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標(biāo)題: Titlebook: Computational Intelligence and Network Systems; First International Raja Muthalagu,Tamizharasan P S,Michele Fiorentino Conference proceedi [打印本頁]

作者: Twinge    時(shí)間: 2025-3-21 16:46
書目名稱Computational Intelligence and Network Systems影響因子(影響力)




書目名稱Computational Intelligence and Network Systems影響因子(影響力)學(xué)科排名




書目名稱Computational Intelligence and Network Systems網(wǎng)絡(luò)公開度




書目名稱Computational Intelligence and Network Systems網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computational Intelligence and Network Systems被引頻次




書目名稱Computational Intelligence and Network Systems被引頻次學(xué)科排名




書目名稱Computational Intelligence and Network Systems年度引用




書目名稱Computational Intelligence and Network Systems年度引用學(xué)科排名




書目名稱Computational Intelligence and Network Systems讀者反饋




書目名稱Computational Intelligence and Network Systems讀者反饋學(xué)科排名





作者: JOT    時(shí)間: 2025-3-21 22:49
Arzneimittelsicherheitssystem und Akteure,UNet based network. The results indicate that the proposed system achieves high accuracy of 95.14%, sensitivity of 90.00%, and specificity of around 96.72% to classify various heart sound abnormalities.
作者: 高度表    時(shí)間: 2025-3-22 04:24

作者: 使害羞    時(shí)間: 2025-3-22 08:32

作者: 夸張    時(shí)間: 2025-3-22 12:07

作者: 同步左右    時(shí)間: 2025-3-22 14:35
1865-0929 to 20, 2023..The 11 full papers included in this volume were carefully reviewed and selected from 130 submissions. This volume discusses contemporary challenges within computing systems and the utilization of intelligent approaches to improve computing methodologies, data processing capabilities, a
作者: 同步左右    時(shí)間: 2025-3-22 17:44
MLSM: A Metadata Driven Learning Infused Semantics Oriented Model for Web Image Recommendation via William index and adaptive pointwise mutual index measures are integrated into the model. An intermediate semantic network is formalized, and Optimization is achieved using the harmonic search algorithm. Proposed MLSM is best among the baseline models with Precision of 94.09% recall of 96.91%.
作者: 旋轉(zhuǎn)一周    時(shí)間: 2025-3-22 23:37
Conference proceedings 2024lication of these intelligent techniques. The book also addresses several topics pertaining to networks, including security, network data processing, networks that transcend boundaries, device heterogeneity, and advancements in networks connected to the Internet of Things, software-defined networks, cloud computing, and intelligent networks..
作者: ANNUL    時(shí)間: 2025-3-23 01:56
Der Arzneimittelproduzent im Strafrecht, William index and adaptive pointwise mutual index measures are integrated into the model. An intermediate semantic network is formalized, and Optimization is achieved using the harmonic search algorithm. Proposed MLSM is best among the baseline models with Precision of 94.09% recall of 96.91%.
作者: 獸皮    時(shí)間: 2025-3-23 06:28
Conference proceedings 202423..The 11 full papers included in this volume were carefully reviewed and selected from 130 submissions. This volume discusses contemporary challenges within computing systems and the utilization of intelligent approaches to improve computing methodologies, data processing capabilities, and the app
作者: 匍匐    時(shí)間: 2025-3-23 10:51

作者: 美麗的寫    時(shí)間: 2025-3-23 17:37
SemVidRec: A Semantic Approach to Annotations Driven Video Recommendation Model Incorporating Machiand the use of a knowledge store like DBpedia allows for enriching the query terms based on the topics discovered. The video dataset is categorized using a combination of Random Forest and decision tree-bagging techniques, which are based on the extracted features of the videos. The proposed SemVidR
作者: 物種起源    時(shí)間: 2025-3-23 21:32
EEG-Based Identification of Schizophrenia Using Deep Learning Techniques,ation of multiple layers of convolutional neural networks and gated recurrent unit (GRU) are used to analyze the signals. Manual features are extracted from EEG signals and then feed into logistic regression to classify the signals. Extraction of Mel Frequency Cepstral Coefficient (MFCC) feature is
作者: EVICT    時(shí)間: 2025-3-24 00:07
,Protocol Security in?6th Generation (6G) Networks,. The protocol security is very crucial issue to be considered. In this article, the security is the major concern that has been discussed in detail. Very few researchers have done the work on 6G protocol security in last three years. So, in this article, the main focus is to explore the security pr
作者: JAUNT    時(shí)間: 2025-3-24 05:08

作者: STALE    時(shí)間: 2025-3-24 08:24

作者: 自傳    時(shí)間: 2025-3-24 13:32

作者: compassion    時(shí)間: 2025-3-24 15:16
Deep CNN Based Alzheimer Analysis in MRI Using Clinical Dementia Rating,arly stopping on loss helped prevent overfitting, and a batch size of 75 was used for faster convergence. We generated an accuracy of 90% on the FSL-SEG MRI images whereas the RAW images resulted in an accuracy of 83%. With a value of 0.79 in Area Under the Curve, The CDR (Clinical Dementia Rating)
作者: overweight    時(shí)間: 2025-3-24 21:25
,Disaster Tweets Classification for?Multilingual Tweets Using Machine Learning Techniques,h proposes a comprehensive approach that leverages machine learning and deep learning models to accurately classify disaster-related tweets in multiple languages, including English, Hindi, and Bengali. The study evaluates the performance of seven Machine Learning classifiers, including Naive Bayes,
作者: 談判    時(shí)間: 2025-3-25 01:01
Gebot strafrechtlicher Arzneimittelhaftung,and the use of a knowledge store like DBpedia allows for enriching the query terms based on the topics discovered. The video dataset is categorized using a combination of Random Forest and decision tree-bagging techniques, which are based on the extracted features of the videos. The proposed SemVidR
作者: 統(tǒng)治人類    時(shí)間: 2025-3-25 07:07

作者: 戰(zhàn)役    時(shí)間: 2025-3-25 08:24

作者: anatomical    時(shí)間: 2025-3-25 12:13

作者: UNT    時(shí)間: 2025-3-25 15:59

作者: pacific    時(shí)間: 2025-3-25 19:59
Arzneimittelsicherheitssystem und Akteure,nctions and roles of proteins within plants, ultimately advancing our understanding of plant biology. This attempt offers new possibilities for advancement in critical sectors such as agriculture, drug discovery, and genomic research by eliminating the limitations associated with limited protein lab
作者: 廣告    時(shí)間: 2025-3-26 02:31

作者: Notify    時(shí)間: 2025-3-26 07:48
Strafrechtliche Risiken des Sponsoringh proposes a comprehensive approach that leverages machine learning and deep learning models to accurately classify disaster-related tweets in multiple languages, including English, Hindi, and Bengali. The study evaluates the performance of seven Machine Learning classifiers, including Naive Bayes,
作者: gratify    時(shí)間: 2025-3-26 11:43

作者: 虛弱的神經(jīng)    時(shí)間: 2025-3-26 14:27

作者: HALO    時(shí)間: 2025-3-26 17:54

作者: Strength    時(shí)間: 2025-3-26 23:10

作者: 深陷    時(shí)間: 2025-3-27 03:24

作者: 改變    時(shí)間: 2025-3-27 05:43
Arzneimittelsicherheitssystem und Akteure,rain disorder which can be identified by various symptoms. Most common symptoms of Schizophrenia are speech disorder, laughing without any reason, crying without any reason, poor memory, lack of motivation etc. EEG signals are collected from human brains by placing electrodes (metal discs) on the sc
作者: Sinus-Rhythm    時(shí)間: 2025-3-27 11:00

作者: defile    時(shí)間: 2025-3-27 14:58

作者: Decongestant    時(shí)間: 2025-3-27 18:25

作者: 有限    時(shí)間: 2025-3-27 23:32

作者: single    時(shí)間: 2025-3-28 05:42

作者: forecast    時(shí)間: 2025-3-28 06:38

作者: occult    時(shí)間: 2025-3-28 10:53
Strafrechtliche Risiken des Sponsoringter response necessitates prompt and coordinated actions. Social media platforms, particularly Twitter, have emerged as invaluable assets in disaster management. With an enormous daily influx of tweets, Twitter data presents an opportunity to gain valuable insights for tracking and responding to dis
作者: 不要嚴(yán)酷    時(shí)間: 2025-3-28 15:34
Strafrechtliche Risiken des Sponsoring. Manual mitosis counting is time-consuming and subjective, prompting the need for automated approaches to improve efficiency and accuracy. In this study, we have developed a transformer-based U-Net model that combines the effectiveness of transformers which were originally designed for natural lang
作者: 刪減    時(shí)間: 2025-3-28 22:11
Computational Intelligence and Network Systems978-3-031-48984-6Series ISSN 1865-0929 Series E-ISSN 1865-0937
作者: 披肩    時(shí)間: 2025-3-29 01:50

作者: 壓倒性勝利    時(shí)間: 2025-3-29 06:10

作者: circumvent    時(shí)間: 2025-3-29 09:55
EEG-Based Identification of Schizophrenia Using Deep Learning Techniques,rain disorder which can be identified by various symptoms. Most common symptoms of Schizophrenia are speech disorder, laughing without any reason, crying without any reason, poor memory, lack of motivation etc. EEG signals are collected from human brains by placing electrodes (metal discs) on the sc
作者: 奇思怪想    時(shí)間: 2025-3-29 11:49

作者: colostrum    時(shí)間: 2025-3-29 17:42
,Protocol Security in?6th Generation (6G) Networks,t of Everything. People are already using the 5G Networks and facing several issues in that due to which the 6G networks are very important to develop. 6G technology ensures to connect every device present in the world with the internet providing Quality of Service. The 6G networks are still in disc
作者: 不公開    時(shí)間: 2025-3-29 23:44

作者: ferment    時(shí)間: 2025-3-30 03:50

作者: interpose    時(shí)間: 2025-3-30 06:14
Plant Protein Classification Using K-mer Encoding,characterize and comprehend the precise roles and activities of different proteins. Furthermore, it restricts development in fields like biotechnology, disease resistance, and crop enhancement. The presented project focuses on plant protein classification, aiming to overcome the challenges arising f




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