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標(biāo)題: Titlebook: Data Science and Artificial Intelligence; Second International Chutiporn Anutariya,Marcello M. Bonsangue,Opim Sal Conference proceedings 20 [打印本頁]

作者: eternal    時間: 2025-3-21 16:26
書目名稱Data Science and Artificial Intelligence影響因子(影響力)




書目名稱Data Science and Artificial Intelligence影響因子(影響力)學(xué)科排名




書目名稱Data Science and Artificial Intelligence網(wǎng)絡(luò)公開度




書目名稱Data Science and Artificial Intelligence網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Data Science and Artificial Intelligence被引頻次




書目名稱Data Science and Artificial Intelligence被引頻次學(xué)科排名




書目名稱Data Science and Artificial Intelligence年度引用




書目名稱Data Science and Artificial Intelligence年度引用學(xué)科排名




書目名稱Data Science and Artificial Intelligence讀者反饋




書目名稱Data Science and Artificial Intelligence讀者反饋學(xué)科排名





作者: 媒介    時間: 2025-3-21 23:43
Die Seele in der romantischen Medizin,ng a dysarthria dataset comprising individuals with Cerebral Palsy (CP), a prevalent cause of dysarthria. Our findings demonstrate the superior performance of our speech recognition system compared to ASR system trained on normal speech data. The system was evaluated in three scenarios: initial, per
作者: 仇恨    時間: 2025-3-22 01:28

作者: 破布    時間: 2025-3-22 06:23
data on employment and educational background. Various machine learning algorithms, such as Logistic Regression, Random Forest, Decision Tree, Support Vector Machine, and Adaptive Boosting are utilized and compared. Cross-validation techniques, including stratified 10-fold cross-validation, are app
作者: Deadpan    時間: 2025-3-22 11:40
,Die Energie-Massenbeziehung: E?=?Mc2,ating test case generation. This automation aims to enhance both the breadth and accuracy of tests and facilitate the creation of complex test scenarios. Experimental results indicate significant advancements in software testing methodologies compared to traditional methods such as Boundary Value An
作者: 初學(xué)者    時間: 2025-3-22 15:07
https://doi.org/10.1007/978-3-663-06822-8 questionnaires. The questionnaire was divided into two parts: the first part collected general demographic information, such as age, gender, academic background, and job tenure; the second part focused on capturing data for the Mathematical-Logic based evaluation of the efficiency levels in collect
作者: 初學(xué)者    時間: 2025-3-22 18:22
https://doi.org/10.1007/978-3-663-19713-3employ transfer learning on a curriculum from small to larger levels. We empirically validated this in a 3D vector-based environment, where the objective is to generate free-form tracks that facilitate a rider to move between designated points in the same vain as the flash game hit “Linerider”.
作者: trigger    時間: 2025-3-23 00:38
ents in artificial general intelligence offer promising solutions to address computational challenges and improve coordination, the issue of generalization remains a significant hurdle for AI. Our research highlights the role of human experience and knowledge in interacting with open world games. By
作者: Pigeon    時間: 2025-3-23 01:52
e heterogeneously ensembled to create this framework. It was compared with individual ML models built from same algorithms, which are considered cost insensitive as they neglect the varying misclassification costs. EEG data that classifies students as confused and non-confused during learning were u
作者: Malcontent    時間: 2025-3-23 06:31
solution optimized for resource-constrained devices by leveraging a lightweight variant of stochastic gradient descent (SGD) called L-SGD. L-SGD is tailored for maximum speed and minimal memory usage on the Arm Cortex-M MCU family, including Arm Cortex-M7, Arm Cortex-M4, and Arm Cortex-M0+. For full
作者: patriot    時間: 2025-3-23 11:14

作者: Pepsin    時間: 2025-3-23 14:19

作者: elucidate    時間: 2025-3-23 19:40

作者: PHAG    時間: 2025-3-23 23:56

作者: Diuretic    時間: 2025-3-24 02:40
Dysarthric Speech Recognition System with?Life-Long Learning Technique in?Taiwanese Mandarinng a dysarthria dataset comprising individuals with Cerebral Palsy (CP), a prevalent cause of dysarthria. Our findings demonstrate the superior performance of our speech recognition system compared to ASR system trained on normal speech data. The system was evaluated in three scenarios: initial, per
作者: disrupt    時間: 2025-3-24 07:40

作者: 空氣傳播    時間: 2025-3-24 14:05

作者: 夸張    時間: 2025-3-24 18:31

作者: 同來核對    時間: 2025-3-24 22:19

作者: 喃喃而言    時間: 2025-3-24 23:40
Scalable Procedural Content Generation via?Transfer Reinforcement Learningemploy transfer learning on a curriculum from small to larger levels. We empirically validated this in a 3D vector-based environment, where the objective is to generate free-form tracks that facilitate a rider to move between designated points in the same vain as the flash game hit “Linerider”.
作者: HALO    時間: 2025-3-25 06:56
Challenges of?Open World Games for?AI: Insights from?Human Gameplayents in artificial general intelligence offer promising solutions to address computational challenges and improve coordination, the issue of generalization remains a significant hurdle for AI. Our research highlights the role of human experience and knowledge in interacting with open world games. By
作者: Extemporize    時間: 2025-3-25 09:39
Cost Sensitive Ensemble Learning Framework for EEG- Based Emotion Recognitione heterogeneously ensembled to create this framework. It was compared with individual ML models built from same algorithms, which are considered cost insensitive as they neglect the varying misclassification costs. EEG data that classifies students as confused and non-confused during learning were u
作者: 發(fā)牢騷    時間: 2025-3-25 13:17

作者: Slit-Lamp    時間: 2025-3-25 16:21
IA&AI: Interference Analysis in?Multi-core Embedded AI Systemsprovide spatial and temporal isolation features. This paper discusses the impact of MCS consolidation on AI-based applications. The setup uses the Bao hypervisor to deploy two virtual machines (VMs): one VM hosting TensorFlow Lite to run AI workloads on a Linux system, and the other supporting a bar
作者: 概觀    時間: 2025-3-25 22:19
Enhancing Automotive Products with?TinyML and?MEMS Sensors: A?Preliminary Approachpose a methodology to guarantee accurate labelling of the datasets, as well as our preliminary approach to the classification model. The Random Forests classifier, implemented alongside Principal Component Analysis (PCA) to reduce the dimensionality of the dataset and Synthetic Minority Oversampling
作者: Palpate    時間: 2025-3-26 01:40

作者: faucet    時間: 2025-3-26 05:52
es in play intensity. Results revealed that the presence of another avatar led to less intense play compared to solo play. Disclosure of the avatar as AI heightened effort intensity compared to non-disclosed AI companions. Additionally, a masculine AI appearance reduced effort intensity.
作者: 抱怨    時間: 2025-3-26 12:28
Conference proceedings 2025igence, DSAI 2024, held in Medan, Indonesia, during November 13–15, 2024...The 18 full papers, 2 short papers and 3 invited talks were included in this book were carefully reviewed and selected from 69 submissions. They are organized in the following topical sections:?Keynote Presentations; Natural
作者: BALK    時間: 2025-3-26 12:41
1865-0929 ial Intelligence, DSAI 2024, held in Medan, Indonesia, during November 13–15, 2024...The 18 full papers, 2 short papers and 3 invited talks were included in this book were carefully reviewed and selected from 69 submissions. They are organized in the following topical sections:?Keynote Presentations
作者: 拋射物    時間: 2025-3-26 18:30

作者: 可耕種    時間: 2025-3-26 22:10
1865-0929 ; Natural and Sign Language Processing; Applications of Data Science and Artificial Intelligence; Affective Computing and AI Games; Embedded AI and Applications; Data Science; AI and Healthcare..978-981-97-9792-9978-981-97-9793-6Series ISSN 1865-0929 Series E-ISSN 1865-0937
作者: AORTA    時間: 2025-3-27 04:16

作者: 鐵砧    時間: 2025-3-27 05:20

作者: 違反    時間: 2025-3-27 11:04

作者: 皮薩    時間: 2025-3-27 14:10
Dysarthric Speech Recognition System with?Life-Long Learning Technique in?Taiwanese Mandarindistortions, and limited training data. These difficulties impact accuracy and intelligibility, requiring personalized approaches for improved Dysarthric Speech Recognition (DSR). We propose a DSR approach using acoustic models and data augmentation techniques in life-long learning. Our approach com
作者: commune    時間: 2025-3-27 17:55

作者: objection    時間: 2025-3-27 22:30

作者: tariff    時間: 2025-3-28 03:23
Navigating Free Online IT Courses: A Study of Completion in open.uom.lk platform was created as a response to the expanding need for human capital in Sri Lanka’s IT sector, which is one of the few industries that has shown robust growth despite the country’s recent economic crisis. Over 270,000 students have registered in its flagship course, Trainee Full-Stack Develop
作者: progestogen    時間: 2025-3-28 09:11

作者: Grievance    時間: 2025-3-28 14:09

作者: SUE    時間: 2025-3-28 17:19

作者: 專橫    時間: 2025-3-28 22:40

作者: 高興去去    時間: 2025-3-28 23:12
The Impact of?AI Avatar Appearance and?Disclosure on?User Motivationch, we explore how AI disclosure and AI avatar gender affect user motivation. We conducted a game-based experiment involving over 72,500 participants who solved search problems alone or with an AI companion. Different groups experienced varying AI appearances and disclosures, observing the differenc
作者: 禁令    時間: 2025-3-29 04:16
Cost Sensitive Ensemble Learning Framework for EEG- Based Emotion Recognitionrediction errors/ misclassifications made in the form of costs. Varying consequences of misclassification costs are often overlooked in existing research that uses standard metrics such as prediction accuracy leading to suboptimal performances in real-world settings. This paper emphasizes the need o
作者: SENT    時間: 2025-3-29 09:09

作者: 易受騙    時間: 2025-3-29 12:08

作者: Annotate    時間: 2025-3-29 18:54
Enhancing Automotive Products with?TinyML and?MEMS Sensors: A?Preliminary Approachmicrocontrollers. Despite major challenges related to hardware constraints, TinyML has been expanding the scope of applications in several domains, with the automotive industry taking special interest in these models for their potential to enhance existing Advanced Driver Assistance Systems (ADAS).
作者: 制定    時間: 2025-3-29 20:04
https://doi.org/10.1007/978-981-97-9793-6Foundations of Data Science and Artificial Intelligence; Data Mining; Machine Learning; Deep Learning; I
作者: Hirsutism    時間: 2025-3-30 02:00
978-981-97-9792-9The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
作者: 規(guī)章    時間: 2025-3-30 06:15
Communications in Computer and Information Sciencehttp://image.papertrans.cn/e/image/284450.jpg
作者: Soliloquy    時間: 2025-3-30 10:31

作者: AWL    時間: 2025-3-30 16:01
Hermann Johannes Karl Fehling (1847–1925)growth of users and submitted reporting documents (named: Aksi Nyata). These documents require validation for users to receive formal certificates from the Ministry of Education. Manual checking by human validators proved unsustainable with the rapid increase in document submissions. To overcome wit
作者: notice    時間: 2025-3-30 18:15
Die Seele in der romantischen Medizin,distortions, and limited training data. These difficulties impact accuracy and intelligibility, requiring personalized approaches for improved Dysarthric Speech Recognition (DSR). We propose a DSR approach using acoustic models and data augmentation techniques in life-long learning. Our approach com
作者: arrogant    時間: 2025-3-31 00:05
a triple of a background, documents and a summary where background describes clinical research question or topics shared by related documents. To summarize based on a background, existing approaches typically reduce text units through truncation disregarding potential summary-relevant information. O
作者: MUTE    時間: 2025-3-31 00:59
https://doi.org/10.1007/978-3-642-86362-2 (LSTM) classifier. MediaPipe introduced by Google [.] is used to obtain posture landmarks where a custom dataset has been created and used for the experimental study. Ten sign words were considered from the ASL: hello, iloveyou, thanks, google, internet, jogging, house, book, drink and drive. The p
作者: employor    時間: 2025-3-31 05:22
platform was created as a response to the expanding need for human capital in Sri Lanka’s IT sector, which is one of the few industries that has shown robust growth despite the country’s recent economic crisis. Over 270,000 students have registered in its flagship course, Trainee Full-Stack Develop




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