標題: Titlebook: Applied Machine Learning and Data Analytics; 5th International Co M. A. Jabbar,Fernando Ortiz-Rodríguez,Patrick Siar Conference proceedings [打印本頁] 作者: Abeyance 時間: 2025-3-21 19:49
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書目名稱Applied Machine Learning and Data Analytics被引頻次學科排名
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書目名稱Applied Machine Learning and Data Analytics讀者反饋
書目名稱Applied Machine Learning and Data Analytics讀者反饋學科排名
作者: 撤退 時間: 2025-3-21 23:05 作者: 拋物線 時間: 2025-3-22 03:39 作者: Monotonous 時間: 2025-3-22 04:48 作者: 執(zhí)拗 時間: 2025-3-22 10:07 作者: pacific 時間: 2025-3-22 13:41
SMDKGG: A Socially Aware Metadata Driven Knowledge Graph Generation for Disaster Tweets, So, in this paper Knowledge Graph Generation framework, the SMDKGG has been proposed, is a Semantically Inclined Metadata driven model for Knowledge Graph Generation, which is a text to Knowledge Graph generation strategy where the document dataset is subjected to a lateral mapping of categories an作者: ALIAS 時間: 2025-3-22 17:28
Brain MRI Image Classification Using Deep Learning, classify and diagnose this problem effectively and help medical professionals save precious lives. Brain MRI [.] images help in detection of these tumors. Though there are classification techniques the most common limitation is low accuracy. In this paper we use Deep Learning Architectures to perfo作者: 才能 時間: 2025-3-22 23:09 作者: 成份 時間: 2025-3-23 04:15 作者: Cabg318 時間: 2025-3-23 06:58
,Better Qualitative Searching for?Effecting the?Performance of?Machine Translation,tributes to the empowerment of intelligent machines. Instead of hand-coding massive sets of rules, NLP can use machine learning to learn these rules automatically by examining a set of rules. With a view to better and clearer results in the endeavor to achieve success in the field of language transl作者: 終點 時間: 2025-3-23 11:34
,RU-Net: A Novel Approach for?Gastro-Intestinal Tract Image Segmentation Using Convolutional Neural are present in the food are absorbed by the walls of the GI tract. The GI tract consists of the mouth, esophagus, stomach, intestine, and anus in the human digestive system. Many people get affected by GI tract cancer leading to the development of tumors in the tract. To treat these tumors, gastroen作者: Pigeon 時間: 2025-3-23 17:15
A Credit Card Fraud Detection Model Using Machine Learning Methods with a Hybrid of Undersampling aas well as offline purchases. As a consequence, there is substantially more fraud involved in the transaction processes. Data mining has an issue for prediction, and data classification, therefore finding occurrences is essential. Unusual events are challenging to be identified due to their irregula作者: 把…比做 時間: 2025-3-23 19:45
Online Grocery Shopping: - Key Factors to Understand Shopping Behavior from Data Analytics Perspectfter the deadly COVID-19 pandemic, people are forced to stay back at home, which made grocery shopping online. Not only traditional shopping but general online shopping differs from this because of its variability and perishability nature as compared to other products. With the leaping momentum of o作者: nocturnal 時間: 2025-3-23 22:30 作者: peak-flow 時間: 2025-3-24 04:52 作者: TOXIC 時間: 2025-3-24 08:26 作者: microscopic 時間: 2025-3-24 13:58
Handwriting Recognition for Predicting Gender and Handedness Using Deep Learning,yzed various Deep learning approaches using different CNN models. Our proposed approach uses two data sets IAM English dataset and Real-Time dataset that was collected by us for recognizing the handwriting pattern to perform the defined task. Using different Deep learning approaches, experiments wer作者: 注意 時間: 2025-3-24 16:53 作者: Tracheotomy 時間: 2025-3-24 20:57
Origin of entropy in the work of Clausius, method was utilized for data augmentation to overcome the problem of overfitting. After compiling the Unet model on the dataset and evaluating the model metrics, the results and the output that was generated show that the model achieved good results. The model achieved an Accuracy of approximately 作者: prick-test 時間: 2025-3-25 00:16
Dissipative entropy source of the earth, its classification using Transformers ensure that many more auxiliary knowledge substrates are selectively added to the framework. Its classification by a Deep Learning Transformer classifier ensures its ease of handling. Subsequently, the classification of the dataset using the AdaBoost, the encom作者: Canopy 時間: 2025-3-25 07:21 作者: 平項山 時間: 2025-3-25 08:54
Entropy and energy in competition,o recognize facial landmarks on images. Real-time image processing is done in the cloud, and attendance is recorded on a dashboard that is accessible from anywhere. The system sends the email to the employee using SMTP Protocol in case of arriving late /absent without permission. The result reveals 作者: Cardiac 時間: 2025-3-25 14:56
Origin of entropy in the work of Clausius, to find instances of fraud in the dataset for fraudulent activities. The experimental study used two days of credit card transactions made by European cardholders in September 2013. To evaluate the models’ performances, confusion matrix, precision, recall, f1_score, cross-validation score, and ROC_作者: 高原 時間: 2025-3-25 17:27 作者: 錯誤 時間: 2025-3-25 21:00
https://doi.org/10.1007/978-94-011-2430-0nt analysis of Twitter users of South America was carry out based in this proposal. Tweets with Monkeypox-related information for this study were collected from May 31, 2022 to November 30, 2022. Afterwards, the data was pre-processed, and from there text mining techniques and machine learning algor作者: HOWL 時間: 2025-3-26 01:31 作者: 雇傭兵 時間: 2025-3-26 05:43 作者: Celiac-Plexus 時間: 2025-3-26 09:08 作者: Endoscope 時間: 2025-3-26 15:47 作者: Colonnade 時間: 2025-3-26 18:38
A Real-Time Face Recognition Attendance Using Machine Learning,o recognize facial landmarks on images. Real-time image processing is done in the cloud, and attendance is recorded on a dashboard that is accessible from anywhere. The system sends the email to the employee using SMTP Protocol in case of arriving late /absent without permission. The result reveals 作者: 周年紀念日 時間: 2025-3-26 22:58
A Credit Card Fraud Detection Model Using Machine Learning Methods with a Hybrid of Undersampling a to find instances of fraud in the dataset for fraudulent activities. The experimental study used two days of credit card transactions made by European cardholders in September 2013. To evaluate the models’ performances, confusion matrix, precision, recall, f1_score, cross-validation score, and ROC_作者: 不發(fā)音 時間: 2025-3-27 03:43 作者: 小淡水魚 時間: 2025-3-27 06:27
,How People in?South America is Facing Monkeypox Outbreak?,nt analysis of Twitter users of South America was carry out based in this proposal. Tweets with Monkeypox-related information for this study were collected from May 31, 2022 to November 30, 2022. Afterwards, the data was pre-processed, and from there text mining techniques and machine learning algor作者: 野蠻 時間: 2025-3-27 10:35 作者: COMMA 時間: 2025-3-27 13:49
Dissipative entropy source of the earth,f-statistic and mutual information have topped most often, which are followed by fisher score, SU, Chi-square and ReliefF. Such study is imperative in choosing appropriate feature selectors for a given classification problem, and therefore may be useful for research fraternity.作者: 織物 時間: 2025-3-27 19:32 作者: 吃掉 時間: 2025-3-27 23:54
Entropy in the work of Boltzmann, and large bowel organs. The best dice score obtained by our model is 0.9049 on the validation set of the UW-Madison GI Tract Image Segmentation dataset. The model proposed in this work is also compared with other techniques such as LeViT128-UNet, Mask R-CNN, and LeViT384-UNet++.作者: 損壞 時間: 2025-3-28 05:11
N. B. Harmancioglu,N. Alpaslan,V. P. Singhase of Shopping’, ‘Pandemic Arisen Factors’, ‘Financial Risk’, ‘Technology Driven’, ‘Product Performance and Psycho-Social Risk’, ‘Location and Quantity Constraint’, and ‘Entertainment’. Among those, ‘Pandemic Arisen Factors’ and ‘Technology Driven’ are significantly impacting consumers’ online purchases.作者: 隱士 時間: 2025-3-28 09:00
,Deep Learning Methods to?Automate Embryo Classification and?Evaluation, of successful pregnancy. This paper evaluates different approaches involving machine learning and deep learning techniques to identify embryo and extract the features of embryos such as ICM and TE which help in grading embryos.作者: 虛假 時間: 2025-3-28 13:47 作者: 聾子 時間: 2025-3-28 14:38
Keratoconus Classification Using Feature Selection and Machine Learning Approach,e learning algorithms. The experimental results implied that Sequential forward selection and PSO provided the highest classification accuracy by the application of Negative Correlation based Deep Ensemble Network (NC-DEN), with an accuracy of 96.14%.作者: verdict 時間: 2025-3-28 18:50 作者: arabesque 時間: 2025-3-29 00:44
Online Grocery Shopping: - Key Factors to Understand Shopping Behavior from Data Analytics Perspectase of Shopping’, ‘Pandemic Arisen Factors’, ‘Financial Risk’, ‘Technology Driven’, ‘Product Performance and Psycho-Social Risk’, ‘Location and Quantity Constraint’, and ‘Entertainment’. Among those, ‘Pandemic Arisen Factors’ and ‘Technology Driven’ are significantly impacting consumers’ online purchases.作者: 胰臟 時間: 2025-3-29 05:22
,Better Qualitative Searching for?Effecting the?Performance of?Machine Translation,ation, we have gone through some of the techniques like Machine Translation, Punctuation Restoration, Name Entity Recognition, and Sentiment Analysis. Here we mentioned different state-of-the-art methods for different techniques of NLP. This paper offers an abstract analysis of the current state of language translation techniques.作者: novelty 時間: 2025-3-29 07:21
Handwriting Recognition for Predicting Gender and Handedness Using Deep Learning,e conducted to analyze the performance on the given two datasets for predicting. Gender and handedness. Experiments showed Google Net using CNN is the most efficient for the prediction and recognition with the handwriting samples. For combined prediction the accuracy rate is around 94% with Real-Time dataset and 95% with the IAM dataset.作者: Spinal-Tap 時間: 2025-3-29 11:59
Entropy in the work of Boltzmann,n for advanced metering infrastructure, along with the security risks and threat landscape. For the exchange of energy, we have proposed an Ethereum-based blockchain model, and results are discussed for the scenario when an independent house’s smart meter and distribution system operator trades energy.作者: 敘述 時間: 2025-3-29 18:11
Origin of entropy in the work of Clausius,arning algorithms. A methodology is presented that involves the analysis and processing of information to train and configure four different classification algorithms to recognize three types of classes: male, female, and immature. The results demonstrate the impact of using linear classifiers for this task.作者: 入伍儀式 時間: 2025-3-29 21:57 作者: 粉筆 時間: 2025-3-30 03:36
S. Kjelstrup Ratkje,B. Hafskjold lexicon, as well as the corresponding weights, are obtained by means of a distance measure that is closely related to the probability that a document belongs to its label. The preliminary results obtained with a corpus of 405 documents show that the method reaches an accuracy of 92.3%.作者: Scleroderma 時間: 2025-3-30 04:51 作者: 故意釣到白楊 時間: 2025-3-30 09:24
Towards Abalone Differentiation Through Machine Learning,arning algorithms. A methodology is presented that involves the analysis and processing of information to train and configure four different classification algorithms to recognize three types of classes: male, female, and immature. The results demonstrate the impact of using linear classifiers for this task.作者: 廚師 時間: 2025-3-30 12:42 作者: 閃光你我 時間: 2025-3-30 17:46 作者: eustachian-tube 時間: 2025-3-30 23:05 作者: 過份艷麗 時間: 2025-3-31 02:57 作者: Anemia 時間: 2025-3-31 07:03 作者: Lignans 時間: 2025-3-31 10:07
S. Kjelstrup Ratkje,B. Hafskjolde conducted to analyze the performance on the given two datasets for predicting. Gender and handedness. Experiments showed Google Net using CNN is the most efficient for the prediction and recognition with the handwriting samples. For combined prediction the accuracy rate is around 94% with Real-Time dataset and 95% with the IAM dataset.作者: adduction 時間: 2025-3-31 16:34
Conference proceedings 2023 Reynosa, Tamaulipas, Mexico, during December 22–23, 2022.?The 16 full papers and 4 short papers included in this book were carefully reviewed and selected from 89 submissions. They were organized in topical sections as follows: Machine?learning, Healthcare?and medical imaging informatics; biometric作者: 后天習得 時間: 2025-3-31 18:11
1865-0929 2, held in Reynosa, Tamaulipas, Mexico, during December 22–23, 2022.?The 16 full papers and 4 short papers included in this book were carefully reviewed and selected from 89 submissions. They were organized in topical sections as follows: Machine?learning, Healthcare?and medical imaging informatics;作者: 云狀 時間: 2025-4-1 00:25 作者: Cabinet 時間: 2025-4-1 02:03 作者: 受傷 時間: 2025-4-1 06:54
Applied Machine Learning and Data Analytics978-3-031-34222-6Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: Platelet 時間: 2025-4-1 12:26
Communications in Computer and Information Sciencehttp://image.papertrans.cn/a/image/159912.jpg作者: 珍奇 時間: 2025-4-1 14:29 作者: 玩笑 時間: 2025-4-1 21:34
Dissipative entropy source of the earth,ormation, fisher score, gini index and ReliefF. Each of these measures are evaluated by correlating univariate feature fitness scores with corresponding accuracies obtained using support vector machine with stratified 10-fold cross-validation over a diversified collection of datasets like mobile pri
