標題: Titlebook: Biomedical Engineering Science and Technology; Second International Bikesh Kumar Singh,G.R. Sinha,Rishikesh Pandey Conference proceedings 2 [打印本頁] 作者: 鳥場 時間: 2025-3-21 19:41
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作者: 入會 時間: 2025-3-22 00:17
Concetti di base e classificazione,nter- and intra-observer errors frequently happen, leading to considerable diversity in result interpretations. To combat this variability, computer-aided diagnosis (CAD) systems are essential. Automatic segmentation is an essential and critical step in CAD systems toward boundary detection, feature作者: Ingrained 時間: 2025-3-22 01:04
https://doi.org/10.1007/978-88-470-0777-2munication in people who have had laryngectomy surgery or those with severe voice abnormalities. In this paper, we present a lip-reading recognition algorithm to recognize English words from the lips when speaking. The lip contour and English words were distinguished using a variety of lip metric me作者: AMBI 時間: 2025-3-22 05:58
La genetica nell‘infertilità maschileuted information remains the same by reducing the number of bits. With the increasing demand for storing and transmitting clinical scans, the shortage of sufficient storage space and communication bandwidth occurs. The terms “l(fā)ossy” and “l(fā)ossless compression” refer to two larger types of image compr作者: 交響樂 時間: 2025-3-22 12:33 作者: Contend 時間: 2025-3-22 14:13
,Cause geniche dell’infertilità maschile,roblems like sleep interruptions, snoring, etc. can be detected by using sleep stage analysis. However, the conventional methods used for sleep analysis are very time-consuming. This limitation can be avoided by using an automatic tool for diagnosis based on artificial intelligence. Different artifi作者: Crater 時間: 2025-3-22 17:20
Le imprese spin-off della ricerca pubblica, It needs multiple psychiatrist consultations and brain MRIs to diagnose. Schizophrenia has no objective medical index. Machine learning and deep learning algorithms simplify disease diagnosis. Handcrafted features require domain specialists to develop the feature set, which involves time and experi作者: crease 時間: 2025-3-23 00:13 作者: Insubordinate 時間: 2025-3-23 03:39 作者: 令人心醉 時間: 2025-3-23 07:54 作者: forestry 時間: 2025-3-23 13:09
,Ostéotomie fémorale d’ouverture dans le , ,he aim is to investigate an efficient and robust system for the early detection of OSA using single-channel ECG in different deep-learning approaches. The methodology we implemented was reviewing the literature in preferred reporting items for systematic reviews and meta-analyses (PRISMA) which incl作者: JAUNT 時間: 2025-3-23 15:42
,L’arthrose du genou sur laxité,for the domain but are time-consuming and challenging to integrate into processing pipelines with a high number of data samples. Automated methods are an active area of research for head MRI segmentation, especially deep learning methods such as U-Net architecture implementations. This study compare作者: 針葉類的樹 時間: 2025-3-23 21:11 作者: obsolete 時間: 2025-3-23 23:33 作者: 高貴領導 時間: 2025-3-24 05:30
,D’Alembert et la mécanique céleste,states. Traditional machine learning-based classification requires a complicated pipeline of signal processing, artifact removal, feature extraction, and selection, which is time-consuming and requires human intervention. Whereas deep learning-based classifiers attempt to overcome this manual overhe作者: 解脫 時間: 2025-3-24 10:32 作者: Mortar 時間: 2025-3-24 12:26 作者: craving 時間: 2025-3-24 15:51 作者: 音樂會 時間: 2025-3-24 20:47 作者: ATRIA 時間: 2025-3-25 01:26 作者: stratum-corneum 時間: 2025-3-25 05:28 作者: 搬運工 時間: 2025-3-25 10:19
Conference proceedings 2024The?32?full papers together in this volume were carefully reviewed and selected from 60 submissions. The conference‘s fundamental theme was "Computing in Biomedical Research". They were organized in three tracks as follows: Artificial Intelligence in Healthcare; Computational Mechanics in Healthcare and Health Informatics.作者: headlong 時間: 2025-3-25 14:42 作者: 四目在模仿 時間: 2025-3-25 18:00
978-3-031-54546-7The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: 噱頭 時間: 2025-3-25 23:17
Conference proceedings 2024The?32?full papers together in this volume were carefully reviewed and selected from 60 submissions. The conference‘s fundamental theme was "Computing in Biomedical Research". They were organized in three tracks as follows: Artificial Intelligence in Healthcare; Computational Mechanics in Healthcare作者: VEIL 時間: 2025-3-26 03:04
https://doi.org/10.1007/978-88-470-0777-2ecognized for two different classifier cases respectively. The automated ROI detection, elimination of lip shape effects, and operation without prior data training are strengths of the proposed method. The experimental outcomes showed the viability and potential of lip-reading-based silent speech interfaces for future clinical applications.作者: 允許 時間: 2025-3-26 05:47 作者: 牲畜欄 時間: 2025-3-26 10:24 作者: 嗎啡 時間: 2025-3-26 13:22
Silent Speech Interface Using Lip-Reading Methods,ecognized for two different classifier cases respectively. The automated ROI detection, elimination of lip shape effects, and operation without prior data training are strengths of the proposed method. The experimental outcomes showed the viability and potential of lip-reading-based silent speech interfaces for future clinical applications.作者: vasospasm 時間: 2025-3-26 19:42 作者: instructive 時間: 2025-3-26 22:03
,Early Diagnosis of Parkinson’s Disease Based on Spiral and Wave Drawings Using Convolutional Neural (RF) as ML classifier performed much better than existing state-of-the-art pretrained models, with a classification accuracy of 97%. The results of the experiment indicate that the proposed strategy works better on publicly available hand-drawn datasets for the early identification of Parkinson’s disease.作者: obstruct 時間: 2025-3-27 02:51 作者: 追蹤 時間: 2025-3-27 06:07
1865-0929 "Computing in Biomedical Research". They were organized in three tracks as follows: Artificial Intelligence in Healthcare; Computational Mechanics in Healthcare and Health Informatics.978-3-031-54546-7978-3-031-54547-4Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: VOK 時間: 2025-3-27 12:10
,L’arthrose du genou sur laxité,rparts by achieving an accuracy of 99.75% on a test dataset. It is observed that dense interconnections in a U-Net encourage feature reuse across layers of the architecture and allow for shallower models with the strengths of a deeper network.作者: occurrence 時間: 2025-3-27 16:15 作者: generic 時間: 2025-3-27 19:53
Concetti di base e classificazione,he proposed method with other state-of-the-art methods. A total of 1293 BUS images are used in this study. According to the quantitative experimental findings, the suggested method can successfully segment the BUS images with an accuracy of 91.66%. Compared to existing methods, the proposed approach作者: Peristalsis 時間: 2025-3-28 00:03 作者: 玩忽職守 時間: 2025-3-28 05:18
,Cause geniche dell’infertilità maschile,roposed system gives the most efficient strategy of hand tracking that uses 2D visual information in 3D to make the patient focus on rehabilitation to increase their hand movements, the patient receives treatment while manipulating a physical object that is monitored to assess how well they are doin作者: Commentary 時間: 2025-3-28 08:51 作者: 殘酷的地方 時間: 2025-3-28 10:41
Le imprese spin-off della ricerca pubblica,ance. Therefore, we employ the axial view of brain scans as it contains the subcortical region and ventricular areas which contribute most to the prediction of schizophrenia. Axial view images are used to train transfer learning-based VGG19 model for schizophrenia identification. This study uses a C作者: HAIRY 時間: 2025-3-28 17:47 作者: VEST 時間: 2025-3-28 21:39 作者: 放逐某人 時間: 2025-3-28 22:55 作者: 遵循的規(guī)范 時間: 2025-3-29 04:22
,Techniques des ostéotomies tibiales,theta bands extracted using wavelet decomposition. The two different modalities proposed in this work were: (1) using pre-trained network for transfer learning approach (2) pretrained network to extract the image features and classification with the help of support vector machine (SVM). In this expe作者: Between 時間: 2025-3-29 08:52
Fallimento della terapia antibiotica,tral spread was obtained and tested on different machine learning models using 10-fold, 5-fold cross validation and 33% hold out. The results obtained under normal and abnormal classification for 10-fold, 5-fold and 33% hold out showed an accuracy of 78.6%, 77.5% and 76.4% for MFCC Delta-Delta featu作者: 食草 時間: 2025-3-29 14:03
,D’Alembert et la mécanique céleste,ith input representation of the signal, window size for signal segmentation, and various model parameters. It was observed that a very simple time domain representation of the raw signal, segmented by a window of 5s, when combined with a shallow 1D-CNN showed the best performance, with an accuracy s作者: insidious 時間: 2025-3-29 18:21
,D’Alembert et la mécanique céleste,CV, Recursive Feature Elimination (RFE) and Hybrid selection techniques. Various machine learning classifiers, including Random-Forest (RF), Logistic Regression (LR), Decision-Tree (DT), Gaussian NB (GB), SGD Classifier (SGDC), Nearest-Neighbors (NN), Support Vector Machine (SVM), Adboost (Adb), MLP作者: 用不完 時間: 2025-3-29 20:08
https://doi.org/10.1007/978-2-287-72083-3res obtained from the PCA components are feed to machine learning classifier. The most commonly used classifiers are support vector machine or naive bayes, random forest to classify the epileptic brain signals. In this work, the accuracy, sensitivity obtained with PCA reduction and without PCA reduc作者: legacy 時間: 2025-3-30 02:18 作者: 分期付款 時間: 2025-3-30 04:23
https://doi.org/10.1007/978-2-287-72083-3evaluating the effectiveness of proposed feature selection algorithms. The results are compared on the performance matrices and it is observed that MIGM algorithm provides the most optimal features compared two other two selection techniques. Also, the model is evaluated for temporal features and fr作者: Feckless 時間: 2025-3-30 11:43
An Enhancement in K-means Algorithm for Automatic Ultrasound Image Segmentation,he proposed method with other state-of-the-art methods. A total of 1293 BUS images are used in this study. According to the quantitative experimental findings, the suggested method can successfully segment the BUS images with an accuracy of 91.66%. Compared to existing methods, the proposed approach作者: prick-test 時間: 2025-3-30 14:17
Performance Analysis of Recent Algorithms for Compression of Various Medical Images, Decomposition (SVD) is implemented respectively. Then three combination of hybrid technique i.e. lossless and lossy image compression technique Huffman?+?Singular Value Decomposition (SVD), Lempel-Ziv-Welch (LZW)?+?Discrete Cosine Transform (DCT) and Set Partitioning in Hierarchical Trees (SPHIT)?+作者: 角斗士 時間: 2025-3-30 20:29
Smart Gaming System for Hand Rehabilitation,roposed system gives the most efficient strategy of hand tracking that uses 2D visual information in 3D to make the patient focus on rehabilitation to increase their hand movements, the patient receives treatment while manipulating a physical object that is monitored to assess how well they are doin作者: Epidural-Space 時間: 2025-3-30 22:14 作者: MUTED 時間: 2025-3-31 03:39
Deep Transfer Learning for Schizophrenia Detection Using Brain MRI,ance. Therefore, we employ the axial view of brain scans as it contains the subcortical region and ventricular areas which contribute most to the prediction of schizophrenia. Axial view images are used to train transfer learning-based VGG19 model for schizophrenia identification. This study uses a C作者: 持久 時間: 2025-3-31 05:24
An Efficient Approach for Early Prediction of Sudden Cardiac Death Using Two-Stage Feature Selectio non-linear method-based features. These features along with wavelet features and statistical features were considered for the selection of significant features. In this work, a two-stage feature selection method is proposed based on mutual information (MI) and recursive feature elimination (RFE) al作者: Sinus-Node 時間: 2025-3-31 12:07 作者: languor 時間: 2025-3-31 15:18 作者: 卜聞 時間: 2025-3-31 21:09 作者: implore 時間: 2025-4-1 00:37 作者: Diverticulitis 時間: 2025-4-1 03:13 作者: Fatten 時間: 2025-4-1 09:26
