標(biāo)題: Titlebook: Data Science and Emerging Technologies; Proceedings of DaSET Yap Bee Wah,Dhiya Al-Jumeily OBE,Michael W. Berry Conference proceedings 2024 [打印本頁] 作者: endocarditis 時間: 2025-3-21 16:26
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作者: 大罵 時間: 2025-3-21 23:03 作者: monogamy 時間: 2025-3-22 00:55 作者: Diaphragm 時間: 2025-3-22 06:18
Random Processes and Dynamic Forecastingt-hand experience that such wounds are often wrongly classified, making the healing process difficult and painful for the patient, when it does not need to be the case. This study aims to research the use of modern computer vision and artificial intelligence techniques to aid in the classification o作者: WITH 時間: 2025-3-22 10:44
Tasks and Aspects of Modern Logisticsection where 2D LiDAR sensors are utilized to collect data like distance and reflection strength. Through analysis, the gathered data are compared with an array of trend lines to ascertain the optimal data relationship. Among the equations considered, including linear, logarithmic, polynomial, and p作者: 真繁榮 時間: 2025-3-22 15:19 作者: 真繁榮 時間: 2025-3-22 17:17
Comprehensive Management of Menopauseliver more complicated computing tasks. In many cases, service composition was the process of selecting the optimal set of services from a repository of available services, which led to a multi-objective combinatorial optimization problem falling in the category of NP-hard. As a result, seeking opti作者: Junction 時間: 2025-3-22 23:26
https://doi.org/10.1007/978-3-540-36874-8raudulent websites, exploited the Internet to trick people into committing fraud or engaging in malicious cyberattacks, which cost billions of dollars of loss. Numerous research and methodologies have been developed to recognize fraudulent Internet websites, yet none of them has been able to offer a作者: 我沒有強(qiáng)迫 時間: 2025-3-23 04:44
The Classical Number Domains Z, Q, R, and Clicious software that encrypts all the user’s data or system and demands a ransom payment for decryption. Despite various machine learning approaches proposed for ransomware detection, they often fail to identify those threats accurately in time, thus leading to data loss and victimization. This res作者: defuse 時間: 2025-3-23 06:57
The Classical Number Domains Z, Q, R, and Clearning (TnL). This article explores the transformative power of gamification in online education, shedding light on its capacity to ignite motivation, enhance engagement, and facilitate meaningful learning experiences. Traditional education paradigms have expanded, requiring educators to guide stu作者: CRAMP 時間: 2025-3-23 11:25
The Classical Number Domains Z, Q, R, and Cemotions and viewpoints of individuals on social media platforms. This area of research has undergone extensive investigation, leading to the integration of diverse algorithms and techniques specifically tailored to this objective. A recent breakthrough in the field of general AI is exemplified by L作者: 我要威脅 時間: 2025-3-23 15:40 作者: Tremor 時間: 2025-3-23 18:44
https://doi.org/10.1007/b138337ths from affecting the police force, public, and government from an associated reduction in police numbers. The aim of this research is to compare different time series forecasting models and find the most efficient model in predicting police deaths occurring in the USA. The dataset used in this stu作者: Bureaucracy 時間: 2025-3-24 02:09
https://doi.org/10.1007/b138337 communication. Multimodal emotion recognition is the technique of simultaneously considering several modalities to boost accuracy and robustness. As emotion identification studies become more vital to human–computer interactions, automatic emotion detection systems become increasingly necessary. Ho作者: 特別容易碎 時間: 2025-3-24 06:26 作者: 劇本 時間: 2025-3-24 07:47 作者: 紡織品 時間: 2025-3-24 11:33 作者: Ophthalmoscope 時間: 2025-3-24 16:23 作者: notice 時間: 2025-3-24 21:38
Data Science and Emerging Technologies978-981-97-0293-0Series ISSN 2367-4512 Series E-ISSN 2367-4520 作者: GRAVE 時間: 2025-3-25 03:14 作者: concise 時間: 2025-3-25 04:24
Lecture Notes on Data Engineering and Communications Technologieshttp://image.papertrans.cn/d/image/263093.jpg作者: LAY 時間: 2025-3-25 10:47 作者: macular-edema 時間: 2025-3-25 13:02
Comprehensive Management of Menopauseethora of hybridization methods leveraging operator modification is evident in existing literature. This paper proposes a fuzzy hybrid metaheuristics using fuzzy linguistics search operator to accelerate convergence and minimize the stochastic behaviours of metaheuristics to achieve a stable search mechanism.作者: 花費(fèi) 時間: 2025-3-25 19:52 作者: Cupidity 時間: 2025-3-25 22:54 作者: CLEAR 時間: 2025-3-26 01:01 作者: 邪惡的你 時間: 2025-3-26 07:26 作者: 盟軍 時間: 2025-3-26 10:44
Conference proceedings 2024 The topics covered are artificial intelligence, big data technology, machine and deep learning, data mining, optimization algorithms, blockchain, Internet of Things (IoT), cloud computing, computer vision, cybersecurity, augmented and virtual reality, cryptography, and statistical learning..作者: 正面 時間: 2025-3-26 16:40 作者: 高興去去 時間: 2025-3-26 17:18
The Classical Number Domains Z, Q, R, and C sentiment analysis. We evaluate its performance on established benchmark datasets as well as a collection of reviews extracted from Google Maps. The findings indicate that the Large Language Models can outperform traditional methods in the literature, and they do not require pre-processing, unlike traditional methods.作者: 感染 時間: 2025-3-26 23:50 作者: 裹住 時間: 2025-3-27 01:33
Sentiment Analysis Using Large Language Models: A Case Study of GPT-3.5 sentiment analysis. We evaluate its performance on established benchmark datasets as well as a collection of reviews extracted from Google Maps. The findings indicate that the Large Language Models can outperform traditional methods in the literature, and they do not require pre-processing, unlike traditional methods.作者: Genome 時間: 2025-3-27 09:13 作者: 不舒服 時間: 2025-3-27 13:06
Multi-aspect Extraction in Indonesian Reviews Through Multi-label Classification Using Pre-trained B analysis. While previous studies have successfully extracted aspects, they often focused on a single-aspect per review, overlooking the presence of multiple aspects within sentences. This limitation has affected capturing a complete user opinion, thus posing a challenge despite the complexity of co作者: Cpr951 時間: 2025-3-27 14:22
Artificial Intelligence (AI) Empowered Sign Language Recognition Using Hybrid Neural Networksbodily motions. Although sign language has become more common in recent years, communicating with sign language speakers or signers remains difficult for non-sign language speakers. There has been promising progress in the disciplines of motion and gesture detection utilizing Artificial Intelligent 作者: Cholesterol 時間: 2025-3-27 19:10
The Performance of GPT-3.5 in Summarizing Scientific and News Articlest summarization models that convert information into precise summaries such that essential details are not overlooked. Recently, GPT-3.5 has demonstrated impressive performance in text completion, generation, and question answering. However, its effectiveness in generating concise and coherent summa作者: ETHER 時間: 2025-3-28 00:34
Wound Stage Recognition Using YOLOv5t-hand experience that such wounds are often wrongly classified, making the healing process difficult and painful for the patient, when it does not need to be the case. This study aims to research the use of modern computer vision and artificial intelligence techniques to aid in the classification o作者: condemn 時間: 2025-3-28 02:24
Harvest Palm Tree Based on Detection Through 2D LiDAR Sensor Using Power Equationection where 2D LiDAR sensors are utilized to collect data like distance and reflection strength. Through analysis, the gathered data are compared with an array of trend lines to ascertain the optimal data relationship. Among the equations considered, including linear, logarithmic, polynomial, and p作者: MUTE 時間: 2025-3-28 06:23 作者: Anthropoid 時間: 2025-3-28 10:49 作者: Insatiable 時間: 2025-3-28 14:48 作者: Scintigraphy 時間: 2025-3-28 21:27
A Generic Framework for?Ransomware Prediction and Classification with Artificial Neural Networkslicious software that encrypts all the user’s data or system and demands a ransom payment for decryption. Despite various machine learning approaches proposed for ransomware detection, they often fail to identify those threats accurately in time, thus leading to data loss and victimization. This res作者: 希望 時間: 2025-3-29 01:56
Leveraging Gamification for Engaged Learning in Online Teaching and Learning Experienceslearning (TnL). This article explores the transformative power of gamification in online education, shedding light on its capacity to ignite motivation, enhance engagement, and facilitate meaningful learning experiences. Traditional education paradigms have expanded, requiring educators to guide stu作者: Axillary 時間: 2025-3-29 06:03
Sentiment Analysis Using Large Language Models: A Case Study of GPT-3.5emotions and viewpoints of individuals on social media platforms. This area of research has undergone extensive investigation, leading to the integration of diverse algorithms and techniques specifically tailored to this objective. A recent breakthrough in the field of general AI is exemplified by L作者: 松緊帶 時間: 2025-3-29 09:06 作者: AORTA 時間: 2025-3-29 12:15 作者: 擴(kuò)張 時間: 2025-3-29 16:27 作者: COLIC 時間: 2025-3-29 21:52 作者: modish 時間: 2025-3-30 01:04
The Impact of Clustering-Based Sequential Multivariate Outliers Detection in Handling Missing Values of the dataset that can be utilized and degrade the statistical power of the analysis. A significant focus in numerous studies has been directed toward the methods of missing value imputation. In cases where the dataset includes outliers, the imputation of missing values might be incorrect or signi作者: PRISE 時間: 2025-3-30 06:00 作者: Affectation 時間: 2025-3-30 08:45
Human Factors Psychology in Surgerynships. In the experiment, we conducted the tests with various Indonesian pre-trained BERT models to enhance the performance of multi-aspect extraction on Indonesian hotel reviews. Our findings indicate that . pre-trained model can improve the classifier performance and achieve an impressive F1-scor作者: 搖擺 時間: 2025-3-30 16:16 作者: 思考 時間: 2025-3-30 18:49
Purchasing, Sales and LogisticsUGE score is computed for the generated summaries against the reference summaries to analyse the performance of the model. Our results show that GPT-3.5 performs slightly better in summarizing scientific articles as compared to news articles with an average ROUGE score of 0.35 and 0.31, respectively作者: capsaicin 時間: 2025-3-30 21:12 作者: Defraud 時間: 2025-3-31 01:11
Limit Performances and Queuing Effects, FaceNet, and ST-GCN, to deliver targeted outcomes. Our evaluation of URSA’s performance, conducted with video footage from bustling areas like college campuses and railway stations, underscores its exceptional accuracy in handling challenging real-world scenarios.作者: 執(zhí)拗 時間: 2025-3-31 05:51
https://doi.org/10.1007/978-3-540-36874-8image utilized. A total of 530 website images were collected with 272 fraud website images and 258 fraud website images. The websites are partitioned into 80% (370 images) samples as training set, 10% (80 images) samples as testing set, and the rest 10% (80 images) samples as validation set. Three C作者: saphenous-vein 時間: 2025-3-31 11:00
The Classical Number Domains Z, Q, R, and Ction of ransomware and compared the performance of artificial neural networks (ANN) and deep neural networks (DNN) in terms of accurately classifying ransomware and goodware. The suggested framework secured an accuracy of 98.56% with ANNs, and achieved a slightly better performance (99.06%) when ANN作者: 和音 時間: 2025-3-31 17:06 作者: 食草 時間: 2025-3-31 20:24 作者: Robust 時間: 2025-3-31 23:45
https://doi.org/10.1007/b138337, and text by merging and complementing aspects traditionally handled by humans with those typically handled by deep learning. During the study, three popular multimodal emotion recognition datasets, IEMOCAP, CMU-MOSI, and CMU-MOSEI, are analyzed and ranked based on their quality. This study will he作者: 詢問 時間: 2025-4-1 02:50
https://doi.org/10.1007/b138337or the KNN classifier which performed poorly getting the macro-average F1-score of 21%. BERT classifier with Ekman taxonomy including neutral emotion had a macro-average precision of 55% and a sensitivity of 68%. This classifier also outperformed the macro-average F1-score by 106 61%. While the RoBE作者: 纖細(xì) 時間: 2025-4-1 09:53 作者: pericardium 時間: 2025-4-1 13:16
Multi-aspect Extraction in Indonesian Reviews Through Multi-label Classification Using Pre-trained Bnships. In the experiment, we conducted the tests with various Indonesian pre-trained BERT models to enhance the performance of multi-aspect extraction on Indonesian hotel reviews. Our findings indicate that . pre-trained model can improve the classifier performance and achieve an impressive F1-scor
