Designing natural gesture interaction for archaeological data in immersive environments by Niccolò Albertini, Andrea Brogni, Riccardo Olivito, Emanuele Taccola, Baptiste Caramiaux, Marco Gillies

“…Interactive machine learning techniques have been used for the real time detection of the gestures. As a case  study  the  agora  of  Segesta  (Sicily,  Italy)  has  been  selected.  …”
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Opposition-Based White Shark Optimizer for Optimizing Modified EfficientNetV2 in Road Crack Classification by Mohammed Al-Shalabi, Mohammed A. Mahdi, Malik Braik, Mohammed Azmi Al-Betar, Shahanawaj Ahamad, Sawsan A. Saad

“…The outcome emphasizes its ability to identify the most effective solution for crack detection in practical scenarios, where PCA-based feature selection improves computational efficiency without compromising performance. …”
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Diagnosing COVID-19 Infection in Chest X-Ray Images Using Neural Network by Salim M. Zaki, Mustafa Musa Jaber, Mohammed A. Kashmoola

“…This research conducted a retrospective multi-test analysis system to detect suspicious COVID-19 performance, and use of chest X-Ray features to assess the progress of the illness in each patient, resulting in a "corona score." where the results were satisfactory compared to the benchmarked techniques.  …”
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Large-Scale Analysis of Auditory Segregation Behavior Crowdsourced via a Smartphone App. by Sundeep Teki, Sukhbinder Kumar, Timothy D Griffiths

“…The human auditory system is adept at detecting sound sources of interest from a complex mixture of several other simultaneous sounds. …”
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High-Voltage CVT Fault Diagnosis Based on Effective Data Recognition and Multi-dimensional Information Fusion by Huishan ZHANG

“…To address the prevalent problem in current high-voltage CVT fault diagnosis, such as limited information sources, poor accuracy, and significant interference in partial discharge devices leading to compromised fault signal detection and accuracy, a fault diagnosis method based on multi-dimensional information fusion is proposed. …”
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An MCMC Approach to Bayesian Image Analysis in Fourier Space by Konstantinos Bakas, John Kornak, Hernando Ombao

“…Bayesian image analysis methods are commonly applied to solve image analysis problems such as noise reduction, feature enhancement, and object detection. …”
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Dynamic risk prediction in financial-production systems using temporal self-attention and adaptive autoregressive models by Xuduo Lin, Ziang Qi 

“…To address this, we propose an innovative hybrid temporal model, TSA-AR (Temporal Self-Attention Adaptive Autoregression), which combines temporal self-attention mechanisms with an adaptive autoregressive model to solve the risk prediction problem in financial and production systems. TSA-AR performs multi-scale feature extraction through an improved Informer encoder, dynamically adjusts model parameters with a dynamic autoregressive module, and constructs the nonlinear dependencies between financial and production systems through a cross_modal interaction graph. …”
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3D reconstruction from 2D multi-view dental 2D images based on EfficientNetB0 model by Waleed Mohamed, Nermeen Nader, Yasmin M. Alsakar, Naira Elazab, Mohamed Ezzat, Mohammed Elmogy

“…Therefore, recent developments in imaging technologies have transformed the detection and treatment of oral problems. Applying three-dimensional (3D) reconstruction from two-dimensional (2D) dental images, such as X-rays, is a potential development field. 3D reconstruction technology converts real-world goals into mathematical models that are compatible with computer logic expressions. …”
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Estimation of the reserve capacity of Myodes glareolus after acute irradiation using hematological indicators by O. B. Ganzha, V. V. Pavlovskyi

“…The problem of identifying the sensitivity of living organisms to ionizing irradiation remains relevant, considering the spread of anthropogenic environmental pollution. …”
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Postresuscitative Changes in the Morphofunctional State of Nerve Cells: Implication in the Pathogenesis of Encephalopathies by M. Sh. Avrushchenko, I. V. Ostrova, A. V. Volkov, Yu. V. Zarzhetsky

“…The individual and typological features of development of postresuscitative cerebral changes were revealed. …”
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Endovideosurgical aspects of treatment of bilateral inguinal hernias by V. P. Zemlyanoy, B. V. Sigua, D. S. Syomin, E. P. Sopiya

“…The authors would like to develop strategy in order to solve this problem. MATERIAL AND METHODS. An analysis of treatment results was made in 84 patients. …”
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Precision Marketing Method of E-Commerce Platform Based on Clustering Algorithm by Bei Zhang, Luquan Wang, Yuanyuan Li

“…This method solves the problem that the MDF cannot be effectively processed in the traditional model and demonstrates its theoretical correctness. …”
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A Composite Recognition Method Based on Multimode Mutual Attention Fusion Network by Xing Ding, Xiangrong Zhang, Chao Liang, Bo Liu, Lanjie Niu

“…The test results show that the multimode mutual attention fusion network containing a feature fusion attention mechanism has the highest detection performance and anti-interference ability. …”
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Emergence of scrub typhus-associated neurological signs in central India: An unusual manifestation in febrile illness cases in Madhya Pradesh, India by Gayatri Sondhiya, Prakash Tiwari, HV Manjunathachar, Vivek Chouksey, Pradeep Tiwari, Pradip V. Barde, Chandrashekhar G. Raut, Tapas Chakma, Harpreet Kaur, Pushpendra Singh

“…Problem considered: Scrub typhus, a re-emerging zoonotic infection, often manifests as acute undifferentiated febrile illness (AUF), posing a significant epidemiological threat in tropical and subtropical regions. …”
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Family foci of HDV infection in the Republic of Sakha (Yakutia) by O. M. Zamorshchikova, S. S. Sleptsova, S. S. Sleptsov

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Ship Classification with High Resolution TerraSAR-X Imagery Based on Analytic Hierarchy Process by Zhi Zhao, Kefeng Ji, Xiangwei Xing, Wenting Chen, Huanxin Zou

“…The main idea is to apply AHP on both feature selection and classification decision. On one hand, the AHP based feature selection constructs a selection decision problem based on several feature evaluation measures (e.g., discriminability, stability, and information measure) and provides objective criteria to make comprehensive decisions for their combinations quantitatively. …”
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E-FCNN Based Electric Power Inspection Image Enhancement by Wanrong BAI, Xun ZHANG, Xiaoqin ZHU, Jixiang LIU, Qiyu CHENG, Yan ZHAO, Jie SHAO

“…In order to solve this problem, we propose an edge-aware feedback convolutional neural network (E-FCNN), which not only adds Resnet blocks and feedback mechanism to the conventional super-resolution network to strengthen the ability of feature extraction, but also adds texture information to the edge-aware branch to enhance the image detail. …”
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Prediction of breast cancer Invasive Disease Events using transfer learning on clinical data as image-form. by Annarita Fanizzi, Samantha Bove, Maria Colomba Comes, Erika Francesca Di Benedetto, Agnese Latorre, Francesco Giotta, Annalisa Nardone, Alessandro Rizzo, Clara Soranno, Alfredo Zito, Raffaella Massafra

“…<h4>Background and objective</h4>Detecting patients at high risk of occurrence of an Invasive Disease Event after a first diagnosis of breast cancer, such as recurrence, distant metastasis, contralateral tumor and second tumor, could support clinical decision-making processes in the treatment of this malignancy. …”
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Predictors of Sudden Cardiac Death during Extracardiac Surgical Interventions by L. A. Maltseva, N. V. Krasnenko, V. V. Khalimonchik, R. A. Shkapyak

“…A number of the drugs that are most frequently used in anesthesiology and negative affect the myocardium and systemic hemodynamics are listed, which is extremely important to patients having initially cardiovascular diseases. The detection of the predictors of SCD in the preop-erative period and the methods of studying the patients, among which scale, instrumental, and biochemical methods being emphasized, feature in the paper. …”
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Bio-Inspired Structure Representation Based Cross-View Discriminative Subspace Learning via Simultaneous Local and Global Alignment by Ao Li, Yu Ding, Xunjiang Zheng, Deyun Chen, Guanglu Sun, Kezheng Lin

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