Treffer 61 - 80 von 778

61

烟叶素质采集装置设计与试验. (Chinese)
李昌根 ; 吴飞跃 ; 李静超 ; et al.
Journal of Northwest A & F University - Natural Science Edition; Jun2025, Vol. 53 Issue 6, p145-156, 12p

RANDOM forest algorithms MACHINE learning COLOR space COMPUTER vision AUTOMATIC identification
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62

Sketch Interface for Teleoperation of Mobile Manipulator to Enable Intuitive and Intended Operation: A Proof of Concept
Iwanaga, Yuka ; Tsuchinaga, Masayoshi ; Tanada, Kosei ; et al.

Computer Science - Robot... Computer Science - Human...
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63

Models of Gender Dysphoria Using Social Media Data for Use in Technology-Delivered Interventions: Machine Learning and Natural Language Processing Validation Study.
Cascalheira, Cory J ; Flinn, Ryan E ; Zhao, Yuxuan ; et al.
JMIR Formative Research; 2023, Vol. 7 Issue 1, p1-16, 16p

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64

The Platformization of Labor and Society
Casilli, Antonio, A. ; Posada, Julian ; Institut interdisciplinaire de l’innovation de Telecom Paris (I3 SES) ; et al.
Mark Graham & William H. Dutton. Society and the Internet. How Networks of Information and Communication are Changing Our Lives (second edition). :293-306

platformization data algorithms automation digital labor [SHS.SOCIO]Humanities an...
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65

Learning OpenCV 3 Computer Vision with Python - Second Edition Ed. 2
Minichino, Joe ; Howse, Joseph ; Minichino, Joe ; et al.

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66

A machine learning-based risk warning platform for potentially inappropriate prescriptions for elderly patients with cardiovascular disease.
Wu Xingwei ; Chang Huan ; Li Mengting ; et al.
Frontiers in Pharmacology; 8/11/2022, Vol. 13, p1-12, 12p

INAPPROPRIATE prescribin... OLDER patients FEATURE selection RECEIVER operating chara... DRUG side effects CARDIOVASCULAR diseases
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67

Evolutionary multi-objective optimization of artificial neural network for classification of autism spectrum disorder screening.
Abitha, R. ; Vennila, S. Mary ; Zaheer, I. Mohamed
Journal of Supercomputing; Jun2022, Vol. 78 Issue 9, p11640-11656, 17p

ARTIFICIAL neural networ... AUTISM spectrum disorder... MEDICAL screening AUTISM in children EVOLUTIONARY computation EVOLUTIONARY algorithms
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68

基于深度学习的二值图像目标轮廓识别算法. (Chinese)
李 菊 霞
Journal of Jilin University (Science Edition) / Jilin Daxue Xuebao (Lixue Ban); Sep2020, Vol. 58 Issue 5, p1189-1194, 6p

ALGORITHMS MACHINE learning SIGNAL-to-noise ratio COST functions IMAGE recognition (Compu... SIGNAL convolution
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69

Clojure Data Analysis Cookbook - Second Edition Ed. 2
Rochester, Eric ; Rochester, Eric ; Rochester, Eric ; et al.

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70

Machine Learning: A Constraint-Based Approach
Gori M. ; Betti A. ; Melacci S. ; et al.

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71

Machine Learning for Algorithmic Trading
Jansen, Stefan ; Jansen, Stefan ; Jansen, Stefan ; et al.

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72

The prediction of hospital length of stay using unstructured data.
Chrusciel, Jan ; Girardon, François ; Roquette, Lucien ; et al.
BMC Medical Informatics & Decision Making; 12/18/2021, Vol. 21 Issue 1, p1-9, 9p

LENGTH of stay in hospit... INTENSIVE care patients RANDOM forest algorithms ELECTRONIC health record... NOSOLOGY INTENSIVE care units
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73

深度学习算法在角膜荧光染色分级评估中的应用. (Chinese)
赵雨暄 ; 张啸云 ; 杨 必 ; et al.
Journal of Sichuan University (Medical Science Edition); 2023, Vol. 54 Issue 5, p908-914, 7p

ARTIFICIAL intelligence CORNEA
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75

Emotion Processing and Regulation in People with Intellectual Disability (EPRID)
Christian Rück, Professor
Emotion Processing and Regulation in People with Intellectual Disability
Linehan MM, Wilks CR. The Course and Evolution of Dialectical Behavior Therapy. Am J Psychother. 2015;69(2):97-110. doi: 10.1176/appi.psychotherapy.2015.69.2.97.
Jahoda A, Dagnan D, Hastings R, Gillooly A, Miller J, Baines S, Hatton C. Adapting psychological interventions for people with severe and profound intellectual disabilities: A behavioural activation exemplar. J Appl Res Intellect Disabil. 2024 Mar;37(2):e13199. doi: 10.1111/jar.13199.
Campos-Jara R, Martinez-Salazar C, Campos-Jara C, Fernandez JM, Martinez-Garcia D, Contreras-Osorio F. Pharmacological treatment for challenging behavior in adults with intellectual disability: Systematic review and meta-analysis. Span J Psychiatry Ment Health. 2024 Oct-Dec;17(4):231-238. doi: 10.1016/j.rpsm.2023.01.003. Epub 2023 Jan 31.
Kleberg JL, Willfors C, Bjorlin Avdic H, Riby D, Galazka MA, Guath M, Nordgren A, Strannegard C. Social feedback enhances learning in Williams syndrome. Sci Rep. 2023 Jan 4;13(1):164. doi: 10.1038/s41598-022-26055-8.
Garrison J, Erdeniz B, Done J. Prediction error in reinforcement learning: a meta-analysis of neuroimaging studies. Neurosci Biobehav Rev. 2013 Aug;37(7):1297-310. doi: 10.1016/j.neubiorev.2013.03.023. Epub 2013 Apr 6.
Subramanian A, Chitlangia S, Baths V. Reinforcement learning and its connections with neuroscience and psychology. Neural Netw. 2022 Jan;145:271-287. doi: 10.1016/j.neunet.2021.10.003. Epub 2021 Oct 22.
Littlewood M, Dagnan D, Rodgers J. Exploring the emotion regulation strategies used by adults with intellectual disabilities. Int J Dev Disabil. 2018 Jun 8;64(3):204-211. doi: 10.1080/20473869.2018.1466510.
Samson AC, Sokhn N, Van Herwegen J, Dukes D. An exploratory study on emotion regulation strategy use in individuals with Williams syndrome, autism spectrum disorder and intellectual disability. Front Psychiatry. 2022 Nov 23;13:940872. doi: 10.3389/fpsyt.2022.940872. eCollection 2022.
Jenner LA, Farran EK, Welham A, Jones C, Moss J. The use of eye-tracking technology as a tool to evaluate social cognition in people with an intellectual disability: a systematic review and meta-analysis. J Neurodev Disord. 2023 Dec 4;15(1):42. doi: 10.1186/s11689-023-09506-9.
Scotland JL, McKenzie K, Cossar J, Murray A, Michie A. Recognition of facial expressions of emotion by adults with intellectual disability: Is there evidence for the emotion specificity hypothesis? Res Dev Disabil. 2016 Jan;48:69-78. doi: 10.1016/j.ridd.2015.10.018. Epub 2015 Nov 5.
Hermann H, Berndt N, Lytochkin A, Sappok T. Behavioural phenomena in persons with an intellectual developmental disorder according to the level of emotional development. J Intellect Disabil Res. 2022 May;66(5):483-498. doi: 10.1111/jir.12930. Epub 2022 Mar 31.

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76

基于多分支注意力孪生网络的目标跟踪算法. (Chinese)
余陆斌 ; 田联房 ; 杜启亮
Journal of South China University of Technology (Natural Science Edition); Dec2022, Vol. 50 Issue 12, p30-40, 11p

ARTIFICIAL neural networ... DEEP learning DATA augmentation COMPUTER vision TRACKING algorithms FEATURE extraction
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77

Lost circulation early warning model based on heterogeneous integration.
GONG Wenhao ; LI Chaowei ; LI Dong ; et al.
Journal of Changzhou University (Natural Science Edition) / Changzhou Daxue Xuebao (Ziran Kexue Ban); Mar2024, Vol. 36 Issue 2, p39-47, 9p

QINGHAI Sheng (China) ARTIFICIAL neural networ... MACHINE learning SUPPORT vector machines RANDOM forest algorithms BACK propagation
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78

Natural Language Processing for Headache Medicine
Natural Language Processing for Headache Medicine
Vandenbussche N, Van Hee C, Hoste V, Paemeleire K. Using natural language processing to automatically classify written self-reported narratives by patients with migraine or cluster headache. J Headache Pain. 2022 Sep 30;23(1):129. doi: 10.1186/s10194-022-01490-0.

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79

Machine Learning for OpenCV 4
Sharma, Aditya ; Shrimali, Vishwesh Ravi ; Beyeler, Michael ; et al.

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80

Python Machine Learning Blueprints Ed. 2
Combs, Alexander ; Roman, Michael ; Combs, Alexander ; et al.

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