標(biāo)題: Titlebook: Neural Computing for Advanced Applications; Third International Haijun Zhang,Yuehui Chen,Yimin Yang Conference proceedings 2022 The Editor [打印本頁(yè)] 作者: 可入到 時(shí)間: 2025-3-21 17:32
書(shū)目名稱(chēng)Neural Computing for Advanced Applications影響因子(影響力)
書(shū)目名稱(chēng)Neural Computing for Advanced Applications影響因子(影響力)學(xué)科排名
書(shū)目名稱(chēng)Neural Computing for Advanced Applications網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱(chēng)Neural Computing for Advanced Applications網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱(chēng)Neural Computing for Advanced Applications被引頻次
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書(shū)目名稱(chēng)Neural Computing for Advanced Applications讀者反饋
書(shū)目名稱(chēng)Neural Computing for Advanced Applications讀者反饋學(xué)科排名
作者: 繁重 時(shí)間: 2025-3-21 21:53
Neural Computing for Advanced Applications978-981-19-6135-9Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: scoliosis 時(shí)間: 2025-3-22 01:12 作者: 辮子帶來(lái)幫助 時(shí)間: 2025-3-22 07:56
https://doi.org/10.1007/978-981-19-6135-9artificial intelligence; communication systems; computer security; computer vision; data mining; deep lea作者: 人類(lèi)學(xué)家 時(shí)間: 2025-3-22 09:53 作者: Aggregate 時(shí)間: 2025-3-22 16:58
Changwei Gong,Changhong Jing,Yanyan Shen,Shuqiang Wang relevant CoBRA processes is presented.The methodological co.Software effort estimation is a key element of software project planning and management. Yet, in industrial practice, the important role of effort estimation is often underestimated and/or misunderstood..In this book, Adam Trendowicz prese作者: Cpr951 時(shí)間: 2025-3-22 18:22
Zhiwei Kong,Rao Fu,Jiachuan Shi,Wenbin Cia arises as a paradigm oriented to design models, methods, tasks and algorithms for discovering data from educational domain. It attempts to uncover data patterns, structure association rules, establish information of unseen relationships with educational data and many more operations that cannot be作者: 人工制品 時(shí)間: 2025-3-22 22:57
Bo Ling,Xiang Liu,Jin Jiang,Weiwei Wu,Wanyuan Wang,Yan Lyu,Xueyong Xurious problems and challenges currently facing eLearning fro.This book presents original research on analytics and context awareness with regard to providing sophisticated learning services for all stakeholders in the eLearning context. It offers essential information on the definition, modeling, de作者: 褲子 時(shí)間: 2025-3-23 05:26 作者: Gastric 時(shí)間: 2025-3-23 07:01 作者: cipher 時(shí)間: 2025-3-23 11:49 作者: contrast-medium 時(shí)間: 2025-3-23 17:08 作者: Guileless 時(shí)間: 2025-3-23 19:33 作者: contrast-medium 時(shí)間: 2025-3-24 02:07 作者: 正面 時(shí)間: 2025-3-24 02:33
Qiuqin Huang,Jiangshuai Huang,Xingyue Sheng,Xiaowen Yuedustry, social networking websites, etc. This surge in the rate of workload traffic can influence the congestion problems, resulting into breakage of various services committed to the end user. To avoid this situation, Cloud, Edge computing approaches are used to handle the workload in an efficient 作者: Keratectomy 時(shí)間: 2025-3-24 08:06
Shuai Wang,Hui Wang,Zichen Wei,Jiali Wu,Jiawen Liu,Hai Zhangon and maintenance. Based on this cycle, a huge network architecture has now been formed, which has played an important role in promoting economic and social development. However, with the vigorous rise of technologies such as big data, cloud computing, Internet of Things, and mobile Internet, Inter作者: Vldl379 時(shí)間: 2025-3-24 11:46 作者: Commonplace 時(shí)間: 2025-3-24 16:13
Yuanyuan Chen,Wanli Xue,Shengyong Chenon and maintenance. Based on this cycle, a huge network architecture has now been formed, which has played an important role in promoting economic and social development. However, with the vigorous rise of technologies such as big data, cloud computing, Internet of Things, and mobile Internet, Inter作者: GOAD 時(shí)間: 2025-3-24 20:18 作者: Fraudulent 時(shí)間: 2025-3-25 03:12 作者: Negotiate 時(shí)間: 2025-3-25 05:11 作者: ANA 時(shí)間: 2025-3-25 07:48 作者: 從屬 時(shí)間: 2025-3-25 13:08
Yi Jiang,Weizhen Han,Luyao Ye,Yang Lu,Bingyi Liutwork, every node ingests some part of energy with relaying of the remaining energy over that network. The suggested work is also directed toward elongating the life of the ad hoc wireless sensor network (WSN) achieved by increasing the energy efficiency for interactive communication in a network ma作者: obviate 時(shí)間: 2025-3-25 18:18 作者: 有節(jié)制 時(shí)間: 2025-3-25 23:45 作者: 兇猛 時(shí)間: 2025-3-26 02:29 作者: Agility 時(shí)間: 2025-3-26 06:39 作者: exophthalmos 時(shí)間: 2025-3-26 11:45 作者: 違反 時(shí)間: 2025-3-26 12:53
Research and Simulation of Fuzzy Adaptive PID Control for Upper Limb Exoskeleton Robot, exoskeleton rehabilitation robot was designed based on the principle of human biology, and a fuzzy adaptive PID control method strategy based on the joint position was proposed for the problems such as the robot slave arm precisely following the motion trajectory of the master arm; secondly, the ki作者: 刪減 時(shí)間: 2025-3-26 17:48
Short-Term Wind Power Prediction Based on Convolutional Neural Network-Bidirectional Long Short-TerNN) and Bidirectional Long-Short Term Memory (BiLSTM) models is proposed. Use CNN sequence feature extraction capabilities to extract effective information, retain longer effective memory information to solve the gradient dispersion problem, and make up for the instability and gradient disappearance作者: commensurate 時(shí)間: 2025-3-26 23:32 作者: Gesture 時(shí)間: 2025-3-27 03:58
and ,rged environment location, BPNN is included on the premise of this controller to design Detect type AUV based on BPNN and PID control. Firstly, online parameter setting is realized through BPNN’s automatic learning characteristic, which overcomes the complex and unsteady issue of conventional PID co作者: STELL 時(shí)間: 2025-3-27 08:08 作者: Metamorphosis 時(shí)間: 2025-3-27 11:29
,A Perception Method Based on?Point Cloud Processing in?Autonomous Driving,ngs autonomously. At present, the most commonly used sensors in the field of driverless cars are RGB-D camera and LIDAR. Therefore, how to process the environmental information collected by these sensors, and extract the features we are interested in, and then use them to guide the driving of unmann作者: Certainty 時(shí)間: 2025-3-27 16:54 作者: ABASH 時(shí)間: 2025-3-27 19:05 作者: Ebct207 時(shí)間: 2025-3-28 01:59 作者: palliative-care 時(shí)間: 2025-3-28 02:21
,Traffic Congestion Event Mining Based on?Trajectory Data,plied to trajectory data. TCE can be defined in terms of time, location, average speed, and degree of congestion. Then methods are designed to extract TCE from massive trajectory data. Specifically, an efficient method is developed that combines NumPy’s customized universal function to calculate the作者: 規(guī)范就好 時(shí)間: 2025-3-28 06:23
,Many-Objective Evolutionary Algorithm Based on?Dominance and?Objective Space Decomposition,re than four. The complexity of MOPs grows rapidly in size with the number of objectives, making the problem quickly intractable. Though various many-objective evolutionary algorithms (MaOEAs) have been proposed to solve MaOPs, it is difficult to balance the convergence and population diversity. In 作者: 新星 時(shí)間: 2025-3-28 14:14
,A New Unified Control Approach for?Finite-/Fixed-Time Synchronisation of?Multi-weighted Dynamical Nl networks (MWDNs). Firstly, a new unified FTT/FXT stability results is assessed for nonlinear dynamical systems, wherein a more accurate approximation of the settling time is acquired. Secondly, a novel feedback controller is designed for a class of MWDNs and a unified sufficient condition is obtai作者: 較早 時(shí)間: 2025-3-28 18:13
,Aperiodic Sampling Based Event-Triggering for?Synchronization of?Nonlinear Systems, according to certain state-dependent triggering condition. Some sufficient criteria for reaching synchronization are established with the aid of an extended Hanalay’s inequality, and the largest admissible sampling period is also estimated. The study is also extended to some typical issues with eit作者: IDEAS 時(shí)間: 2025-3-28 20:38
,Two-Stream 3D MobileNetV3 for?Pedestrians Intent Prediction Based on?Monocular Camera,pport vision-related safety applications in Intelligent Transportation System (ITS). Pedestrians intent prediction is critical in improving the efficiency and safety of autonomous driving since complex traffic scenarios are ubiquitous, specifically facing pedestrian intrusion and other emergencies. 作者: MURKY 時(shí)間: 2025-3-29 02:02 作者: 蘆筍 時(shí)間: 2025-3-29 03:03 作者: 高腳酒杯 時(shí)間: 2025-3-29 07:44 作者: 兩棲動(dòng)物 時(shí)間: 2025-3-29 13:00
Shiwei Yu,Shouyin Lu,Zhe Jiang,Zhipeng Li,Qiang Zhang作者: 2否定 時(shí)間: 2025-3-29 16:52 作者: 浮雕 時(shí)間: 2025-3-29 20:40
A Dual-Size Convolutional Kernel CNN-Based Approach to EEG Signal Classification,more comprehensively. Experimental testing of the method using the publicly available dataset BCI2008IV-2a competition number competition dataset shows that the algorithm can effectively identify EEG signals with high classification accuracy and good robustness.作者: 偶然 時(shí)間: 2025-3-30 00:12 作者: Malleable 時(shí)間: 2025-3-30 06:09
A Multi-channel Fusion Method Based on Tensor for Rolling Bearing Fault Diagnosis,approximation method based on CP decomposition to obtain the multi-domain tensor characteristics of multi-channel rolling bearing. Finally, the multi-domain tensor feature is input into the support tensor machine for bearing fault diagnosis. The example of bearing fault diagnosis shows that the mult作者: NEG 時(shí)間: 2025-3-30 10:10
,A Perception Method Based on?Point Cloud Processing in?Autonomous Driving,t cloud data and enhancing point cloud with images. KITTI dataset is the most classic and representative dataset in the field of autonomous driving. In the experiment, KITTI dataset is used to verify that this method can get good perception effect. In addition, we use the bird’s-eye view benchmark o作者: 不整齊 時(shí)間: 2025-3-30 13:34 作者: 惡心 時(shí)間: 2025-3-30 20:09
,Two-Stream 3D MobileNetV3 for?Pedestrians Intent Prediction Based on?Monocular Camera, pedestrian’s skeleton features as the network’s input. With the benefit of 3D depthwise separable convolution, our network’s Multiply-Accumulate Operations (MACs) is one-fifth of the baseline model. Finally, we conduct experiments on real traffic datasets to verify our proposed method’s effectivene作者: inculpate 時(shí)間: 2025-3-31 00:42
Conference proceedings 2022ations in management sciences, computer vision, image processing, and theirindustrial applications, natural language processing, machine translation, knowledge graphs, and their applications, Neural computing-based fault diagnosis, fault forecasting, prognostic management, and system modeling, and S作者: 搜集 時(shí)間: 2025-3-31 04:04
Bo Ling,Xiang Liu,Jin Jiang,Weiwei Wu,Wanyuan Wang,Yan Lyu,Xueyong Xuents are capable of gathering and storing massive amounts of data in various formats, of tracking user-system and user-user interactions, and of delivering rich contextual information..978-3-319-68317-1978-3-319-68318-8Series ISSN 2367-4512 Series E-ISSN 2367-4520 作者: 小木槌 時(shí)間: 2025-3-31 06:57 作者: 溝通 時(shí)間: 2025-3-31 09:23 作者: Lacunar-Stroke 時(shí)間: 2025-3-31 15:09 作者: 缺陷 時(shí)間: 2025-3-31 19:26 作者: 眨眼 時(shí)間: 2025-3-31 22:15 作者: Engaging 時(shí)間: 2025-4-1 03:35
Tengguang Kong,Huanbing Gao,Shoufeng Yao,Xiuxian Chentted from one location to another location, network traffic can be a challenging issue, which further can create bottleneck in the network. Software-Defined Networking (SDN) is the platform by using which the network can be controlled centrally in an efficient manner. The resources are limited in ed作者: candle 時(shí)間: 2025-4-1 07:45
Huiming Jiang,Song Li,Yunfei Shao,An Xu,Jing Yuan,Qian Zhaoitecture. In order to meet a specific application requirement, it usually needs to include a large number of hardware devices. However, a noteworthy problem is that network devices produced by different manufacturers usually require different ways to debug and configure. Therefore, in a network that作者: 破裂 時(shí)間: 2025-4-1 10:30
Qiuqin Huang,Jiangshuai Huang,Xingyue Sheng,Xiaowen Yuetted from one location to another location, network traffic can be a challenging issue, which further can create bottleneck in the network. Software-Defined Networking (SDN) is the platform by using which the network can be controlled centrally in an efficient manner. The resources are limited in ed作者: Agility 時(shí)間: 2025-4-1 18:19 作者: 克制 時(shí)間: 2025-4-1 21:57
Xuhui Wang,Xin Deng,Hao Zhang,Kai Liu,Penglin Daiivacy issues. In this chapter we provide a summarized analysis about the shortcomings in Internet of Things and the key reasons that have led to the emergence of Internet of Everything. Some of the key challenges that need to be overcome to ensure widespread acceptability of IoE are also analyzed.作者: 公理 時(shí)間: 2025-4-2 01:04
Yuanyuan Chen,Wanli Xue,Shengyong Chenitecture. In order to meet a specific application requirement, it usually needs to include a large number of hardware devices. However, a noteworthy problem is that network devices produced by different manufacturers usually require different ways to debug and configure. Therefore, in a network that
