High accuracy的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列包括價格和評價等資訊懶人包

Compressive Sensing: Applications to Sensor Systems and Image Processing

為了解決High accuracy的問題，作者Ender, Joachim 這樣論述：

Compressive sensing is a new mathematical technique in signal processing. It enables, for example, optical, radar, MRI and X-ray imaging systems with limited capabilities in bandwidth or resolution to recover "natural" signals with high accuracy. As a consequence, new system architectures can be dev

ised where standard regular sampling is not attainable due to sensor power consumption, size, cost, or technological limitations. This graduate textbook provides detailed background for study and research in compressive sensing, including signal models, measurement schemes, recovery algorithms, high

lighting recent theoretical results and showing a broad range of applications. Due to its background information and numerous practical applications, it is an ideal resource for researchers, graduate students and practitioners who want to join this exciting research area. Joachim Ender, Fraunhofe

r Institute for High Frequency Physics and Radar Techniques, Germany.

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An Integrated Approach For Uncovering Novel DNA Methylation Biomarkers For Non-small Cell Lung Carcinoma

為了解決High accuracy的問題，作者VAIBHAV KUMAR SUNKARIA 這樣論述：

Introduction - Lung cancer is one of primal and ubiquitous cause of cancer related fatalities in the world. Leading cause of these fatalities is non-small cell lung cancer (NSCLC) with a proportion of 85%. The major subtypes of NSCLC are Lung Adenocarcinoma (LUAD) and Lung Small Cell Carcinoma (LUS

C). Early-stage surgical detection and removal of tumor offers a favorable prognosis and better survival rates. However, a major portion of 75% subjects have stage III/IV at the time of diagnosis and despite advanced major developments in oncology survival rates remain poor. Carcinogens produce wide

spread DNA methylation changes within cells. These changes are characterized by globally hyper or hypo methylated regions around CpG islands, many of these changes occur early in tumorigenesis and are highly prevalent across a tumor type.Structure - This research work took advantage of publicly avai

lable methylation profiling resources and relevant comorbidities for lung cancer patients extracted from meta-analysis of scientific review and journal available at PubMed and CNKI search which were combined systematically to explore effective DNA methylation markers for NSCLC. We also tried to iden

tify common CpG loci between Caucasian, Black and Asian racial groups for identifying ubiquitous candidate genes thoroughly. Statistical analysis and GO ontology were also conducted to explore associated novel biomarkers. These novel findings could facilitate design of accurate diagnostic panel for

practical clinical relevance.Methodology - DNA methylation profiles were extracted from TCGA for 418 LUAD and 370 LUSC tissue samples from patients compared with 32 and 42 non-malignant ones respectively. Standard pipeline was conducted to discover significant differentially methylated sites as prim

ary biomarkers. Secondary biomarkers were extracted by incorporating genes associated with comorbidities from meta-analysis of research articles. Concordant candidates were utilized for NSCLC relevant biomarker candidates. Gene ontology annotations were used to calculate gene-pair distance matrix fo

r all candidate biomarkers. Clustering algorithms were utilized to categorize candidate genes into different functional groups using the gene distance matrix. There were 35 CpG loci identified by comparing TCGA training cohort with GEO testing cohort from these functional groups, and 4 gene-based pa

nel was devised after finding highly discriminatory diagnostic panel through combinatorial validation of each functional cluster.Results – To evaluate the gene panel for NSCLC, the methylation levels of SCT(Secritin), FOXD3(Forkhead Box D3), TRIM58(Tripartite Motif Containing 58) and TAC1(Tachikinin

1) were tested. Individually each gene showed significant methylation difference between LUAD and LUSC training cohort. Combined 4-gene panel AUC, sensitivity/specificity were evaluated with 0.9596, 90.43%/100% in LUAD; 0.949, 86.95%/98.21% in LUSC TCGA training cohort; 0.94, 85.92%/97.37 in GEO 66

836; 0.91,89.17%/100% in GEO 83842 smokers; 0.948, 91.67%/100% in GEO83842 non-smokers independent testing cohort. Our study validates SCT, FOXD3, TRIM58 and TAC1 based gene panel has great potential in early recognition of NSCLC undetermined lung nodules. The findings can yield universally accurate

and robust markers facilitating early diagnosis and rapid severity examination.

Robotic Non-Destructive Testing Technology

為了解決High accuracy的問題，作者Xu, Chunguang 這樣論述：

The content of this book includes a variety of nondestructive testing (NDT) methods, with many introductions to testing and application cases. The book proposes new ultrasonic testing technology for complex workpieces. It is hard for traditional NDT technology to realize the automatic detection o

f complex curved components, especially the automatic high-precision nondestructive detection of curved-surface components with variable curvature, variable thickness and complex contour. Therefore, the robotic NDT technique as a combination of manipulator technique and NDT technique can further imp

rove the efficiency and accuracy of NDT. Robotic NDT Technique combines the physical principle of nondestructive testing with the flexible motion control of spatial attitude of articulated manipulator. With NDT as the constraint, it controls the motion attitude and azimuth angle of a transmitting an

d receiving transducer. Thus traditional NDT technique has developed from plane to curved surface, from 2D to many dimensions and from artificiality to intelligence, into a unique and systematic interdisciplinary robotic NDT technique.

使用 FMCW 雷達和利用人工神經網絡進行運動生命體徵檢測

為了解決High accuracy的問題，作者李景量 這樣論述：

由於對人們對健康的關注度增長使得健康監護監測變得更加流行。 現在有許多可穿戴或直接接觸的生理設備能夠在日常生活活動中監測一個人的心率； 然而，在鍛煉或長期監測期間佩戴設備通常會令使用者很尷尬或不舒服。 幸運的是，對於非接觸式設備，例如基於 FMCW 雷達的設備，可以避免這種情況發生。 與可穿戴式或直接接觸式生理設備相比，非接觸式系統更方便，可應用的地方亦更廣泛。在這項工作中，我們提出了一個 60-64 GHz 頻率調製連續波 (FMCW) 雷達系統，用於在運動期間進行非接觸式心率監測。 通過使用修改後的 MobileNetV3 模型進行回歸分析，可以實現約 90% 的準確率預測。此外，我們使

用剪枝方法將神經網絡模型的模型大小減少了 87%，以有效降低模型的計算成本並保持準確性。