派博傳思國際中心

標題: Titlebook: Communication and Intelligent Systems; Proceedings of ICCIS Harish Sharma,Vivek Shrivastava,Lipo Wang Conference proceedings 2024 The Edito [打印本頁]

作者: 召喚    時間: 2025-3-21 19:48
書目名稱Communication and Intelligent Systems影響因子(影響力)




書目名稱Communication and Intelligent Systems影響因子(影響力)學科排名




書目名稱Communication and Intelligent Systems網(wǎng)絡(luò)公開度




書目名稱Communication and Intelligent Systems網(wǎng)絡(luò)公開度學科排名




書目名稱Communication and Intelligent Systems被引頻次




書目名稱Communication and Intelligent Systems被引頻次學科排名




書目名稱Communication and Intelligent Systems年度引用




書目名稱Communication and Intelligent Systems年度引用學科排名




書目名稱Communication and Intelligent Systems讀者反饋




書目名稱Communication and Intelligent Systems讀者反饋學科排名





作者: 拍下盜公款    時間: 2025-3-21 20:25
Pattern of Lung Injury in CT/HRCT Using Deep Learning Techniques,ormance metrics with lower standard deviations over the test dataset. A possible future enhancement in this area could be the introduction of an ensemble architecture for classification which has the capability to process 3D images.
作者: 橢圓    時間: 2025-3-22 02:52

作者: COKE    時間: 2025-3-22 05:40
Time Domain Specifications of Step Responses of Both Underdamped and Overdamped Systems: In Correctn a fixed value of 1(like . function), the algorithm addresses the flawed settling time calculations for both underdamped and overdamped systems. To check and compare the performance of the proposed algorithm, one overdamped system and two underdamped systems: one having some steady state error and
作者: intolerance    時間: 2025-3-22 10:13

作者: 高爾夫    時間: 2025-3-22 16:30
A Study on DL for Pulmonary Embolism Prediction Harnessing Multimodal Data,ng DL-based multimodal early fusion features from Computed Tomography of Pulmonary Angiography (CTPA) images and six Electronic Medical Record (EMR) modalities are concatenated at the input level. The performance of the six DL models using the RadFusion dataset, a manually labeled and processed data
作者: 高爾夫    時間: 2025-3-22 18:19
Performance Analysis of Machine Learning Algorithms Using Information Theoretic Class Based Multi-cheoretic dependent FSA. For our study, we considered twelve different machine learning algorithms for comparison using metrics such as accuracy, precision, recall and ROC-AUC curve. Results show a significant increase in accuracy of all the machine learning algorithms that are considered.
作者: CARK    時間: 2025-3-23 01:15
The Failure Recovery Management Framelet,ers and a performance assessment matrix are used to evaluate the quality of our model. All the features of the dataset and a subset of them were used to test the work that was suggested. Reducing the number of features influences the evaluation matrix and accuracy of algorithms. Utilizing a UCI set
作者: 爭吵加    時間: 2025-3-23 01:41
Lecture Notes in Computer Scienceormance metrics with lower standard deviations over the test dataset. A possible future enhancement in this area could be the introduction of an ensemble architecture for classification which has the capability to process 3D images.
作者: motivate    時間: 2025-3-23 06:42
https://doi.org/10.1007/978-3-319-11245-9 (SVM), and Stochastic Gradient Descent (SGD) have been implemented on the thermal images for the classification of control and CVI subjects. The prediction performance of these ML models is assessed using evaluation measures such as accuracy, sensitivity, specificity, precision, F1 score, and AUC.
作者: 濃縮    時間: 2025-3-23 12:27
Einar W. H?st,Bjarte M. ?stvoldn a fixed value of 1(like . function), the algorithm addresses the flawed settling time calculations for both underdamped and overdamped systems. To check and compare the performance of the proposed algorithm, one overdamped system and two underdamped systems: one having some steady state error and
作者: VEN    時間: 2025-3-23 15:00
Lecture Notes in Computer Sciencethe-art methods, including CNN and VGG. Recognizing drivers’ proclivity to ignore speed limit signs, our initiative aims to improve road safety by informing drivers of speed limits by delivering audio alerts in their preferred Indian language.
作者: slow-wave-sleep    時間: 2025-3-23 22:06
A Primer on Operational Semantics,ng DL-based multimodal early fusion features from Computed Tomography of Pulmonary Angiography (CTPA) images and six Electronic Medical Record (EMR) modalities are concatenated at the input level. The performance of the six DL models using the RadFusion dataset, a manually labeled and processed data
作者: 減弱不好    時間: 2025-3-24 00:29

作者: nutrition    時間: 2025-3-24 05:40
2367-3370 emes to make the latest results available in a single, readily accessible source. The work is presented in three volumes.978-981-97-2081-1978-981-97-2082-8Series ISSN 2367-3370 Series E-ISSN 2367-3389
作者: 阻擋    時間: 2025-3-24 10:24
Implementation of Textual Concrete Syntax,ed a high accuracy of 93% for the Gradient Boosting Classifier by analyzing the performance using confusion matrix, representing Area Under the ROC Curve (AUC) and Receiver Operating Characteristic curve (ROC). This study will play a vital role in controlling the upcoming youngster in using their social media.
作者: 女歌星    時間: 2025-3-24 10:39
Elaine Khoo,Craig Hight,Bronwen Cowiecognition. The study offers a comprehensive view of OCR techniques’ adaptability and effectiveness in diverse linguistic contexts. This research marks a significant contribution by extensively exploring OCR’s application to Indian scripts and their languages, filling a notable void in current understanding within this domain.
作者: GRAIN    時間: 2025-3-24 17:08
Impact of the Use of Social Media Among University Students Using Machine Learning,ed a high accuracy of 93% for the Gradient Boosting Classifier by analyzing the performance using confusion matrix, representing Area Under the ROC Curve (AUC) and Receiver Operating Characteristic curve (ROC). This study will play a vital role in controlling the upcoming youngster in using their social media.
作者: Original    時間: 2025-3-24 22:35

作者: commute    時間: 2025-3-25 00:25
Conference proceedings 2024cation technologies. The book presents single- and multi-disciplinary research on these themes to make the latest results available in a single, readily accessible source. The work is presented in three volumes.
作者: Stagger    時間: 2025-3-25 03:31

作者: GENRE    時間: 2025-3-25 07:48

作者: 說明    時間: 2025-3-25 15:29

作者: 肌肉    時間: 2025-3-25 18:22
The Sequential Data Processing Framelet,with lower standard deviations. Stenosis identification demonstrates significant prediction accuracy. The study‘s future implications include predicting stent placement positions and estimating post-stenting circulation success. This innovative approach offers an objective analysis, enhancing diagnostic accuracy in cardiovascular health.
作者: narcissism    時間: 2025-3-25 20:57

作者: Intuitive    時間: 2025-3-26 03:35

作者: 公理    時間: 2025-3-26 07:53

作者: 重畫只能放棄    時間: 2025-3-26 12:01

作者: cutlery    時間: 2025-3-26 16:05

作者: Foment    時間: 2025-3-26 17:00
Deep Learning-Based Attack Prediction for Returns in Supply Chain Management Systems,ches considering the characteristics with the most significant eigenvalues that were unlikely to improve the precision of the classification. Training in simulations is employed to evaluate an algorithm’s efficiency of supervised Machine Learning (ML) computations.
作者: Insufficient    時間: 2025-3-27 00:05
A Coherent Ensemble Modeling Approach for Diabetic Retinopathy Using MIFNET Method,at using retinal fundus pictures to identify diabetic retinopathy. We are segmenting the region depending on sensitivity specificity and accuracy using the MIFNET method, and we are training the CNN algorithm model utilizing DLT.
作者: Fracture    時間: 2025-3-27 01:44
A Novel Approach for Agricultural Crop Classification with Incremental Learning,ning classifiers and four ensemble learning classifiers to develop models with incremental learning. In addition, to prove the robustness of the proposed model, the authors have compared the newly developed models’ performance with state-of-the-art methods. The proposed approach showed the best performance with the Logistic Regression classifier.
作者: pellagra    時間: 2025-3-27 07:49
Coronary Vessel Segmentation in X-ray Using U-Net,with lower standard deviations. Stenosis identification demonstrates significant prediction accuracy. The study‘s future implications include predicting stent placement positions and estimating post-stenting circulation success. This innovative approach offers an objective analysis, enhancing diagnostic accuracy in cardiovascular health.
作者: follicular-unit    時間: 2025-3-27 13:02
Unveiling Clarity: A Survey on Haze Removal Techniques Using Deep Learning Approaches,iculously explores the historical evolution and current state of dehazing techniques that harness the power of deep learning, offering a comprehensive survey for those delving into this dynamic and pivotal field. In a world where visuals are paramount, tackling the haze is no less than a quest for clarity and precision.
作者: Emmenagogue    時間: 2025-3-27 14:11

作者: 輕信    時間: 2025-3-27 20:48

作者: Introvert    時間: 2025-3-28 01:30

作者: 稀釋前    時間: 2025-3-28 05:43

作者: 誤傳    時間: 2025-3-28 08:50
2367-3370 , India.Provides state of the art to research scholars and pThis book gathers selected research papers presented at the Fifth International Conference on Communication and Intelligent Systems (ICCIS 2023), organized by Malaviya National Institute of Technology Jaipur, India, during December 16–17, 2
作者: 獨白    時間: 2025-3-28 11:50

作者: 共同給與    時間: 2025-3-28 16:01
General Structure of the AOCS Framework,lishes an adaptive CPS which employs the Internet of Things (IoT) to monitor the activities of goods manufactured for delivery to the consumers through the integration of the information on production, integrating connectivity with Internet technology. With the aim to analyse distributed denial-of-s
作者: Prologue    時間: 2025-3-28 19:00
The Failure Recovery Management Framelet,nd predicted early on, which could save many lives. This needs a careful study of clinical data. Everyone in the healthcare industry benefits from predictive machine learning algorithms’ ability to enhance a doctor’s sense of things, as this can lead to more accurate patient diagnoses and more effec
作者: 空洞    時間: 2025-3-29 01:12

作者: 激勵    時間: 2025-3-29 03:58
The Manoeuvre Management Framelet,ious parameters can assist farmers in forecasting which crop to yield in a given season. The proposed machine learning models in the literature make the classification with static data and do not handle changes in data occurring at a later time. To overcome this limitation, the authors in this resea
作者: UTTER    時間: 2025-3-29 10:10

作者: SUGAR    時間: 2025-3-29 11:39

作者: 整潔    時間: 2025-3-29 18:41
Martin Erwig,Richard F. Paige,Eric Wyktraffic to an unauthorized node, allowing malicious entities to intercept and manipulate sensitive data. Detecting and mitigating sinkhole attacks is crucial to safeguarding the network infrastructure and maintaining data confidentiality. This survey systematically examines various approaches to det
作者: 鴕鳥    時間: 2025-3-29 22:22

作者: myalgia    時間: 2025-3-30 00:46

作者: CODA    時間: 2025-3-30 07:03
https://doi.org/10.1007/978-3-642-00434-6ing nodules that interact nearby. It diverges from other ad hoc networks with an abundant number of additional features. One type of decentralized wireless network is an ad-hoc network, occasionally referred to as a MANET (mobile ad hoc network). The network is ad hoc as there isn’t any fixed infras
作者: 不再流行    時間: 2025-3-30 10:17
https://doi.org/10.1007/978-3-319-11245-9 lower extremities resulting from venous hypertension. Loss of mobility caused by CVI can have a devastating impact on both quality of life and productivity. Early and precise diagnosis is critically important for preventing the progression of this disease. Recently, computer-assisted diagnosis (CAD
作者: enterprise    時間: 2025-3-30 12:45
Towards User-Friendly Projectional Editors,rs. However, the classification of brain tumors using MRI images is getting more challenging due to the large amount of data and the presence of noise and other objects. Feature extraction is an extremely important step in the brain tumor classification process as it determines the quality of featur
作者: 斜    時間: 2025-3-30 17:39
Einar W. H?st,Bjarte M. ?stvoldulation of time domain specifications, viz, rising time, settling time, peak time, and peak overshoot etc. for an underdamped system differs from an overdamped system. While MATLAB‘s . function is a widely used tool for this purpose, its default formulation caters predominantly to underdamped scenar
作者: arrogant    時間: 2025-3-30 22:23
Lecture Notes in Computer Sciencen the number of vehicles on the road, accurate and efficient speed sign identification systems are in high demand. This research presents a comprehensive ResNet model based on transfer learning for recognizing and classifying speed limit traffic signs with multilingual audio alerts. In India, the ne
作者: cortex    時間: 2025-3-31 03:45

作者: PHONE    時間: 2025-3-31 08:31
A Primer on Operational Semantics,ection rely on a single modality (image), resulting in suboptimal predictions. Fusing image data with relevant clinical data enhances the prediction accuracy. Among the existing fusion techniques viz. early, late, and joint fusion, early fusion is a simple strategy wherein the intermodality correlat
作者: GLUT    時間: 2025-3-31 12:58
Elaine Khoo,Craig Hight,Bronwen Cowieormation. Dimensionality reduction has a great impact on the learning accuracy and the computational complexity of techniques for deep learning and machine learning. Most feature selection techniques focused on removing irrelevant and redundant features only and ignored multi-correlation factors suc
作者: Desert    時間: 2025-3-31 14:17

作者: 雜役    時間: 2025-3-31 21:06

作者: Working-Memory    時間: 2025-3-31 23:04
Communication and Intelligent Systems978-981-97-2082-8Series ISSN 2367-3370 Series E-ISSN 2367-3389
作者: BRACE    時間: 2025-4-1 04:18
Am Anfang stehen die Anforderungen,have attempted to use machine learning algorithms for the classification and analysis of EEG signals. This paper is a study of different methods, ranging from machine learning to deep learning that have been used for EEG signal processing.




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