• Suche: Working with Algorithms in Python

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121

Attention is all water need: Multistep time series irrigation water demand forecasting in irrigation disctrics
González Perea, R. ; Camacho Poyato, E. ; Rodríguez Díaz, J.A.
In Computers and Electronics in Agriculture March 2024 218

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122

Reaction Templates: Bridging Synthesis Knowledge and Artificial Intelligence
Chen, Shuan ; Noh, Juhwan ; Jang, Jidon ; et al.
Accounts of Chemical Research. 57(14):1964-1972

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123

Software architecture and manual for novel versatile CT image analysis toolbox -- AnatomyArchive
Xu, Lei ; Brismar, Torkel B

Image and Video Processi... Computer Vision and Patt... 62H35, 68U10 I.4.10; I.4.7; J.3
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124

Predictive analytics of heart disease presence with feature importance based on machine learning algorithms.
Kolukula, Nitalaksheswara Rao ; Pothineni, Prathap Nayudu ; Krishna Chinta, Venkata Murali ; et al.
Indonesian Journal of Electrical Engineering & Computer Science; Nov2023, Vol. 32 Issue 2, p1070-1077, 8p

MACHINE learning HEART diseases HEART disease diagnosis MEDICAL personnel HEART failure PYTHON programming langu...
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125

A systematic review on hyperspectral imaging technology with a machine and deep learning methodology for agricultural applications
Khan, Atiya ; Vibhute, Amol D. ; Mali, Shankar ; et al.
In Ecological Informatics July 2022 69

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126

RecGen: No-Coding Shell of Rule-Based Expert System with Digital Twin and Capability-Driven Approach Elements for Building Recommendation Systems.
Kodors, Sergejs ; Apeinans, Ilmars ; Zarembo, Imants ; et al.
Applied Sciences (2076-3417); Oct2025, Vol. 15 Issue 19, p10482, 20p

EXPERT systems RECOMMENDER systems CLUSTERING algorithms LANGUAGE models FOOD waste RESEARCH methodology …
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127

Comparing neural‐ and N‐gram‐based language models for word segmentation.
Doval, Yerai ; Gómez‐Rodríguez, Carlos
Journal of the Association for Information Science & Technology. Feb2019, Vol. 70 Issue 2, p187-197. 11p. 2 Diagrams, 5 Charts, 2 Graphs.

Algorithms Language acquisition Phonological awareness Statistical models
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128

OTSLM toolbox for Structured Light Methods
Lenton, Isaac C.D. ; Stilgoe, Alexander B. ; Nieminen, Timo A. ; et al.
In Computer Physics Communications August 2020 253

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129

基于数值优化的修正剑桥模型参数反演软件开发与适用性评估. (Chinese)
张雨蓉 ; 曹永华 ; 樊明尊 ; et al.
China Harbour Engineering; Sep2025, Vol. 45 Issue 9, p17-23, 7p

OPTIMIZATION algorithms MECHANICAL models SOFTWARE visualization CLAY SOILS
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130

The design of dynamic ensemble selection strategy for the error-correcting output codes family
Zou, Jia-Yu ; Sun, Meng-Xin ; Liu, Kun-Hong ; et al.
In Information Sciences September 2021 571:1-23

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131

A Newly Developed Algorithm for Cloud Shadow Detection—TIP Method.
Zekoll, Viktoria ; de los Reyes, Raquel ; Richter, Rudolf
Remote Sensing; Jun2022, Vol. 14 Issue 12, pN.PAG-N.PAG, 15p

REMOTE-sensing images MULTISPECTRAL imaging ALGORITHMS INTEGRATED software PYTHON programming langu...
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132

LOESS radiometric correction for contiguous scenes (LORACCS): Improving the consistency of radiometry in high-resolution satellite image mosaics
Wegmueller, Sarah A. ; Leach, Nicholas R. ; Townsend, Philip A.
In International Journal of Applied Earth Observation and Geoinformation May 2021 97

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133

A2Sign: Agnostic Algorithms for Signatures—a universal method for identifying molecular signatures from transcriptomic datasets prior to cell-type deconvolution.
Boldina, Galina ; Fogel, Paul ; Rocher, Corinne ; et al.
Bioinformatics; 2/15/2022, Vol. 38 Issue 4, p1015-1021, 7p

TRANSCRIPTOMES ALGORITHMS BIOMATERIALS PYTHON programming langu... DECONVOLUTION (Mathemati... RNA sequencing
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134

Python machine learning tips, tricks, and techniques
Packt Publishing, production company.

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135

Reinforcement learning in free-form stamping of sheet-metals
Liu, Shiming ; Shi, Zhusheng ; Lin, Jianguo ; et al.
In Procedia Manufacturing 2020 50:444-449

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136

CLASV: Rapid Lassa virus lineage assignment with random forest.
Daodu, Richard Olumide ; Awotoro, Ebenezer ; Ulrich, Jens-Uwe ; et al.
PLoS Neglected Tropical Diseases; 9/9/2025, Vol. 19 Issue 9, p1-13, 13p

WEST Africa LASSA fever MACHINE learning PHYLOGENY DISEASE outbreaks PUBLIC health …
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137

Solving spatial inverse problems using the probability perturbation method: An S-GEMS implementation
Li, Ting ; Caers, Jef
In Computers and Geosciences 2008 34(9):1127-1141

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138

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139

Feature-ranked self-growing forest: a tree ensemble based on structure diversity for classification and regression.
Carino-Escobar, Ruben I. ; Alonso-Silverio, Gustavo A. ; Alarcón-Paredes, Antonio ; et al.
Neural Computing & Applications; May2023, Vol. 35 Issue 13, p9285-9298, 14p

RANDOM forest algorithms REGRESSION trees TREE growth COMPUTATIONAL complexity MACHINE learning PYTHON programming langu...
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140

eeglib: A Python module for EEG feature extraction
Cabañero-Gomez, Luis ; Hervas, Ramon ; Gonzalez, Ivan ; et al.
In SoftwareX July 2021 15

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