標題: Titlebook: Artificial Intelligence in Data and Big Data Processing; Proceedings of ICABD Ngoc Hoang Thanh Dang,Yu-Dong Zhang,Bo-Hao Chen Conference pr [打印本頁] 作者: Destruct 時間: 2025-3-21 17:10
書目名稱Artificial Intelligence in Data and Big Data Processing影響因子(影響力)
書目名稱Artificial Intelligence in Data and Big Data Processing影響因子(影響力)學(xué)科排名
書目名稱Artificial Intelligence in Data and Big Data Processing網(wǎng)絡(luò)公開度
書目名稱Artificial Intelligence in Data and Big Data Processing網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Artificial Intelligence in Data and Big Data Processing被引頻次
書目名稱Artificial Intelligence in Data and Big Data Processing被引頻次學(xué)科排名
書目名稱Artificial Intelligence in Data and Big Data Processing年度引用
書目名稱Artificial Intelligence in Data and Big Data Processing年度引用學(xué)科排名
書目名稱Artificial Intelligence in Data and Big Data Processing讀者反饋
書目名稱Artificial Intelligence in Data and Big Data Processing讀者反饋學(xué)科排名
作者: arrogant 時間: 2025-3-21 23:30
Determinanten der Familienmodellwahl,mance. To improve convergence and performance in object detection, many researchers have modified and proposed Intersection over Union (IoU) loss functions. In existing researches, the loss functions have some main drawbacks. Firstly, the IoU-based loss functions are inefficient enough to perform th作者: FLINT 時間: 2025-3-22 01:39
https://doi.org/10.1007/978-3-531-91362-9t variable. To improve the performance, we consider resampling the dataset and ensembling the classifiers. The benchmarks are taken from the best performance among six considered classifiers. Resampling the dataset includes oversampling and undersampling. The performance of ensemble classifiers are 作者: 徹底檢查 時間: 2025-3-22 06:18
Determinanten der Familienmodellwahl,It establishes a routine that informs the student of their responsibilities throughout the semester. Creating a well-constructed course schedule takes a long time and a lot of human effort when managers have to put up subjects, classes, lecturers into constrained duration. To solve these issues, we 作者: 監(jiān)禁 時間: 2025-3-22 09:57 作者: Entreaty 時間: 2025-3-22 16:14 作者: 背書 時間: 2025-3-22 21:07
https://doi.org/10.1007/978-3-531-91362-9ious research applies a semantic parser to transform a sentence into a semantic graph, while this heuristic approach can be regarded as the data augmentation technique. Following this idea, this manuscript investigates the Dependency Parsing graph via GNNs to improve the current performance of the T作者: 最有利 時間: 2025-3-22 23:52
Determinanten der Familienmodellwahl,s time and effort. This paper investigates several text summarization models based on neural networks, including extractive summarization, abstractive summarization, and abstractive summarization based on the re-writer approach and bottom-up approach. We perform experiments on the CTUNLPSum dataset 作者: 圣歌 時間: 2025-3-23 03:21 作者: MEET 時間: 2025-3-23 06:30 作者: FEIGN 時間: 2025-3-23 10:35
https://doi.org/10.1007/978-3-322-93766-7y proposing a novel trust-based recommendation method, and the proposed method uses trust information along with rating values to deal with “cold-start” users and items. Because in most real-world applications, only a few items are given feedback by the users. Therefore, we were faced with a sparse 作者: 色情 時間: 2025-3-23 17:10
Das Gelingen von Doppelkarriere-Familienormance, the CNN models are designed to become deeper and deeper, using more feature maps to extract many features from the input image such as ResNet-152 with 60.3M parameters and 11 GFLOPs. Therefore, running these models in real-time is a big issue, especially, running real-time on PC and/or embe作者: inclusive 時間: 2025-3-23 18:14 作者: 無瑕疵 時間: 2025-3-23 22:10 作者: 常到 時間: 2025-3-24 02:57
Artificial Intelligence in Data and Big Data Processing978-3-030-97610-1Series ISSN 2367-4512 Series E-ISSN 2367-4520 作者: instate 時間: 2025-3-24 10:30 作者: Noisome 時間: 2025-3-24 13:02 作者: VAN 時間: 2025-3-24 15:52 作者: 分期付款 時間: 2025-3-24 19:58
Determinanten der Familienmodellwahl,in Vietnamese comprising 95,579 documents collected from commonly read Vietnamese online newspapers. The summarization model based on the bottom-up approach creates the best summaries. The F1-scores of ROUGE-1, ROUGE2, and ROUGE-L of the bottom-up approach are 0.598, 0.260, and 0.455, respectively.作者: 輕打 時間: 2025-3-24 23:17
https://doi.org/10.1007/978-3-322-93766-7on. The EACO applies for logistics vehicle path planning optimization (VPP) by using the optimal solution of an “opts” method. The experimental results reveal that the proposed algorithm outperforms the ACO and the other algorithms in the literature for logistical distribution paths and delivery vehicle routes to satisfy customers’ needs.作者: enlist 時間: 2025-3-25 07:12 作者: 開頭 時間: 2025-3-25 09:40
Vietnamese Text Summarization Based on Neural Network Modelsin Vietnamese comprising 95,579 documents collected from commonly read Vietnamese online newspapers. The summarization model based on the bottom-up approach creates the best summaries. The F1-scores of ROUGE-1, ROUGE2, and ROUGE-L of the bottom-up approach are 0.598, 0.260, and 0.455, respectively.作者: Free-Radical 時間: 2025-3-25 12:21
An Enhanced Ant Colony Algorithm for Vehicle Path Planning Optimization Problemon. The EACO applies for logistics vehicle path planning optimization (VPP) by using the optimal solution of an “opts” method. The experimental results reveal that the proposed algorithm outperforms the ACO and the other algorithms in the literature for logistical distribution paths and delivery vehicle routes to satisfy customers’ needs.作者: 兵團 時間: 2025-3-25 16:20
Conference proceedings 2022ommunicate with humans, and they must act like humans in different aspects such as vision, communication, thinking, feeling, and acting..“A computer would deserve to be called intelligent if it could deceive a human into believing that it was human”. . —Alan Turing.作者: Charlatan 時間: 2025-3-25 22:59
Determinanten der Familienmodellwahl,graphs, including conceptual and relational measures were investigated. The proposed technique was tested on the standard Information Retrieval problems of named entity recognition and relations extraction. Experiments were made on the BioNLP texts corpus.作者: 無能力 時間: 2025-3-26 02:42 作者: 是突襲 時間: 2025-3-26 04:21
Das Gelingen von Doppelkarriere-Familienmodel show that the DR layer reduces significantly the performance of these models when we concatenate more feature maps together. Besides, we found that the DR layer works well on models using residual learning blocks such as ResNet.作者: tariff 時間: 2025-3-26 08:55 作者: octogenarian 時間: 2025-3-26 15:50
Exhaustive Search for Weighted Ensemble Classifiers to Improve Performance on Imbalanced Dataset. recall 92.71%, precision 79.14%, F1 84.73%, AUC 79.96%, and accuracy 76.88%. The ensemble of LR, SVM and NB and the ensemble of LDA, SVM, and NB outperforms the second and third benchmark, respectively.作者: PANEL 時間: 2025-3-26 17:58
Dimensional Reduction Layer: The Simple Way to?Build Lightweight Modelsmodel show that the DR layer reduces significantly the performance of these models when we concatenate more feature maps together. Besides, we found that the DR layer works well on models using residual learning blocks such as ResNet.作者: atrophy 時間: 2025-3-26 21:14
Determinanten der Familienmodellwahl,cted to obtain more accurate results. The experimental results showed that using a Genetic algorithm can take short time to generate a course schedule with high accuracy while maintaining free human errors.作者: 階層 時間: 2025-3-27 02:01 作者: 翻動 時間: 2025-3-27 08:45 作者: Euphonious 時間: 2025-3-27 10:22
Integrating N?m Language Model Into N?m Optical Character Recognitionation of the N?m language model (whose training corpus is limited) helps boost top-1 performance by a small margin: +0.04% on an already high result of the training dataset, +2.72 and +0.14% on the two testing datasets, respectively.作者: 轉(zhuǎn)向 時間: 2025-3-27 13:41 作者: Meager 時間: 2025-3-27 19:33
An Updated IoU Loss Function for Bounding Box Regressionmance. To improve convergence and performance in object detection, many researchers have modified and proposed Intersection over Union (IoU) loss functions. In existing researches, the loss functions have some main drawbacks. Firstly, the IoU-based loss functions are inefficient enough to perform th作者: HALL 時間: 2025-3-28 01:44 作者: 圖表證明 時間: 2025-3-28 03:30
Automatic Generation of Course Schedules Using Genetic AlgorithmIt establishes a routine that informs the student of their responsibilities throughout the semester. Creating a well-constructed course schedule takes a long time and a lot of human effort when managers have to put up subjects, classes, lecturers into constrained duration. To solve these issues, we 作者: Gerontology 時間: 2025-3-28 07:55
Integrating N?m Language Model Into N?m Optical Character Recognition model for N?m woodblock-print images. Among top-N results of a character prediction, we pick out a single and more accurate result using N?m language model (LM). An OCR-LM weighting mechanism is introduced to integrate the language model into the OCR baseline as a post-processing stage. Our OCR bas作者: MODE 時間: 2025-3-28 11:56 作者: medieval 時間: 2025-3-28 16:42 作者: 誘騙 時間: 2025-3-28 20:07
Vietnamese Text Summarization Based on Neural Network Modelss time and effort. This paper investigates several text summarization models based on neural networks, including extractive summarization, abstractive summarization, and abstractive summarization based on the re-writer approach and bottom-up approach. We perform experiments on the CTUNLPSum dataset 作者: 假 時間: 2025-3-29 01:49
Adapting Cross-Lingual Model to?Improve Vietnamese Dependency Parsingrt model in this task and used it as a knowledge base to solve more complex problems. However, to achieve high accuracy in a dependency parsing model, it takes significant time and labor to build a large amount of annotated treebanks. For languages with little or no annotated treebanks, some approac作者: cardiac-arrest 時間: 2025-3-29 06:43 作者: ADJ 時間: 2025-3-29 07:58 作者: 比賽用背帶 時間: 2025-3-29 12:55 作者: 剛毅 時間: 2025-3-29 18:26
Determinanten der Familienmodellwahl,e proposed function including: (i) the overlap area; (ii) the distances; (iii) the side length. Especially, the Updated-IoU loss function is extremely concentrates on the overlap areas, and predicted object localization to obtain the higher position accuracy performance. In this way, the proposal al作者: Observe 時間: 2025-3-29 22:36
Determinanten der Familienmodellwahl,yleSpeech can synthesize a high fidelity voice with only 36 utterances (about 3?min) in training data. Furthermore, the experimental results prove that model can learn to speak in a new voice with only one small reference record (about 5?s) of the target voice without any fine-tune stage and get a c
