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標(biāo)題: Titlebook: Computational Collective Intelligence; 16th International C Ngoc Thanh Nguyen,Bogdan Franczyk,Adrianna Kozierk Conference proceedings 2024 [打印本頁(yè)]

作者: Diverticulum    時(shí)間: 2025-3-21 19:01
書(shū)目名稱(chēng)Computational Collective Intelligence影響因子(影響力)




書(shū)目名稱(chēng)Computational Collective Intelligence影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Computational Collective Intelligence網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Computational Collective Intelligence網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Computational Collective Intelligence被引頻次




書(shū)目名稱(chēng)Computational Collective Intelligence被引頻次學(xué)科排名




書(shū)目名稱(chēng)Computational Collective Intelligence年度引用




書(shū)目名稱(chēng)Computational Collective Intelligence年度引用學(xué)科排名




書(shū)目名稱(chēng)Computational Collective Intelligence讀者反饋




書(shū)目名稱(chēng)Computational Collective Intelligence讀者反饋學(xué)科排名





作者: Inertia    時(shí)間: 2025-3-21 20:34
A Novel Multi-criteria Approach Supporting Strong Sustainability Assessmentoposed method is presented for the practical problem of assessing the achievement of SDG 7 (Sustainable Development Goal 7) targets by selected European countries. Benchmarking was also carried out with the SPOTIS (Stable Preference Ordering Towards Ideal Solution) reference method extended with the
作者: PON    時(shí)間: 2025-3-22 02:10
Parallelized Population-Based Multi-heuristic Approach for Solving RCPSP and MRCPSP Instanceshe Apache Spark environment as an efficient method for solving instances of project scheduling problems. The approach has been validated in an extensive computational experiment based on datasets from PSPLIB library.
作者: 帶子    時(shí)間: 2025-3-22 06:28
A Collective Intelligence to Predict Stock Market Indices Applying an Optimized Hybrid Ensemble Leartomatic feature extraction. (3) Three machine-learning predictors (Random Forest (RF), Gradient Boosting (GB), and Extra Trees (ET)) are merged together and optimized using the Halving Grid Search (HGS) algorithm to obtain collective final predictions. To verify the validity of the proposed model, t
作者: Champion    時(shí)間: 2025-3-22 12:13

作者: AER    時(shí)間: 2025-3-22 13:28

作者: AER    時(shí)間: 2025-3-22 17:22
Improved CNN Model Stability and?Robustness with?Video Frame Segmentation footage analysis, but also offers broader implications for similar image classification tasks across various domains, thereby setting a foundation for future explorations in enhancing CNN model performance.
作者: Asseverate    時(shí)間: 2025-3-22 22:40

作者: EXCEL    時(shí)間: 2025-3-23 03:28

作者: deviate    時(shí)間: 2025-3-23 08:53
Gesundheitskompetenz im Sportunterrichtoposed method is presented for the practical problem of assessing the achievement of SDG 7 (Sustainable Development Goal 7) targets by selected European countries. Benchmarking was also carried out with the SPOTIS (Stable Preference Ordering Towards Ideal Solution) reference method extended with the
作者: 串通    時(shí)間: 2025-3-23 12:55

作者: 入會(huì)    時(shí)間: 2025-3-23 17:22
Lothar Stempfle,Ricarda Zartmanntomatic feature extraction. (3) Three machine-learning predictors (Random Forest (RF), Gradient Boosting (GB), and Extra Trees (ET)) are merged together and optimized using the Halving Grid Search (HGS) algorithm to obtain collective final predictions. To verify the validity of the proposed model, t
作者: 單挑    時(shí)間: 2025-3-23 20:06
Der Colombo-Effekt: komplexe L?sungen bietenccuracy, precision, recall, and F1 score, outperforming the benchmarks. In addition, our research contributes to the field of medical imaging by introducing a robust preprocessing method that highlights critical features in the images, thereby enhancing classification performance. This study not onl
作者: Microaneurysm    時(shí)間: 2025-3-24 00:40
Alexander Verweyen,Gregor Eckertmprove classification accuracy and detection performance. Empirical results demonstrate the effectiveness of our method, achieving a 92.05% accuracy in distinguishing parkinsonian from non-parkinsonian gait patterns in both training and testing datasets. These findings underscore the potential of ou
作者: 絕種    時(shí)間: 2025-3-24 03:16
Fallstudie 3 Kostenpolitik in der Rezession footage analysis, but also offers broader implications for similar image classification tasks across various domains, thereby setting a foundation for future explorations in enhancing CNN model performance.
作者: 雄偉    時(shí)間: 2025-3-24 09:06

作者: 羊欄    時(shí)間: 2025-3-24 14:34

作者: 受人支配    時(shí)間: 2025-3-24 16:35

作者: 等級(jí)的上升    時(shí)間: 2025-3-24 20:07
0302-9743 Intelligence, ICCCI 2024, held in Leipzig, Germany, during September 9–11, 2024..The 59 revised full papers presented in these proceedings were carefully reviewed and selected from 234 submissions. They cover the following topics:..Part I: Collective intelligence and collective decision-making; deep
作者: Nucleate    時(shí)間: 2025-3-25 01:50

作者: ADJ    時(shí)間: 2025-3-25 04:52

作者: Arthritis    時(shí)間: 2025-3-25 07:51

作者: Permanent    時(shí)間: 2025-3-25 14:05

作者: 推延    時(shí)間: 2025-3-25 16:57
Enhancing Focused Ant Colony Optimization for?Large-Scale Traveling Salesman Problems Through AdaptiTSP instances, ranging from . to . nodes, show that two of the proposed methods, which are based on solutions to the multi-armed bandit problem, significantly improve the convergence of Focused ACO to high-quality solutions in 75% of the cases.
作者: 大都市    時(shí)間: 2025-3-25 21:19

作者: Malleable    時(shí)間: 2025-3-26 04:07
Conference proceedings 2024 technology, and internet of things; cooperative strategies for decision making and optimization; computational intelligence for digital content understanding; knowledge engineering and application for industry 4.0...?.
作者: Ardent    時(shí)間: 2025-3-26 04:30
0302-9743 blockchain technology, and internet of things; cooperative strategies for decision making and optimization; computational intelligence for digital content understanding; knowledge engineering and application for industry 4.0...?.978-3-031-70815-2978-3-031-70816-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
作者: Decongestant    時(shí)間: 2025-3-26 12:16
Nadja Kaiser,Anne Keller,Simone Beckerpected to appear sometime in the future. Next, we discuss technologies shaping current-generation CCI systems including generative AI, intelligent agents, and ANN technologies. Based on the above we evaluate developments leading towards Artificial General Intelligence and General Collective Computational Intelligence.
作者: 把…比做    時(shí)間: 2025-3-26 15:20

作者: 仲裁者    時(shí)間: 2025-3-26 17:44

作者: interrupt    時(shí)間: 2025-3-27 00:02
Alexander Verweyen,Gregor Eckert Computed Tomography (CT) images collected from COVID-19 patients and healthy lungs reveal the promising combination between the image classification of VGG-16 and interpretation methods of Grad-CAM and LIME in lung disease diagnosis.
作者: 莊嚴(yán)    時(shí)間: 2025-3-27 04:41
Susanne Ring-Dimitriou,Martin Pühringercorporating with various prompt templates. It is implemented by integrating into Trivi, a customer-intelligent platform for SMEs. An experiment was carried out to evaluate its performance, using different datasets, revealing that this approach is slightly better than previous works.
作者: 厭倦嗎你    時(shí)間: 2025-3-27 06:14
Collective Computational Intelligence Challenges and?Opportunitiespected to appear sometime in the future. Next, we discuss technologies shaping current-generation CCI systems including generative AI, intelligent agents, and ANN technologies. Based on the above we evaluate developments leading towards Artificial General Intelligence and General Collective Computational Intelligence.
作者: 向外供接觸    時(shí)間: 2025-3-27 09:36

作者: 出沒(méi)    時(shí)間: 2025-3-27 15:29

作者: bibliophile    時(shí)間: 2025-3-27 20:04
Interpreting Results of?VGG-16 for?COVID-19 Diagnosis on?CT Images Computed Tomography (CT) images collected from COVID-19 patients and healthy lungs reveal the promising combination between the image classification of VGG-16 and interpretation methods of Grad-CAM and LIME in lung disease diagnosis.
作者: 憤世嫉俗者    時(shí)間: 2025-3-28 00:16
BABot: A Framework for the LLM-Based Chatbot Supporting Business Analytics in e-Commercecorporating with various prompt templates. It is implemented by integrating into Trivi, a customer-intelligent platform for SMEs. An experiment was carried out to evaluate its performance, using different datasets, revealing that this approach is slightly better than previous works.
作者: 無(wú)目標(biāo)    時(shí)間: 2025-3-28 05:21

作者: SPURN    時(shí)間: 2025-3-28 10:11
Reward-Based Hybrid Genetic Algorithm for Solving the Class Scheduling Problemin the proposed algorithm. While the fulfilment of hard conditions is mandatory, the satisfaction of soft constraints is evaluated through rewards, which are assigned based on the degree to which the constraints are met. The genetic algorithm proposed in this article validates potential solutions by
作者: 佛刊    時(shí)間: 2025-3-28 13:14

作者: Heart-Rate    時(shí)間: 2025-3-28 16:33
Enhancing Focused Ant Colony Optimization for?Large-Scale Traveling Salesman Problems Through Adaptition problems. The Focused ACO is a state-of-the-art, ACO-based algorithm for solving large instances of the Traveling Salesman Problem (TSP) with hundreds of thousands of nodes. In the current work, we propose four candidate methods for automatically setting a crucial Focused ACO parameter that dir
作者: nugatory    時(shí)間: 2025-3-28 19:39

作者: 絆住    時(shí)間: 2025-3-29 01:33

作者: CHURL    時(shí)間: 2025-3-29 06:30

作者: Galactogogue    時(shí)間: 2025-3-29 10:54
GANet - Learning Tabular Data Using Global Attentiongnificant strides, exhibiting better performance levels in the tabular data. Still, their practical utilization in real-world scenarios remains limited because their accuracy and interpretability are not comparable to classical methods, although the application of Deep Learning is attractive - build
作者: Occupation    時(shí)間: 2025-3-29 11:44

作者: 胰島素    時(shí)間: 2025-3-29 18:05

作者: THROB    時(shí)間: 2025-3-29 20:58
Interpreting Results of?VGG-16 for?COVID-19 Diagnosis on?CT Imagesents a diagnosis approach based on a combination of the well-known convolutional neural network architecture, VGG-16, and model interpretation techniques such as Grad-CAM and LIME. This approach helps visualize the lung areas infected with COVID-19 and other considered anomalies such as Pleural thic
作者: 笨拙的你    時(shí)間: 2025-3-30 03:22
A Hybrid Approach Using 2D CNN and?Attention-Based LSTM for?Parkinson’s Disease Detection from?Video and consistency. The current diagnostic process intensely relies on subjective clinical judgment, resulting in changeable accuracy influenced by clinician skills. To solve this limitation, we present a hybrid approach using 2D CNN and attention-based LSTM network that takes video recordings as inpu
作者: 表兩個(gè)    時(shí)間: 2025-3-30 06:18

作者: 清晰    時(shí)間: 2025-3-30 10:45

作者: 是他笨    時(shí)間: 2025-3-30 13:33
BABot: A Framework for the LLM-Based Chatbot Supporting Business Analytics in e-Commercetead of being confined to a predefined script, LLM-based chatbots have gained popularity and exerted a significant influence on the development of chatbot technology. This paper presents a framework for a chatbot that conducts conversations about business analytics in e-commerce. The framework is ba




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