標(biāo)題: Titlebook: AI and Multimodal Services– AIMS 2024; 13th International C Xiuqin Pan,Mengxing Huang,Liang-Jie Zhang Conference proceedings 2025 The Edito [打印本頁] 作者: Jackson 時間: 2025-3-21 19:05
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書目名稱AI and Multimodal Services– AIMS 2024讀者反饋學(xué)科排名
作者: 人類 時間: 2025-3-21 22:19 作者: 金盤是高原 時間: 2025-3-22 03:44 作者: 跟隨 時間: 2025-3-22 06:24 作者: 神化怪物 時間: 2025-3-22 10:39
MRCJE: A Machine Reading Comprehension Framework with?Joint Coding for?Emotion-Cause Pair Extractiontypically employ sequential encoding of features in a predetermined order, which results in imbalanced feature interactions between tasks, whereby information can only flow from the . clause encoder to the pair encoder. Additionally, the approach is not sensitive to long-distance ., and the relative作者: 注意力集中 時間: 2025-3-22 15:16 作者: Compass 時間: 2025-3-22 19:24 作者: 壯觀的游行 時間: 2025-3-22 22:58 作者: LAY 時間: 2025-3-23 02:43 作者: glamor 時間: 2025-3-23 09:07
978-3-031-77680-9The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: 構(gòu)成 時間: 2025-3-23 13:25 作者: Inelasticity 時間: 2025-3-23 16:52
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/b/image/167089.jpg作者: 談判 時間: 2025-3-23 20:35 作者: debunk 時間: 2025-3-24 00:39
Steffen Hillebrecht,Anke-Andrea Peinigerce (AI) models limit their reliability for critical decisions. This paper proposes a paradigm shift from conventional data-driven to causal model-driven decision-making, leveraging advancements in causal inference and large language models (LLMs). By applying the capabilities of generative AI, this 作者: 上釉彩 時間: 2025-3-24 03:55 作者: URN 時間: 2025-3-24 10:07
Grundkurs Physik Band 2: Mechanik, yoga, which integrates physical, mental, and spiritual practices, has gained significant popularity. Correct yoga poses are crucial for achieving optimal results. Therefore, accurate recognition and classification of yoga poses are of great importance to practitioners..This paper introduces a nove作者: 忍受 時間: 2025-3-24 11:56
Grundkurs Physik Band 2: Mechanikels, such as T5, often fall short in producing diverse arguments, leading to a lack of depth and diversity in debate simulations. To address this, we developed a method integrating perspective features into the dataset and leveraging the pre-trained Mengzi-T5 model to generate compelling arguments f作者: jaunty 時間: 2025-3-24 16:33
,Ergebnisse pr?sentieren — das Referat,typically employ sequential encoding of features in a predetermined order, which results in imbalanced feature interactions between tasks, whereby information can only flow from the . clause encoder to the pair encoder. Additionally, the approach is not sensitive to long-distance ., and the relative作者: 是限制 時間: 2025-3-24 22:29 作者: 過濾 時間: 2025-3-25 01:55
https://doi.org/10.1007/978-3-663-10209-0n that can provide insights into the system, but dealing with text feedback as unstructured data is difficult. This study utilizes advanced machine learning algorithms and statistics to enhance data quality and analyze customer feedback on Giao Hang Tiet Kiem services. Using a dataset of 12,624 cust作者: superfluous 時間: 2025-3-25 06:57 作者: Cloudburst 時間: 2025-3-25 11:01 作者: APO 時間: 2025-3-25 13:56 作者: Arthr- 時間: 2025-3-25 15:55
XcepSENet: An Intelligent Yoga Pose Classification System Based on Mediapipedataset, the XcepSENet network is compared with three deep learning models—VGG16, InceptionV3, and MobileNetV2—evaluating metrics such as accuracy, precision, recall, and F1 score to draw conclusions, To prove that the model can provide feedback more timely and accurately to achieve higher training 作者: Detoxification 時間: 2025-3-25 23:16 作者: 暴露他抗議 時間: 2025-3-26 00:49
AI Value Protocol: Utilizing Blockchain to Promote AI AIVPal for significant positive impact. Blockchain technology is employed to securely record the details and assessments of these projects, providing a transparent and tamper-proof history of their development. The second step, AI Verification, focuses on ensuring the reliability, accuracy, and ethical 作者: Inordinate 時間: 2025-3-26 07:32
Flood Inundation Range Prediction Method Based on SRR-Informer, the SRR algorithm is used to select the representative locations that are easy to be inundated in the basin, which reduces the number of locations required for spatial modeling of flood inundation range and the corresponding data requirements. The experimental results show that this method can imp作者: 搖曳 時間: 2025-3-26 09:48
Steffen Hillebrecht,Anke-Andrea Peinigerethodology for constructing robust causal model-driven decision frameworks, emphasizing the comprehensive utilization of generative AI to incorporate domain knowledge with causal inferences. Through an in-depth analysis of case studies across multiple domains, this model-driven approach empirically 作者: 比喻好 時間: 2025-3-26 16:15
Steffen W. Hillebrecht,Anke-Andrea Peiniger of features and attention enhancement. In addition, we introduce gated cross network instead of FM modules in the feature interaction layer to capture higher-order explicit feature interactions. Comprehensive experimental results on Frappe and Malware datasets demonstrate the effectiveness and supe作者: 矛盾心理 時間: 2025-3-26 19:06 作者: 聯(lián)合 時間: 2025-3-27 00:46
,Ergebnisse pr?sentieren — das Referat,etween clauses and pairs, and generates both pairs and clause features to model causal relationships in clauses, balancing the information flow between emotion clauses, cause clauses and pairs. The method was experimentally demonstrated on a Chinese benchmark corpus, and the results demonstrated tha作者: 很像弓] 時間: 2025-3-27 01:24
,Prüfungen — (k)ein Grund zur Sorge?,al for significant positive impact. Blockchain technology is employed to securely record the details and assessments of these projects, providing a transparent and tamper-proof history of their development. The second step, AI Verification, focuses on ensuring the reliability, accuracy, and ethical 作者: 責(zé)問 時間: 2025-3-27 07:02 作者: Scleroderma 時間: 2025-3-27 10:36 作者: 裁決 時間: 2025-3-27 15:30 作者: Semblance 時間: 2025-3-27 19:50
https://doi.org/10.1007/978-3-663-10209-0 enhance the predictive performance and raise accuracy to 0.98205. Afterward, we created a web application that uses Streamlit technology to provide real-time sentiment analysis. This comprehensive approach provides useful insights into improving service quality and customer satisfaction.作者: vocation 時間: 2025-3-28 01:40
Arg-T5: A Multi-perspective Argument Generation Method Based on Debate Topicour approach. The outcomes underscore a notable enhancement in argument diversity, addressing a pivotal challenge within computational argumentation. Our work contributes to advancing text generation and computational argumentation, offering a new solution for generating rich and varied debate content.作者: vasculitis 時間: 2025-3-28 04:42
Enhancing Customer Sentiment Analysis: A Hybrid Approach Using VADER and Machine Learning Techniques enhance the predictive performance and raise accuracy to 0.98205. Afterward, we created a web application that uses Streamlit technology to provide real-time sentiment analysis. This comprehensive approach provides useful insights into improving service quality and customer satisfaction.作者: 嘴唇可修剪 時間: 2025-3-28 07:08
0302-9743 paper included in this book were carefully reviewed and selected from 16 submissions. They were organized in topical sections as follows: research track; application track; and short paper track..978-3-031-77680-9978-3-031-77681-6Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: Mri485 時間: 2025-3-28 12:18 作者: 混雜人 時間: 2025-3-28 15:50 作者: 高度表 時間: 2025-3-28 21:29 作者: 下邊深陷 時間: 2025-3-29 02:14
Content-Based Image Retrieval: An Introduction,val and content-based image retrieval techniques are introduced. A brief introduction to visual features like color, texture, and shape is provided. Similarity measures used in content-based image retrieval and performance evaluation of content-based image retrieval techniques are also given. Import
