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81

Development of a decision-making module in the field of real estate rental using machine learning methods.
Mukhanova, Ayagoz ; Baitemirov, Madiyar ; Ignatovich, Artyom ; et al.
International Journal of Electrical & Computer Engineering (2088-8708); Oct2024, Vol. 14 Issue 5, p5430-5442, 13p

MACHINE learning DECISION support systems LINEAR systems REAL estate business DECISION making
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82

A different way to diagnosis acute appendicitis: machine learning.
Harmantepe, Ahmet Tarik ; Dikicier, Enis ; Gönüllü, Emre ; et al.
Polish Journal of Surgery. 2024, Vol. 96 Issue 2, p38-42. 5p.

MACHINE learning APPENDICITIS ARTIFICIAL neural networ... ARTIFICIAL intelligence SUPPORT vector machines APPENDECTOMY …
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83

Is Multitask Deep Learning Practical for Pharma?
Ramsundar, Bharath ; Liu, Bowen ; Wu, Zhenqin ; et al.
Journal of Chemical Information and Modeling. 57(8):2068-2076

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84

VHR Multispectral Satellite Image Classification with Kolmogorov-Arnold Networks for Urban Applications.
Fawzy, Mohamed ; Barsi, Árpád
ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences; 4/6/2025, Vol. 10 Issue G-2025, p245-252, 8p

REMOTE sensing LAND use mapping ARTIFICIAL neural networ... MACHINE learning REMOTE-sensing images MULTISPECTRAL imaging
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85

UTILIZING GIS, GPS, REMOTE SENSING, AND AI IN THE STUDY OF SOIL CHARACTERISTICS.
ZATSERKOVNYI, Vitaliy ; VOROKH, Victor ; HLOBA, Olga ; et al.
Visnyk of Taras Shevchenko National University of Kyiv. Geology; 2025, Vol. 3 Issue 110, p98-107, 10p

GEOGRAPHIC information s... REMOTE sensing AGRICULTURAL forecasts AGRICULTURAL technology SOIL structure ARTIFICIAL intelligence …
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86

Machine learning for Earth sciences: using Python to solve geological problems: by Maurizio Petrelli, Switzerland AG, Springer Nature, 2023, xvi+209 pp., 352 figures, 61 table, €79.99 (Hardcover Book), ISBN: 9783031351136.
Oktavia Suhyani, Neli
International Geology Review. Jun2025, Vol. 67 Issue 12, p1635-1636. 2p.

LASER ablation inductive... DEEP learning MACHINE learning ARTIFICIAL intelligence SUPERVISED learning DISTRIBUTED computing …
Rezension
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87

非洲猪瘟影响猪肉价格动态的大数据分析实验设计. (Chinese)
肖 莉 ; 刘福平 ; 朱奕洁 ; et al.
Experimental Technology & Management; May2023, Vol. 40 Issue 5, p63-70, 8p

VECTOR autoregression mo... PRICE fluctuations CLASSIFICATION algorithm... PUBLIC opinion VETERINARY epidemiology AFRICAN swine fever …
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88

Enhancing Dorsalgia Prediction using Neutrosophic Sets in a Genetic Algorithm-Optimized Hybrid CNN-LSTM Framework on Spinal Geometry Parameters.
Bedair, Khaled ; Omer, Nadir ; Abdellatif, Ahmed A. H. ; et al.
International Journal of Neutrosophic Science (IJNS); 2023, Vol. 22 Issue 3, p99-118, 20p

NEUTROSOPHIC logic MEDICAL care CONVOLUTIONAL neural net... MACHINE learning MACHINE theory
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89

Getting started with machine learning in Python
Packt Publishing, production company.

Video
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90

Chemometrics and Related Fields in Python
Morita, Shigeaki
Analytical Sciences. 36(1):107-111

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91

Static analysis driven enhancements for comprehension in machine learning notebooks
Venkatesh, Ashwin Prasad Shivarpatna ; Sabu, Samkutty ; Chekkapalli, Mouli ; et al.
Empirical Software Engineering: An International Journal. 29(5)

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92

Image shift correction, noise analysis, and model fitting of (cathodo-)luminescence hyperspectral maps.
Tappy, Nicolas ; Fontcuberta i Morral, Anna ; Monachon, Christian
Review of Scientific Instruments; May2022, Vol. 93 Issue 5, p1-10, 10p

SIGNAL-to-noise ratio CATHODOLUMINESCENCE LUMINESCENCE SPECTRAL imaging PRINCIPAL components ana... PYTHON programming langu...
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93

PYTHONIC DEEP LEARNING: CREATING NEURAL NETWORKS FROM SCRATCH
Dr. YASIR AHMAD ; DR. NADIM RANA ; DR. ALI AHMAD ; et al.

Buch
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94

scGAD: a new task and end-to-end framework for generalized cell type annotation and discovery.
Zhai, Yuyao ; Chen, Liang ; Deng, Minghua
Briefings in Bioinformatics. Mar2023, Vol. 24 Issue 2, p1-17. 17p.

DATA mining SUPERVISED learning RNA sequencing ANNOTATIONS MACHINE learning CELL anatomy
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95

Wearable sensor-based pattern mining for human activity recognition: deep learning approach
Bijalwan, Vishwanath ; Semwal, Vijay Bhaskar ; Gupta, Vishal
Industrial Robot: the international journal of robotics research and application, 2021, Vol. 49, Issue 1, pp. 21-33.

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96

Optimizing Touchless Fingerprint Identification: A Machine Learning Approach to Modelling and Performance Evaluation
J. Effiong, Otobong ; B. Obot, Akaninyene ; M. Udofia, Kingsley ; et al.
Journal of Engineering Research and Reports. 26(10):186-198

[SPI]Engineering Science...
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97

Python Data Science Cookbook
Subramanian, Gopi ; Subramanian, Gopi ; Subramanian, Gopi ; et al.

E-Ressource
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98

PlotToSat: A tool for generating time-series signatures from Sentinel-1 and Sentinel-2 at field-based plots for machine learning applications.
Miltiadou, Milto ; Grieve, Stuart ; Ruiz-Benito, Paloma ; et al.
Environmental Modelling & Software. Apr2025, Vol. 188, pN.PAG-N.PAG. 1p.

Forest ecology Ecological disturbances Forest surveys Ecosystem dynamics Machine learning Sentinel-1 (Artificial s...
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99

Automated annotation of rare-cell types from single-cell RNA-sequencing data through synthetic oversampling.
Bej, Saptarshi ; Galow, Anne-Marie ; David, Robert ; et al.
BMC Bioinformatics; 11/19/2021, Vol. 22 Issue 1, p1-17, 17p

RNA sequencing ALGORITHMS HEART cells NEUROGLIA MACHINE learning
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100

From black box to clear box: A hypothesis testing framework for scalar regression problems using deep artificial neural networks.
Messner, Wolfgang
Applied Soft Computing. Oct2023, Vol. 146, pN.PAG-N.PAG. 1p.

Artificial neural networ... Deep learning Inferential statistics Null hypothesis Statistical significance Regression analysis
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