標題: Titlebook: Intelligent Systems and Applications; Proceedings of the 2 Kohei Arai Conference proceedings 2024 The Editor(s) (if applicable) and The Aut [打印本頁] 作者: 建筑物的正面 時間: 2025-3-21 19:19
書目名稱Intelligent Systems and Applications影響因子(影響力)
書目名稱Intelligent Systems and Applications影響因子(影響力)學科排名
書目名稱Intelligent Systems and Applications網(wǎng)絡公開度
書目名稱Intelligent Systems and Applications網(wǎng)絡公開度學科排名
書目名稱Intelligent Systems and Applications被引頻次
書目名稱Intelligent Systems and Applications被引頻次學科排名
書目名稱Intelligent Systems and Applications年度引用
書目名稱Intelligent Systems and Applications年度引用學科排名
書目名稱Intelligent Systems and Applications讀者反饋
書目名稱Intelligent Systems and Applications讀者反饋學科排名
作者: Bernstein-test 時間: 2025-3-21 23:39 作者: arthroplasty 時間: 2025-3-22 00:50 作者: cathartic 時間: 2025-3-22 05:15 作者: mechanical 時間: 2025-3-22 10:05 作者: 無可爭辯 時間: 2025-3-22 16:33 作者: BRINK 時間: 2025-3-22 19:29
Faisal Maramazi,Afees Odebode,Ashley Mann,Stephen Swift,Mahir Arzoky作者: 冷漠 時間: 2025-3-23 00:53 作者: 山頂可休息 時間: 2025-3-23 02:04
Trong-Minh Hoang,Thanh-Tra Nguyen,Hong-Duc Nguyen,Duc-Thuan Luong,Van-Son Nguyen作者: FOVEA 時間: 2025-3-23 08:31 作者: Amorous 時間: 2025-3-23 10:35 作者: 壓倒性勝利 時間: 2025-3-23 16:37
2367-3370 provides a ready-made resource to all the readers keen on gaining information regarding the latest trends in intelligent systems. It also renders a sneak peek into the future world governed by artificial intelligence..978-3-031-47723-2978-3-031-47724-9Series ISSN 2367-3370 Series E-ISSN 2367-3389 作者: DUCE 時間: 2025-3-23 18:39 作者: 承認 時間: 2025-3-24 00:22 作者: 傲慢人 時間: 2025-3-24 04:35
Wind Turbine Data-Driven Intelligent Fault Detection, the suggested approach makes use of the complex properties included within previously collected data on wind turbines that are analogous to those presented, hence lowering the likelihood of the model being overfit. After the models have been pre-trained, they are then used to infer the behaviour of作者: majestic 時間: 2025-3-24 06:42
Enhancing Decision Support Systems for the Energy Sector with Sustainable Artificial Intelligence Sate-of-the-art AI and data analytic services for the decision makers of the energy sector. The framework will be seamlessly integrated with the AI-on-Demand platform, i.e. Europe’s one-stop-shop for AI assets. The paper introduces the I-NERGY framework and describes its bidirectional relation to the作者: 討人喜歡 時間: 2025-3-24 14:03
Gesture Recognition of Filipino Sign Language Using Convolutional and Long-Short Term Memory Neuralhe deep learning algorithm Convolutional and Long Short-Term Memory Neural Networks in system capturing of real-time signs from a signer. The proponents considered 15 signs related to common greetings and business transactions. A total of 450 video recordings were collected for the signs with each h作者: Dendritic-Cells 時間: 2025-3-24 15:20 作者: Jejune 時間: 2025-3-24 22:19 作者: crucial 時間: 2025-3-24 23:19
,Identification of?Potato Virus Y in?Potato Plants Using Deep Learning and?GradCAM Verification,ssifiers with brightness augmentations outperformed other setups. Examining the class activation mappings of shallow layers revealed a focus on either the margins and midrib or the overall texture of the leaf. This corresponds to the characteristics used by domain experts who concentrate on colour a作者: JEER 時間: 2025-3-25 03:54
,Using Simulated Data for?Deep-Learning Based Real-World Apple Detection,eed for real-world datasets, thus saving a substantial amount of time. In this research, we focused our tests on a real-world dataset acquired under controlled settings, future work can be dedicated to evaluate the generalization ability of models trained on simulated datasets on more challenging re作者: 寬度 時間: 2025-3-25 10:16
Attention-Based Recurrent Neural Network for Multicriteria Recommendations,erall ratings of users. The user‘s multicriteria ratings are the only needed data for the proposed approach. Thus, we consider every user‘s multicriteria rating given for an item as a sequence of data for that user. Extensive experiments conducted on real-world data show that the proposed method out作者: 考得 時間: 2025-3-25 11:46
Conference proceedings 2024n of all the latest research in the field of artificial intelligence and smart systems. It provides a ready-made resource to all the readers keen on gaining information regarding the latest trends in intelligent systems. It also renders a sneak peek into the future world governed by artificial intelligence..作者: dialect 時間: 2025-3-25 17:22
,Pre-trained Deep Learning Models for Chest X-Rays’ Classification: Views and Age-Groups,s, and into Anterior-Posterior (AP) or Posterior-Anterior (PA) views. On the other hand, Xception was the least favored deep learning model for the two tasks. The drawn conclusions can help add an optimal preliminary classification head to a pulmonary diseases detection model, in order to optimize its performance.作者: Panther 時間: 2025-3-25 21:29
Impact of Gender and Chest X-Ray View Imbalance in Pneumonia Classification Using Deep Learning,the Anterior-Posterior CXRs are preferred to train the model if both genders are present. the drawn up conclusions will be a valuable asset to an optimized pulmonary diseases deep learning classifier.作者: 五行打油詩 時間: 2025-3-26 01:53
Detecting Standard Library Functions in Obfuscated Code,s graph classifier is 64% accurate on its own, but does not improve accuracy when added to the ensemble. Unlike previous work, our approach works even with heavy obfuscation, an advantage we attribute to increased diversity of our training data and increased capacity of our ensemble model.作者: Occipital-Lobe 時間: 2025-3-26 06:23 作者: 嚴厲譴責 時間: 2025-3-26 09:52
YOLO-Based Object Detection in Industry 4.0 Fischertechnik Model Environment,relations that we face while preparing our dataset. The analysis of our conducted experiments shows the effectiveness of the presented approach evaluated using different measures along with the training and validation strategies that we tailored to tackle the unavoidable color correlations that the problem at hand inherits by nature.作者: armistice 時間: 2025-3-26 15:34 作者: 殖民地 時間: 2025-3-26 19:19
,Prototype App Mobile for?Real Time American Sign Language Recognition Based on?Deep Learning,s. The ultimate goal is to recognize and transcribe words through a mobile device, which could be very useful in the practical teaching of the sign language alphabet, providing a significant breakthrough for a more complete learning of sign language.作者: Odyssey 時間: 2025-3-27 00:16
Conference proceedings 2024utions to most vexing problems. IntelliSys received an overwhelming 605 papers which were put under strict double-blind peer-review for their novelty, originality and exhaustive research. Finally, 227 papers were sieved and chosen to be published in the proceedings..This book is a valuable collectio作者: depreciate 時間: 2025-3-27 03:46
ASR Bundestag: A Large-Scale Political Debate Dataset in German,and committee meetings of the German parliament. In addition, we discuss utilized approaches for the automated creation of speech datasets and assess the quality of the resulting dataset based on evaluations and finetuning of a pre-trained state of the art model. We make the dataset publicly available, including all subsets.作者: 共同時代 時間: 2025-3-27 07:35
,Improved Technique for?Dimensionality Reduction: Star and?Quasar Classification with?Typical Testortained from the previous algorithms and using a Support Vector Machine (SVM) as a classification model, we acquire the classification results of stars and quasars. Lastly, we analyze the advantages shown by typical testors from the experimental results obtained over the ones obtained from the PCA technique.作者: incontinence 時間: 2025-3-27 09:37
2367-3370 Sys 2022).Focuses on various areas of intelligent systems an.The book is a unique collection of studies involving intelligent systems and applications of artificial intelligence in the real world to provide solutions to most vexing problems. IntelliSys received an overwhelming 605 papers which were 作者: 幻影 時間: 2025-3-27 16:10 作者: aqueduct 時間: 2025-3-27 20:06
Kohei AraiPresents recent research in intelligent systems and applications.Gathers the proceedings of the Intelligent Systems Conference 2022 (IntelliSys 2022).Focuses on various areas of intelligent systems an作者: congenial 時間: 2025-3-27 23:00
Lecture Notes in Networks and Systemshttp://image.papertrans.cn/i/image/470040.jpg作者: Coronation 時間: 2025-3-28 03:15
978-3-031-47723-2The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: 單調(diào)女 時間: 2025-3-28 07:37 作者: 實現(xiàn) 時間: 2025-3-28 11:58 作者: Intact 時間: 2025-3-28 15:51 作者: somnambulism 時間: 2025-3-28 20:53 作者: Affiliation 時間: 2025-3-29 00:16
Wind Turbine Data-Driven Intelligent Fault Detection,. On the other hand, there is a limited amount of data to work with, which, along with the high processing needs, makes the training process resource-intensive. The purpose of this research is to offer a deep learning model that relies on a data-driven approach and is aimed to increase prediction ac作者: 總 時間: 2025-3-29 04:08 作者: gerontocracy 時間: 2025-3-29 07:32
,Pre-trained Deep Learning Models for Chest X-Rays’ Classification: Views and Age-Groups, view of Chest X-rays. Moreover, an accurate radiological diagnosis should take into consideration the patient age-group, as well as the Chest X-ray view. In this paper, we aim to find the optimal classification deep learning model to classify Chest X-rays by age-group and by view. We trained seven 作者: 淺灘 時間: 2025-3-29 13:10
Impact of Gender and Chest X-Ray View Imbalance in Pneumonia Classification Using Deep Learning,s’ performance. However, the optimal training requirements for each gender and the best use-cases of CXR views are yet to be discovered. Our objective is to determine the impact of the view (PA or AP) and the gender (Male or Female) on the performance of deep learning models in the classification of作者: 職業(yè) 時間: 2025-3-29 17:32 作者: 轉(zhuǎn)向 時間: 2025-3-29 21:02
Index Tracking Via Learning to Predict Market Sensitivities,utual fund aiming to track the returns of a predefined market index (e.g., the S &P 500). A basic strategy to manage an index fund is replicating the index’s constituents and weights identically, which is, however, cost-ineffective and impractical. To address this issue, it is required to replicate 作者: Endoscope 時間: 2025-3-30 03:07
Deep Learning Models for Inventory Decisions: A Comparative Analysis,es forecasting accuracy; however the analysis of how the forecasting predictions translate to lower cost inventory decisions is still in incipient stage. The focus of this contribution is to compare how different deep learning architectures leverage the potential of data features to achieve better d作者: 不能仁慈 時間: 2025-3-30 05:07
Detecting Standard Library Functions in Obfuscated Code,tic analysis more challenging. In this work we use machine learning to detect standard library functions in compiled code which has been heavily obfuscated. First we create a C library function dataset augmented by obfuscation and diverse compiler options. We then train an ensemble of Paragraph Vect作者: 施舍 時間: 2025-3-30 10:16 作者: 不愿 時間: 2025-3-30 14:08
ASR Bundestag: A Large-Scale Political Debate Dataset in German,raining as well as 1,038 h of unlabeled audio snippets for self-supervised learning, based on raw audio data and transcriptions from plenary sessions and committee meetings of the German parliament. In addition, we discuss utilized approaches for the automated creation of speech datasets and assess 作者: 宿醉 時間: 2025-3-30 20:07
,Prototype App Mobile for?Real Time American Sign Language Recognition Based on?Deep Learning,hm has demonstrated a very high learning rate. Other researchers have created and published a dataset consisting of approximately 200 images of static gestures of the American Sign Language alphabet. For this research work, the aforementioned dataset was used, and the gestures were captured and trai作者: legitimate 時間: 2025-3-31 00:45
A Novel DNN-Based IDS System Combined with an LR-GA Method to Detect Attacks,ing more complicated and harder to spot. Hence, many intelligent attack detection approaches have been developed to face these problems in recent years. Intrusion detection systems (IDSs) based on machine learning approaches have been rising strongly due to their efficiency and scalability. However,作者: Laconic 時間: 2025-3-31 04:54
,Identification of?Potato Virus Y in?Potato Plants Using Deep Learning and?GradCAM Verification,ntly use manual visual inspections to classify potato plants that are diseased with the potato virus Y. This paper shows the feasibility of using RGB images to automate this process. A small dataset of potato plants pictures was acquired from an outdoor potato field and annotated with polygons to de作者: Mortal 時間: 2025-3-31 08:10
,Using Simulated Data for?Deep-Learning Based Real-World Apple Detection,s involves acquiring numerous images and manually annotating them. In this paper, we introduce a method for simulating apple orchards utilizing the Unity 3D engine. We created a tool that uses this simulator to generate fully bounding-box annotated (simulated) datasets. We trained YOLOv5 models of d作者: Fsh238 時間: 2025-3-31 10:41
Attention-Based Recurrent Neural Network for Multicriteria Recommendations,sufficient information about the reasons that led to a user‘s overall rating. Therefore, multicriteria recommender systems have been developed to benefit from user preferences expressed across variety of criteria. Recurrent neural networks (RNNs) have been also used in recommendation systems; indeed作者: deadlock 時間: 2025-3-31 16:39 作者: DEAF 時間: 2025-3-31 19:30
https://doi.org/10.1007/978-3-8349-8248-3Design; Geschmacksmusterrecht; IP-Rechte; Intellectual Property; Kommunikation; Konkursordnung; Marke; Mark作者: photophobia 時間: 2025-3-31 23:42
