標(biāo)題: Titlebook: Exploration of Novel Intelligent Optimization Algorithms; 12th International S Kangshun Li,Yong Liu,Wenxiang Wang Conference proceedings 20 [打印本頁(yè)] 作者: BROOD 時(shí)間: 2025-3-21 16:37
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書(shū)目名稱(chēng)Exploration of Novel Intelligent Optimization Algorithms網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
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書(shū)目名稱(chēng)Exploration of Novel Intelligent Optimization Algorithms讀者反饋
書(shū)目名稱(chēng)Exploration of Novel Intelligent Optimization Algorithms讀者反饋學(xué)科排名
作者: 法律的瑕疵 時(shí)間: 2025-3-21 20:23 作者: maverick 時(shí)間: 2025-3-22 02:45 作者: entitle 時(shí)間: 2025-3-22 06:40 作者: 鴿子 時(shí)間: 2025-3-22 10:37 作者: Mingle 時(shí)間: 2025-3-22 14:12
A Many-Objective Anomaly Detection Model for Vehicle Network Based on Federated Learning and Differeion and authentication mechanism, the vehicle network is vulnerable to malicious attacks and intrusion, which poses a threat to the driver’s life safety and data privacy. To solve this problem, this paper proposes a method combining federal learning and differential privacy protection to protect the作者: Mingle 時(shí)間: 2025-3-22 18:11 作者: Intersect 時(shí)間: 2025-3-23 00:05 作者: 圖表證明 時(shí)間: 2025-3-23 02:20 作者: critique 時(shí)間: 2025-3-23 07:38
The Combination of?GRU and?Dense Block for?Image Denoising Network) and Dense block. The GRU contacts the previous state through the current state, which can more effectively extract noise features from the picture. The Dense block can effectively improve the feature propagation efficiency, reduce the problem of vanishing gradient, and optimize the process of feat作者: browbeat 時(shí)間: 2025-3-23 13:22
Construction Methods of Dujiangyan Tourism Culture Image Based on Text Information Mining Technologyinent. Dujiangyan is famous for its large historical span, large engineering scale, high technological content, wide irrigation area, and large socio-economic benefits both at home and abroad, and has an extremely important status and role in politics, economy, and culture, and is a model of the wor作者: Stricture 時(shí)間: 2025-3-23 16:10
Research on Self-driving Lane and Traffic Marker Recognition Based on Deep Learning processing. In the face of problems that cannot be solved by traditional methods or are not effective, deep learning can achieve more desirable results through its powerful feature learning and mastering the laws of the problem. The lane recognition based on a convolutional neural network is propos作者: OFF 時(shí)間: 2025-3-23 18:46
Measurement System for?Energy Consumption of?Runtime Software in?Embedded Systemtion of software in embedded system. Some existing methods can provide the functions that measuring the currents of different regions by using different ranges through adjusting shunt resistor or amplification. However, these methods are hard to give the value of current accurately during range swit作者: 粗魯?shù)娜?nbsp; 時(shí)間: 2025-3-23 23:02
Experiment Analysis on Fast Features Bag Approach for Pedestrian Re-recognitionr defines the important practical significance to improve the intelligent monitoring system. The feature representation and feature matching are two challenging factors in pedestrian re-recognition. In this paper, we improved the traditional bag of features algorithm due to its shortcomings, such as作者: Anguish 時(shí)間: 2025-3-24 05:14
Contrast Retention De-coloring Based on Cosine Similarity3-dimensional matrix is represented by a 1-dimensional matrix, and there will inevitably be information loss, which makes it very important to maintain the detail contrast information of the original color image to the maximum extent. In this regard, this paper proposes a two-way contrast retention 作者: LUMEN 時(shí)間: 2025-3-24 07:03 作者: preservative 時(shí)間: 2025-3-24 14:20 作者: Asseverate 時(shí)間: 2025-3-24 18:06
Conference proceedings 2022ws: new frontier of multi-objective evolutionary algorithms; intelligent multi-media; data modeling and application of artificial intelligence; exploration of novel intelligent optimization algorithm; and intelligent application of industrial production..作者: EXPEL 時(shí)間: 2025-3-24 23:03
1865-0929 s as follows: new frontier of multi-objective evolutionary algorithms; intelligent multi-media; data modeling and application of artificial intelligence; exploration of novel intelligent optimization algorithm; and intelligent application of industrial production..978-981-19-4108-5978-981-19-4109-2Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: Genome 時(shí)間: 2025-3-25 02:01
Hate Speech in den Massenmediensing inertia weight and a contraction factor are used to enhance the PSO. The experimental results show that the improved PSO has faster convergence speed, and can effectively improve the signal coverage of the sensor network.作者: fluffy 時(shí)間: 2025-3-25 04:34 作者: 簡(jiǎn)潔 時(shí)間: 2025-3-25 10:27 作者: overwrought 時(shí)間: 2025-3-25 12:00
https://doi.org/10.1057/9780230246744re not tampering. This paper, firstly introduces the basic principles and applications of blockchain, such as hash function, hash pointer, digital signature. and then implements a blockchain-based trusted log storage and verification system in MES system.作者: irradicable 時(shí)間: 2025-3-25 17:46
Improved Particle Swarm Algorithm and Its Application in Sensor Network Optimizationsing inertia weight and a contraction factor are used to enhance the PSO. The experimental results show that the improved PSO has faster convergence speed, and can effectively improve the signal coverage of the sensor network.作者: Diuretic 時(shí)間: 2025-3-25 20:45 作者: 大方不好 時(shí)間: 2025-3-26 01:12
Manifold Learning Algorithm Based on Constrained Particle Swarm Multi-objective Optimization composed of multi-information objectives and multi-user requirements (constraints), and the design is based on the Lebesgue measure constraint processing technology particle swarm Manifold learning algorithm of multi-objective optimization algorithm to improve the calculation accuracy of popular learning algorithms.作者: AXIOM 時(shí)間: 2025-3-26 07:43
The Use of Trusted Log Storage and Verification System Based on Blockchain for Manufacturing Executire not tampering. This paper, firstly introduces the basic principles and applications of blockchain, such as hash function, hash pointer, digital signature. and then implements a blockchain-based trusted log storage and verification system in MES system.作者: 生存環(huán)境 時(shí)間: 2025-3-26 10:47
Haunting and Nature: An Introduction, dataset of melanoma segmentation show that the proposed method obtains a series of network architectures with different sizes, and the obtained architectures achieve obvious improvements in term of both model sizes and prediction accuracies compared with several popular and manually designed variants of U-Net.作者: Flatter 時(shí)間: 2025-3-26 14:41 作者: 充足 時(shí)間: 2025-3-26 18:08
https://doi.org/10.1007/978-3-319-98089-8tion with less loss and communication cost. The model is solved by many-objective evolutionary algorithm, and some solutions are selected as training parameters, and satisfactory results are obtained. The effectiveness of the proposed method is verified.作者: 輕浮女 時(shí)間: 2025-3-26 22:28
Hauptfragen der Reichsbahnpolitiksmall contrast in the original color image respectively, so that the total model can play a two-way contrast retention effect. In addition, the model is solved using a parameter discrete search strategy to improve the real-time performance of the algorithm.作者: 切掉 時(shí)間: 2025-3-27 02:58
Multi-objective Evolutionary Architecture Search of U-Net with Diamond Atrous Convolution dataset of melanoma segmentation show that the proposed method obtains a series of network architectures with different sizes, and the obtained architectures achieve obvious improvements in term of both model sizes and prediction accuracies compared with several popular and manually designed variants of U-Net.作者: Introvert 時(shí)間: 2025-3-27 09:09 作者: 傲慢人 時(shí)間: 2025-3-27 11:50 作者: 單調(diào)女 時(shí)間: 2025-3-27 14:02 作者: Enzyme 時(shí)間: 2025-3-27 18:01 作者: miniature 時(shí)間: 2025-3-27 23:17 作者: Between 時(shí)間: 2025-3-28 03:02 作者: 一條卷發(fā) 時(shí)間: 2025-3-28 07:57 作者: Diverticulitis 時(shí)間: 2025-3-28 14:00
Hauptprobleme der Bodenmechanik of TensorFlow platform to train the garbage sorting model to realize garbage image recognition. The WeChat Mini program also provides a variety of garbage search methods such as photo, voice and text, which is convenient for users to use, to improve residents’ awareness of garbage sorting and promote global ecological environment governance.作者: 消滅 時(shí)間: 2025-3-28 18:37
The Combination of?GRU and?Dense Block for?Image Denoising Networktasets demonstrate that the proposed model outperforms the state of the art methods under all different noise levels in terms of PNSR, and the visual effects achieved by the proposed model are also better than the competing methods.作者: 削減 時(shí)間: 2025-3-28 20:38
Construction Methods of Dujiangyan Tourism Culture Image Based on Text Information Mining Technologyf great significance. This paper aims to study the way of constructing the tourism cultural image of Dujiangyan based on Text Information Mining (TIM) technology and questionnaire survey. Finally, some suggestions are purposed for the promotion of Dujiangyan’s tourism and cultural image in the era of We-Media.作者: crucial 時(shí)間: 2025-3-29 02:29
Research on Self-driving Lane and Traffic Marker Recognition Based on Deep Learningffic marker recognition model based on YOLO5, by collecting data and completing model training, finally achieves the average lane crush of the self-driving car less than 1 time, and the traffic marker recognition rate reaches 98.5%.作者: homeostasis 時(shí)間: 2025-3-29 04:24
Design and Implementation of Intelligent Garbage Sorting System Based on TensorFlow of TensorFlow platform to train the garbage sorting model to realize garbage image recognition. The WeChat Mini program also provides a variety of garbage search methods such as photo, voice and text, which is convenient for users to use, to improve residents’ awareness of garbage sorting and promote global ecological environment governance.作者: COLON 時(shí)間: 2025-3-29 10:12 作者: 有惡意 時(shí)間: 2025-3-29 12:17 作者: preeclampsia 時(shí)間: 2025-3-29 18:01 作者: 完成才能戰(zhàn)勝 時(shí)間: 2025-3-29 22:59 作者: Meager 時(shí)間: 2025-3-30 01:00
Experiment Analysis on Fast Features Bag Approach for Pedestrian Re-recognitionorithm, which improves the matching accuracy in the few samples cases. Then, we used the LIBSVM classifier based on the FFB algorithm to improve the efficiency of the pedestrian re-recognition algorithm. By contrast with the CMC curve, we compared the proposed method with traditional mainstream algo作者: ethereal 時(shí)間: 2025-3-30 07:13 作者: 昏迷狀態(tài) 時(shí)間: 2025-3-30 09:08 作者: 羊欄 時(shí)間: 2025-3-30 13:18 作者: Triglyceride 時(shí)間: 2025-3-30 17:16 作者: Inertia 時(shí)間: 2025-3-31 00:10
Hate Speech in den Massenmediencal location and other environmental factors, and the problem of low network coverage caused by the random deployment of sensor nodes, resulting in waste of resources. To improve network coverage. In this paper, an improved particle swarm optimization PSO (IPSO) is proposed, in which a linear decrea作者: 箴言 時(shí)間: 2025-3-31 01:26
Psychoanalysis, Nazism and ‘Jewish Science’image segmentation, clustering is an unsupervised learning method. Most clustering algorithms results are highly dependent on the initial cluster center and it is important to optimize the segmentation process. In this paper, we used an improved conical area evolutionary algorithm named CAEA-II for 作者: 詼諧 時(shí)間: 2025-3-31 05:54
https://doi.org/10.1007/978-1-349-23038-9y-objective problems (MaOPs) of science and engineering. However, as the number of objectives increases gradually, the selection pressure of population towards true PF will reduce, resulting in high searching complexity and low solution quality. This literature proposes an efficient EMOA using high
