標(biāo)題: Titlebook: Engineering Applications of Neural Networks; 25th International C Lazaros Iliadis,Ilias Maglogiannis,Chrisina Jayne Conference proceedings [打印本頁] 作者: GLAZE 時(shí)間: 2025-3-21 17:13
書目名稱Engineering Applications of Neural Networks影響因子(影響力)
書目名稱Engineering Applications of Neural Networks影響因子(影響力)學(xué)科排名
書目名稱Engineering Applications of Neural Networks網(wǎng)絡(luò)公開度
書目名稱Engineering Applications of Neural Networks網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Engineering Applications of Neural Networks被引頻次
書目名稱Engineering Applications of Neural Networks被引頻次學(xué)科排名
書目名稱Engineering Applications of Neural Networks年度引用
書目名稱Engineering Applications of Neural Networks年度引用學(xué)科排名
書目名稱Engineering Applications of Neural Networks讀者反饋
書目名稱Engineering Applications of Neural Networks讀者反饋學(xué)科排名
作者: FORGO 時(shí)間: 2025-3-21 23:35 作者: 百科全書 時(shí)間: 2025-3-22 02:26
https://doi.org/10.1007/978-1-4615-4997-0RL (reinforcement learning) for this task. In total, we compare six different RL algorithms. The utilized algorithms are Q-Learning, MAB (Multi-Armed Bandit), MCTS (Monte Carlo Tree Search), DQN (Deep Q Learning), A2C (Advantage Actor Critic), and PPO (Proximal Policy Optimization). Almost all algor作者: Mri485 時(shí)間: 2025-3-22 04:45 作者: 積云 時(shí)間: 2025-3-22 12:11 作者: 迅速飛過 時(shí)間: 2025-3-22 15:12 作者: 迅速飛過 時(shí)間: 2025-3-22 17:02
https://doi.org/10.1007/978-3-7091-5551-6niversal threshold for table selection. To validate this innovative approach, a custom dataset was curated, leveraging the Spider dataset for NLQ-to-SQL tasks, and a comprehensive set of experiments was conducted using various language models, including GPT-4, GPT-3.5, and DeBERTa..Results demonstra作者: minion 時(shí)間: 2025-3-23 00:54 作者: 財(cái)政 時(shí)間: 2025-3-23 04:10 作者: dictator 時(shí)間: 2025-3-23 05:35 作者: 極大痛苦 時(shí)間: 2025-3-23 13:39
An Autoencoder-Based Approach for?Anomaly Detection of?Machining Processes Using Acoustic Emission Stection of CNC machining processes is presented. To this end, acoustic emission signals of a real-world use case are considered. To prove the effectiveness of the proposed system, a comparison with an Isolation Forest algorithm, a well-known benchmark in this field, is made. The results show an impr作者: Confirm 時(shí)間: 2025-3-23 14:02 作者: 使服水土 時(shí)間: 2025-3-23 20:24
Deep Echo State Networks for?Modelling of?Industrial Systemsel of each tank. We conducted numerical experiments to examine how the performance of the predictions is affected by the number of layers. Our findings indicate that increasing the number of recurrent layers leads to better predictions, and also highlight noteworthy differences in the dynamics of th作者: 遠(yuǎn)地點(diǎn) 時(shí)間: 2025-3-23 22:45
Empirical Insights into?Deep Learning Models for?Misinformation Classification Within Constrained DaOur findings suggest that training language models on smaller datasets while considering key indicators of performance like model architecture and learned representation transfer is more beneficial than pre-training the models with past, related data.作者: 大火 時(shí)間: 2025-3-24 05:49
Enhancing Bandwidth Efficiency for?Video Motion Transfer Applications Using Deep Learning Based Keypion with VRNN based prediction for both video animation and reconstruction is demonstrated on three diverse datasets. For real-time applications, our results show the effectiveness of our proposed architecture by enabling up to 2. additional bandwidth reduction over existing keypoint based video mot作者: ALERT 時(shí)間: 2025-3-24 07:22 作者: 向宇宙 時(shí)間: 2025-3-24 11:48
HEADS: Hybrid Ensemble Anomaly Detection System for Internet-of-Things Networks improve the voting strategy for ensemble learning. The ensemble prediction is assisted by a Random Forest-based model obtained through the best F1 score for each label through dataset subset selection. The efficiency of HEADS is evaluated using the publicly available CICIoT2023 dataset. The evaluat作者: Irritate 時(shí)間: 2025-3-24 17:53 作者: metropolitan 時(shí)間: 2025-3-24 22:54
1865-0929 5 submissions. They deal with reinforcement; natural language; biomedical applications; classificaiton; deep learning; convolutional neural networks.?.978-3-031-62494-0978-3-031-62495-7Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: BIPED 時(shí)間: 2025-3-25 00:08
1865-0929 24, held in Corfu, Greece, during June 27-30, 2024.?..The 41 full and 2 short papers included in this book were carefully reviewed and selected from 85 submissions. They deal with reinforcement; natural language; biomedical applications; classificaiton; deep learning; convolutional neural networks.?作者: endure 時(shí)間: 2025-3-25 05:44
Manipulation of Single DNA Molecules,he proposed architecture in accurately estimating these parameters is demonstrated. This research signifies a significant stride towards enhancing our understanding of Binary Black Hole phenomena and underscores the transformative role of Artificial Intelligence in observational astrophysics.作者: ANNUL 時(shí)間: 2025-3-25 08:17 作者: agitate 時(shí)間: 2025-3-25 13:48
https://doi.org/10.1007/978-3-540-31372-4sfully employed on the . dataset, achieving extremely high-performance indices (. in all Training, Validation and Testing phases. This multiclass classification effort followed the One-Versus all Strategy.作者: Loathe 時(shí)間: 2025-3-25 18:47 作者: Magisterial 時(shí)間: 2025-3-25 23:57
Binary Black Hole Parameter Estimation from?Gravitational Waves with?Deep Learning Methodshe proposed architecture in accurately estimating these parameters is demonstrated. This research signifies a significant stride towards enhancing our understanding of Binary Black Hole phenomena and underscores the transformative role of Artificial Intelligence in observational astrophysics.作者: 文藝 時(shí)間: 2025-3-26 03:21
Exploiting LMM-Based Knowledge for?Image Classification Taskss, we use both the image and text embeddings for solving the image classification task. The experimental evaluation on three datasets validates the improved classification performance achieved by exploiting LMM-based knowledge, delivering for example on the UCF-101 dataset an improvement of almost 2%.作者: visual-cortex 時(shí)間: 2025-3-26 04:47
HEDL-IDS2: An Innovative Hybrid Ensemble Deep Learning Prototype for Cyber Intrusion Detectionsfully employed on the . dataset, achieving extremely high-performance indices (. in all Training, Validation and Testing phases. This multiclass classification effort followed the One-Versus all Strategy.作者: 深陷 時(shí)間: 2025-3-26 09:34 作者: bypass 時(shí)間: 2025-3-26 16:19
Conference proceedings 2024n Corfu, Greece, during June 27-30, 2024.?..The 41 full and 2 short papers included in this book were carefully reviewed and selected from 85 submissions. They deal with reinforcement; natural language; biomedical applications; classificaiton; deep learning; convolutional neural networks.?.作者: 字的誤用 時(shí)間: 2025-3-26 20:06
Thin dielectric films stress extraction process involves adopting ResNet-50 and a Multiple Criteria Decision Making-based recommender system to tune the learning rate of the neural network models on which the system is based. Results show that our proposed approach leads to a system that outperforms the existing similar systems.作者: 確保 時(shí)間: 2025-3-27 00:23 作者: 合適 時(shí)間: 2025-3-27 03:41
Micromachined Resonators and Circuits,hat with equal annotation effort aggregated uncertainties across image augmentations yield improved results compared to a baseline without augmentations, however certain configurations can be detrimental for the performance of the resulting model.作者: Vldl379 時(shí)間: 2025-3-27 05:46
Review of Microinjection Systems,ills. This research contributes to our understanding of how practical LLMs are in real-world information extraction tasks and highlights the differences in performance among various state-of-the-art models.作者: CHAFE 時(shí)間: 2025-3-27 12:33
https://doi.org/10.1007/978-1-4471-4597-4aller than that found in the selected traditional architectures for this study. It shows the potential of the Q-NAS algorithm and highlights the importance of efficient model design in the context of accurate and feature-aware medical image analysis.作者: MIR 時(shí)間: 2025-3-27 17:11
James D. Lee,Jiaoyan Li,Zhen Zhang,Leyu Wangsion Trees emerged as the most effective, each achieving an accuracy of 82%. This study not only underscores the potential of machine learning in medical diagnostics but also paves the way for more accessible and efficient screening methods for neurodevelopmental disorders.作者: Dawdle 時(shí)間: 2025-3-27 18:27
Active Learning with?Aggregated Uncertainties from?Image Augmentationshat with equal annotation effort aggregated uncertainties across image augmentations yield improved results compared to a baseline without augmentations, however certain configurations can be detrimental for the performance of the resulting model.作者: 拍下盜公款 時(shí)間: 2025-3-27 23:45 作者: 基因組 時(shí)間: 2025-3-28 05:23
Comparative Study Between Q-NAS and?Traditional CNNs for?Brain Tumor Classificationaller than that found in the selected traditional architectures for this study. It shows the potential of the Q-NAS algorithm and highlights the importance of efficient model design in the context of accurate and feature-aware medical image analysis.作者: lethal 時(shí)間: 2025-3-28 06:23 作者: osteopath 時(shí)間: 2025-3-28 12:01
978-3-031-62494-0The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: 頭腦冷靜 時(shí)間: 2025-3-28 15:49
Engineering Applications of Neural Networks978-3-031-62495-7Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: Compassionate 時(shí)間: 2025-3-28 20:43
https://doi.org/10.1007/978-3-031-62495-7deep learning; generative AI; cybersecurity; data mining; machine learning; anomaly detection; recommendat作者: BULLY 時(shí)間: 2025-3-29 00:09 作者: 廣告 時(shí)間: 2025-3-29 05:09
Example Application of Scanning Mirrors,ent computational constraints. The main aim is to improve performance and outcomes by fine-tuning the LDA model’s alpha, beta, and topic parameters in the Mallet implementation. The difficulty comes from the time-consuming task of manually adjusting hyperparameters and the high computational expense作者: neologism 時(shí)間: 2025-3-29 07:31
https://doi.org/10.1007/978-981-97-3295-1ng strong interest on artificial intelligence, particularly when the world of Internet-of-Things is considered. Managing and monitoring this data flow is crucial in machining processes, where the health of the system is assessed through the analysis of different sources, such as vibration, temperatu作者: 剝皮 時(shí)間: 2025-3-29 11:24 作者: 法律 時(shí)間: 2025-3-29 17:54
https://doi.org/10.1007/978-1-4615-4997-0. pam-4 encodes two bits of data using four different voltage levels. Compared to conventional NRZ (non-return-to-zero) encoding, which employs two voltage levels to represent one bit of information, pam-4 is a more effective technique to convey data. However, not every pam-4 sequence is equally eas作者: happiness 時(shí)間: 2025-3-29 21:39 作者: 善于騙人 時(shí)間: 2025-3-30 00:17 作者: 卡死偷電 時(shí)間: 2025-3-30 05:58
https://doi.org/10.1007/978-1-4471-4597-4n recent years, many works and applications have observed the use of Artificial Intelligence-based models using Convolution Neural Networks (CNNs) to identify health problems using images. In our study, we searched for new architectures based on CNN using the Q-NAS algorithm. We compared its perform作者: decipher 時(shí)間: 2025-3-30 09:16 作者: Proclaim 時(shí)間: 2025-3-30 13:36 作者: Digitalis 時(shí)間: 2025-3-30 16:49 作者: GRACE 時(shí)間: 2025-3-30 23:42
https://doi.org/10.1007/978-3-7091-5551-6ling users to interact seamlessly with structured databases using natural language queries (NLQs). Existing NLQ-to-SQL models primarily approach this as a translation problem, converting NLQs into SQL queries for database interaction. However, challenges arise when dealing with extensive databases c作者: 很像弓] 時(shí)間: 2025-3-31 01:18
