派博傳思國際中心

標題: Titlebook: Advances in Artificial Intelligence and Machine Learning in Big Data Processing; First International R. Geetha,Nhu-Ngoc Dao,Saeed Khalid C [打印本頁]

作者: graphic    時間: 2025-3-21 16:18
書目名稱Advances in Artificial Intelligence and Machine Learning in Big Data Processing影響因子(影響力)




書目名稱Advances in Artificial Intelligence and Machine Learning in Big Data Processing影響因子(影響力)學科排名




書目名稱Advances in Artificial Intelligence and Machine Learning in Big Data Processing網絡公開度




書目名稱Advances in Artificial Intelligence and Machine Learning in Big Data Processing網絡公開度學科排名




書目名稱Advances in Artificial Intelligence and Machine Learning in Big Data Processing被引頻次




書目名稱Advances in Artificial Intelligence and Machine Learning in Big Data Processing被引頻次學科排名




書目名稱Advances in Artificial Intelligence and Machine Learning in Big Data Processing年度引用




書目名稱Advances in Artificial Intelligence and Machine Learning in Big Data Processing年度引用學科排名




書目名稱Advances in Artificial Intelligence and Machine Learning in Big Data Processing讀者反饋




書目名稱Advances in Artificial Intelligence and Machine Learning in Big Data Processing讀者反饋學科排名





作者: 臨時抱佛腳    時間: 2025-3-21 22:37

作者: 導師    時間: 2025-3-22 01:24

作者: 樂意    時間: 2025-3-22 06:37
Communications in Computer and Information Sciencehttp://image.papertrans.cn/b/image/167210.jpg
作者: exquisite    時間: 2025-3-22 11:23
Grundlagen der Volkswirtschaftslehre, of reconstructive surgeries. Mixed Reality (MR) or Hybrid Reality (HR) is a technology that combines elements of Virtual and Augmented Reality (VR and AR). This research paper discusses the implementation of Virtual Reality and Augmented Reality (AR) in medicine, specifically virtual surgery techno
作者: 大約冬季    時間: 2025-3-22 16:46

作者: Indigence    時間: 2025-3-22 17:02

作者: 預兆好    時間: 2025-3-22 23:00
Konzeptionen der Wirtschaftspolitik,used for monitoring both public and private settings in recent years. The key to avoiding public safety hazards is now in spotting anomalous human behaviour on film, thanks to advances in video detection technologies. The ability to recognise anomalous human behaviour is crucial, especially in socia
作者: Peristalsis    時間: 2025-3-23 02:22

作者: 孵卵器    時間: 2025-3-23 08:01

作者: Chivalrous    時間: 2025-3-23 10:11

作者: 合唱團    時間: 2025-3-23 15:37
Grundlagen der Volkswirtschaftslehre,both cancerous and non-cancerous. Early diagnosis and accuracy of brain tumor helps the neurologists to initiate the treatment to their patients at early stages. To provide a detailed view and diagnosis of the brain tumor, MRI is commonly used. Deep learning is the process of teaching how the comput
作者: INCH    時間: 2025-3-23 18:17
Grundlagen der Volkswirtschaftslehre,a vital role in providing timely treatment and improving patient outcomes. Recently, machine learning & deep learning techniques have shown promise in PD detection using various types of medical data, including MRI scan brain images and audio samples. In this work, a novel method for early detection
作者: theta-waves    時間: 2025-3-24 01:52
https://doi.org/10.1007/978-3-540-74773-4nd sports were discussed in this article. Deep learning (DL) techniques have shown significant advancements over traditional machine learning (ML) approaches in terms of accuracy and resilience. The study explores various DL models including Convolutional Neural Networks (CNNs), Recurrent Neural Net
作者: Confound    時間: 2025-3-24 03:48
https://doi.org/10.1007/978-3-540-74773-4alculation can be time-consuming. We developed a technique that uses deep learning to predict a person’s BMI, age, and gender from facial images. Our system uses Multi-Task Cascaded Convolutional Neural Networks (MTCNN) to detect faces by cropping the face out of an input image and detecting facial
作者: Modify    時間: 2025-3-24 09:03

作者: 我說不重要    時間: 2025-3-24 13:39

作者: Hemodialysis    時間: 2025-3-24 18:28

作者: 淺灘    時間: 2025-3-24 22:35
Das Werden und Vergehen der Kristalle,hods often rely on field measurements and labour-intensive approaches, limiting their scalability and efficiency. In recent years, the emergence of deep learning algorithms has shown promising results in AGB estimation using remote sensing data. These algorithms analyse input data such as remote sen
作者: Insulin    時間: 2025-3-25 02:35

作者: 凝視    時間: 2025-3-25 04:24

作者: 蠟燭    時間: 2025-3-25 08:59

作者: Libido    時間: 2025-3-25 12:35

作者: 喚醒    時間: 2025-3-25 19:24

作者: FLAX    時間: 2025-3-25 23:31

作者: 取之不竭    時間: 2025-3-26 03:06

作者: Concerto    時間: 2025-3-26 06:51
Grundlagen der Wirtschaftspolitik other skin cancers and benign growths are among them. Since most pre-existing systems categorised cuts and burns as skin diseases, we expanded the dataset to include such photos. Deep Learning algorithms have reduced the requirement for human labour in areas like extracting the features and data restoration for categorization.
作者: 笨拙的你    時間: 2025-3-26 08:37
Enhancing Abnormal Object Detection in Camera-Based Systems Through Computer Vision and Deep Learniner vision and deep learning to accurately detect anomalous events in real time. By leveraging advanced algorithms, our solution offers improved precision in identifying and flagging unusual activities, thus enhancing overall security and enabling prompt response measures.
作者: 抑制    時間: 2025-3-26 16:22
Detection and Classification of Skin Disease Using CNN other skin cancers and benign growths are among them. Since most pre-existing systems categorised cuts and burns as skin diseases, we expanded the dataset to include such photos. Deep Learning algorithms have reduced the requirement for human labour in areas like extracting the features and data restoration for categorization.
作者: Lyme-disease    時間: 2025-3-26 17:48

作者: Figate    時間: 2025-3-26 21:10

作者: HERE    時間: 2025-3-27 05:05

作者: escalate    時間: 2025-3-27 05:56

作者: 完成才能戰(zhàn)勝    時間: 2025-3-27 11:48

作者: vasculitis    時間: 2025-3-27 17:09
Grundlagen der Volkswirtschaftslehre, is then analyzed and categorized using compound learning algorithms. The system’s effectiveness and superiority are assessed through a series of unique simulation experiments. This research not only addresses the shortcomings of current systems but also proposes innovative strategies for mental hea
作者: 倔強不能    時間: 2025-3-27 17:55

作者: 偽造者    時間: 2025-3-27 23:49
Konzeptionen der Wirtschaftspolitik,behaviour detection framework. In this project, we are detecting the human abnormal activity using tensorflow pose estimation model by estimating the location of key joints of the person. This model can estimate not only one person but also many persons in the videos. This method has better detectio
作者: 感情脆弱    時間: 2025-3-28 06:09
https://doi.org/10.1007/b138941sues and developing more precise and dependable systems would require further research. The primary objective of the system is to offer an improved solution for classroom attendance, ensuring the avoidance of false attendance records and significantly reducing the time required for attendance taking
作者: CHYME    時間: 2025-3-28 08:25

作者: 隱藏    時間: 2025-3-28 14:03
Grundlagen der Volkswirtschaftslehre,efficiently. In the given MRI image, if the brain image has no tumor, then it is defined as normal, otherwise, if a tumor is predicted, then it is further classified into the tumor types such as Glioma, Meningioma and Pituitary tumor. The model result shows better accuracy of 98% in detecting the tu
作者: Inflated    時間: 2025-3-28 18:38

作者: Invertebrate    時間: 2025-3-28 22:45
https://doi.org/10.1007/978-3-540-74773-4current challenges and future prospects in deep learning-driven research for HAR, including the need for improved interpretability, adaptability to novel activities and settings, and integration of multiple modalities to advance HAR. In summary, this review provides valuable insights into DL-driven
作者: chapel    時間: 2025-3-28 23:56
https://doi.org/10.1007/978-3-540-74773-4ghts, weights, and gender of the training images. After the image is passed into the network, it generates BMI, age, and gender predictions for the input image. This system uses an efficient face recognition mechanism to identify the age, gender, and BMI of a person using a multi-task BMI prediction
作者: 織物    時間: 2025-3-29 05:23
Grundlagen der Wirtschaftspolitikm benign files. In the presented PSODL-IC technique, the noise elimination stage employs Gaussian filtration (GF). In addition, the presented PSODL-IC method employs the Xception feature extractor in conjunction with a PSO-based hyperparameter optimizer. In this investigation, the auto encoder (AE)
作者: Infusion    時間: 2025-3-29 07:53
https://doi.org/10.1007/978-3-7091-3494-8s of 30K phishing URLs and 60K legitimate URLs, including login and index pages. The latest model we propose accomplishes 96.50% exactness on the introduced login URL dataset when Calculated Relapse matched with Term Recurrence - Backwards Record Recurrence (TF-IDF) include extraction.
作者: AMOR    時間: 2025-3-29 13:27

作者: Ergots    時間: 2025-3-29 18:30

作者: Rct393    時間: 2025-3-29 21:23

作者: 保守    時間: 2025-3-30 01:10

作者: Confound    時間: 2025-3-30 04:59

作者: 新字    時間: 2025-3-30 08:57

作者: 贊美者    時間: 2025-3-30 15:36
A Self-learning Ai-Based Information Leak Protection Systemocument pictures according to the existence of NPI and PII semantic signatures. This system is made to be actively utilized as a tag SD pictures when they are storing data alarm systems. It may also serve as a real-time checkpoint for data loss brought on by documents that are being utilized or tran
作者: 補角    時間: 2025-3-30 19:42

作者: 觀點    時間: 2025-3-30 21:40

作者: 粘    時間: 2025-3-31 04:34

作者: Fallibility    時間: 2025-3-31 09:04

作者: CRANK    時間: 2025-3-31 10:40
Penguin Search Optimization with Deep Learning Based Cybersecurity Malware Spectrogram Image Classifm benign files. In the presented PSODL-IC technique, the noise elimination stage employs Gaussian filtration (GF). In addition, the presented PSODL-IC method employs the Xception feature extractor in conjunction with a PSO-based hyperparameter optimizer. In this investigation, the auto encoder (AE)
作者: 耕種    時間: 2025-3-31 14:40
URL Phishing Detection Using Deep Learning and Machine Learning Techniquess of 30K phishing URLs and 60K legitimate URLs, including login and index pages. The latest model we propose accomplishes 96.50% exactness on the introduced login URL dataset when Calculated Relapse matched with Term Recurrence - Backwards Record Recurrence (TF-IDF) include extraction.




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