標(biāo)題: Titlebook: Artificial Intelligence: Theories and Applications; First International Mohammed Salem,Juan Julián Merelo,Fatima Debbat Conference proceed [打印本頁] 作者: Agitated 時間: 2025-3-21 17:37
書目名稱Artificial Intelligence: Theories and Applications影響因子(影響力)
書目名稱Artificial Intelligence: Theories and Applications影響因子(影響力)學(xué)科排名
書目名稱Artificial Intelligence: Theories and Applications網(wǎng)絡(luò)公開度
書目名稱Artificial Intelligence: Theories and Applications網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Artificial Intelligence: Theories and Applications被引頻次
書目名稱Artificial Intelligence: Theories and Applications被引頻次學(xué)科排名
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書目名稱Artificial Intelligence: Theories and Applications年度引用學(xué)科排名
書目名稱Artificial Intelligence: Theories and Applications讀者反饋
書目名稱Artificial Intelligence: Theories and Applications讀者反饋學(xué)科排名
作者: ALB 時間: 2025-3-21 22:25
Ekbert Hering,Alexander Schloskebetter fit the input data. The sensitivity to subtle visual details is a key factor for a better facial expression recognition. Furthermore, this method uses the same number of parameters as a convolution layer or a dense layer. The experiments conducted on FER datasets show that the use of our meth作者: Herpetologist 時間: 2025-3-22 01:26
N. Vonk,B. G. J. Baars,H. Schaller apply the proposed approach on Wisconsin Diagnostic Breast Cancer (WDBC) database. The experimental result improve that the hybridation between RGWO for feature selection and RF classifier increase the accuracy rate of classification and demonstrating it’s robustness in identifying the breast cance作者: ENDOW 時間: 2025-3-22 06:30 作者: 鴿子 時間: 2025-3-22 08:50 作者: V洗浴 時間: 2025-3-22 15:25 作者: 寵愛 時間: 2025-3-22 18:14
https://doi.org/10.1007/978-3-642-84136-1od is tested and compared with the conventional method with free and additional disturbances. Simulation results have shown the advantages of automatic tuning of the FSMC‘s parameters to achieve the desired results. The superiority of the tuned controller has been proved to control?the pole angle of作者: etidronate 時間: 2025-3-22 22:31
Entwurf von Fehlertoleranz-Verfahren,t gives the best classification performances in terms of turnaround time and the following metrics: Accuracy, Precision, Recall, and F1 score..The outcomes of the comparison study show that the SVM algorithm is the best classification machine-learning algorithm for automatic ITSC fault detection sin作者: nonradioactive 時間: 2025-3-23 03:09 作者: 陳舊 時間: 2025-3-23 06:15 作者: 放棄 時間: 2025-3-23 11:44
Robust Method for Breast Cancer Classification Based on Feature Selection Using RGWO Algorithm apply the proposed approach on Wisconsin Diagnostic Breast Cancer (WDBC) database. The experimental result improve that the hybridation between RGWO for feature selection and RF classifier increase the accuracy rate of classification and demonstrating it’s robustness in identifying the breast cance作者: Catheter 時間: 2025-3-23 15:53 作者: Ingratiate 時間: 2025-3-23 21:01 作者: DALLY 時間: 2025-3-24 01:53
A Novel Classification Method for?Group Decision-Making Dimensionsn society for the whole world during the recent Covid-19 pandemic. We first present the associated challenges, followed by the potential solution of computer-based group decision-making systems. We further discuss binary and multi-features of group decision approaches with justifications and example作者: 睨視 時間: 2025-3-24 04:51 作者: dapper 時間: 2025-3-24 10:10
Intelligent ITSC Fault Detection in PMSG Using the Machine Learning Techniquet gives the best classification performances in terms of turnaround time and the following metrics: Accuracy, Precision, Recall, and F1 score..The outcomes of the comparison study show that the SVM algorithm is the best classification machine-learning algorithm for automatic ITSC fault detection sin作者: pacific 時間: 2025-3-24 12:46 作者: synovitis 時間: 2025-3-24 17:04 作者: 歌唱隊 時間: 2025-3-24 20:50
1865-0929 s, ICAITA 2022, held in Mascara, Algeria, in November 2022.?.The 23 papers were thoroughly reviewed and selected from the 66 qualified submissions. They are organized in topical sections on??artificial vision; and articial intelligence in big data and natural language processing.?.978-3-031-28539-49作者: 消音器 時間: 2025-3-24 23:38
N. Vonk,B. G. J. Baars,H. Schallert and diagnose glaucoma based on the processed funds images. It is divided into two phases: Learning and Classification. Results are promising to detect such a disease from retina images even when compared to other architectures.作者: Inflamed 時間: 2025-3-25 06:30
Walter Geisselhardt,Michael Trautwein the regions of interest. To evaluate the proposed approach, the detection process is tested on the skin lesion images (melanoma, nevus) from MED-NODE and Atlas (dermIS, dermQUST) databases. The obtained qualitative and statistical results demonstrate the superiority of the proposed detector.作者: 含糊 時間: 2025-3-25 11:09 作者: GROWL 時間: 2025-3-25 14:26
An Optimized MSER Using Bat Algorithm for?Skin Lesion Detection the regions of interest. To evaluate the proposed approach, the detection process is tested on the skin lesion images (melanoma, nevus) from MED-NODE and Atlas (dermIS, dermQUST) databases. The obtained qualitative and statistical results demonstrate the superiority of the proposed detector.作者: 排斥 時間: 2025-3-25 15:58
https://doi.org/10.1007/978-3-658-29520-2 extracting multiscale features from multiple convolutional layers. Secondly, the features extracted from the convolutional layers are fused to generate more robust representations for efficient image retrieval. The experiments on the CIFAR10 and NUS-WIDE datasets show the superiority of our method.作者: Expediency 時間: 2025-3-25 21:36
https://doi.org/10.1007/978-3-642-84136-1 proposed approach are evaluated and compared with other algorithms developed to solve the same problem. The results show a clear superiority of our proposal against the other in terms of execution time and result quality.作者: Delectable 時間: 2025-3-26 04:07 作者: Adrenaline 時間: 2025-3-26 05:07 作者: Deadpan 時間: 2025-3-26 09:52
https://doi.org/10.1007/978-3-658-29520-2ording the k-fold-cross-validation strategy. The performance of the proposed approach is evaluated, and several experiments are carried using four performance indices (SRCC, PCC, KROCC and RMSE). The results achieve superior performance to state-of-the-art methods in predicting the perceptual quality of SCIs.作者: artifice 時間: 2025-3-26 12:47
,Verfügbarkeit fehlertoleranter Systeme,d and compared on our document image dataset that we built from document images presenting different challenges, categories, complexity levels and degradation kinds. The experimental results carried out are encouraging and confirmed the superiority of our approach compared to more than sixteen existing approaches with and without learning.作者: Wallow 時間: 2025-3-26 18:23
,Fehlertolerantes Pr?zisionsfügen,red approach of the GRASP meta-heuristic (Greedy Randomized Adaptive Search Procedure) and going to compare the results with the Pareto front’s solution under the LCE (leave copy everywhere) placement strategy to find the set of optimal cache distributions.作者: 門閂 時間: 2025-3-26 22:06 作者: 起波瀾 時間: 2025-3-27 03:22
Genetic Programming for Screen Content Image Quality Assessmentording the k-fold-cross-validation strategy. The performance of the proposed approach is evaluated, and several experiments are carried using four performance indices (SRCC, PCC, KROCC and RMSE). The results achieve superior performance to state-of-the-art methods in predicting the perceptual quality of SCIs.作者: 要求比…更好 時間: 2025-3-27 08:07 作者: 膠水 時間: 2025-3-27 11:22 作者: Expand 時間: 2025-3-27 15:33 作者: 谷物 時間: 2025-3-27 21:22 作者: 箴言 時間: 2025-3-28 00:47
Expanding Convolutional Neural Network Kernel for?Facial Expression Recognitionse a Facial Expression Recognition (FER) method, based on kernel enhanced Convolutional Neural Network (CNN) model. Our method improves the performance of a CNN without increasing its depth nor its width. It consists of expanding the linear kernel function, used at different levels of a CNN. The exp作者: 老巫婆 時間: 2025-3-28 03:16 作者: geometrician 時間: 2025-3-28 10:02
Convolution Neural Network Based Approach for Glaucoma Disease Detectionmptoms during the early stages makes it hard to detect. This paper is dedicated to design a convolutional neural network (CNN) based approach to detect and diagnose glaucoma based on the processed funds images. It is divided into two phases: Learning and Classification. Results are promising to dete作者: 結(jié)構(gòu) 時間: 2025-3-28 10:59 作者: browbeat 時間: 2025-3-28 14:37 作者: fatty-acids 時間: 2025-3-28 19:37
A Progressive Deep Transfer Learning for the Diagnosis of Alzheimer’s Disease on Brain MRI Images0 people suffer from it in Algeria. Therefore, early diagnosis is vital for the patient’s treatment. In this paper, to improve the precision of early diagnosis, MRI images are employed to extract hidden features using a variety of transfer learning strategies on convolutional neural network models w作者: 內(nèi)閣 時間: 2025-3-28 23:32 作者: INTER 時間: 2025-3-29 04:06 作者: CLEFT 時間: 2025-3-29 10:22
Bi-ESRGAN: A New Approach of Document Image Super-Resolution Based on Dual Deep Transfer Learnings an improvement of an already existing method but constrained by its poor caliber by its low quality on document images. In these images of complex types, it is necessary to preserve the most details and outlines of text and graphic areas. These constraints were the target of our contribution, whic作者: RLS898 時間: 2025-3-29 14:24 作者: HAIRY 時間: 2025-3-29 16:52 作者: 冷峻 時間: 2025-3-29 20:38 作者: 叫喊 時間: 2025-3-30 02:11 作者: Glucose 時間: 2025-3-30 07:51
Global Automatic Tuning of Fuzzy Sliding Mode Controller for an Inverted Pendulum: A Genetic Solutioze the pole angle and avoid the chattering phenomenon. To get the best performances of the system, we need to tune simultaneously a large number of controller parameters to satisfy a cost function. A manual tuning design would be time-consuming. The genetic algorithm based on the Darwinian principle作者: boisterous 時間: 2025-3-30 09:36
Intelligent ITSC Fault Detection in PMSG Using the Machine Learning Techniqueding to global statistics, Inter-turns short circuit (ITSC) faults are the frequent electrical stator faults and the major cause of failures..This paper presents an automatic and intelligent method to detect an ITSC fault in the PMSG based on the machine learning technique. For this aim, this work p作者: 挑剔小責(zé) 時間: 2025-3-30 12:57 作者: Ceramic 時間: 2025-3-30 17:50
https://doi.org/10.1007/978-3-031-28540-0artificial intelligence; machine learning; computer vision; neural networks; data mining; image analysis; 作者: archenemy 時間: 2025-3-30 21:01 作者: 錫箔紙 時間: 2025-3-31 01:49
Ekbert Hering,Alexander Schloskese a Facial Expression Recognition (FER) method, based on kernel enhanced Convolutional Neural Network (CNN) model. Our method improves the performance of a CNN without increasing its depth nor its width. It consists of expanding the linear kernel function, used at different levels of a CNN. The exp作者: 模仿 時間: 2025-3-31 07:29 作者: 開花期女 時間: 2025-3-31 10:46 作者: forestry 時間: 2025-3-31 16:20 作者: ADAGE 時間: 2025-3-31 18:00 作者: 舊病復(fù)發(fā) 時間: 2025-4-1 00:03
Walter Geisselhardt,Michael Trautwein0 people suffer from it in Algeria. Therefore, early diagnosis is vital for the patient’s treatment. In this paper, to improve the precision of early diagnosis, MRI images are employed to extract hidden features using a variety of transfer learning strategies on convolutional neural network models w
