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检索条件"丛书名=Communications in Computer and Information Science"
43673 条 记 录,以下是1281-1290 订阅
排序:
Negative Affective State Vocalization Analysis of Dairy Cattle Using 3D MFCC Features with CNN-LSTM Model on an Edge Device  2nd
Negative Affective State Vocalization Analysis of Dairy Catt...
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2nd International Conference on Agriculture-Centric Computation
作者: Ramrakhiyani, Hitesh Arjunbhai Pandey, Sandeep Kumar Sreenivasalu, N. S. Shekhawat, Hanumant Singh Jasuja, Ravi Indian Inst Technol Guwahati Gauhati India Samsung R&D Inst Bangalore Bangalore Karnataka India Harvard Med Sch Brigham & Womens Hosp Boston MA USA XYonetx Therapeut Bangalore Karnataka India
Understanding livestock's emotional states (affective states) is crucial, and vocalizations offer a promising avenue for non-invasive assessment. While research has explored vocal indicators in pigs, horses, poult... 详细信息
来源: 评论
An Optimal Scheduling Algorithm for Intelligent Embedded Heterogeneous Multicore System  4th
An Optimal Scheduling Algorithm for Intelligent Embedded Het...
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4th International Conference on Artificial Intelligence Logic and Applications
作者: Chen, Xinyu Huang, Guopeng Chen, Yixiang East China Normal Univ Natl Engn Res Ctr Trustworthy Embedded Software Shanghai 200062 Peoples R China
The intelligent embedded system is a computing system combining artificial intelligence science and embedded technology, the system combines general-purpose processor and FPGA to achieve stronger processing capability... 详细信息
来源: 评论
Ensemble Learning with Feature Fusion for Well-Overflow Detection  5th
Ensemble Learning with Feature Fusion for Well-Overflow Dete...
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5th International Conference on Neural Computing for Advanced Applications (NCAA)
作者: Cui, Ziliang Liu, Li Xiong, Yinzhou Liu, Yinguo Su, Yu Man, Zhimin Wang, Ye Chongqing Univ Posts & Telecommun Chongqing Peoples R China Chongqing Energy Big Data Ctr Co Ltd Chongqing Peoples R China Shandong Zibo Polytech Vocat Sch Chongqing Peoples R China
Traditional methods for kick prediction rely on experience and basic physical models, but they struggle to maintain high accuracy under complex well conditions and varying geological environments. Moreover, convention... 详细信息
来源: 评论
Text Classification Experiments on Contextual Graphs Built by N-Gram Series  4th
Text Classification Experiments on Contextual Graphs Built b...
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4th International Conference on Intelligent Systems and Pattern Recognition-ISPR
作者: Sen, Tarik Uveys Yakit, Mehmet Can Gumus, Mehmet Semih Abar, Orhan Bakal, Gokhan Abdullah Gul Univ TR-38080 Kayseri Turkiye Osmaniye Korkut Ata Univ TR-80000 Osmaniye Turkiye
Traditional n-gram textual features, commonly employed in conventional machine learning models, offer lower performance rates on high-volume datasets compared to modern deep learning algorithms, which have been intens... 详细信息
来源: 评论
Advancing Circularity Through Digital Transformation: Harnessing Life Cycle Assessment  5th
Advancing Circularity Through Digital Transformation: Harnes...
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5th 5th Olympus - International Conference on Supply Chain
作者: Koidis, Christos Kalaitzidis, Athanasios Tsampoulatidis, Ioannis Makavou, Kassandra Bantsos, Athanasios Aptalidis, Irodotos Achillas, Charisios Aidonis, Dimitrios Engineers Business SA EFB Dekatis Evdomis Noemvriou 79 Thessaloniki 55534 Greece Int Hellen Univ Kanelopoulou 2 Katerini 60100 Greece
In the pursuit of sustainable production and supply chains, integrating Life Cycle Assessment (LCA) within digital platforms has been identified as a critical strategy for industries aiming to reduce their environment... 详细信息
来源: 评论
GRAM: Graph Regularizable Assessment Metric  1st
GRAM: Graph Regularizable Assessment Metric
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1st MICCAI Meets Africa Workshop
作者: Touihri, Mariem Nebli, Ahmed Univ Manouba Higher Sch Digital Econ ESEN Ariana Tunisia
Here, we propose the Graph Regularizable Assessment Metric (GRAM), a customizable tool for evaluating the quality of generated brain graphs. Current geometric deep learning methods often lack robust quantification tec... 详细信息
来源: 评论
Navigating the Edge: A Comprehensive Comparison of Machine Learning Algorithms on Prominent Edge Platforms  4th
Navigating the Edge: A Comprehensive Comparison of Machine L...
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4th International Conference on Intelligent Systems and Pattern Recognition-ISPR
作者: Sayed, Aya Nabil Al-Hasan, Tamim Mahmud Bensaali, Faycal Nhlabatsi, Armstrong Qatar Univ Dept Elect Engn Coll Engn Doha Qatar Qatar Univ Coll Engn KINDI Ctr Comp Res Doha Qatar
As the demand for deploying Machine Learning (ML) and Deep Learning (DL) models at the network's edge continues to grow, it becomes imperative to evaluate and compare the performance of various edge platforms. Thi... 详细信息
来源: 评论
Adaptive Edge-Based AIoT Architecture for Efficient Retraining and Sustainable Monitoring of Ephemeral Streams  11th
Adaptive Edge-Based AIoT Architecture for Efficient Retraini...
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11th Latin American Conference on High Performance Computing
作者: Arratia, Benjamin Cecilia, Jose M. Manzoni, Pietro Hernandez, Daniel Zennaro, Marco Univ Politecn Valencia Dept Comp Engn DISCA Valencia Spain Sciling S L Valencia Spain Abdus Salam Int Ctr Theoret Phys ICTP Trieste Italy
Monitoring water flows in highly anthropized ecosystems is crucial for assessing eutrophication in water bodies. Ephemeral streams in semi-arid areas present significant challenges for environmental monitoring due to ... 详细信息
来源: 评论
Linking Clinical information to ICF: Inter- and Intra-Rater Agreement When Using a Coding Platform  1
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4th International Conference on Advanced Research in Technologies information Innovation and Sustainability-ARTIIS-Annual
作者: Alvarelhao, Joaquim Caravau, Hilma Rosa, Ana Filipa Rocha, Nelson Pacheco Univ Aveiro Sch Hlth Sci P-3810193 Aveiro Portugal Univ Aveiro Dept Med Sci IEETA P-3810193 Aveiro Portugal
Mapping information to the International Classification of Functioning, Disability, and Health (ICF) continues to pose a challenge for different health professionals, especially in clinical practice contexts, but tool... 详细信息
来源: 评论
Trustworthiness for Deep Learning Based Breast Cancer Detection Using Point-of-Care Ultrasound Imaging in Low-Resource Settings  1st
Trustworthiness for Deep Learning Based Breast Cancer Detect...
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1st MICCAI Meets Africa Workshop
作者: Wodrich, Marisa Karlsson, Jennie Lang, Kristina Arvidsson, Ida Lund Univ Ctr Math Sci Lund Sweden Lund Univ Div Diagnost Radiol Dept Translat Med Lund Sweden Skane Univ Hosp Unilabs Mammog Unit Malmo Sweden
Poor survival for breast cancer in low- and middle-income countries is largely attributed to late-stage diagnosis and limited access to diagnostic tools. Therefore, we propose using point-of-care ultrasound (POCUS) as... 详细信息
来源: 评论