標(biāo)題: Titlebook: Advances on Smart and Soft Computing; Proceedings of ICAC Faisal Saeed,Tawfik Al-Hadhrami,Errais Mohammed Conference proceedings 2021 The [打印本頁] 作者: 預(yù)兆前 時(shí)間: 2025-3-21 17:01
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書目名稱Advances on Smart and Soft Computing被引頻次學(xué)科排名
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書目名稱Advances on Smart and Soft Computing讀者反饋
書目名稱Advances on Smart and Soft Computing讀者反饋學(xué)科排名
作者: BARK 時(shí)間: 2025-3-22 00:06
Evaluation of Several Artificial Intelligence and Machine Learning Algorithms for Image Classificationg with deep learning methods (CNN and transfer learning). Data augmentation and fine-tuning techniques are explored to handle the overfitting problem. Conducted experiment results show the effectiveness of transfer learning with data augmentation and fine-tuning using the VGG16 network as the precision reaches 89%.作者: insular 時(shí)間: 2025-3-22 01:06 作者: murmur 時(shí)間: 2025-3-22 08:12 作者: Implicit 時(shí)間: 2025-3-22 11:52 作者: 即席演說 時(shí)間: 2025-3-22 13:58
Feature Selection and Classification Using CatBoost Method for Improving the Performance of Predictithe ensemble methods, random forest, XGBoost and CatBoost were used to find the most important features for predicting PD. The effect of these features with different thresholds was investigated in order to obtain the best performance for predicting PD. The results showed that CatBoost method obtained the best results.作者: infelicitous 時(shí)間: 2025-3-22 18:50 作者: Melatonin 時(shí)間: 2025-3-22 21:42 作者: deceive 時(shí)間: 2025-3-23 02:34 作者: 蜈蚣 時(shí)間: 2025-3-23 08:18 作者: 歪曲道理 時(shí)間: 2025-3-23 12:33
Yemeni Paper Currency Recognition System Using Deep Learning Approachem is based on image processing methods to classify different types of currencies efficiently. Moreover, deep learning techniques are used to perform the classification process effectively. The obtained results in the actual implementation of this model are encouraging. The accuracy rate reaches 92.7% in the testing phases.作者: 廢止 時(shí)間: 2025-3-23 16:49 作者: 混合物 時(shí)間: 2025-3-23 18:54
I. Hiti,B. Cestnik,F. Selan,J. Janezice without revealing the private key itself to the verifier during the protocol. In this work, a new identification method is presented, which bases its security on the discrete logarithm problem and partially on the Schnorr protocol. The security analysis and the complexity will be examined. An application to elliptic curves will be also given.作者: Anticlimax 時(shí)間: 2025-3-24 00:23 作者: reflection 時(shí)間: 2025-3-24 03:06
https://doi.org/10.1057/9780230286825consuming for methods to find the best values manually. In this paper, grid search and random search hyper-parameters (HP) tuning methods were used with several machine learning methods in order to enhance the performance of detecting hate speech. The experimental results showed great improvements when HP methods were applied.作者: FLOUR 時(shí)間: 2025-3-24 08:25
Web 2.0 and Network Intelligenceetection, and non-text filtering; text detection use region invariants features extraction based on moment functions to label frame pixels for text/non-text. Experimental results show high accuracy for text/non-text discrimination, and this is mainly related to orthogonal moment functions expressivity and invariants properties.作者: 冷峻 時(shí)間: 2025-3-24 12:10 作者: gnarled 時(shí)間: 2025-3-24 16:06 作者: incarcerate 時(shí)間: 2025-3-24 20:47 作者: WITH 時(shí)間: 2025-3-24 23:35 作者: Endemic 時(shí)間: 2025-3-25 06:13
Context and Connection in Metaphorthey are employed in identifying dementia from clinical datasets. It has been found that support vector machine and random forest perform better on datasets coming from open access repositories such as open access series of imaging studies, Alzheimer’s disease neuroimaging initiative and dementia bank datasets.作者: 高調(diào) 時(shí)間: 2025-3-25 09:51 作者: tattle 時(shí)間: 2025-3-25 15:09 作者: Gourmet 時(shí)間: 2025-3-25 18:31
SMOTE–ENN-Based Data Sampling and Improved Dynamic Ensemble Selection for Imbalanced Medical Data Clmbalanced medical datasets. The suggested approach is based on the combination of an improved dynamic ensemble selection called META-DES framework combined with a hybrid sampling method called SMOTE–ENN. The experimental results prove the superiority of the proposed ensemble learning system using three UCI datasets.作者: 使激動(dòng) 時(shí)間: 2025-3-25 23:09
Performance Comparison of Machine Learning Techniques in Identifying Dementia from Open Access Clinithey are employed in identifying dementia from clinical datasets. It has been found that support vector machine and random forest perform better on datasets coming from open access repositories such as open access series of imaging studies, Alzheimer’s disease neuroimaging initiative and dementia bank datasets.作者: 是他笨 時(shí)間: 2025-3-26 03:11 作者: arthroscopy 時(shí)間: 2025-3-26 04:43 作者: 漂泊 時(shí)間: 2025-3-26 09:58 作者: gospel 時(shí)間: 2025-3-26 13:54
A Deep Learning Architecture for Profile Enrichment and Content Recommendationa in order to enrich the profile of the user. Then based on the history of user ratings as well as data on users and items (useful information such as genre, year, tag and rating), we develop a framework for deep learning to learn a similarity function between users and predict item ratings. We eval作者: 肉身 時(shí)間: 2025-3-26 17:08 作者: agglomerate 時(shí)間: 2025-3-26 22:12
Ensemble Feature Selection Method Based on Bio-inspired Algorithms for Multi-objective Classificatioht benchmark datasets with various sizes were carefully chosen to experiment. Experimental results revealed that both algorithms that used the selected bio-inspired search algorithms with an ensemble method have successfully achieved a better solution with an optimum set of features, that is, less n作者: florid 時(shí)間: 2025-3-27 01:41 作者: Esophagitis 時(shí)間: 2025-3-27 08:17
2194-5357 uting platforms, parallel processing, natural language processing, predictive analytics, knowledge management approaches, information security, security in IoT, big data and cloud computing, high-performance computing and computational informatics.978-981-15-6047-7978-981-15-6048-4Series ISSN 2194-5357 Series E-ISSN 2194-5365 作者: 不再流行 時(shí)間: 2025-3-27 09:57 作者: CONE 時(shí)間: 2025-3-27 16:05
Paul Warren,John Davies,Elena Simperla in order to enrich the profile of the user. Then based on the history of user ratings as well as data on users and items (useful information such as genre, year, tag and rating), we develop a framework for deep learning to learn a similarity function between users and predict item ratings. We eval作者: palpitate 時(shí)間: 2025-3-27 19:18
Context-Aware Middleware: A Reviewpandable ecosystem. In this contribution, we review the literature regarding the association between BDVC, data monetization, and cloud computing. Then, we propose a Big Data monetization-driven value chain model that relies on cloud computing and analytical capabilities. It allows monetizing both d作者: FUSE 時(shí)間: 2025-3-27 22:51
Context Aware and Adaptive Systemsht benchmark datasets with various sizes were carefully chosen to experiment. Experimental results revealed that both algorithms that used the selected bio-inspired search algorithms with an ensemble method have successfully achieved a better solution with an optimum set of features, that is, less n作者: enflame 時(shí)間: 2025-3-28 04:48
Optimization of a Similarity Performance on Bounded Content of Motion Histogram by Using Distributedributed computing platform by using Apache Hadoop framework and a real-time distributed storage system using HBase. In fact, the amount of multimedia data is growing exponentially. Most of this data is available in image and video models. Analyzing huge data involves complex algorithms, which leads 作者: 燈絲 時(shí)間: 2025-3-28 08:12 作者: 擔(dān)心 時(shí)間: 2025-3-28 11:56
A Zero-Knowledge Identification Scheme Based on the Discrete Logarithm Problem and Elliptic Curvesthe communication between a card and an automatic teller, and the verification of customers identity by banks. The idea of cryptographic identification protocols is that one entity, the claimant, proves its identity to another party, the verifier, by demonstrating the knowledge of a secret, of cours作者: 從容 時(shí)間: 2025-3-28 18:29 作者: notice 時(shí)間: 2025-3-28 19:56 作者: Oligarchy 時(shí)間: 2025-3-29 01:14
Yemeni Paper Currency Recognition System Using Deep Learning Approach use of automated system such as ATM, for getting cash, safe and precise methods for recognizing paper currency are highly demanded. Recently, the use of an efficient automatic classifying system becomes one of the most important needs of current banking services. The main aim of this paper is to in作者: FLINT 時(shí)間: 2025-3-29 05:04 作者: ASSAY 時(shí)間: 2025-3-29 08:22
Performance Comparison of Machine Learning Techniques in Identifying Dementia from Open Access Cliniulation, the problem of dementia is rising. Despite being one of the prevalent mental health conditions in the community, it is not timely identified, reported and even understood completely. With the massive improvement in the computational power, researchers have developed machine learning (ML) te作者: DECRY 時(shí)間: 2025-3-29 14:56 作者: MIRE 時(shí)間: 2025-3-29 19:02 作者: 強(qiáng)制性 時(shí)間: 2025-3-29 19:47 作者: ESPY 時(shí)間: 2025-3-30 02:37 作者: 過分 時(shí)間: 2025-3-30 07:44 作者: arrhythmic 時(shí)間: 2025-3-30 11:09
Ensemble Feature Selection Method Based on Bio-inspired Algorithms for Multi-objective Classificatiofeature selection method as they tend to work individually and cause incorrect feature selection, which in turn affect the classification accuracy. The objective of this research was to utilise the potential of ensemble methods (boosting) with bio-inspired techniques in improving the performance of 作者: 愛社交 時(shí)間: 2025-3-30 15:38 作者: cataract 時(shí)間: 2025-3-30 17:37
Feature Selection and Classification Using CatBoost Method for Improving the Performance of Predicti network, Na?ve Bayes and K-nearest neighbor. In addition, different ensemble methods were used such as bagging, random forest and boosting. On the other hand, different feature ranking methods have been used to reduce the data dimensionality by selecting the most important features. In this paper, 作者: happiness 時(shí)間: 2025-3-31 00:19
Context modeling for decision support,ributed computing platform by using Apache Hadoop framework and a real-time distributed storage system using HBase. In fact, the amount of multimedia data is growing exponentially. Most of this data is available in image and video models. Analyzing huge data involves complex algorithms, which leads 作者: Sad570 時(shí)間: 2025-3-31 01:48
Context modeling for decision support,f unhealthy lifestyles and the number of diabetic patients is rising more rapidly, there is a growing need for an automated system for early diagnosis and treatment to avoid blindness. With the development of different technologies [e.g., smart devices, cloud computing and the Internet of Things (Io作者: Diaphragm 時(shí)間: 2025-3-31 07:20 作者: INERT 時(shí)間: 2025-3-31 10:02 作者: Flatter 時(shí)間: 2025-3-31 13:57 作者: 干涉 時(shí)間: 2025-3-31 21:20 作者: 兇兆 時(shí)間: 2025-3-31 21:57
https://doi.org/10.1057/9780230286825chine learning methods for classifying the text as hate speech. However, the performance of machine learning method differs when using different parameters settings. Selecting the best values of parameters for machine learning method yields directly in the performance of the method. It is very time 作者: Catheter 時(shí)間: 2025-4-1 02:59 作者: 厭食癥 時(shí)間: 2025-4-1 08:32 作者: 秘方藥 時(shí)間: 2025-4-1 11:13
Web 2.0 and Network Intelligenceinated from his background and other scene objects. Extraction is a challenging task due to varieties degradations related to environmental changes, acquisition conditions in addition to characteristics related to video content. Method consists of a three-step process: Slide region detection, text d作者: CRP743 時(shí)間: 2025-4-1 17:45
Paul Warren,John Davies,Elena Simperler to suggest the most appropriate resources to users. Recommender systems are commonly used in connection with artificial intelligence because machine learning techniques are frequently used to create recommendation algorithms. We suggest using neural networks to improve resource suggestions. Neura作者: 可以任性 時(shí)間: 2025-4-1 20:38
Jeanne E Parker,Debra L Hollisterr flexibility in terms of place and time, and increase of speed the tasks can be performed. At the same time, technology-based communication can limit social relationships within the company. These changes require company leaders to be cautious about their employee wellbeing and satisfaction. It is
