of unknown primary (CUP); to determine the effectiveness of PET/CT for detecting a primary tumor lesion in patients with a histologically verified diagnosis of CUP and the contribution of PET/CT procedure to the process of disease staging in these patients.Material and methods. …”
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Using multiple computer-predicted structures as molecular replacement models: application to the antiviral mini-protein LCB2 by Svetlana A. Korban, Oleg Mikhailovskii, Vladislav V. Gurzhiy, Ivan S. Podkorytov, Nikolai R. Skrynnikov

“…In this report, we describe a set of structures of the engineered protein LCB2 that has been solved starting from different computer-predicted molecular replacement (MR) models. …”
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When Multimodal Large Language Models Meet Computer Vision: Progressive GPT Fine-Tuning and Stress Testing by Konstantinos I. Roumeliotis, Nikolaos D. Tselikas, Dimitrios K. Nasiopoulos

“…Predictions were assessed using accuracy, precision, recall, and F1-score metrics while closely monitoring prediction costs and processing time. To establish a benchmark, we replicated the process with ResNet-50 and ConvNeXt-tiny models, applying Bayesian optimization for hyperparameter tuning. …”
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Optimization of thermal efficiency and energy consumption in a hybrid infrared heating technique: Artificial intelligence and computational simulations by Fangfang Liu, Hany S. El-Mesery, Ahmed H. ElMesiry, Mansuur Husein, Amer Ali Mahdi

“…This research highlights the potential of advanced computational tools in enhancing food drying processes, providing valuable insights for the food industry as it seeks to improve efficiency and reduce energy consumption during the drying process.…”
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Clinical Validation of a Computed Tomography Image-Based Machine Learning Model for Segmentation and Quantification of Shoulder Muscles by Hamidreza Rajabzadeh-Oghaz, Josie Elwell, Bradley Schoch, William Aibinder, Bruno Gobbato, Daniel Wessell, Vikas Kumar, Christopher P. Roche

“…<b>Introduction</b>: We developed a computed tomography (CT)-based tool designed for automated segmentation of deltoid muscles, enabling quantification of radiomic features and muscle fatty infiltration. …”
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Performance Analysis and Computational Interface for <italic>X &#x2013; R</italic> Intuitionistic Fuzzy Control Chart by Amanda Dos Santos Mendes, Tulio S. Almeida, Marcela A. G. Machado, Paloma Maria Silva Rocha Rizol

“…Quality control, particularly through the use of control charts, has become essential in industry to ensure that processes free from special causes of variability. …”
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Revolutionizing diabetes treatment: computational insights into 4-hydroxy isoleucine derivatives and advanced molecular screening for antidiabetic compounds by Lakshmi Mounika Kelam, Manjinder Singh Gill, M. Elizabeth Sobhia

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Computational Investigation of Long Free-Span Submarine Pipelines with Buoyancy Modules Using an Automated Python–Abaqus Framework by Ty Phuor, Pavel A. Trapper, Alon Urlainis, Avshalom Ganz

“…The study included a verification process, providing a verification of the presented framework. …”
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Synthetic Aperture Radar Processing Using Flexible and Seamless Factorized Back-Projection by Mattia Giovanni Polisano, Marco Manzoni, Stefano Tebaldini

“…When designing a focusing algorithm for large-scale and high-resolution SAR images, efficiency and accuracy are two mandatory aspects to consider. The proposed processing scheme is based on a modified version of Fast Factorized Back-Projection (FFBP), in which the factorization procedure is interrupted on the basis of a computational cost analysis to reduce the number of complex operations at its minimum. …”
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End-to-end deep fusion of hyperspectral imaging and computer vision techniques for rapid detection of wheat seed quality by Tingting Zhang, Jing Li, Jinpeng Tong, Yihu Song, Li Wang, Renye Wu, Xuan Wei, Yuanyuan Song, Rensen Zeng

“…The proposed end-to-end decision fusion DCNN model simplifies the training process compared to traditional two-stage fusion methods. …”
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Deep Learning Scheduling on a Field-Programmable Gate Array Cluster Using Configurable Deep Learning Accelerators by Tianyang Fang, Alejandro Perez-Vicente, Hans Johnson, Jafar Saniie

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Integration of remote sensing intelligent processing algorithm using container cloud technology by Zhitao ZHAO, Lijun ZHAO, Zheng ZHANG, Ping TANG

“…With the development of cloud computing technology in remote sensing data processing, container cloud technology was applied to remote sensing data processing, remote sensing intelligent processing algorithm image was deployed and storage services were distributed in the computing cluster, shielding complex environmental dependence problems.And management through configuration files was processed forming an overall technical route from development to deployment, which provides an efficient and reliable new scheme for the integration of remote sensing intelligent processing algorithms.Taking several typical remote sensing intelligent algorithms as examples, the efficiency of the scheme in the integrated development and deployment was proved, and the feasibility of the new cloud mode of remote sensing intelligent technology was explored.…”
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Rail squat detection using hybrid processing of axle box acceleration measurements by Reza Naseri, Brennan L. Gedney, Hossein Asgari, Dimitrios C. Rizos

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