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Journal articles on the topic 'MIIC algorithm'

Author: Grafiati

Published: 25 May 2024

Last updated: 31 July 2025

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1

Weyerer, Veronika, Pamela L. Strissel, Reiner Strick, et al. "Integration of Spatial PD-L1 Expression with the Tumor Immune Microenvironment Outperforms Standard PD-L1 Scoring in Outcome Prediction of Urothelial Cancer Patients." Cancers 13, no. 10 (2021): 2327. http://dx.doi.org/10.3390/cancers13102327.

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Background: Immune therapy has gained significant importance in managing urothelial cancer. The value of PD-L1 remains a matter of controversy, thus requiring an in-depth analysis of its biological and clinical relevance. Methods: A total of 193 tumors of muscle-invasive bladder cancer patients (MIBC) were assessed with four PD-L1 assays. PD-L1 scoring results were correlated with data from a comprehensive digital-spatial immune-profiling panel using descriptive statistics, hierarchical clustering and uni-/multivariable survival analyses. Results: PD-L1 scoring algorithms are heterogeneous (ag

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Tinnathi, Sreenivasu, and G. Sudhavani. "Copy-Move Forgery Detection Using Superpixel Clustering Algorithm and Enhanced GWO Based AlexNet Model." Cybernetics and Information Technologies 22, no. 4 (2022): 91–110. http://dx.doi.org/10.2478/cait-2022-0041.

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Abstract In this work a model is introduced to improve forgery detection on the basis of superpixel clustering algorithm and enhanced Grey Wolf Optimizer (GWO) based AlexNet. After collecting the images from MICC-F600, MICC-F2000 and GRIP datasets, patch segmentation is accomplished using a superpixel clustering algorithm. Then, feature extraction is performed on the segmented images to extract deep learning features using an enhanced GWO based AlexNet model for better forgery detection. In the enhanced GWO technique, multi-objective functions are used for selecting the optimal hyper-parameter

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Pourkashani, Ava, Asadollah Shahbahrami, and Alireza Akoushideh. "Copy-move forgery detection using convolutional neural network and K-mean clustering." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 3 (2021): 2604. http://dx.doi.org/10.11591/ijece.v11i3.pp2604-2612.

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Copying and pasting a patch of an image to hide or exaggerate something in a digital image is known as a copy-move forgery. Copy-move forgery detection (CMFD) is hard to detect because the copied part image from a scene has similar properties with the other parts of the image in terms of texture, light illumination, and objective. The CMFD is still a challenging issue in some attacks such as rotation, scaling, blurring, and noise. In this paper, an approach using the convolutional neural network (CNN) and k-mean clustering is for CMFD. To identify cloned parts candidates, a patch of an image i

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Ava, Pourkashani, Shahbahrami Asadollah, and Akoushideh Alireza. "Copy-move forgery detection using convolutional neural network and K-mean clustering." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 3 (2021): 2604–12. https://doi.org/10.11591/ijece.v11i3.pp2604-2612.

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Copying and pasting a patch of an image to hide or exaggerate something in a digital image is known as a copy-move forgery. Copy-move forgery detection (CMFD) is hard to detect because the copied part image from a scene has similar properties with the other parts of the image in terms of texture, light illumination, and objective. The CMFD is still a challenging issue in some attacks such as rotation, scaling, blurring, and noise. In this paper, an approach using the convolutional neural network (CNN) and kmean clustering is for CMFD. To identify cloned parts candidates, a patch of an image is

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Zheng, Qingyuan, Zhengyu Jiang, Xinmiao Ni, et al. "Machine Learning Quantified Tumor-Stroma Ratio Is an Independent Prognosticator in Muscle-Invasive Bladder Cancer." International Journal of Molecular Sciences 24, no. 3 (2023): 2746. http://dx.doi.org/10.3390/ijms24032746.

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Although the tumor-stroma ratio (TSR) has prognostic value in many cancers, the traditional semi-quantitative visual assessment method has inter-observer variability, making it impossible for clinical practice. We aimed to develop a machine learning (ML) algorithm for accurately quantifying TSR in hematoxylin-and-eosin (H&E)-stained whole slide images (WSI) and further investigate its prognostic effect in patients with muscle-invasive bladder cancer (MIBC). We used an optimal cell classifier previously built based on QuPath open-source software and ML algorithm for quantitative calculation

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Ye, Qing, Ruochen Wang, Chi Zhang, and Yingfeng Cai. "Research on Intelligent Vehicle Path Tracking with Subsystems Based on Multimodel Intelligent Hierarchical Control Theory." Mathematical Problems in Engineering 2021 (June 9, 2021): 1–15. http://dx.doi.org/10.1155/2021/7448517.

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In this paper, a multimodel intelligent hierarchical control (MIHC) algorithm with dual systems is proposed to reduce the performance conflict between a path-tracking motion system and its subsystems during the motion control process of an intelligent vehicle (IV). The working principle of the MIHC algorithm is briefly introduced first, and the dynamic models of IV and the subsystems are constructed. Then, correlation controller models based on MIHC are established. Lastly, the influence of the subsystems on the trajectory tracking of IV is validated through simulations and hardware-in-the-loo

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Wu, Xinghua, Mingzhe Wang, Yun Cai, Xiaolin Chang, and Yong Liu. "Improving the CRCC-DHR Reliability: An Entropy-Based Mimic-Defense-Resource Scheduling Algorithm." Entropy 27, no. 2 (2025): 208. https://doi.org/10.3390/e27020208.

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With more China railway business information systems migrating to the China Railway Cloud Center (CRCC), the attack surface is expanding and there are increasing security threats for the CRCC to deal with. Cyber Mimic Defense (CMD) technology, as an active defense strategy, can counter these threats by constructing a Dynamic Heterogeneous Redundancy (DHR) architecture. However, there are at least two challenges posed to the DHR deployment, namely, the limited number of available schedulable heterogeneous resources and memorization-based attacks. This paper aims to address these two challenges

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Amiri, Ehsan, Ahmad Mosallanejad, and Amir Sheikhahmadi. "Copy-Move Forgery Detection Using an Equilibrium Optimization Algorithm (CMFDEOA)." Statistics, Optimization & Information Computing 11, no. 3 (2023): 677–84. http://dx.doi.org/10.19139/soic-2310-5070-1511.

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Image forgery detection is a new challenge. One type of image forgery is a copy-move forgery. In this method, part of the image is copied and placed at the most similar point. Given the existing algorithms and processing software, identifying forgery areas is difficult and has created challenges in various applications. The proposed method based on the Equilibrium Optimization Algorithm (EOA) helps image forgery detection by finding forgery areas. The proposed method includes feature detection, image segmentation, and detection of forgery areas using the EOA algorithm. In the first step, the i

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Rajamani, Sripriya, Aaron Bieringer, Stephanie Wallerius, Daniel Jensen, Tamara Winden, and Miriam Halstead Muscoplat. "Direct and Electronic Health Record Access to the Clinical Decision Support for Immunizations in the Minnesota Immunization Information System." Biomedical Informatics Insights 8s2 (January 2016): BII.S40208. http://dx.doi.org/10.4137/bii.s40208.

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Immunization information systems (IIS) are population-based and confidential computerized systems maintained by public health agencies containing individual data on immunizations from participating health care providers. IIS hold comprehensive vaccination histories given across providers and over time. An important aspect to IIS is the clinical decision support for immunizations (CDSi), consisting of vaccine forecasting algorithms to determine needed immunizations. The study objective was to analyze the CDSi presentation by IIS in Minnesota (Minnesota Immunization Information Connection [MIIC]

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Elaskily, Mohamed A., Monagi H. Alkinani, Ahmed Sedik, and Mohamed M. Dessouky. "Deep learning based algorithm (ConvLSTM) for Copy Move Forgery Detection." Journal of Intelligent & Fuzzy Systems 40, no. 3 (2021): 4385–405. http://dx.doi.org/10.3233/jifs-201192.

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Protecting information from manipulation is important challenge in current days. Digital images are one of the most popular information representation. Images could be used in several fields such as military, social media, security purposes, intelligence fields, evidences in courts, and newspapers. Digital image forgeries mean adding unusual patterns to the original images that cause a heterogeneity manner in form of image properties. Copy move forgery is one of the hardest types of image forgeries to be detected. It is happened by duplicating part or section of the image then adding again in

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Li, Qianmu, Shunmei Meng, Xiaonan Sang, et al. "Dynamic Scheduling Algorithm in Cyber Mimic Defense Architecture of Volunteer Computing." ACM Transactions on Internet Technology 21, no. 3 (2021): 1–33. http://dx.doi.org/10.1145/3408291.

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Volunteer computing uses computers volunteered by the general public to do distributed scientific computing. Volunteer computing is being used in high-energy physics, molecular biology, medicine, astrophysics, climate study, and other areas. These projects have attained unprecedented computing power. However, with the development of information technology, the traditional defense system cannot deal with the unknown security problems of volunteer computing . At the same time, Cyber Mimic Defense (CMD) can defend the unknown attack behavior through its three characteristics: dynamic, heterogeneo

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Jue Fu, Ying Zhang,. "Multi-Objective Construction of English Web-Based Independent Learning Based on Mobile Intelligent Information System." Journal of Electrical Systems 20, no. 3s (2024): 574–86. http://dx.doi.org/10.52783/jes.1332.

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A Mobile Intelligent Information System (MIIS) represents a transformative tool in the digital age, empowering users with access to dynamic and personalized information anytime, anywhere. Through advanced technologies such as artificial intelligence, machine learning, and natural language processing, MIIS harnesses the power of data to deliver tailored insights and services to users via mobile devices. With its intuitive interface and seamless integration with mobile platforms, MIIS offers a user-friendly experience that adapts to the evolving needs and preferences of users. As mobile technolo

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Campobasso, Davide, Simone Vezzini, Sebastiano Buti, et al. "Molecular classification using Lund University algorithm and clinical correlations in muscle-invasive bladder cancer: Insights from a retrospective study." Bladder 11, no. 4 (2024): e21200019. http://dx.doi.org/10.14440/bladder.2024.0031.

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Background: Muscle-invasive bladder cancer (MIBC) is universally classified as high-grade urothelial carcinoma, precluding the use of histological grading alone for prognostication. However, specific morphological features of MIBC may provide useful information to guide treatment decisions. In the last decade, there has been increasing interest in genetic profiling of MIBC. Objective: The aim of the study is to validate the use of Lund Classification in attributing phenotype to large series with extreme reliability and reproducibility compared to all histological sections in the clinical pract

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Vy, Vu Pham Thao, Melissa Min-Szu Yao, Nguyen Quoc Khanh Le, and Wing P. Chan. "Machine Learning Algorithm for Distinguishing Ductal Carcinoma In Situ from Invasive Breast Cancer." Cancers 14, no. 10 (2022): 2437. http://dx.doi.org/10.3390/cancers14102437.

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Purpose: Given that early identification of breast cancer type allows for less-invasive therapies, we aimed to develop a machine learning model to discriminate between ductal carcinoma in situ (DCIS) and minimally invasive breast cancer (MIBC). Methods: In this retrospective study, the health records of 420 women who underwent biopsies between 2010 and 2020 to confirm breast cancer were collected. A trained XGBoost algorithm was used to classify cancers as either DCIS or MIBC using clinical characteristics, mammographic findings, ultrasonographic findings, and histopathological features. Its p

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Luo, Yan, Zi-Ting Huang, Hui-wen Xu, et al. "Development and validation of multimorbidity index predicting mortality among Chinese older adults." Innovation in Aging 5, Supplement_1 (2021): 606. http://dx.doi.org/10.1093/geroni/igab046.2324.

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Abstract This study aimed to construct a multimorbidity index among Chinese older adults. Participants aged 65-84 years (n=11,757) from the Chinese Longitudinal Healthy Longevity Survey (CLHLS). Fourteen self-reported chronic conditions were assessed at baseline. Outcome was all-cause mortality within five-year follow-up. We used restrictive association rules mining to identify the patterns of multiple chronic conditions associated with mortality. The weights of conditions and disease combinations were assigned using logistic regression adjusted by age and sex in training set. Multimorbidity i

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Setubal, João C., Marcelo Reis, James Matsunaga, and David A. Haake. "Lipoprotein computational prediction in spirochaetal genomes." Microbiology 152, no. 1 (2006): 113–21. http://dx.doi.org/10.1099/mic.0.28317-0.

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Lipoproteins are of great interest in understanding the molecular pathogenesis of spirochaetes. Because spirochaete lipobox sequences exhibit more plasticity than those of other bacteria, application of existing prediction algorithms to emerging sequence data has been problematic. In this paper a novel lipoprotein prediction algorithm is described, designated SpLip, constructed as a hybrid of a lipobox weight matrix approach supplemented by a set of lipoprotein signal peptide rules allowing for conservative amino acid substitutions. Both the weight matrix and the rules are based on a training

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Lotan, Yair, Rituparna Bhattacharya, Honghao Fang, et al. "Assessing real-world recurrence in high-risk (HR) non-muscle-invasive bladder cancer (NMIBC) treated with bacillus Calmette-Guérin (BCG) in the United States through a recurrence algorithm: A SEER-Medicare study." Journal of Clinical Oncology 43, no. 16_suppl (2025): 4601. https://doi.org/10.1200/jco.2025.43.16_suppl.4601.

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4601 Background: Assessing bladder recurrences in real-world setting can be challenging due to the lack of readily available data on recurrence in large real-world databases (e.g., SEER-Medicare), which limits the ability to evaluate the long-term real-world outcomes. To address this, this study developed an algorithm using linked SEER-Medicare data (2007–2020) to identify and classify recurrence events. Methods: A retrospective cohort study in patients with HR-NMIBC treated with BCG was conducted, with BCG initiation as the index date. A recurrence algorithm was developed to identify and clas

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Речкалов, Т. В., and М. Л. Цымблер. "A parallel data clustering algorithm for Intel MIC accelerators." Numerical Methods and Programming (Vychislitel'nye Metody i Programmirovanie), no. 2 (March 28, 2019): 104–15. http://dx.doi.org/10.26089/nummet.v20r211.

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Алгоритм PAM (Partitioning Around Medoids) представляет собой разделительный алгоритм кластеризации, в котором в качестве центров кластеров выбираются только кластеризуемые объекты (медоиды). Кластеризация на основе техники медоидов применяется в широком спектре приложений: сегментирование медицинских и спутниковых изображений, анализ ДНК-микрочипов и текстов и др. На сегодня имеются параллельные реализации PAM для систем GPU и FPGA, но отсутствуют таковые для многоядерных ускорителей архитектуры Intel Many Integrated Core (MIC). В настоящей статье предлагается новый параллельный алгоритм клас

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Gu, Mile. "A classical algorithm to mimic quantum decisions." National Science Review 6, no. 4 (2019): 608–9. http://dx.doi.org/10.1093/nsr/nwz081.

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Balochian, Saeed, and Hossein Baloochian. "Social mimic optimization algorithm and engineering applications." Expert Systems with Applications 134 (November 2019): 178–91. http://dx.doi.org/10.1016/j.eswa.2019.05.035.

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S, Archana. "OPTIMIZED MIMIC ALGORITHM FOR ENHANCED COMMUNICATION SYSTEM." International Research Journal of Education and Technology 6, no. 11 (2024): 1972–80. https://doi.org/10.70127/irjedt.vol.7.issue03.1980.

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Feng, Yueyi, Qingting Feng, Lingkai Xu, Yiqing Jiang, Fang Meng, and Xiaochen Shu. "A Novel Biomarker Based on miRNA to Predict the Prognosis of Muscle-Invasive Bladder Urothelial Carcinoma." Journal of Oncology 2019 (December 6, 2019): 1–11. http://dx.doi.org/10.1155/2019/2654296.

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Muscle-invasive bladder urothelial carcinoma (MIBC) is characteristic of high mortality and high recurrence. Distinguishing the prognostic risk of MIBC at the molecular level of miRNA expression is rarely performed and thus of great significance for the management and treatment of MIBC in clinics. Adaptive lasso Cox’s proportional hazards model was used to explore the relationship between differential expression miRNAs (DEmiRNAs) and MIBC survival. Furthermore, we evaluated the epithelial-mesenchymal transition (EMT) score and immune infiltration abundance by exploring EMT signature genes and

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Leversen, Nils Anders, Gustavo A. de Souza, Hiwa Målen, Swati Prasad, Inge Jonassen, and Harald G. Wiker. "Evaluation of signal peptide prediction algorithms for identification of mycobacterial signal peptides using sequence data from proteomic methods." Microbiology 155, no. 7 (2009): 2375–83. http://dx.doi.org/10.1099/mic.0.025270-0.

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Secreted proteins play an important part in the pathogenicity of Mycobacterium tuberculosis, and are the primary source of vaccine and diagnostic candidates. A majority of these proteins are exported via the signal peptidase I-dependent pathway, and have a signal peptide that is cleaved off during the secretion process. Sequence similarities within signal peptides have spurred the development of several algorithms for predicting their presence as well as the respective cleavage sites. For proteins exported via this pathway, algorithms exist for eukaryotes, and for Gram-negative and Gram-positi

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Taube, Janis M., Joel C. Sunshine, Michael Angelo, et al. "Society for Immunotherapy of Cancer: updates and best practices for multiplex immunohistochemistry (IHC) and immunofluorescence (IF) image analysis and data sharing." Journal for ImmunoTherapy of Cancer 13, no. 1 (2025): e008875. https://doi.org/10.1136/jitc-2024-008875.

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Objectives Multiplex immunohistochemistry and immunofluorescence (mIHC/IF) are emerging technologies that can be used to help define complex immunophenotypes in tissue, quantify immune cell subsets, and assess the spatial arrangement of marker expression. mIHC/IF assays require concerted efforts to optimize and validate the multiplex staining protocols prior to their application on slides. The best practice guidelines for staining and validation of mIHC/IF assays across platforms were previously published by this task force. The current effort represents a complementary manuscript for mIHC/IF

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Gui, Zhiming, Xiaoling Ying, and Chunxiao Liu. "NXPH4 Used as a New Prognostic and Immunotherapeutic Marker for Muscle-Invasive Bladder Cancer." Journal of Oncology 2022 (October 4, 2022): 1–21. http://dx.doi.org/10.1155/2022/4271409.

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Background. One of the most common malignant tumors of the urinary system is muscle-invasive bladder cancer (MIBC). With the increased use of immunotherapy, its importance in the field of cancer is becoming abundantly evident. This study classifies MIBC according to GSVA score from the perspective of the GSEA immune gene set. Methods. This study integrated the sequencing and clinical data of MIBC patients in TCGA and GEO databases, then scored the data using the GSVA algorithm, the CNMF algorithm was implemented to divide the subtypes of GEO and TCGA datasets, respectively, and finally screene

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Zhang, Wen-Li, Kun Yang, Yi-Tao Xin, and Ting-Song Zhao. "Multi-Object Tracking Algorithm for RGB-D Images Based on Asymmetric Dual Siamese Networks." Sensors 20, no. 23 (2020): 6745. http://dx.doi.org/10.3390/s20236745.

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Currently, intelligent security systems are widely deployed in indoor buildings to ensure the safety of people in shopping malls, banks, train stations, and other indoor buildings. Multi-Object Tracking (MOT), as an important component of intelligent security systems, has received much attention from many researchers in recent years. However, existing multi-objective tracking algorithms still suffer from trajectory drift and interruption problems in crowded scenes, which cannot provide valuable data for managers. In order to solve the above problems, this paper proposes a Multi-Object Tracking

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Zheng, Qingyuan, Rui Yang, Xinmiao Ni, et al. "Quantitative Assessment of Tumor-Infiltrating Lymphocytes Using Machine Learning Predicts Survival in Muscle-Invasive Bladder Cancer." Journal of Clinical Medicine 11, no. 23 (2022): 7081. http://dx.doi.org/10.3390/jcm11237081.

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(1) Purpose: Although assessment of tumor-infiltrating lymphocytes (TILs) has been acknowledged to have important predictive prognostic value in muscle-invasive bladder cancer (MIBC), it is limited by inter- and intra-observer variability, hampering widespread clinical application. We aimed to evaluate the prognostic value of quantitative TILs score based on a machine learning (ML) algorithm to identify MIBC patients who might benefit from immunotherapy or the de-escalation of therapy. (2) Methods: We constructed an artificial neural network classifier for tumor cells, lymphocytes, stromal cel

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Doneda, Danilo, and Virgilio A. F. Almeida. "What Is Algorithm Governance?" IEEE Internet Computing 20, no. 4 (2016): 60–63. http://dx.doi.org/10.1109/mic.2016.79.

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Allenspach, Karin, Mohamed Elbadawy, Hannah Nocholson, et al. "Abstract PR002: Sarcomatoid Histological Variants of Canine Muscle-Invasive Bladder Cancer: Transcription Factor Activation Highlights Pathways of Epithelial-Mesenchymal Transformation Similar to Humans." Clinical Cancer Research 30, no. 10_Supplement (2024): PR002. http://dx.doi.org/10.1158/1557-3265.bladder24-pr002.

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Abstract The histologic heterogeneity of human Muscle Invasive Bladder Cancer (MIBC) is one of the main contributing factors to poor treatment outcomes. Recent reports on MIBC histological variants have highlighted increased levels of transcription factors (TF) associated with epithelial-mesenchymal transformation (EMT) and epigenetic regulation in the sarcomatoid histology variant of MIBC. Dogs with spontaneously developing MIBC have been shown to display similar histological and molecular features, in addition to closely mimicking the clinical behavior of human MIBC. Here, we add to previous

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Hepburn, Anastasia C., Nicola Lazzarini, Rajan Veeratterapillay, Laura Wilson, Jaume Bacardit, and Rakesh Heer. "Identification of CNGB1 as a Predictor of Response to Neoadjuvant Chemotherapy in Muscle-Invasive Bladder Cancer." Cancers 13, no. 15 (2021): 3903. http://dx.doi.org/10.3390/cancers13153903.

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Cisplatin-based neoadjuvant chemotherapy (NAC) is recommended prior to radical cystectomy for muscle-invasive bladder cancer (MIBC) patients. Despite a 5–10% survival benefit, some patients do not respond and experience substantial toxicity and delay in surgery. To date, there are no clinically approved biomarkers predictive of response to NAC and their identification is urgently required for more precise delivery of care. To address this issue, a multi-methods analysis approach of machine learning and differential gene expression analysis was undertaken on a cohort of 30 MIBC cases highly sel

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Ji, Zh, Ming Gao, and L. Ying. "RESEARCH ON DYNAMIC SCHEDULING DECISION ALGORITHM IN MIMIC DEFENSE." Telecommunications and Radio Engineering 79, no. 17 (2020): 1563–78. http://dx.doi.org/10.1615/telecomradeng.v79.i17.70.

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Smith, Vicky, Dave Lee, Mark Reardon, et al. "Hypoxia Is Associated with Increased Immune Infiltrates and Both Anti-Tumour and Immune Suppressive Signalling in Muscle-Invasive Bladder Cancer." International Journal of Molecular Sciences 24, no. 10 (2023): 8956. http://dx.doi.org/10.3390/ijms24108956.

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Hypoxia and a suppressive tumour microenvironment (TME) are both independent negative prognostic factors for muscle-invasive bladder cancer (MIBC) that contribute to treatment resistance. Hypoxia has been shown to induce an immune suppressive TME by recruiting myeloid cells that inhibit anti-tumour T cell responses. Recent transcriptomic analyses show hypoxia increases suppressive and anti-tumour immune signalling and infiltrates in bladder cancer. This study sought to investigate the relationship between hypoxia-inducible factor (HIF)-1 and -2, hypoxia, and immune signalling and infiltrates i

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Yan, Sen, Han Zeng, Kaifeng Jin, et al. "NKG2A and PD-L1 expression panel predicts clinical benefits from adjuvant chemotherapy and PD-L1 blockade in muscle-invasive bladder cancer." Journal for ImmunoTherapy of Cancer 10, no. 5 (2022): e004569. http://dx.doi.org/10.1136/jitc-2022-004569.

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BackgroundProgrammed cell death ligand-1 (PD-L1) expression as a single biomarker for immune checkpoint blockade (ICB) was controversial. NKG2A was a PD1/PD-L1 axis-related immunity-dependent factor. NKG2A and PD-L1 expression as a combinatorial biomarker might improve the prediction of PD-L1 in patients with muscle-invasive bladder cancer (MIBC).MethodsThree independent cohorts were enrolled in our study. 195 patients with bladder-derived metastatic urothelial carcinoma on PD-L1 inhibitor treatment from the IMvigor210 trial were enrolled. 124 MIBC patients from Zhongshan Hospital and 391 pati

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Uysal, Daniel, Karl-Friedrich Kowalewski, Maximilian Christian Kriegmair, Ralph Wirtz, Zoran V. Popovic, and Philipp Erben. "A comprehensive molecular characterization of the 8q22.2 region reveals the prognostic relevance of OSR2 mRNA in muscle invasive bladder cancer." PLOS ONE 16, no. 3 (2021): e0248342. http://dx.doi.org/10.1371/journal.pone.0248342.

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Technological advances in molecular profiling have enabled the comprehensive identification of common regions of gene amplification on chromosomes (amplicons) in muscle invasive bladder cancer (MIBC). One such region is 8q22.2, which is largely unexplored in MIBC and could harbor genes with potential for outcome prediction or targeted therapy. To investigate the prognostic role of 8q22.2 and to compare different amplicon definitions, an in-silico analysis of 357 patients from The Cancer Genome Atlas, who underwent radical cystectomy for MIBC, was performed. Amplicons were generated using the G

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Sonpavde, Guru P., Layne Sadler, Arvind Ravi, Amin Nassar, Seth P. Lerner, and Sooryanarayana Varambally. "Neural network analysis of tumor and germline profiling to predict survival of muscle-invasive bladder cancer following radical cystectomy: An analysis of the Cancer Genome Atlas (TCGA)." Journal of Clinical Oncology 41, no. 6_suppl (2023): 546. http://dx.doi.org/10.1200/jco.2023.41.6_suppl.546.

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546 Background: Following radical cystectomy (RC) for muscle-invasive bladder cancer (MIBC), recurrence is suboptimally associated with pathologic stage. A prognostic model that incorporates information from comprehensive genomic and transcriptomic data from germline and tumor tissues will improve the selection of high-risk patients (pts) for adjuvant therapy and tailored surveillance. Methods: Pts with MIBC in TCGA who underwent RC (without neoadjuvant chemotherapy) and with whole exome sequencing (WES) of tumor + normal, and tumor RNA-Seq were eligible. Germline variants were called and anno

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Isemoto, Kohei, Yuma Waseda, Motohiro Fujiwara, et al. "Predictive Potential of Contrast-Enhanced MRI-Based Delta-Radiomics for Chemoradiation Responsiveness in Muscle-Invasive Bladder Cancer." Diagnostics 15, no. 7 (2025): 801. https://doi.org/10.3390/diagnostics15070801.

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Background/Objectives: Delta-radiomics involves analyzing feature variations at different acquisition time-points. This study aimed to assess the utility of delta-radiomics feature analysis applied to contrast-enhanced (CE) and non-contrast-enhanced (NE) T1-weighted images (WI) in predicting the therapeutic response to chemoradiotherapy (CRT) in patients diagnosed with muscle-invasive bladder cancer (MIBC). Methods: Forty-three patients with non-metastatic MIBC (cT2–4N0M0) who underwent partial or radical cystectomy after induction CRT were, retrospectively, reviewed. Pathological complete res

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Mishra, Soumya. "A MICC Algorithm for Power Quality Improvement Using PV-DSTATCOM." Asian Journal of Electrical Sciences 8, S1 (2019): 55–59. http://dx.doi.org/10.51983/ajes-2019.8.s1.2306.

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A modified indirect control algorithm is presented in this paper to improve the operation of photovoltaic fed distributed static compensator. This new algorithm overcomes the limitations of direct current control algorithm under non-ideal supply voltage conditions such asswitching notches in source current after compensation, distortions in the reference source current and poor harmonic elimination. The design and performance testing of the presented system has been carried out in MATLAB/Simulink software. Furthermore, the efficacy and robustness of the presented system are validated through e

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Nguyen, Long, Dinh Nguyen Duc, and Hoai Nguyen Xuan. "A Guidance method for robustness surrogate assisted multi-objective evolutionary algorithms." Journal of Research and Development on Information and Communication Technology 2021, no. 1 (2021): 1–18. http://dx.doi.org/10.32913/mic-ict-research.v2021.n1.948.

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In the real world, multi-objective problems(MOPs) are relatively common in optimization in the areasof design, planning, decision support... In fact, problemsinclude two or many objectives, there is a class of problemscalled expensive problems that are problems with complexmathematical models, large computational costs,... Theycan not be solved by normal techniques, they are usually tobe solved with techniques such as simulation, decomposing,problem transformation. In particular, using a surrogatemodel with Kriging, neuron networks techniques in combination with an evolutionary algorithm is a

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YAMADA, Masayuki, Hiroaki NAYA, and Ryo TAKAGI. "1F12 Optimization of train rescheduling problems using the Mimic Panel State Model and the Genetic Algorithms(Operation management)." Proceedings of International Symposium on Seed-up and Service Technology for Railway and Maglev Systems : STECH 2015 (2015): _1F12–1_—_1F12–6_. http://dx.doi.org/10.1299/jsmestech.2015._1f12-1_.

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Smith, Amy F., Timothy W. Secomb, Axel R. Pries, Nicolas P. Smith, and Rebecca J. Shipley. "Structure-Based Algorithms for Microvessel Classification." Microcirculation 22, no. 2 (2015): 99–108. http://dx.doi.org/10.1111/micc.12181.

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Ergon, Rolf, and Kim H. Esbensen. "A didactically motivated PLS prediction algorithm." Modeling, Identification and Control: A Norwegian Research Bulletin 22, no. 3 (2001): 131–39. http://dx.doi.org/10.4173/mic.2001.3.1.

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Ke, Liangjun, Laipeng Zhai, Jing Li, and Felix T. S. Chan. "Pareto mimic algorithm: An approach to the team orienteering problem." Omega 61 (June 2016): 155–66. http://dx.doi.org/10.1016/j.omega.2015.08.003.

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Phan, Hai-Hong. "An Integrated Approach for Table Detection and Structure Recognition." Journal of Research and Development on Information and Communication Technology 2021, no. 1 (2021): 41–50. http://dx.doi.org/10.32913/mic-ict-research.v2021.n1.974.

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Detecting and identifying the table structure is an important issue in document digitization. Although there have been many great strides based on current deep learning techniques, table structure identification is still a difficult and difficult problem, especially when solving the problem of digitizing text in practice. The paper proposes a solution to digitize table documents based on the Cascade R-CNN HRNet network to detect, classify tables and integrate image processing algorithms to improve table data identification results. The proposed algorithm proved effective on real data - the hyd

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Nayan, Nazrul Anuar, Rosmina Jaafar, and Nur Sabrina Risman. "Development of Respiratory Rate Estimation Technique Using Electrocardiogram and Photoplethysmogram for Continuous Health Monitoring." Bulletin of Electrical Engineering and Informatics 7, no. 3 (2018): 487–94. https://doi.org/10.11591/eei.v7i3.1244.

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Abnormal vital signs often predict a serious condition of acutely ill hospital patients in 24 hours. The notable fluctuations of respiratory rate (RR) are highly predictive of deteriorations among the vital signs measured. Traditional methods of detecting RR are performed by directly measuring the air flow in or out of the lungs or indirectly measuring the changes of the chest volume. These methods require the use of cumbersome devices, which may interfere with natural breathing, are uncomfortable, have frequently moving artifacts, and are extremely expensive. This study aims to estimate the R

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Petrie, Charles. "Protect Data, Not Algorithms." IEEE Internet Computing 20, no. 6 (2016): 76–77. http://dx.doi.org/10.1109/mic.2016.129.

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Brown, Zach Y., and Alexander MacKay. "Competition in Pricing Algorithms." American Economic Journal: Microeconomics 15, no. 2 (2023): 109–56. http://dx.doi.org/10.1257/mic.20210158.

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We document new facts about pricing technology using high-frequency data, and we examine the implications for competition. Some online retailers employ technology that allows for more frequent price changes and automated responses to price changes by rivals. Motivated by these facts, we consider a model in which firms can differ in pricing frequency and choose pricing algorithms that are a function of rivals’ prices. In competitive (Markov perfect) equilibrium, the introduction of simple pricing algorithms can increase price levels, generate price dispersion, and exacerbate the price effects o

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Almeida, Virgilio, Fernando Filgueiras, and Ricardo Fabrino Mendonca. "Algorithms and Institutions: How Can Social Sciences Can Contribute to Governance of Algorithms." IEEE Internet Computing 26, no. 2 (2022): 42–46. http://dx.doi.org/10.1109/mic.2022.3147923.

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Klesk, Przemyslaw, and Marcin Korzen. "Can Boosted Randomness Mimic Learning Algorithms of Geometric Nature? Example of a Simple Algorithm That Converges in Probability to Hard-Margin SVM." IEEE Transactions on Neural Networks and Learning Systems 32, no. 9 (2021): 3798–818. http://dx.doi.org/10.1109/tnnls.2021.3059653.

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Wei, Shuai, Huihua Zhang, Wenjian Zhang, and Hong Yu. "Conditional Probability Voting Algorithm Based on Heterogeneity of Mimic Defense System." IEEE Access 8 (2020): 188760–70. http://dx.doi.org/10.1109/access.2020.3031323.

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Wang, Wei, and Rolf Henriksen. "Globally convergent generalized pole-placement adaptive control algorithm." Modeling, Identification and Control: A Norwegian Research Bulletin 12, no. 3 (1991): 139–47. http://dx.doi.org/10.4173/mic.1991.3.4.

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