標(biāo)題: Titlebook: Applications of Computational Intelligence; Second IEEE Colombia Alvaro David Orjuela-Ca?ón,Juan Carlos Figueroa-Ga Conference proceedings [打印本頁(yè)] 作者: 會(huì)議記錄 時(shí)間: 2025-3-21 16:15
書目名稱Applications of Computational Intelligence影響因子(影響力)
書目名稱Applications of Computational Intelligence影響因子(影響力)學(xué)科排名
書目名稱Applications of Computational Intelligence網(wǎng)絡(luò)公開度
書目名稱Applications of Computational Intelligence網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Applications of Computational Intelligence被引頻次
書目名稱Applications of Computational Intelligence被引頻次學(xué)科排名
書目名稱Applications of Computational Intelligence年度引用
書目名稱Applications of Computational Intelligence年度引用學(xué)科排名
書目名稱Applications of Computational Intelligence讀者反饋
書目名稱Applications of Computational Intelligence讀者反饋學(xué)科排名
作者: 指令 時(shí)間: 2025-3-21 21:54
Framework Comparison of Neural Networks for Automated Counting of Vehicles and Pedestrianscars, the application count pedestrians. Frameworks used are: SSD Mobilenet re-trained, SSD Mobilenet pre-trained, and GoogLeNet pre-trained. The evaluation data set has a total duration of 60?min and comes from three different cameras. Images from the real deployment videos are included when traini作者: labile 時(shí)間: 2025-3-22 03:15
Retail Traffic-Flow Analysis Using a Fast Multi-object Detection and Tracking Systemare-based solutions, which have major drawbacks, such as high deployment and maintenance costs. In this work, we address this issue by proposing a Multiple-Object Tracking (MOT) system, following the tracking-by-detection paradigm, that leverages on an ensemble of detectors, each running every . fra作者: chondromalacia 時(shí)間: 2025-3-22 05:33
Accelerating Video Processing Inside Embedded Devices to Count Mobility Actorsdeo flows? This work analyze techniques to accelerate a counting system for mobility actors like cars, pedestrians, motorcycles, bicycles, buses, and trucks in the context of an Edge computing application using deep learning. To solve this problem this study presents the analysis and implementation 作者: 增長(zhǎng) 時(shí)間: 2025-3-22 12:09
Influences of the Trained State Model into the Decoding of Elbow Motion Using Kalman Filter cross-validation are tested in order to find the ones that reduce the estimation error. Found that selecting correctly the number of channels and the time step used to configure the signal, it is possible to improve the filter estimation capabilities. As there was an apparent incidence of the varia作者: vasculitis 時(shí)間: 2025-3-22 16:21
Building Dengue Sensors for Brazil Using a Social Network and Text MiningTopics related to politics, science, health alarms and others are shared by users everyday to monitor an prevent events. Natural Language Processing is the tool to analyze this text and get some insight using Machine Learning Techniques. In this work, . is analyzed to detect social events because us作者: Substitution 時(shí)間: 2025-3-22 20:38
Prediction of Diabetic Patient Readmission Using Machine Learningence efforts are generally made by medical professionals in order to prevent them. These endeavors are especially critical in the case of chronic conditions, such as diabetes. Recent developments in machine learning have been successful at predicting readmissions from the medical history of the diab作者: 稱贊 時(shí)間: 2025-3-23 00:05 作者: Defraud 時(shí)間: 2025-3-23 02:29
DCGAN Model Used to Generate Body Gestures on a Human-Humanoid Interaction System programmed to behave autonomous ways to provide help to people. The aspect of the humanoids and the humanness of interaction are key components of success. We developed a system to endow the humanoid robot Pepper, from SoftBank Robotics, with the capability of both: identify the emotion state of th作者: 前奏曲 時(shí)間: 2025-3-23 07:05 作者: 過(guò)去分詞 時(shí)間: 2025-3-23 09:51
Classification of Satellite Images Using Rp Fuzzy C Meansncreasingly common access to satellite data. In this context. The investigation of techniques related to remote sensing becomes very important because it provide important information about the earth’s surface. Currently, segmentation is an essential step in applications that make use of satellite i作者: ciliary-body 時(shí)間: 2025-3-23 16:39
A Feature Extraction Method Based on Convolutional Autoencoder for Plant Leaves Classificationent trees. While previous approaches relied on image processing and manual feature extraction, the proposed approach operates directly on the image pixels, without any preprocessing. Firstly, we use multiple layers of CAE to learn the features of leaf image dataset. Secondly, the extracted features 作者: 橫截,橫斷 時(shí)間: 2025-3-23 20:12
Acquisition System Based in a Low-Cost Optical Architecture with Single Pixel Measurements and RGB Sial vehicles (UAVs), it is common to attach a spectral camera to an UAV to acquire information. Unfortunately, the spectral cameras used with UAV are expensive. Therefore this work proposes a low-cost optical architecture to acquire spectral images. The proposed architecture takes advantage of the U作者: 周興旺 時(shí)間: 2025-3-24 02:06
Integration of an Adaptive Cellular Automaton and a Cellular Neural Network for the Impulsive Noise detection in grayscale images. In general, this procedure consists of: (1) implementing a cellular automaton (CA) with an adaptive behavior that expands the Moore neighborhood when it considers that the information obtained from its first level neighbors is insufficient. Based on the above, the ima作者: RAG 時(shí)間: 2025-3-24 03:36
Sweet Citrus Fruit Detection in Thermal Images Using Fuzzy Image Processingficiency of those systems is proposes a vision algorithm to estimate the amount of fruits in sweet orange trees. This study proposes a computer vision system based on the capture of thermal images and fuzzy image processing. A bibliographical review has been done to analyze the state-of-the-art of t作者: Inelasticity 時(shí)間: 2025-3-24 10:34
1865-0929 bia, in June 2019.?.The 21 full papers presented were carefully reviewed and selected from 59 submissions. The papers cover such topics as video processing; biomedical systems; image processing, etc.?. .978-3-030-36210-2978-3-030-36211-9Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: instill 時(shí)間: 2025-3-24 12:15
https://doi.org/10.1007/978-3-662-45614-9s the tool to analyze this text and get some insight using Machine Learning Techniques. In this work, . is analyzed to detect social events because users are considered sensors. The analysis is performed over Brazilian tweets to detect dengue. The results show the utility of the proposal to recognize dengue epidemics in the Brazilian territory.作者: 熱情贊揚(yáng) 時(shí)間: 2025-3-24 18:46
https://doi.org/10.1007/978-3-658-31005-9xels, without any preprocessing. Firstly, we use multiple layers of CAE to learn the features of leaf image dataset. Secondly, the extracted features were used to train a linear classifier based on SVM. Experimental results show that the classifiers using these features can improve their predictive value, reaching an accuracy rate of 94.74%.作者: 聰明 時(shí)間: 2025-3-24 21:58
Building Dengue Sensors for Brazil Using a Social Network and Text Minings the tool to analyze this text and get some insight using Machine Learning Techniques. In this work, . is analyzed to detect social events because users are considered sensors. The analysis is performed over Brazilian tweets to detect dengue. The results show the utility of the proposal to recognize dengue epidemics in the Brazilian territory.作者: hypnotic 時(shí)間: 2025-3-25 01:07 作者: VEST 時(shí)間: 2025-3-25 04:09
Retail Traffic-Flow Analysis Using a Fast Multi-object Detection and Tracking Systemmes. We further measured the performance of our model in the MOT16 Challenge and applied our algorithm to obtain heatmaps and paths for customers and shopping carts in a retail store from CCTV cameras.作者: AMPLE 時(shí)間: 2025-3-25 10:01 作者: 圓柱 時(shí)間: 2025-3-25 12:46
Prediction of Diabetic Patient Readmission Using Machine Learningetic patient. However, these approaches rely on a large number of clinical variables thereby requiring deep learning techniques. This article presents the application of simpler machine learning models achieving superior prediction performance while making computations more tractable.作者: 戲法 時(shí)間: 2025-3-25 15:51 作者: 災(zāi)禍 時(shí)間: 2025-3-25 23:07
Self-help groups as a route to empowermentmes. We further measured the performance of our model in the MOT16 Challenge and applied our algorithm to obtain heatmaps and paths for customers and shopping carts in a retail store from CCTV cameras.作者: propose 時(shí)間: 2025-3-26 00:41 作者: 詞匯表 時(shí)間: 2025-3-26 07:04 作者: 領(lǐng)袖氣質(zhì) 時(shí)間: 2025-3-26 08:36 作者: 戲服 時(shí)間: 2025-3-26 16:04
,Einführung – Aus der Praxis für die Praxis,MBF using Scale Invariant Features. The obtained results show that with a video resolution of 1280?.?720 pixels and using SVM, precision and recognition rates of 86% and 94% are obtained respectively, while with SSD 93% and 67% rates are reached with times of processing higher than SVM.作者: defendant 時(shí)間: 2025-3-26 18:56 作者: ARY 時(shí)間: 2025-3-26 22:18 作者: 泄露 時(shí)間: 2025-3-27 02:42 作者: 存心 時(shí)間: 2025-3-27 07:01
Framework Comparison of Neural Networks for Automated Counting of Vehicles and Pedestrians 0.97 and 0.90 respectively in the best case, making use of a trained model by default, while for the class people the use of a re-trained model provides better results with precision and recall values of 1 and 0.82.作者: ALLEY 時(shí)間: 2025-3-27 09:33
Accelerating Video Processing Inside Embedded Devices to Count Mobility ActorsVINO toolkit and overclock of hardware. The use of SSD-Mobilenet’s model generates different results in terms of accuracy and time of video processing in the system. Results show that the use of an embedded device in combination with a VPU and video processing techniques reach 18.62 Frames per Secon作者: kyphoplasty 時(shí)間: 2025-3-27 13:38 作者: FLIP 時(shí)間: 2025-3-27 21:27
Classification of Satellite Images Using Rp Fuzzy C Meansby new term that was integrated into the NFCC algorithm (New Fuzzy Centroid Cluster)..For the tests, we use the internal validity of the cluster to compare the algorithms. Using the index we measure the characteristics of the segmentation and corroborate them with the final visual results. Therefore作者: obstruct 時(shí)間: 2025-3-27 21:59
Acquisition System Based in a Low-Cost Optical Architecture with Single Pixel Measurements and RGB S1?dB and 20.44?dB respectively, also obtained a performance similar to an architecture that combine the SPC and RGB, and even besting it improving the quality of the image in terms of PSNR up?to 0.49?dB. Moreover, the optical architecture proposed has the advantage of reducing the amount of sensed i作者: 皮薩 時(shí)間: 2025-3-28 05:09
Integration of an Adaptive Cellular Automaton and a Cellular Neural Network for the Impulsive Noise can be performed. The results for the noise elimination present a restoration of the image that oscillates between . and ., indicating that the image does not lose its quality despite being exposed to high noise levels, similarly it occurs for the edge detection, which presents an approximate effic作者: 欺騙世家 時(shí)間: 2025-3-28 09:17
Sweet Citrus Fruit Detection in Thermal Images Using Fuzzy Image Processingtabase was created with images of sweet orange acquired in the Maringá Farm. The validation process indicated that the variation of the tree branch and the fruit temperature is not very high, making it difficult to segment the images using a temperature threshold. Errors in the segmentation algorith作者: 挑剔小責(zé) 時(shí)間: 2025-3-28 13:11 作者: 使腐爛 時(shí)間: 2025-3-28 16:13
Self-help groups as a route to empowermentVINO toolkit and overclock of hardware. The use of SSD-Mobilenet’s model generates different results in terms of accuracy and time of video processing in the system. Results show that the use of an embedded device in combination with a VPU and video processing techniques reach 18.62 Frames per Secon作者: DNR215 時(shí)間: 2025-3-28 20:53 作者: cylinder 時(shí)間: 2025-3-29 02:01 作者: LAVA 時(shí)間: 2025-3-29 05:32 作者: 打谷工具 時(shí)間: 2025-3-29 10:13 作者: certitude 時(shí)間: 2025-3-29 12:39 作者: 控訴 時(shí)間: 2025-3-29 18:00 作者: 推遲 時(shí)間: 2025-3-29 20:56 作者: 不規(guī)則的跳動(dòng) 時(shí)間: 2025-3-30 02:39 作者: 沉思的魚 時(shí)間: 2025-3-30 05:02 作者: Rejuvenate 時(shí)間: 2025-3-30 12:08
Conference proceedings 2019This book constitutes the thoroughly refereed proceedings of the Second IEEE Colombian Conference, ColCACI 2019, held in Barranquilla, Colombia, in June 2019.?.The 21 full papers presented were carefully reviewed and selected from 59 submissions. The papers cover such topics as video processing; biomedical systems; image processing, etc.?. .作者: Highbrow 時(shí)間: 2025-3-30 14:40
https://doi.org/10.1007/978-3-030-36211-9artificial intelligence; computer hardware; computer systems; computer vision; education; engineering; ima作者: 排斥 時(shí)間: 2025-3-30 17:14 作者: GLARE 時(shí)間: 2025-3-30 22:01
,Einführung – Aus der Praxis für die Praxis,lution. However, lower processing capacities constraint the number of techniques available for devices, in this work we report the performance of two techniques for classification from video on a minicomputer. The implementation of a real-time vehicle counting and classification system is evaluated 作者: MELD 時(shí)間: 2025-3-31 04:32 作者: 外來(lái) 時(shí)間: 2025-3-31 08:30
Self-help groups as a route to empowermentare-based solutions, which have major drawbacks, such as high deployment and maintenance costs. In this work, we address this issue by proposing a Multiple-Object Tracking (MOT) system, following the tracking-by-detection paradigm, that leverages on an ensemble of detectors, each running every . fra作者: FUSE 時(shí)間: 2025-3-31 09:10
