標(biāo)題: Titlebook: Artificial Intelligence of Things; First International Rama Krishna Challa,Gagangeet Singh Aujla,Kanika S Conference proceedings 2024 The [打印本頁] 作者: Spring 時(shí)間: 2025-3-21 16:30
書目名稱Artificial Intelligence of Things影響因子(影響力)
書目名稱Artificial Intelligence of Things影響因子(影響力)學(xué)科排名
書目名稱Artificial Intelligence of Things網(wǎng)絡(luò)公開度
書目名稱Artificial Intelligence of Things網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Artificial Intelligence of Things被引頻次
書目名稱Artificial Intelligence of Things被引頻次學(xué)科排名
書目名稱Artificial Intelligence of Things年度引用
書目名稱Artificial Intelligence of Things年度引用學(xué)科排名
書目名稱Artificial Intelligence of Things讀者反饋
書目名稱Artificial Intelligence of Things讀者反饋學(xué)科排名
作者: 運(yùn)氣 時(shí)間: 2025-3-21 22:06
Antenna Array Fault Detection Using Logistic Regression Technique a high gain of 12?dB and S. of ?32?dB for 3.67?GHz frequency. Before applying a logistic regression machine learning algorithm for fault detection in an antenna array, a review of various techniques applied by researchers is carried out. The logistic regression multiclass model with a liblinear sol作者: 剝削 時(shí)間: 2025-3-22 03:57
Automatic Door Unlocking System Using Facemask Detection and Thermal Screeninge body temperature without making physical contact. The door is opened if the temperature is below the threshold, or 40 degrees Celsius, and someone is wearing a mask; otherwise, the door must be locked to stop the buzzer from going off.作者: SLAG 時(shí)間: 2025-3-22 05:24
Deep Learning Based Face Recognition System for Automated Identification aligned and normalized to account for variations in pose, scale, and illumination. Next, a deep CNN-based feature extraction network is utilized to capture high-level representations from the aligned face regions. This network learns hierarchical features that are robust to variations in facial app作者: Canyon 時(shí)間: 2025-3-22 11:31
Desirability Function Analysis Based Optimization of the On-Machine Diameter Measurement Using Machialue of ±0.2014% while blue light shows the highest percentage error in diameter measurement as ±0.6320%. However, the green light measurement method has a moderate percentage error in diameter measurement with a percentage error of ±0.5528%.作者: 使虛弱 時(shí)間: 2025-3-22 13:07 作者: 浸軟 時(shí)間: 2025-3-22 17:30
An Enhanced PSO-Based Energy Efficient Clustering Routing Algorithm for Wireless Sensor Networkluster the network and choose the appropriate cluster heads. The Modified PSO-based Energy-Efficient Clustering Routing Protocol (PSO-EECRP) of a network is an essential criterion for extending the network’s life span. Numerous factors are taken into account for the proposed approach’s energy effici作者: medium 時(shí)間: 2025-3-23 00:26
Predictive Load Management Using IoT and Data Analyticsd promotes sustainability. Furthermore, the system takes into account the day-ahead hourly price-based tariff rate, ensuring that energy consumption is cost-effective. This is achieved with a prototype Predictive Load Management Device (PLMD). To relay information to the users, the system includes a作者: Formidable 時(shí)間: 2025-3-23 02:19
A BERT Classifier Approach for Evaluation of Fake News Disseminationives a thorough assessment of numerous fake news detection strategies employed by various other authors, databases they had engaged with, and the multiple analytical people were using to evaluate the effectiveness of their respective algorithms. This research analyses the troubles and challenges of 作者: 巡回 時(shí)間: 2025-3-23 08:34
Emoji Based Sentiment Classification Using Machine Learning Approachextract features. Following to it, classifier deployment, training and assessment were carried out. Metrics for evaluation are used to gauge classifier accuracy. MultinomialNB (MNB) fared best in the field of Bag-of-words features among the three classifiers used to evaluate the accuracy, but Random作者: relieve 時(shí)間: 2025-3-23 12:20
Comparative Analysis of Structural Characteristics of Social Networks and Their Relevance in Communianalyzed to produce different network statistics for a better understanding of their suitability for disjoint and overlapping community detection. The research paper also covers applications of community detection to motivate the researchers for exploring the possibility of using characteristics of 作者: 條約 時(shí)間: 2025-3-23 17:37
A Meta-data Based Feature Selection Mechanism to Identify Suspicious Reviews, various methodologies used for the selection of the optimal features are presented in the paper with the help of the amazon dataset. The target of this approach is to ensure the use of noise-free, relevant, non-redundant, optimal features of the dataset which will result in better predictions.作者: 協(xié)奏曲 時(shí)間: 2025-3-23 18:01
Rama Krishna Challa,Gagangeet Singh Aujla,Kanika S作者: 努力趕上 時(shí)間: 2025-3-23 23:25 作者: 并入 時(shí)間: 2025-3-24 02:37 作者: Outspoken 時(shí)間: 2025-3-24 08:03 作者: Pudendal-Nerve 時(shí)間: 2025-3-24 11:37 作者: Tremor 時(shí)間: 2025-3-24 15:38
https://doi.org/10.1007/978-1-4471-0347-9alue of ±0.2014% while blue light shows the highest percentage error in diameter measurement as ±0.6320%. However, the green light measurement method has a moderate percentage error in diameter measurement with a percentage error of ±0.5528%.作者: exophthalmos 時(shí)間: 2025-3-24 22:48
https://doi.org/10.1007/978-1-4471-0347-9ploy a simple method to create our own SVM classifier with a Gaussian component that can recognize eyes in grayscale photos as the first step towards a part-based face identifier. The architecture of an iterative bootstrapping method is discussed in detail, and we show how choosing boundary values w作者: Feature 時(shí)間: 2025-3-25 02:39
https://doi.org/10.1007/978-3-319-03047-0luster the network and choose the appropriate cluster heads. The Modified PSO-based Energy-Efficient Clustering Routing Protocol (PSO-EECRP) of a network is an essential criterion for extending the network’s life span. Numerous factors are taken into account for the proposed approach’s energy effici作者: Mingle 時(shí)間: 2025-3-25 04:55 作者: Highbrow 時(shí)間: 2025-3-25 10:35 作者: PATHY 時(shí)間: 2025-3-25 11:46
https://doi.org/10.1007/978-3-658-13020-6extract features. Following to it, classifier deployment, training and assessment were carried out. Metrics for evaluation are used to gauge classifier accuracy. MultinomialNB (MNB) fared best in the field of Bag-of-words features among the three classifiers used to evaluate the accuracy, but Random作者: 苦笑 時(shí)間: 2025-3-25 19:25
FTC Configurations for Nonlinear Systems,analyzed to produce different network statistics for a better understanding of their suitability for disjoint and overlapping community detection. The research paper also covers applications of community detection to motivate the researchers for exploring the possibility of using characteristics of 作者: 結(jié)合 時(shí)間: 2025-3-25 23:19
FTC Configurations for Nonlinear Systems,, various methodologies used for the selection of the optimal features are presented in the paper with the help of the amazon dataset. The target of this approach is to ensure the use of noise-free, relevant, non-redundant, optimal features of the dataset which will result in better predictions.作者: 逃避現(xiàn)實(shí) 時(shí)間: 2025-3-26 02:41 作者: 變化無常 時(shí)間: 2025-3-26 07:43 作者: 占卜者 時(shí)間: 2025-3-26 10:49 作者: incarcerate 時(shí)間: 2025-3-26 13:44
First-Order Sliding Mode Concepts,rivate data to remain locally. In this work, different categories of federated learning have been discussed. A review of various systems implementing FL for IoV has been presented followed by the applications and challenges of FL in the IoV paradigm. The paper concludes by providing future research directions for FL in the IoV.作者: Offstage 時(shí)間: 2025-3-26 18:32 作者: 不透氣 時(shí)間: 2025-3-27 00:00 作者: municipality 時(shí)間: 2025-3-27 03:03 作者: capsaicin 時(shí)間: 2025-3-27 06:40 作者: BRIDE 時(shí)間: 2025-3-27 12:03 作者: 保守 時(shí)間: 2025-3-27 15:51
Optimal Rescheduling for Transmission Congestion Management Using Intelligent Hybrid Optimizationimization technique which is established on hybridization of particle swarm optimization and genetic algorithm optimization technique?for minimizing this?congestion cost. Utilizing the modified IEEE 57 bus system, the effectiveness of the given methodology is evaluated, and the results are discussed.作者: embolus 時(shí)間: 2025-3-27 20:32
Conference proceedings 2024, 2023..The 47 full papers and the 10 short papers included in this volume were carefully reviewed and selected from 401 submissions.?The two books focus on research issues, opportunities and challenges of AI and IoT applications. They present the most recent innovations, trends, and concerns as wel作者: seroma 時(shí)間: 2025-3-27 22:53 作者: 煩躁的女人 時(shí)間: 2025-3-28 02:21 作者: Friction 時(shí)間: 2025-3-28 08:01
1865-0929 rns as well as practical challenges encountered and solutions adopted in the fields of AI algorithms implementation in IoT Systems.978-3-031-48780-4978-3-031-48781-1Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: 態(tài)度暖昧 時(shí)間: 2025-3-28 12:36
Amalgamation of Machine Learning Techniques with Optical Systems: A Futuristic Approached further by the deployment of 5G services and IoT. Hence to incorporate this big data, demand for flexible and scalable networks has risen thereby increasing complexity. So, there is a need of new techniques that can monitor their performances and accordingly adjust the parameters as per the real 作者: 貨物 時(shí)間: 2025-3-28 16:52
Antenna Array Fault Detection Using Logistic Regression Technique its radiation pattern, and its directivity pattern gets disturbed. Fault in elements of the array antenna enhances the side lobe levels; To tackle this kind of issue, pattern regeneration techniques can be utilized, but for that, the detection of the faulty element is needed. Hence to cater this ki作者: 脊椎動(dòng)物 時(shí)間: 2025-3-28 19:10
Internet Based Routing in Vehicular Named Data Networkingthe mobile nature of the vehicular nodes that causes a change in the location of consumers, producers, and intermediate nodes. Named Data Networking (NDN), when implemented on vehicular networks provides support for efficient data retrieval and mobility. This new paradigm, dubbed Vehicular Named Dat作者: MEAN 時(shí)間: 2025-3-29 00:26 作者: 有組織 時(shí)間: 2025-3-29 06:15 作者: 聾子 時(shí)間: 2025-3-29 08:02
Deep Learning Based Face Recognition System for Automated Identificationrol, and human-computer interaction. In recent years, deep learning has revolutionized the field of face recognition by significantly improving accuracy and robustness. This abstract presents an overview of a deep learning-based face recognition system developed for automated identification purposes作者: Hyperalgesia 時(shí)間: 2025-3-29 15:07
Desirability Function Analysis Based Optimization of the On-Machine Diameter Measurement Using Machi with the aim of a swift, reliable, error-proof measuring system with minimum human intervention. The use of an IoT system integrated with a machine vision system has a great advantage which improves the overall performance of the system. Such a system can work under a complex system environment. Th作者: foodstuff 時(shí)間: 2025-3-29 18:20 作者: 鐵塔等 時(shí)間: 2025-3-29 21:55 作者: 埋伏 時(shí)間: 2025-3-30 00:54
Machine Learning Based Incipient Fault Diagnosis of Induction Motorhod described in this paper. The objectives of this paper is to get high accuracy in predicting the fault of a machine and reduce the training time period of the model. Prediction of electrical and mechanical faults is achieved by monitoring the acoustic signal and analyzing it to identify deviation作者: glisten 時(shí)間: 2025-3-30 04:26 作者: WAG 時(shí)間: 2025-3-30 11:30
Optimal Rescheduling for Transmission Congestion Management Using Intelligent Hybrid Optimizationestructured energy?market. Congestion on the transmission lines creates significant issues for the efficient operational management of the deregulated?power system and raises the cost of transmitting power which is an important factor of consideration. Therefore, it is crucial to examine various met作者: discord 時(shí)間: 2025-3-30 13:45
Predictive Load Management Using IoT and Data Analytics Term Memory (LSTM) model for predicting household energy demand and optimizing energy consumption with load scheduling and shifting. To achieve this goal, the system feeds 7?days’ worth of energy consumption data, along with relevant features such as temperature, humidity, precipitation, and holida作者: archaeology 時(shí)間: 2025-3-30 18:32
A BERT Classifier Approach for Evaluation of Fake News Disseminationre two important aspects that have led to this trend in media usage. Users share thousands of posts, articles, and videos as the internet penetration grows. These postings are done on a variety of social networking sites such as Facebook, Instagram, YouTube, Twitter, and others. It is now widely ack作者: ARCHE 時(shí)間: 2025-3-30 21:31 作者: Outwit 時(shí)間: 2025-3-31 01:33 作者: 國(guó)家明智 時(shí)間: 2025-3-31 08:20
A Meta-data Based Feature Selection Mechanism to Identify Suspicious Reviewsnline or web society, users get help from reviews before making a decision and in a similar way, web reviews are also very helpful for organizations to keep them updated as per customer needs. Many efforts through various algorithms have already been made to detect deceptive reviews. It has been obs作者: 侵略主義 時(shí)間: 2025-3-31 09:42
Artificial Intelligence of Things978-3-031-48781-1Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: Overthrow 時(shí)間: 2025-3-31 13:24 作者: Ablation 時(shí)間: 2025-3-31 18:03 作者: 假設(shè) 時(shí)間: 2025-3-31 23:28 作者: Hyperalgesia 時(shí)間: 2025-4-1 04:39
https://doi.org/10.1007/978-981-16-6651-3ed further by the deployment of 5G services and IoT. Hence to incorporate this big data, demand for flexible and scalable networks has risen thereby increasing complexity. So, there is a need of new techniques that can monitor their performances and accordingly adjust the parameters as per the real
