標題: Titlebook: Machine Learning for Cyber Security; 4th International Co Yuan Xu,Hongyang Yan,Jin Li Conference proceedings 2023 The Editor(s) (if applica [打印本頁] 作者: Taylor 時間: 2025-3-21 17:39
書目名稱Machine Learning for Cyber Security影響因子(影響力)
書目名稱Machine Learning for Cyber Security影響因子(影響力)學(xué)科排名
書目名稱Machine Learning for Cyber Security網(wǎng)絡(luò)公開度
書目名稱Machine Learning for Cyber Security網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Machine Learning for Cyber Security被引頻次
書目名稱Machine Learning for Cyber Security被引頻次學(xué)科排名
書目名稱Machine Learning for Cyber Security年度引用
書目名稱Machine Learning for Cyber Security年度引用學(xué)科排名
書目名稱Machine Learning for Cyber Security讀者反饋
書目名稱Machine Learning for Cyber Security讀者反饋學(xué)科排名
作者: engrave 時間: 2025-3-21 20:56 作者: Interim 時間: 2025-3-22 02:16 作者: 全等 時間: 2025-3-22 08:00
Deep Spatio-Temporal Decision Fusion Network for Facial Expression Recognition,ct the shallow spatial features of peak expression frame, and the channel weights of spatial features is assigned by squeeze-and-excitation module to attain the weighted spatial features. This allows valid spatial features to be purposefully retained to avoid overfitting. Finally, temporal features 作者: Foolproof 時間: 2025-3-22 09:53
A Robot Foreign Object Inspection Algorithm for Transmission Line Based on Improved YOLOv5,he YOLOv5 lightweight model proposed in this paper reduces the power consumption of the platform and improves the model detection speed and accuracy. It is more conducive to the deployment of the target detection model in the mobile terminal.作者: GEST 時間: 2025-3-22 13:43 作者: Nutrient 時間: 2025-3-22 20:53
Research on LSTM Based Traffic Flow Prediction Adaptive Beacon Transmission Period and Power Joint d the LSTM network is used to predict the traffic flow. Then, the combined control algorithm of the adaptive beacon transmission period and transmission power is realized through the predicted parameters. Experimental simulation and analysis show that this algorithm can significantly reduce the dist作者: 死亡 時間: 2025-3-22 23:25
e Feen Pate gestanden sind. Ich erkannte, da? der einstige Lückenbü?er bei liebevoller Behandlung zu einem recht wertvollen Glied in der Gesellschaft seiner literarischen Brüder werden k?nnte und bemühte mich, ihn so rasch als m?glich gesellschaftsf?hig zu machen. Auch der Springer-Verlag zeigte in dankenswer978-3-7091-3465-8978-3-7091-3464-1作者: Harpoon 時間: 2025-3-23 05:00 作者: choroid 時間: 2025-3-23 07:49 作者: Commonwealth 時間: 2025-3-23 10:56 作者: STYX 時間: 2025-3-23 16:21 作者: adequate-intake 時間: 2025-3-23 21:53
Junling Gao,Moran Zhao,Jianchao Wang,Yijin Zhao,Lifang Ma,Pingping Yu作者: ATP861 時間: 2025-3-24 00:01 作者: Myofibrils 時間: 2025-3-24 03:09
Xuanchi Chen,Heng Yang,Xia Zhang,Xiangwei Zheng,Wei Li作者: OPINE 時間: 2025-3-24 09:51
Tianwei Zhou,Yichen Lai,Xiaojie Huang,Xumin Chen,Huifen Zhong作者: 使害怕 時間: 2025-3-24 14:41
Zhenzhou Wang,Xiaoyue Xie,Xiang Wang,Yijin Zhao,Lifang Ma,Pingping Yu作者: 保留 時間: 2025-3-24 17:52 作者: 鬼魂 時間: 2025-3-24 21:22 作者: radiograph 時間: 2025-3-25 00:16
Danyang Yao,Jinyu Wen,Amei Chen,Meie Fang,Xinhua Wei,Zhigeng Pan作者: Monolithic 時間: 2025-3-25 07:15
Botao Tu,Guanxiang Yin,Guoqing Zhong,Nan Jiang,Yuejin Zhang作者: 收到 時間: 2025-3-25 10:41
Machine Learning Based Abnormal Flow Analysis of University Course Teaching Network,valuation and unknown traffic detection, the network traffic analysis steps are designed to analyze the abnormal situation of teaching network traffic. The experimental results show that the highest F1 score is 98%, and the accuracy of the analysis results is high, which provides sufficient network traffic for college course teaching. 作者: 開頭 時間: 2025-3-25 15:44
,A Learned Multi-objective Bacterial Foraging Optimization Algorithm with?Continuous Deep Q-Learningadaptive parameter control. To verify the feasibility of LMBFO, it is trained and tested on classical multi-objective benchmark functions. Moreover, MBFO is utilized as the comparison to illustrate the superiority of our proposed MLBFO.作者: debris 時間: 2025-3-25 18:34
A Tabu-Based Multi-objective Particle Swarm Optimization for Irregular Flight Recovery Problem,le swarm optimization introducing the idea of tabu search. Thirdly, we devised an encoding scheme focusing on the characteristic of the problem. Finally, we verified the superiority of the tabu-based multi-objective particle swarm optimization through the comparison against MOPSO by the experiment based on real-world data.作者: insert 時間: 2025-3-25 22:34 作者: spondylosis 時間: 2025-3-26 01:12 作者: gastritis 時間: 2025-3-26 08:15 作者: GIDDY 時間: 2025-3-26 11:41
Human Resource Network Information Recommendation Method Based on Machine Learning,combined with hybrid genetic algorithm. The experimental results show that the highest recommendation accuracy of this method reaches 94%, and the highest recall rate is 0.90, which indicates that the application of research methods to recommend human resources network information has a good effect.作者: 宣傳 時間: 2025-3-26 16:23 作者: Coterminous 時間: 2025-3-26 17:39 作者: Working-Memory 時間: 2025-3-26 23:38
Local Feature Acquisition Method of Multi-layer Vision Network Image Based on Virtual Reality,lgorithm, the average running time of the researched method is shorter and the overlap error is smaller, which indicates that the researched method has lower time complexity and higher acquisition accuracy.作者: blight 時間: 2025-3-27 03:30
Channel Selection for EEG Emotion Recognition via an Enhanced Firefly Algorithm with Brightness-Disoding method of fireflies to distinguish the importance of channels and bands respectively. We conduct comparative experiments to evaluate the performance of EFA on DEAP database. The experimental results confirm the superiority of the proposed method in AUC score.作者: chandel 時間: 2025-3-27 08:33 作者: Acetaldehyde 時間: 2025-3-27 10:58 作者: Coronary 時間: 2025-3-27 14:42
0302-9743 ine Learning for Cyber Security, ML4CS 2022, which taking place during December 2–4, 2022, held in Guangzhou, China..The 100 full papers and 46 short papers were included in these proceedings were carefully reviewed and selected from 367 submissions..978-3-031-20101-1978-3-031-20102-8Series ISSN 030作者: 原諒 時間: 2025-3-27 19:57 作者: 左右連貫 時間: 2025-3-28 00:32 作者: 用不完 時間: 2025-3-28 03:38
Xiao Wangollauf mit der Wiederschaffung eines ertr?glichen Lebensunterhaltes und der Abwehr konjunkturgebundener Zu- griffe ausgefüllt war, erm?glichten keine umfangreichere wissen- schaftliche Arbeit. Ein nicht rasten und rosten wollender Geist konnte sich aber mit dieser Feststellung nicht zufrieden geben 作者: neoplasm 時間: 2025-3-28 09:32
Shaobao Xu,Yongqi Jiaollauf mit der Wiederschaffung eines ertr?glichen Lebensunterhaltes und der Abwehr konjunkturgebundener Zu- griffe ausgefüllt war, erm?glichten keine umfangreichere wissen- schaftliche Arbeit. Ein nicht rasten und rosten wollender Geist konnte sich aber mit dieser Feststellung nicht zufrieden geben 作者: 否決 時間: 2025-3-28 12:03
Tianwei Zhou,Wenwen Zhang,Pengcheng He,Guanghui Yue der Wiederschaffung eines ertr?glichen Lebensunterhaltes und der Abwehr konjunkturgebundener Zu- griffe ausgefüllt war, erm?glichten keine umfangreichere wissen- schaftliche Arbeit. Ein nicht rasten und rosten wollender Geist konnte sich aber mit dieser Feststellung nicht zufrieden geben und so ent作者: 哄騙 時間: 2025-3-28 14:53 作者: cortisol 時間: 2025-3-28 18:58 作者: 手段 時間: 2025-3-29 01:38 作者: 付出 時間: 2025-3-29 06:40
,A Learned Multi-objective Bacterial Foraging Optimization Algorithm with?Continuous Deep Q-Learningever, both nested loop and the swimming step length setting are crucial to capability improvement for the specific problem. To deal with these two problems, this paper proposes learned multi-objective bacterial foraging optimization algorithm (LMBFO) which transforms nested loop between operations i作者: gimmick 時間: 2025-3-29 07:24 作者: FADE 時間: 2025-3-29 15:06 作者: 逃避責任 時間: 2025-3-29 16:16 作者: Inoperable 時間: 2025-3-29 20:34
Optimization of Data Transmission Efficiency of Wireless Communication Network for Chemical Energy g in low data transmission efficiency. In order to reduce the data transmission delay and packet loss rate of wireless communication network and improve the data transmission efficiency, an optimization method of data transmission efficiency of wireless communication network for chemical energy moni作者: 驕傲 時間: 2025-3-30 00:29 作者: 運動吧 時間: 2025-3-30 07:15
A Tabu-Based Multi-objective Particle Swarm Optimization for Irregular Flight Recovery Problem,ad weather and current COVID-19 epidemic, where irregular flights may occur. Confronted with the negative impact caused by irregular flight, it is vital to rearrange the preceding schedule to reduce the cost. To solve this problem, first, we established a multi-objective model considering cost and c作者: 我要沮喪 時間: 2025-3-30 11:19 作者: 燒瓶 時間: 2025-3-30 13:30
Path Planning Algorithm Based on A_star Algorithm and Q-Learning Algorithm,search, the path planning problem has greater research and application value. Based on machine learning, the mobile robot is continuously tried and trained in the simulation environment to eventually achieve the optimal path planning requirements for real-time obstacle avoidance, resulting in a new 作者: resistant 時間: 2025-3-30 16:38 作者: obtuse 時間: 2025-3-30 21:59
Local Feature Acquisition Method of Multi-layer Vision Network Image Based on Virtual Reality,various changes such as noise, illumination, scale, and rotation. Faced with this situation, this paper proposes a method for local feature acquisition of multi-layer visual network images based on virtual reality. Based on virtual reality technology, the multi-layer visual network image is reconstr作者: Vulnerary 時間: 2025-3-31 04:56
Channel Selection for EEG Emotion Recognition via an Enhanced Firefly Algorithm with Brightness-Dise and other fields. EEG signal contains a large number of meaningful and extractable features. Therefore, effective feature selection plays an essential role in reducing feature dimensions and avoiding redundancy. In order to select the emotion related features from hundreds of features and achieve 作者: 說笑 時間: 2025-3-31 05:42 作者: wall-stress 時間: 2025-3-31 11:28
,Trimodal Fusion Network Combined Global-Local Feature Extraction Strategy and?Spatial-Frequency Fustions, and lesions. Most of the existing methods focus on the fusion of two modalities, and in fact, it is very common for the disease that requires the fusion of trimodal to assist diagnosis. This paper proposes a high-precision trimodal medical image fusion network. According to the information ch作者: Carminative 時間: 2025-3-31 15:32 作者: Acetaldehyde 時間: 2025-3-31 19:20 作者: 匍匐前進 時間: 2025-4-1 01:07 作者: semiskilled 時間: 2025-4-1 02:07
978-3-031-20101-1The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: BARB 時間: 2025-4-1 07:04
Machine Learning for Cyber Security978-3-031-20102-8Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 山崩 時間: 2025-4-1 13:51 作者: Gene408 時間: 2025-4-1 15:18
Conference proceedings 2023ng for Cyber Security, ML4CS 2022, which taking place during December 2–4, 2022, held in Guangzhou, China..The 100 full papers and 46 short papers were included in these proceedings were carefully reviewed and selected from 367 submissions..
