標(biāo)題: Titlebook: Computer, Communication, and Signal Processing. AI, Knowledge Engineering and IoT for Smart Systems; 7th IFIP TC 12 Inter Eunika Mercier-La [打印本頁] 作者: 抵押證書 時(shí)間: 2025-3-21 18:55
書目名稱Computer, Communication, and Signal Processing. AI, Knowledge Engineering and IoT for Smart Systems影響因子(影響力)
書目名稱Computer, Communication, and Signal Processing. AI, Knowledge Engineering and IoT for Smart Systems影響因子(影響力)學(xué)科排名
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書目名稱Computer, Communication, and Signal Processing. AI, Knowledge Engineering and IoT for Smart Systems網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Computer, Communication, and Signal Processing. AI, Knowledge Engineering and IoT for Smart Systems被引頻次
書目名稱Computer, Communication, and Signal Processing. AI, Knowledge Engineering and IoT for Smart Systems被引頻次學(xué)科排名
書目名稱Computer, Communication, and Signal Processing. AI, Knowledge Engineering and IoT for Smart Systems年度引用
書目名稱Computer, Communication, and Signal Processing. AI, Knowledge Engineering and IoT for Smart Systems年度引用學(xué)科排名
書目名稱Computer, Communication, and Signal Processing. AI, Knowledge Engineering and IoT for Smart Systems讀者反饋
書目名稱Computer, Communication, and Signal Processing. AI, Knowledge Engineering and IoT for Smart Systems讀者反饋學(xué)科排名
作者: 亞當(dāng)心理陰影 時(shí)間: 2025-3-21 22:15
Detection and Estimation of Diameter of Retinal Vesselshe retinal vasculatures can signify a spectrum of diseases. In retinal fundus images, providing an automatically estimated diameter of blood vessels may aid clinicians in diagnosing diseases like hypertensive retinopathy, which can even lead to blindness. Therefore, automated diagnosis of these dise作者: antiandrogen 時(shí)間: 2025-3-22 02:38
Automated Summarization of?Gastrointestinal Endoscopy Videoded by the endoscope’s video sequence, a physician can diagnose the diseases and administer the treatment. Unfortunately, due to the huge amount of data generated, physicians are currently discarding procedural video and rely on a small number of carefully chosen images to record a procedure. In add作者: 興奮過度 時(shí)間: 2025-3-22 08:18
Interpretation of?Feature Contribution Towards Diagnosis of?Diabetic Retinopathy from?Exudates in?Re the earliest clinical signs of diabetic retinopathy. Machine learning algorithms have been used to classify the presence or absence of exudates in retinal images. The black box nature of the image classification based on machine learning models limits the clinical applicability. This paper proposes作者: 發(fā)生 時(shí)間: 2025-3-22 12:02
False Positive Reduction in Mammographic Mass Detectionfied ahead of time through a mammogram. The mass is obscured in dense breast tissues and hence the sensitivity is limited in the case of mammography. A computer aided diagnosis (CAD) system helps in overcoming the sensitivity issue in mammography but in turn the system is prone to many false positiv作者: 寬度 時(shí)間: 2025-3-22 13:30 作者: 寬度 時(shí)間: 2025-3-22 18:24
Collaborative CNN with Multiple Tuning for Automated Coral Reef Classification locations of coral reefs. In recent years, there has been a significant proliferation of digital imagery that is utilized for monitoring marine species. Because of the exponential development in the amount of image data that is now accessible, automated detection and classification methods are beco作者: integral 時(shí)間: 2025-3-23 01:08 作者: 冷淡周邊 時(shí)間: 2025-3-23 02:04 作者: echnic 時(shí)間: 2025-3-23 07:44
Deep Learning Models for?Automatic De-identification of?Clinical Text these clinical narratives as electronic health records (EHR). The EHR is an organized collection of patient health information in digital format. These EHR’s are an extensive collection of medical information, and they provide novel and rich data for clinical research. EHR also contains the patient作者: cluster 時(shí)間: 2025-3-23 13:11 作者: Wernickes-area 時(shí)間: 2025-3-23 15:18
An Ensemble Approach to?Hostility Detection in?Hindi Tweetsent. With the increase of such hostile content in social media, there has arisen a need to effectively detect such posts so as take appropriate measures against them. Hence, extensive studies have been performed in this field for the English language, however, similar work is relatively sparse in th作者: 紳士 時(shí)間: 2025-3-23 20:57
An Optimized Framework for Diabetes Mellitus Diagnosis Using Grid Search Based Support Vector Machine to more diseases because of their unhealthy lifestyle and there are a greater number of diseases associated with this. Among them Diabetic Mellitus has become an epidemic because of its dominant prevalence. Though, there are more contributions in diabetic diagnosis, still there is a scope for impr作者: 滴注 時(shí)間: 2025-3-24 02:16
Inquisition of Vision Transformer for Content Based Satellite Image Retrieval day by day. Management of huge archives of satellite image requires intelligent image retrieval system. In this paper, we have carried out study using SOTA Vision Transformer and other deep CNN based features in conjunction with various matching and indexing methods. We conducted exhaustive experim作者: 鴕鳥 時(shí)間: 2025-3-24 05:50
Impact of Spectral Domain Features for Small Object Detection in Remote Sensingor satellite. Accurate object detection in remote sensing images is crucial since security, transportation, environmental monitoring, and rescue applications in the military and civilian sectors demand comprehensive, precise analysis and utilization of these images. Despite recent advances, small ob作者: Madrigal 時(shí)間: 2025-3-24 09:22
Application of?Phonocardiogram and?Electrocardiogram Signal Features in?Cardiovascular Abnormality Rartbeat and heart signals are irregular. Electrocardiograms (ECG) and phonocardiograms (PCGfor) are techniques to identifying cardiovascular abnormalities in modern medicine. As the first step in the diagnosis, sound waves from heartbeats could be classified as normal or abnormal. In order to predic作者: chronicle 時(shí)間: 2025-3-24 13:57
Computer, Communication, and Signal Processing. AI, Knowledge Engineering and IoT for Smart Systems978-3-031-39811-7Series ISSN 1868-4238 Series E-ISSN 1868-422X 作者: archaeology 時(shí)間: 2025-3-24 15:28 作者: coagulate 時(shí)間: 2025-3-24 21:15
978-3-031-43410-5IFIP International Federation for Information Processing 2023作者: Neolithic 時(shí)間: 2025-3-25 00:41 作者: 拱形面包 時(shí)間: 2025-3-25 05:49 作者: Inveterate 時(shí)間: 2025-3-25 09:02
Joshua Woodyatt,Ottavio Quiricohe retinal vasculatures can signify a spectrum of diseases. In retinal fundus images, providing an automatically estimated diameter of blood vessels may aid clinicians in diagnosing diseases like hypertensive retinopathy, which can even lead to blindness. Therefore, automated diagnosis of these dise作者: PIZZA 時(shí)間: 2025-3-25 15:21 作者: alleviate 時(shí)間: 2025-3-25 16:35
https://doi.org/10.1007/978-981-99-2329-8 the earliest clinical signs of diabetic retinopathy. Machine learning algorithms have been used to classify the presence or absence of exudates in retinal images. The black box nature of the image classification based on machine learning models limits the clinical applicability. This paper proposes作者: homeostasis 時(shí)間: 2025-3-25 20:40
Adel Abdel Ghafar,Silvia Colombofied ahead of time through a mammogram. The mass is obscured in dense breast tissues and hence the sensitivity is limited in the case of mammography. A computer aided diagnosis (CAD) system helps in overcoming the sensitivity issue in mammography but in turn the system is prone to many false positiv作者: OREX 時(shí)間: 2025-3-26 02:15 作者: Cardiac 時(shí)間: 2025-3-26 04:25 作者: STAT 時(shí)間: 2025-3-26 08:51
Palgrave Studies in European Union Politics-dimensional (2D) feature array for processing, a 3D array of features/weights would improve the dataflow movement & memory computation. The optimum 8?×?8?×?32 3D-feature array size was chosen based on the factor of on-chip memory requirement, data reuse, and PE utilization. Using the optimum 8?×?8?作者: 埋葬 時(shí)間: 2025-3-26 13:05 作者: occult 時(shí)間: 2025-3-26 18:53 作者: nonradioactive 時(shí)間: 2025-3-26 23:52
https://doi.org/10.1007/978-3-030-42295-0categorize the sentiment of sentences from the rotten tomato’s movie review dataset. In order to achieve best performance three machine learning and three deep learning algorithms were estimated: logistic regression, linear support vector classifier, and Multinomial Naive Bayes (MNB), Recurrent Neur作者: Throttle 時(shí)間: 2025-3-27 02:58
https://doi.org/10.1007/978-3-030-35005-5ent. With the increase of such hostile content in social media, there has arisen a need to effectively detect such posts so as take appropriate measures against them. Hence, extensive studies have been performed in this field for the English language, however, similar work is relatively sparse in th作者: NICHE 時(shí)間: 2025-3-27 06:38 作者: Electrolysis 時(shí)間: 2025-3-27 13:23 作者: 支形吊燈 時(shí)間: 2025-3-27 16:31
Law, Governance and Technology Seriesor satellite. Accurate object detection in remote sensing images is crucial since security, transportation, environmental monitoring, and rescue applications in the military and civilian sectors demand comprehensive, precise analysis and utilization of these images. Despite recent advances, small ob作者: EVADE 時(shí)間: 2025-3-27 21:08 作者: Hangar 時(shí)間: 2025-3-28 01:53
Joshua Woodyatt,Ottavio Quiriconing Vector Quantization (MGLVQ) for selecting important features. We apply knearest neighbor (kNN), Linear Discriminant Analysis (LDA), Support Vector Machine (SVM), Classification and Regression Trees (CART), and Multilayer Perceptron (MLP) classification machine learning algorithms. The performan作者: 主動(dòng)脈 時(shí)間: 2025-3-28 02:56
Joshua Woodyatt,Ottavio Quirico vessel. The performance of these three algorithms is compared against the available ground truth average diameter for both CLRIS and VDIS. It was found that the estimated diameter is closer to the available ground truth using morphological-based and center line-based, respectively. However, the est作者: ESO 時(shí)間: 2025-3-28 06:31
Ottavio Quirico,Katarzyna Kwapisz Williamss is proposed. Results show that our method can efficiently detect abnormal frames and is robust to the variations in the frames. The proposed CNN architecture outperforms the other classification models with an accuracy of 0.9698 with less number of parameters.作者: 罐里有戒指 時(shí)間: 2025-3-28 14:10 作者: 說笑 時(shí)間: 2025-3-28 18:18 作者: SSRIS 時(shí)間: 2025-3-28 21:45
The European Union and the Kurds in Iraq,s of research conducted on a completely automated system for the accurate identification and categorization of coral reefs found in the ocean. The solution that is being proposed here is an ensemble of two different Convolutional Neural Network (CNN) models that include fully linked layers that can 作者: PARA 時(shí)間: 2025-3-28 22:56 作者: SOW 時(shí)間: 2025-3-29 03:10 作者: myelography 時(shí)間: 2025-3-29 08:38 作者: Admire 時(shí)間: 2025-3-29 13:36
Detection and Estimation of Diameter of Retinal Vessels vessel. The performance of these three algorithms is compared against the available ground truth average diameter for both CLRIS and VDIS. It was found that the estimated diameter is closer to the available ground truth using morphological-based and center line-based, respectively. However, the est作者: NIL 時(shí)間: 2025-3-29 16:33 作者: 壓碎 時(shí)間: 2025-3-29 23:41
False Positive Reduction in Mammographic Mass Detectionmployed in this work, resulting in the classification accuracy of 96%, 80%, 76% and 88% and false positive rates (FPR) of 0, 0.26, 0.25 and 0.12 for each density-specific mass detection models respectively.作者: 精致 時(shí)間: 2025-3-29 23:56 作者: mydriatic 時(shí)間: 2025-3-30 05:34
Collaborative CNN with Multiple Tuning for Automated Coral Reef Classifications of research conducted on a completely automated system for the accurate identification and categorization of coral reefs found in the ocean. The solution that is being proposed here is an ensemble of two different Convolutional Neural Network (CNN) models that include fully linked layers that can 作者: obsession 時(shí)間: 2025-3-30 09:57
Forecast of Movie Sentiment Based on Multi Label Text Classification on Rotten Tomatoes Using Multip text data are considered for testing of correct predictive model and prediction of new text data. Optimized predicted model, i.e., CNN seems to give correct predictions for new test data. Hence, CNN model supposed to be used as one of the most suitable models for sentiment analysis of Rotten Tomato作者: 高興去去 時(shí)間: 2025-3-30 13:20 作者: Peculate 時(shí)間: 2025-3-30 20:11
