標(biāo)題: Titlebook: AI Technologies for Information Systems and Management Science; Proceedings of 6th I Lalit Garg,Dilip Singh Sisodia,Imene Brigui Conference [打印本頁] 作者: Manipulate 時(shí)間: 2025-3-21 17:20
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書目名稱AI Technologies for Information Systems and Management Science影響因子(影響力)學(xué)科排名
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書目名稱AI Technologies for Information Systems and Management Science網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱AI Technologies for Information Systems and Management Science被引頻次
書目名稱AI Technologies for Information Systems and Management Science被引頻次學(xué)科排名
書目名稱AI Technologies for Information Systems and Management Science年度引用
書目名稱AI Technologies for Information Systems and Management Science年度引用學(xué)科排名
書目名稱AI Technologies for Information Systems and Management Science讀者反饋
書目名稱AI Technologies for Information Systems and Management Science讀者反饋學(xué)科排名
作者: 預(yù)防注射 時(shí)間: 2025-3-21 23:26 作者: bizarre 時(shí)間: 2025-3-22 03:32 作者: Pillory 時(shí)間: 2025-3-22 04:49 作者: JUST 時(shí)間: 2025-3-22 08:59 作者: 推遲 時(shí)間: 2025-3-22 16:58 作者: Commonwealth 時(shí)間: 2025-3-22 17:25 作者: 虛弱的神經(jīng) 時(shí)間: 2025-3-23 01:16
Periodische Funktionen und Fourieranalyse,mprising RGB-D, volumetric, and multi-view used for 3D objects. Datasets that are prominent for this process are also explained hereby. This paper represents a comparative analysis regarding the potential of deep learning for 3D sensed data along with its performance measures.作者: 豐滿有漂亮 時(shí)間: 2025-3-23 03:09 作者: Coronary-Spasm 時(shí)間: 2025-3-23 06:57 作者: cortex 時(shí)間: 2025-3-23 11:43
Comprehensive Study and Analysis of 3D Objects from Real World Environment,mprising RGB-D, volumetric, and multi-view used for 3D objects. Datasets that are prominent for this process are also explained hereby. This paper represents a comparative analysis regarding the potential of deep learning for 3D sensed data along with its performance measures.作者: figment 時(shí)間: 2025-3-23 15:44
An Efficient Channel Prediction Using Artificial Neural Network Deep Learning Technique in Cognitivby utilizing ANNs and deep learning approaches. We present a new method that uses deep neural networks to describe the spatial and temporal properties of wireless channels. Predictions of future channel states are made using a combination of past data and knowledge about the surrounding environment and the network.作者: Guileless 時(shí)間: 2025-3-23 19:13 作者: 被詛咒的人 時(shí)間: 2025-3-24 00:47 作者: arbovirus 時(shí)間: 2025-3-24 04:36 作者: 禁止,切斷 時(shí)間: 2025-3-24 10:19
Data Pre-processing Solution Using Statistical and Data Mining Techniques,tigation concludes with considerations on the significance of Root Mean Squared Error in evaluating model performance. Overall, the research addresses critical aspects of data preprocessing, offering practical insights for researchers and practitioners.作者: Anonymous 時(shí)間: 2025-3-24 12:47
An Improved Fabric Defect Detection Using Machine Learning,transform fabric defect identification in real-world applications, ensuring product integrity and quality. This work provides a robust foundation for advancing fabric defect classification and paves the way for practical applications in?the textile industry.作者: 不溶解 時(shí)間: 2025-3-24 17:40
https://doi.org/10.1007/978-3-7908-2678-4nguage for mutual understanding. However, when it comes to individuals who are deaf, hard of hearing, or mute, their method of communication differs. In these cases, sign language becomes the primary mode of communication, empowering them to communicate within their own community and with the broade作者: 乳白光 時(shí)間: 2025-3-24 19:37 作者: VOK 時(shí)間: 2025-3-25 01:18 作者: Ancillary 時(shí)間: 2025-3-25 05:28
Differentialrechnung und Anwendungen,re and diagnosis. The initial goal of this project is to improve the usability and quality of medical assessments simultaneously by effectively utilizing the algorithmic capabilities of artificial intelligence. This effort aims to point out specific challenges including but not limited to inaccurate作者: prostate-gland 時(shí)間: 2025-3-25 11:33 作者: 合唱團(tuán) 時(shí)間: 2025-3-25 14:11 作者: FLAG 時(shí)間: 2025-3-25 16:45
Periodische Funktionen und Fourieranalyse,ficance and qualities of each component in order to better understand its impact. The current research provides a critical evaluation of the definition and features of the phrase “group dynamics”. In order to see how internal and external factors affect the behaviour of individual group members as w作者: 殖民地 時(shí)間: 2025-3-25 20:08 作者: 玩忽職守 時(shí)間: 2025-3-26 00:58 作者: 后來 時(shí)間: 2025-3-26 04:44
Differentialrechnung und Anwendungen,gagement and loyalty in the commercial arena. In today‘s world, mobile apps offer a direct method of contact, allowing businesses to tailor their goods & services to a specific need of their customers. Mobile applications have the ability to improve customer service, make product discovery easier, a作者: 聰明 時(shí)間: 2025-3-26 11:10 作者: dithiolethione 時(shí)間: 2025-3-26 16:31 作者: 違法事實(shí) 時(shí)間: 2025-3-26 19:13 作者: infelicitous 時(shí)間: 2025-3-26 21:54
https://doi.org/10.1007/978-3-642-72340-7entertainment content is viewed digitally. This work employs advanced self-organizing maps (SOM) to provide a new approach for recommending movies. Unsupervised neural network models, commonly known as SOMs, are highly effective for recommendation systems due to their ability to effectively capture 作者: BOOM 時(shí)間: 2025-3-27 01:31
Klaus-Georg Krapf,Harald R?snerults from applying four machine learning techniques – Logistic Regression, Decision Tree, Random Forest,?and Support Vector Machines – on four publicly available data sets – Diagnostic Wisconsin Breast Cancer Database, Original Wisconsin Breast Cancer Database, Mammographic Mass Database, and Progno作者: Fecal-Impaction 時(shí)間: 2025-3-27 09:21
Harald R?sner,Klaus-Georg Krapfo various countries. The language encounters a dearth of resources, notably in text processing for intricate tasks like Named Entity Recognition, Text Classification, Question Answering, Sentiment Analysis, and Anaphora resolution. Natural Language Processing emerges as a pivotal term when confronte作者: 減去 時(shí)間: 2025-3-27 12:41
https://doi.org/10.1007/978-3-322-83100-2urity mistakes. Machine-learning anti-phishing techniques are becoming increasingly popular.?This study introduces Phish-Guard, a machine learning-powered framework which utilizes visual inspection to identify phishing websites. Phish-Guard detects phishing websites by combining color palettes and b作者: incision 時(shí)間: 2025-3-27 16:18
https://doi.org/10.1007/978-3-322-83100-2. This issue has emerged as a significant factor contributing to road accidents, imposing a substantial burden on the already stretched healthcare system. Despite previous endeavors to improve compliance, helmet negligence continues to be a pressing concern. In response to this ongoing problem, our 作者: 細(xì)微的差異 時(shí)間: 2025-3-27 20:02
,Microsoft Dynamics AX - ein überblick,ons and symport ad antiport rules known as CCS P systems, this paper introduces a progressive variant—CCSs P systems. This augmentation incorporates a synchronization rule, adding a nuanced layer to the original CCS P system‘s channel sections and symport/antiport rules. The study delves into the co作者: 有特色 時(shí)間: 2025-3-28 00:14
AI Technologies for Information Systems and Management Science978-3-031-70789-6Series ISSN 2367-3370 Series E-ISSN 2367-3389 作者: Commentary 時(shí)間: 2025-3-28 05:13 作者: MEN 時(shí)間: 2025-3-28 09:06 作者: 壓碎 時(shí)間: 2025-3-28 11:18 作者: 陳舊 時(shí)間: 2025-3-28 16:15
https://doi.org/10.1007/978-3-031-70789-6Information Systems; Management Science; ISMS 2022; Data Acquisition; Knowledge Acquisition作者: ticlopidine 時(shí)間: 2025-3-28 21:29 作者: 使迷醉 時(shí)間: 2025-3-28 23:41 作者: 思想上升 時(shí)間: 2025-3-29 04:14 作者: 陰謀 時(shí)間: 2025-3-29 09:18 作者: definition 時(shí)間: 2025-3-29 11:55 作者: Eclampsia 時(shí)間: 2025-3-29 17:54
Detecting Pneumonia and COVID-19 by Using Chest X-Ray with ResNet Algorithm,re and diagnosis. The initial goal of this project is to improve the usability and quality of medical assessments simultaneously by effectively utilizing the algorithmic capabilities of artificial intelligence. This effort aims to point out specific challenges including but not limited to inaccurate作者: 上流社會 時(shí)間: 2025-3-29 22:47
Comprehensive Study and Analysis of 3D Objects from Real World Environment,ments, techniques for understanding and detecting 3D sensed data, from 2D images, is relatively infantile. This literature reviews existing state-of-the-art approaches of Deep Learning for detecting objects in 2D images, and detecting 3D objects from 2D images itself. We address the traditional meth作者: 證實(shí) 時(shí)間: 2025-3-30 02:26
An Efficient Channel Prediction Using Artificial Neural Network Deep Learning Technique in Cognitivto available spectrum resources. Accurate channel state prediction is a significant problem in CR systems because of its importance in efficient spectrum sensing and resource allocation. Because of their ability to learn complicated patterns from big datasets, ANNs and deep learning approaches have 作者: 松軟無力 時(shí)間: 2025-3-30 04:37 作者: Mirage 時(shí)間: 2025-3-30 12:05 作者: 故意 時(shí)間: 2025-3-30 15:55 作者: 一回合 時(shí)間: 2025-3-30 17:03
Exploring the Influence of Mobile Apps on Customer Engagement and Loyalty,gagement and loyalty in the commercial arena. In today‘s world, mobile apps offer a direct method of contact, allowing businesses to tailor their goods & services to a specific need of their customers. Mobile applications have the ability to improve customer service, make product discovery easier, a作者: INERT 時(shí)間: 2025-3-30 20:51 作者: hypnogram 時(shí)間: 2025-3-31 03:40
Sign Language Translation into Text Using Deep Learning,ten language remains a significant barrier to accessibility. This paper presents a comprehensive overview of a deep learning approach for translating sign language into text, bridging the communication divide. We explore the application of deep neural networks, including convolutional neural network作者: Forehead-Lift 時(shí)間: 2025-3-31 08:33 作者: BABY 時(shí)間: 2025-3-31 12:41 作者: heterodox 時(shí)間: 2025-3-31 14:09
,Breast Cancer Prediction: A Comparative Study of?Different Machine Learning Algorithms Across Multiults from applying four machine learning techniques – Logistic Regression, Decision Tree, Random Forest,?and Support Vector Machines – on four publicly available data sets – Diagnostic Wisconsin Breast Cancer Database, Original Wisconsin Breast Cancer Database, Mammographic Mass Database, and Progno作者: Hemiparesis 時(shí)間: 2025-3-31 21:01 作者: Medicaid 時(shí)間: 2025-3-31 23:54 作者: Neonatal 時(shí)間: 2025-4-1 05:47
Identification of Helmet Rule Violators Using Convolutional Neural Network,. This issue has emerged as a significant factor contributing to road accidents, imposing a substantial burden on the already stretched healthcare system. Despite previous endeavors to improve compliance, helmet negligence continues to be a pressing concern. In response to this ongoing problem, our 作者: tenuous 時(shí)間: 2025-4-1 07:41
Enhanced Multiple Convolutional Neural Networks Based CCS P System for Precise Classification in Meons and symport ad antiport rules known as CCS P systems, this paper introduces a progressive variant—CCSs P systems. This augmentation incorporates a synchronization rule, adding a nuanced layer to the original CCS P system‘s channel sections and symport/antiport rules. The study delves into the co作者: 用手捏 時(shí)間: 2025-4-1 10:52
https://doi.org/10.1007/978-3-7908-2678-4on of OpenCV to ensure precise and effective sign language recognition. Furthermore, we utilize the Protocol Buffers library for streamlined data management, while the LabelImg annotation tool plays a crucial role in creating high-quality training datasets, meticulously labelling images with boundin作者: glamor 時(shí)間: 2025-4-1 17:10
Interpolation und Ausgleichsrechnung,ith the help?of dictionaries, prepared the training dataset and testing dataset?and apply different classification algorithms on it. Through?this survey, we get to know different methods used for sentiment analysis as it is used to determine the sentiment or emotion expressed in?a piece of text, whe作者: 替代品 時(shí)間: 2025-4-1 20:34 作者: 健壯 時(shí)間: 2025-4-2 01:49
Periodische Funktionen und Fourieranalyse,rganizational context, teams are more inclusive and structured than groups. Every organization usually forms teams or groups to accomplish a variety of objectives and goals. A selection of the best and most knowledgeable experts is made to guarantee that the tasks are efficiently carried out within
