標(biāo)題: Titlebook: Applied Informatics; 7th International Co Hector Florez,Hernán Astudillo Conference proceedings 2025 The Editor(s) (if applicable) and The [打印本頁(yè)] 作者: Nutraceutical 時(shí)間: 2025-3-21 18:45
書目名稱Applied Informatics影響因子(影響力)
書目名稱Applied Informatics影響因子(影響力)學(xué)科排名
書目名稱Applied Informatics網(wǎng)絡(luò)公開度
書目名稱Applied Informatics網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Applied Informatics被引頻次
書目名稱Applied Informatics被引頻次學(xué)科排名
書目名稱Applied Informatics年度引用
書目名稱Applied Informatics年度引用學(xué)科排名
書目名稱Applied Informatics讀者反饋
書目名稱Applied Informatics讀者反饋學(xué)科排名
作者: 分開如此和諧 時(shí)間: 2025-3-21 22:36 作者: Bereavement 時(shí)間: 2025-3-22 00:35 作者: 教育學(xué) 時(shí)間: 2025-3-22 05:27
Deep Convolutional Neural Network for?Autonomic Function Estimation in?Intensive Care Patientsent options. We implemented a?novel convolutional neural network (CNN) algorithm to categorize?the status of the autonomic nervous system (ANS) into three classes: basal state (BS) without any system dominance, sympathetic nervous system dominance state (SDS), and parasympathetic nervous system domi作者: somnambulism 時(shí)間: 2025-3-22 11:58 作者: 成績(jī)上升 時(shí)間: 2025-3-22 14:11 作者: 旁觀者 時(shí)間: 2025-3-22 20:47 作者: 發(fā)現(xiàn) 時(shí)間: 2025-3-23 00:30
NetScribed: A Deep Learning Approach for?Machine-Based Melody Transcription of?Audio Filesic representation. This paper uses?deep learning methods and models AMT as a translation problem, comparing the effectiveness of an instance-based translation approach using?an MLP to a sequence-based approach using an RNN. The models?were trained on the EsAc dataset and evaluated using MUSTER metri作者: cleaver 時(shí)間: 2025-3-23 03:36
Safeguarding Patient Data: Advanced Security in Wireless Body Area Networks and AI-Driven HealthcareAN allows for the real-time transmission of patient information to healthcare providers, reducing the need for constant in-person monitoring and hospital stays for data collection. However, WBAN technology is vulnerable to significant cybersecurity risks, such as eavesdropping and man-in-the-middle 作者: 難理解 時(shí)間: 2025-3-23 08:19
YOLO Convolutional Neural Network for?Building Damage Detection in?Hydrometeorological Disasters Usipid onset, and significant destructive capacity. Consequently, countries invest substantial resources?in implementing pre- and post-disaster measures, including prevention, and reconstruction. Developing countries, however, face stronger budgetary constraints and continuously depend on international作者: 四目在模仿 時(shí)間: 2025-3-23 12:35
Extraction and Selection of Multi-omic Features for the Breast Cancer Survival Predictionanifesting in diverse clinical outcomes influenced by its intricate molecular characteristics. Accurate survival prediction for breast cancer patients is essential for guiding treatment strategies and improving their outcomes, which drives the exploration of various -omics datasets through advanced 作者: 遍及 時(shí)間: 2025-3-23 15:38 作者: 賄賂 時(shí)間: 2025-3-23 18:44 作者: 排斥 時(shí)間: 2025-3-24 00:45 作者: BET 時(shí)間: 2025-3-24 05:49 作者: LIMIT 時(shí)間: 2025-3-24 07:05
https://doi.org/10.1007/978-981-13-2059-0le of distinguishing between coriander and parsley leaves. Three architectures (MobileNetV2, EfficientNetB0 and InceptionV3) were evaluated to determine which offered the highest accuracy. MobileNetV2 proved to be the most efficient model, demonstrating superior stability and achieving greater than 99% accuracy.作者: Indecisive 時(shí)間: 2025-3-24 10:40
People Management in the Public Sector,cs.?The results show that the instance-based model better classifies?the correct pitch. However, the sequence-based approach outperforms?the instance-based approach on all other aspects of the MUSTER metrics, producing a 98% accuracy.作者: 畸形 時(shí)間: 2025-3-24 18:05 作者: 散步 時(shí)間: 2025-3-24 21:14
Conference proceedings 2025d in Vina del Mar, Chile, during October 24–26, 2024...The 39 full papers presented in these proceedings were carefully reviewed and selected from 123 submissions. The papers were organized in the following topical sections:..Part I -?Artificial Intelligence;?Bioinformatics;?Cloud Computing;?Data An作者: 防御 時(shí)間: 2025-3-25 02:43 作者: BATE 時(shí)間: 2025-3-25 05:50 作者: 后來(lái) 時(shí)間: 2025-3-25 11:34 作者: 集合 時(shí)間: 2025-3-25 14:19 作者: excursion 時(shí)間: 2025-3-25 17:54 作者: Genetics 時(shí)間: 2025-3-25 20:52
NetScribed: A Deep Learning Approach for?Machine-Based Melody Transcription of?Audio Filescs.?The results show that the instance-based model better classifies?the correct pitch. However, the sequence-based approach outperforms?the instance-based approach on all other aspects of the MUSTER metrics, producing a 98% accuracy.作者: 善于騙人 時(shí)間: 2025-3-26 01:57 作者: AXIOM 時(shí)間: 2025-3-26 07:45
Conference proceedings 2025alysis;?Decision Systems; and?Game Development...Part II -?Health Care Information Systems;?Interdisciplinary Information Studies;?Learning Management Systems;?Natural Language Processing;?Social and Behavioral Applications;?Software and Systems Modeling; and?Software Architectures..作者: 耕種 時(shí)間: 2025-3-26 10:28
https://doi.org/10.1007/978-981-13-2059-0rning models. Results indicated that the U-Net transfer learning model achieved the highest precision in segmenting the tumor core and invasive margin regions with intersection over union scores of 0.94 and 0.88 respectively. However reduced performance was noted in underrepresented regions, emphasi作者: 藕床生厭倦 時(shí)間: 2025-3-26 13:52 作者: 滲入 時(shí)間: 2025-3-26 20:12 作者: Outmoded 時(shí)間: 2025-3-26 23:26
https://doi.org/10.1007/978-981-13-2059-0ative potential of deep learning in augmenting clinical decision-making for oral cancer detection. Integration of?these advanced technologies into healthcare workflows could significantly improve early detection rates and treatment outcomes, paving the?way for personalized medicine approaches in onc作者: 悲痛 時(shí)間: 2025-3-27 01:46 作者: 水獺 時(shí)間: 2025-3-27 07:24 作者: Jargon 時(shí)間: 2025-3-27 13:09 作者: osteoclasts 時(shí)間: 2025-3-27 16:20 作者: incredulity 時(shí)間: 2025-3-27 18:06
Ghada El-Kot,Mike Leat,Shaimaa Masryssionals’ perspectives on this topic?and compare these perspectives with the knowledge found in?the literature. Finally, we developed a Proof-of-Concept (PoC) of?a decision support tool using a Large Language Model (LLM)?that provides targeted responses to questions about migrating legacy systems to作者: 鴿子 時(shí)間: 2025-3-27 23:17
Oestrogen Deficiency and the Bladderthe nutritional status of children globally. The presented proof of concept displays?a framework in a remote region where child malnutrition is endemic, and the proposed technological platform supports the operation?with real-time reporting and data analytics on demand.作者: Intrepid 時(shí)間: 2025-3-28 03:07
Psychological Effects of the Menopause for chronic diseases such as hypertension and dia-betes. In the emergency department, consultations for trauma and poisoning pre-dominated, with a strong association with the female gender, suggesting possible implications of gender violence. Geographic analysis revealed that proximity to the healt作者: antiandrogen 時(shí)間: 2025-3-28 09:13
Artificial Intelligence-Based Quantification and Prognostic Assessment of CD3, CD8, CD146, and PDGF-rning models. Results indicated that the U-Net transfer learning model achieved the highest precision in segmenting the tumor core and invasive margin regions with intersection over union scores of 0.94 and 0.88 respectively. However reduced performance was noted in underrepresented regions, emphasi作者: 不舒服 時(shí)間: 2025-3-28 12:59 作者: 沙草紙 時(shí)間: 2025-3-28 18:08 作者: Boycott 時(shí)間: 2025-3-28 18:46 作者: 長(zhǎng)處 時(shí)間: 2025-3-28 23:22
MultiMF: A?Deep Multimodal Academic Resources Recommendation Systemudy explores the integration of unstructured data, such as descriptions, and structured data, such as knowledge graphs, in the context of academic recommendation systems. We utilize?two distinct datasets: MOOCCubeX, an open MOOC dataset, and DBLPv12,?a citation network dataset, to evaluate the impac作者: insurrection 時(shí)間: 2025-3-29 03:29
Safeguarding Patient Data: Advanced Security in Wireless Body Area Networks and AI-Driven HealthcareAI systems can enhance security by detecting patterns indicative of cyber threats and deploying adaptive defenses. This study emphasizes the importance of robust security architectures and innovative AI applications to protect patient data in WBAN and CPS, ensuring secure and reliable healthcare ser作者: aphasia 時(shí)間: 2025-3-29 10:11 作者: Comprise 時(shí)間: 2025-3-29 12:23
Extraction and Selection of Multi-omic Features for the Breast Cancer Survival Predictionions, and methylation levels. These datasets are used to create and compare single- and multi-omic models capable of predicting 5-year survival rates for breast cancer. Additionally, we assess the impact of different feature selection and data aggregation techniques on patient classification accurac作者: Migratory 時(shí)間: 2025-3-29 19:20 作者: maroon 時(shí)間: 2025-3-29 22:55
Improvement of?Acute and?Chronic Nutritional Status by?Supplying a?Metabolic Biostimulator to?Childrthe nutritional status of children globally. The presented proof of concept displays?a framework in a remote region where child malnutrition is endemic, and the proposed technological platform supports the operation?with real-time reporting and data analytics on demand.作者: HATCH 時(shí)間: 2025-3-30 02:44 作者: 矛盾心理 時(shí)間: 2025-3-30 05:17
https://doi.org/10.1007/978-981-13-2059-0curate artificial intelligence models are crucial for medical applications such as diagnosis and prognosis of this major disease, which represents a growing cause of death worldwide and in Argentina. In low and middle-income countries such as our own, access to automatic image analysis platforms is 作者: 官僚統(tǒng)治 時(shí)間: 2025-3-30 09:06
https://doi.org/10.1007/978-981-13-2059-0used but often confused because of their similar appearance. This confusion can result in inexperienced or visually impaired people using the wrong herb, thus altering the flavor and unique qualities of the dishes. To address this problem, in this work, we present an image classification model capab作者: 我沒(méi)有命令 時(shí)間: 2025-3-30 13:59 作者: STALE 時(shí)間: 2025-3-30 19:44 作者: 喊叫 時(shí)間: 2025-3-30 22:34 作者: 飲料 時(shí)間: 2025-3-31 02:23 作者: 水土 時(shí)間: 2025-3-31 06:50 作者: Dealing 時(shí)間: 2025-3-31 12:30
People Management in the Public Sector,ic representation. This paper uses?deep learning methods and models AMT as a translation problem, comparing the effectiveness of an instance-based translation approach using?an MLP to a sequence-based approach using an RNN. The models?were trained on the EsAc dataset and evaluated using MUSTER metri
