標(biāo)題: Titlebook: Deep Learning Theory and Applications; 5th International Co Ana Fred,Allel Hadjali,Carlo Sansone Conference proceedings 2024 The Editor(s) [打印本頁] 作者: 根深蒂固 時間: 2025-3-21 19:19
書目名稱Deep Learning Theory and Applications影響因子(影響力)
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書目名稱Deep Learning Theory and Applications被引頻次
書目名稱Deep Learning Theory and Applications被引頻次學(xué)科排名
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書目名稱Deep Learning Theory and Applications讀者反饋
書目名稱Deep Learning Theory and Applications讀者反饋學(xué)科排名
作者: ALLEY 時間: 2025-3-21 23:11 作者: 新手 時間: 2025-3-22 01:42 作者: anagen 時間: 2025-3-22 06:42
,Die Identit?tsarbeit der Führungskraft,on time (13.) was only occasionally included. The 62 papers used 57 different datasets to evaluate their respective strategies. Most datasets contained newspaper articles or biomedical/medical data. Our analysis revealed that 26 out of 57 datasets are publicly accessible.. Numerous active learning s作者: resilience 時間: 2025-3-22 09:17
,IT — eine Industrie hat sich normalisiert,ated deaths, reaching nearly 1500 during the four heatwave episodes and exceeding 5000 over the entire summer period, as documented by the Ministry of Ecology, emphasizes the crucial nature of our research. Over an eight-year period, from 2015 to 2023, our methodology encompasses data preparation, i作者: 現(xiàn)實 時間: 2025-3-22 14:52
Teamperspektive: altersheterogene Teams,performed all other classifiers with an accuracy of 95.68% and a prediction time of 13?s. The second highest performer was the Naive Bayes classifier which attained an accuracy of 95.38% and a prediction time of 0.2?s.作者: 現(xiàn)實 時間: 2025-3-22 20:37
pared to T-T-T-T architecture when trained from scratch on limited data. This project proposes an architecture modifying the SegFormer Transformer with two convolutional modules, achieving pixel accuracies of 0.6956 on MS COCO.作者: 糾纏 時間: 2025-3-23 00:39 作者: Ligament 時間: 2025-3-23 04:11
Innenkolonisation und Naturalwirtschaft,e food products with varying viscosity through different flour and water mixtures, we aim to investigate the feasibility of developing an automatic, deep-learning-based system for real-time viscosity estimation in manufacturing processes. Our results indicate that our proposed methodology can automa作者: 裝勇敢地做 時間: 2025-3-23 05:50
ning process. However, the aim of the article is not to improve individual aspects of neural network algorithm operation but to demonstrate the effectiveness of applying vector-matrix analysis to study various properties of neural network data processing.作者: fodlder 時間: 2025-3-23 12:38 作者: N斯巴達(dá)人 時間: 2025-3-23 17:55 作者: 斜 時間: 2025-3-23 18:09 作者: 財主 時間: 2025-3-24 01:36 作者: 工作 時間: 2025-3-24 05:26
Scoping Review of?Active Learning Strategies and?Their Evaluation Environments for?Entity Recognitioon time (13.) was only occasionally included. The 62 papers used 57 different datasets to evaluate their respective strategies. Most datasets contained newspaper articles or biomedical/medical data. Our analysis revealed that 26 out of 57 datasets are publicly accessible.. Numerous active learning s作者: ELUC 時間: 2025-3-24 07:34
Solar Activity Impact on?Firefighter Interventions: Factors Analysisated deaths, reaching nearly 1500 during the four heatwave episodes and exceeding 5000 over the entire summer period, as documented by the Ministry of Ecology, emphasizes the crucial nature of our research. Over an eight-year period, from 2015 to 2023, our methodology encompasses data preparation, i作者: HUSH 時間: 2025-3-24 11:13
Online Job Posting Authenticity Prediction with?Machine and?Deep Learning: Performance Comparison Beperformed all other classifiers with an accuracy of 95.68% and a prediction time of 13?s. The second highest performer was the Naive Bayes classifier which attained an accuracy of 95.38% and a prediction time of 0.2?s.作者: 紳士 時間: 2025-3-24 15:19 作者: carotenoids 時間: 2025-3-24 19:55
Mitigating Class Imbalance in Healthcare AI Image Classification: Evaluating the Efficacy of Existin medical AI applications and challenges in the experimentation technique. The experiment results showcase promising enhancements in the classification model, particularly notable when employing Pix2Pix and Stable Diffusions. Each method exhibits distinct strengths and considerations, contributing to作者: Magnitude 時間: 2025-3-25 02:42 作者: 恩惠 時間: 2025-3-25 06:32 作者: IVORY 時間: 2025-3-25 09:11
Secure Coalition Formation for?Federated Machine Learning-based partition over the parties for a federated machine learning model. Partition function games find optimal and stable partitions (where no party is better off by changing groups to improve the accuracy of the aggregated DNN model) among the parties and one federated machine learning model is fo作者: 心神不寧 時間: 2025-3-25 13:49 作者: 壓迫 時間: 2025-3-25 16:05 作者: Bricklayer 時間: 2025-3-25 20:12 作者: 沒收 時間: 2025-3-26 02:05
gap. Localization is performed using the Yolov8 object detector and control using the PPO and LSTM-PPO algorithms. We achieve a 94.25% and 94.86% success rate, over 1391 and 817 landings at three different simulated environments, respectively.作者: Abrade 時間: 2025-3-26 05:26
Development and Applications of Gesture-Controlled Drones: Advances in Hand Gesture Recognition for ness. The system allows users to control the drone‘s movement in three axes, as well as raw movement, landing, and an emergency stop gesture. The paper concludes that gesture-based drone control can provide an alternative and more accessible control method for drones.作者: abreast 時間: 2025-3-26 11:36 作者: EVEN 時間: 2025-3-26 13:13 作者: Chivalrous 時間: 2025-3-26 18:04
Closing the?Sim-to-Real Gap: Enhancing Autonomous Precision Landing of?UAVs with?Detection-Informed gap. Localization is performed using the Yolov8 object detector and control using the PPO and LSTM-PPO algorithms. We achieve a 94.25% and 94.86% success rate, over 1391 and 817 landings at three different simulated environments, respectively.作者: 放逐某人 時間: 2025-3-26 21:54
Conference proceedings 2024ions, DeLTA 2024, which took place in Dijon, France, during July 10-11, 2024.?..The 44 papers included in these proceedings were carefully reviewed and selected from a total of 70 submissions. They focus on topics such as deep learning and big data analytics; machine-learning and artificial intellig作者: Exclaim 時間: 2025-3-27 02:53
1865-0929 eviewed and selected from a total of 70 submissions. They focus on topics such as deep learning and big data analytics; machine-learning and artificial intelligence, etc.?.978-3-031-66693-3978-3-031-66694-0Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: connoisseur 時間: 2025-3-27 07:26 作者: cluster 時間: 2025-3-27 10:47
Erleichterung der Schuldenlast,ents show that the presented approach works for various human motions and input representations, such as the SMPL pose parameters, trajectory data, and skeleton joints. We achieve higher accuracy compared to the state-of-the-art methods on all three datasets.作者: 克制 時間: 2025-3-27 16:43
larity, resulting in imbalanced datasets for training deep-learning models. To address this issue, a class balancing technique is proposed and applied to all datasets to improve consistency and results. Ensemble techniques are utilized to combine all of the model predictions to produce the highest F1-scores for all three labels.作者: NIL 時間: 2025-3-27 18:30
Action Conditioned Attention Encoder-Decoder and?Discriminator for?Human Motion Generationents show that the presented approach works for various human motions and input representations, such as the SMPL pose parameters, trajectory data, and skeleton joints. We achieve higher accuracy compared to the state-of-the-art methods on all three datasets.作者: 屈尊 時間: 2025-3-27 23:33 作者: Immunization 時間: 2025-3-28 05:07 作者: 聯(lián)合 時間: 2025-3-28 09:00
A Deep Learning-Based Plant Disease Detection and Classification for Arabica Coffee Leavess reducing the yield and adversely affecting the quality of the coffee. Detecting and controlling these diseases in their early stages represent formidable challenges, since traditional methods rely on visual observation by experts and often fail in accurate diagnosis. Machine learning (ML) techniqu作者: ferment 時間: 2025-3-28 13:46 作者: Inculcate 時間: 2025-3-28 14:41 作者: 嘮叨 時間: 2025-3-28 19:38
Towards Natural-Sounding Speech to Text in?Englishwere subjected to a quantitative analysis, using selected samples from the Common Voice data set and using criteria to assess both quality and precision. The research methodology includes the configuration of speech synthesis models to generate audio samples, which are then used to compare models ba作者: Defense 時間: 2025-3-29 01:58
Scoping Review of?Active Learning Strategies and?Their Evaluation Environments for?Entity Recognitio-ScR guidelines as follows:. Identify active learning strategies that were proposed for entity recognition and their evaluation environments (datasets, metrics, hardware, execution time).. We used Scopus and ACM as our search engines. We compared the results with two literature surveys to assess the作者: fructose 時間: 2025-3-29 04:16 作者: Bombast 時間: 2025-3-29 08:31 作者: follicular-unit 時間: 2025-3-29 11:38 作者: 抱怨 時間: 2025-3-29 15:51
Evolving Deep Architectures: A New Blend of CNNs and Transformers Without Pre-training Dependenciesion mechanisms in capturing global dependencies within the data. Although vision transformers proved to surpass CNNs in performance and require less computational power, their need for pre-training on large-scale datasets can become burdensome. Using pre-trained models has critical limitations, incl作者: ALE 時間: 2025-3-29 21:22
Closing the?Sim-to-Real Gap: Enhancing Autonomous Precision Landing of?UAVs with?Detection-Informed coordinates, due to limitations in the accuracy of the technology. Control policies are fine-tuned in simulation before deployment but most simulators are equipped with low-quality graphics, posing a challenge when utilizing vision based algorithms, intended to be implemented in the real world. In 作者: 變形詞 時間: 2025-3-30 03:28 作者: DEAF 時間: 2025-3-30 07:44
More Than Noise: Assessing the?Viscosity of?Food Products Based on?Sound Emission and logistics. However, the food industry poses distinctive challenges to automation due to the variability in raw materials and stringent hygiene standards. Sensory analysis is crucial in maintaining consistent quality and safety while manufacturing food products. This paper focuses on the automat作者: 性冷淡 時間: 2025-3-30 08:49 作者: 不如屎殼郎 時間: 2025-3-30 13:16 作者: 跟隨 時間: 2025-3-30 20:32
Action Conditioned Attention Encoder-Decoder and?Discriminator for?Human Motion Generation. In this work, we focus on generating more accurate actions performed by a single person using a conditioned generative model. The primary motivation for this work comes from human-robot collaboration scenarios where a person interacts with the robot using human actions. Our approach consists of a
