作者: Coterminous 時間: 2025-3-21 21:11 作者: Grasping 時間: 2025-3-22 04:13
Decision Boundary to Improve the Sensitivity of Deep Neural Networks Modelsy decreases during standard training. However, adversarial training increases this distance, which improve the performance of our model. Our work presents a new solution to the deep neural networks sensitivity problem. We found a very strong relationship between the efficiency of the deep neural net作者: Metastasis 時間: 2025-3-22 07:24 作者: 粗魯?shù)娜?nbsp; 時間: 2025-3-22 10:21
Deep Reinforcement Learning for?Bitcoin Tradinghieve an optimal policy. The profit reward functions and Sharpe ratio are used to assess the proposed DRL. The results of the experiments demonstrate that combining three agents is the most efficient strategy for automatic bitcoin trading.作者: orthodox 時間: 2025-3-22 13:35
Increasing Student Engagement in Lessons and Assessing MOOC Participants Through Artificial Intelligtudent‘s comprehension of the video‘s material. machine-generated questions performed comparably to human-generated questions when it came to judging skill and resemblance. Additionally, the findings indicate that the majority of the questions generated improve e-assessment when the new technology i作者: Assignment 時間: 2025-3-22 19:52 作者: CANDY 時間: 2025-3-22 22:54 作者: SLAG 時間: 2025-3-23 01:48 作者: arterioles 時間: 2025-3-23 06:41
Alberto Del Bimbo,Pietro Pala,Enrico Vicariodoop framework to overcome the issue of long runtime of huge data sets. Also, a comparisons of the proposed model’s effectiveness with other existing models in the literature is carried out and the experimental results shown that our suggested parallel fuzzy model surpasses the baseline models by a 作者: 步兵 時間: 2025-3-23 13:46 作者: Axon895 時間: 2025-3-23 14:20 作者: OUTRE 時間: 2025-3-23 22:03 作者: Promotion 時間: 2025-3-24 00:00 作者: 談判 時間: 2025-3-24 03:07
Martin Ebner,Sandra Sch?n,Aldi Alimucajtudent‘s comprehension of the video‘s material. machine-generated questions performed comparably to human-generated questions when it came to judging skill and resemblance. Additionally, the findings indicate that the majority of the questions generated improve e-assessment when the new technology i作者: single 時間: 2025-3-24 09:46
https://doi.org/10.1007/978-3-642-54487-3is paper introduces the first dataset intended for the summarization of articles written in Darija. In addition, we present state-of-the-art results based on the ROUGE metric for extractive methods based on BERT embeddings and K-MEANS clustering, as well as abstractive methods based on Transformers 作者: Reverie 時間: 2025-3-24 14:25
Tatiana Aires Tavares,Damian Schofield detect changes in multi-temporal satellite images with good accuracy. To show the effectiveness, the comparisons with some other methods from state-of-the-art are shown on multitemporal images captured by Radarsat1 satellite SAR on the Ottawa area.作者: 食物 時間: 2025-3-24 17:30
Media Convergence Handbook - Vol. 2izens. In this work we present a new model for analyzing public opinion on social media platforms especially Twitter about climate change subject, we adopted the Sentiment Analysis technique, which is a field of natural language processing, we provided an effective model based on Convolutional Neura作者: ADORN 時間: 2025-3-24 19:00 作者: Debate 時間: 2025-3-24 23:52
978-3-031-06457-9Springer Nature Switzerland AG 2022作者: prosperity 時間: 2025-3-25 04:40 作者: SPASM 時間: 2025-3-25 09:25
Business Intelligence978-3-031-06458-6Series ISSN 1865-1348 Series E-ISSN 1865-1356 作者: BABY 時間: 2025-3-25 14:19 作者: AGONY 時間: 2025-3-25 19:24 作者: 糾纏,纏繞 時間: 2025-3-26 00:02
Alberto Del Bimbo,Pietro Pala,Enrico Vicariommon diseases known as early blight and late blight. The early detection of these diseases then the application of the appropriate treatment can prevent economic loss and save a lot of waste. The treatments for early blight and late blight are different thus it’s important that we should accurately 作者: 補充 時間: 2025-3-26 01:36 作者: 新娘 時間: 2025-3-26 06:32 作者: Bmd955 時間: 2025-3-26 12:23
Mediated Public Connection: Broad Dynamicsation between same expression, computational complexity, and it requires a large amount of data. This paper presents a novel approach to the FER task. We are motivated by the success of Vision Transformer (ViT) and the Convolutional Neural Network (CNN) on image classification in general and facial 作者: 正式演說 時間: 2025-3-26 13:35
Nick Couldry,Sonia Livingstone,Tim Markhamne learning industry is also switching to this technology providing promising solutions such as Google Cloud Artificial Intelligence, Amazon Web Services, and Microsoft Azure Machine Learning. With the adoption of the cloud technology for nowadays computer transactions and operations, a cloud IDS so作者: Ovulation 時間: 2025-3-26 17:23 作者: 洞穴 時間: 2025-3-26 21:47 作者: 公豬 時間: 2025-3-27 02:32 作者: PON 時間: 2025-3-27 08:48
https://doi.org/10.1007/978-3-642-54484-2ct diseases. Deep Learning and Transfer Learning classifiers are within emergent technologies that impact health care. In this paper, we used Transfer Learning and Convolutional Neural Network to classify and detect the Intracranial hemorrhage (ICH). The performance of the used classifiers is evalua作者: ALERT 時間: 2025-3-27 11:31
Martin Ebner,Sandra Sch?n,Aldi Alimucaj staff and instructional designers invest significant time and resources in creating these videos. With instructional videos, they want to increase student involvement. Without formative assessment, however, actual engagement is hard to quantify. Nonetheless, a large number of students necessitates 作者: Dappled 時間: 2025-3-27 15:02 作者: Fierce 時間: 2025-3-27 21:12
https://doi.org/10.1007/978-3-642-54487-3s, and more particularly in Automatic Text Summarization (ATS). Several advances related to this technique were made in recent years for both extractive and abstractive approaches, notably with the advent of sequence-to-sequence (seq2seq) and Transformers-based models. In spite of this, the Arabic l作者: Nomadic 時間: 2025-3-27 23:24
Tatiana Aires Tavares,Damian Schofieldficant research domain to understand the changes in land-cover, it provides important knowledge and data to be used in many other fields such as land-cover analyses, mapping generation, planning traffics, etc. This paper describes and evaluates an unsupervised method for change detection in satellit作者: CYN 時間: 2025-3-28 04:37
Media Convergence Handbook - Vol. 2ery year, hence people are more and more complaining about this phenomenon, some of them believe that climate change is happening, and we should worry and act about it. Despite that, the Intergovernmental Panel on Climate Change (IPCC) confirms that global warming is real and causes climate change, 作者: Antecedent 時間: 2025-3-28 09:09 作者: Amorous 時間: 2025-3-28 13:30
https://doi.org/10.1007/978-3-319-51289-1s an important element for many NLP applications, including machine translation, sentiment analysis, and text summarization. It consists in identifying the very likely tag (noun, verb or particle, adverbs, adjectives etc.) for each word in a given text. The goal of this research is to conduct a syst作者: 同時發(fā)生 時間: 2025-3-28 16:47
1865-1348 y were organized in topical sections as follows: decision support and artificial intelligence; business intelligence and database; and optimization and dynamic programming..978-3-031-06457-9978-3-031-06458-6Series ISSN 1865-1348 Series E-ISSN 1865-1356 作者: phytochemicals 時間: 2025-3-28 21:36
https://doi.org/10.1007/978-3-642-54484-2ted and compared on the Intracranial Hemorrhage Dataset that contains 2814 images. The results show that the detection accuracy of Transfer Learning with Inception V3, which achieves 88.97%, is superior to that of the Convolutional neural network.作者: 解脫 時間: 2025-3-29 01:53 作者: conscience 時間: 2025-3-29 05:01
Mark Eisenegger,Mario Schranz,Angelo GislerCS-MC4 algorithms are presented. These algorithms are evaluated using Recall, precision and F-measure. Experimental results show that AD-Tree is faster and present higher accuracy than the other classifier using a Diabetes data set.作者: 腐敗 時間: 2025-3-29 10:43 作者: stressors 時間: 2025-3-29 15:12 作者: 不規(guī)則 時間: 2025-3-29 18:33 作者: conservative 時間: 2025-3-29 21:11
Facial Expression Recognition Using a?Hybrid ViT-CNN AggregatorN architecture when merged by different merging layers. The proposed approach is tested on the FER2013 and CK+ data sets. Experimental results demonstrate the high performance of the Average Merging Layer (AML), and our method outperforms state-of-the-art methods on FER2013 and CK+.作者: circuit 時間: 2025-3-30 00:22 作者: 骯臟 時間: 2025-3-30 04:50
How far can Deep Learning Improve Arabic Part of Speech Tagging? develop POS taggers for the Arabic language. After multiple exclusion steps 12 articles were selected for a full review. Results show that Long Short-Term Memory (LSTM) and its extension Bidirectional LSTM (Bi-LSTM) models are the most used DL techniques for Arabic POS tagging, and they give better results according to the reviewed papers.作者: 思考而得 時間: 2025-3-30 10:30 作者: 污穢 時間: 2025-3-30 13:18
Mining Frequents Itemset and Association Rules in Diabetic Datasetction of association rules by FP-Growth algorithm and its variants using a diabetic dataset, which are the CFP-Growth and ICFP-Growth. Experimental results show that the ICFP-Growth is more accurate than CFP-Growth and FP-Growth.作者: Longitude 時間: 2025-3-30 19:46 作者: SKIFF 時間: 2025-3-30 23:08 作者: Fatten 時間: 2025-3-31 04:08
1865-1348 , Morocco, during May 26-28, 2022. ..The 23 full papers included in this book were carefully reviewed and selected from a total of 68 submissions. They were organized in topical sections as follows: decision support and artificial intelligence; business intelligence and database; and optimization an作者: Control-Group 時間: 2025-3-31 07:46
Alberto Del Bimbo,Pietro Pala,Enrico Vicariot diseases based on convolutional neural networks using one of the most widely used datasets. The model should be a solution that enables farmers to identify the early blight and late blight diseases present in their potato plants thus they can choose the appropriate treatment.作者: PET-scan 時間: 2025-3-31 10:20 作者: chronicle 時間: 2025-3-31 13:22
A Convolutional Neural Networks-Based Approach for Potato Disease Classificationt diseases based on convolutional neural networks using one of the most widely used datasets. The model should be a solution that enables farmers to identify the early blight and late blight diseases present in their potato plants thus they can choose the appropriate treatment.作者: Allergic 時間: 2025-3-31 21:28 作者: Banquet 時間: 2025-3-31 22:03
Optimization Focused on?Parallel Fuzzy Deep Belief Neural Network for?Opinion Mininge data quality and remove noisy data. Then, we have applied a semi-automatic data labeling over the dataset by combining two techniques: Vader lexicon and Mamdani’s fuzzy system. In addition, we have used four extraction techniques, which are: TFIDF (Unigram), TFIDF (Bigram), TFIDF (Trigram) and Glo作者: 砍伐 時間: 2025-4-1 05:00 作者: 無法破譯 時間: 2025-4-1 09:39 作者: Congregate 時間: 2025-4-1 11:57
Decision Boundary to Improve the Sensitivity of Deep Neural Networks Modelsf minor information perturbations. In particular, the presence of contradictory examples causes a big weakness and insufficiency of deep learning models in many areas, such as illness recognition. The aim of our paper is to improve the robustness of deep neural network models to small input perturba作者: 露天歷史劇 時間: 2025-4-1 15:48
Facial Expression Recognition Using a?Hybrid ViT-CNN Aggregatoration between same expression, computational complexity, and it requires a large amount of data. This paper presents a novel approach to the FER task. We are motivated by the success of Vision Transformer (ViT) and the Convolutional Neural Network (CNN) on image classification in general and facial 作者: 糾纏,纏繞 時間: 2025-4-1 22:08
