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41

Prediction of natural frequencies in cracked circular hingeless arches using machine learning approaches
Pasupuleti, Laxmi Narayana ; Uppara, Raghu Babu ; Chintapalli, Shekhar ; et al.
Journal of Building Pathology and Rehabilitation. 11(1)

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42

Diabetes Control in China: Building a Supervised Machine Learning Diabetes Predictor based on living circumstances of Chinese citizen aged 45 and above.
Kabiraj, Sajal ; Kling, Nico ; Siddik, Md Nur Alam
International Journal of Business Insights & Transformation. Apr-Sep2020, Vol. 13 Issue 2, p68-73. 6p.

SUPERVISED learning HYPERGLYCEMIA SUPPORT vector machines DIABETES SIMPLE machines CHINA
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43

Semi‐blind‐trace algorithm for self‐supervised attenuation of trace‐wise coherent noise.
Abedi, Mohammad Mahdi ; Pardo, David ; Alkhalifah, Tariq
Geophysical Prospecting. Mar2024, Vol. 72 Issue 3, p965-977. 13p.

DEEP learning SUPERVISED learning NOISE ALGORITHMS
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44

Supervised Learning of Natural-Terrain Traversability with Synthetic 3D Laser Scans
Jorge L. Martínez ; Mariano Morán ; Jesús Morales ; et al.
Applied Sciences, Vol 10, Iss 3, p 1140 (2020)

traversability supervised machine learn... 3d laser scanner field robotics sensor simulation Technology …
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45

Prediction of Bubble Sizes in Bubble Columns with Machine Learning Methods.
Biessey, Philip ; Bayer, Hakan ; Theßeling, Christin ; et al.
Chemie Ingenieur Technik (CIT). Dec2021, Vol. 93 Issue 12, p1968-1975. 8p.

MACHINE learning FEATURE extraction DATABASES RANDOM forest algorithms DEIONIZATION of water PYTHON programming langu... …
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46

PassSum: Leveraging paths of abstract syntax trees and self‐supervision for code summarization.
Niu, Changan ; Li, Chuanyi ; Ng, Vincent ; et al.
Journal of Software: Evolution & Process. Jun2024, Vol. 36 Issue 6, p1-27. 27p.

SYNTAX (Grammar) PROGRAMMING languages NATURAL languages RESEARCH personnel SUPERVISED learning DEEP learning
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47

New Spam Filtering Method with Hadoop Tuning-Based MapReduce Naïve Bayes.
Keungyeup Ji ; Youngmi Kwon
Computer Systems Science & Engineering. 2023, Vol. 45 Issue 1, p201-214. 14p.

Electronic file manageme... Email Machine learning Computer programming Accuracy
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48

Artificial Intelligence in CNS Radiation Oncology (AI-RAD)
Bhabha Atomic Research Centre (BARC) ; Dr Archya Dasgupta, Assistant Professor, Radiation Oncology
Artificial Intelligence in Radiation Oncology for CNS Tumors

Report
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49

Variational infinite heterogeneous mixture model for semi-supervised clustering of heart enhancers.
Mehdi TF ; Singh G ; Mitchell JA ; et al.
Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print Cited Medium: Internet ISSN: 1367-4811 (Electronic) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE

Animals Cluster Analysis Humans Mice Software Supervised Machine Learn... …
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50

A Neural Network‐Based Scheme for Nonlinear Fractional Malaria Disease Model Using Spectral Method.
Kumar, Sumit ; Kumar, Sunil
Mathematical Methods in the Applied Sciences. Oct2025, p1. 31p. 55 Illustrations.

MATLAB (Computer softwar... VACCINATION MALARIA SPECTRAL theory FRACTIONAL differential... PARTICLE swarm optimizat... …
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51

UVBoost: An erythemal weighted ultraviolet radiation estimator based on a machine learning gradient boosting algorithm.
Corrêa, Marcelo de Paula
Journal of Quantitative Spectroscopy & Radiative Transfer. Apr2023, Vol. 298, pN.PAG-N.PAG. 1p.

ULTRAVIOLET radiation SUPERVISED learning MACHINE learning BOOSTING algorithms RADIATIVE transfer ELECTROMAGNETIC spectrum …
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52

Deep learning in public health, and contributions to statistical learning
Apprentissage profond en santé publique, et contributions en apprentissage statistique
Yu, Yiyang ; Laboratoire de Probabilités, Statistique et Modélisation (LPSM (UMR_8001)) ; Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité) ; et al.
Statistics [math.ST]. Université Paris Cité, 2022. English. ⟨NNT : 2022UNIP7209⟩

Online logistic regressi... Random forests Contrastive learning Medical claims data Deep learning Machine learning …
Dissertation
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53

Supervised classification methods with R and Python
Rey-Dorène, Maxime ; Fatih, Aimane ; Chesneau, Christophe ; et al.
Master. France. 2025. :213-213

Machine learning R Python Supervised classificatio... [MATH]Mathematics [math]
Buch
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54

AssesSeg--A Command Line Tool to Quantify Image Segmentation Quality: A Test Carried Out in Southern Spain from Satellite Imagery.
Novelli, Antonio ; Aguilar, Manuel A. ; Aguilar, Fernando J. ; et al.
Remote Sensing. Jan2017, Vol. 9 Issue 1, p40. 11p.

REMOTE-sensing images SUPERVISED learning IMAGE segmentation
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55

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56

Fast Semi-supervised Unmixing using Non-convex Optimization
Rasti, Behnood ; Zouaoui, Alexandre ; Mairal, Julien ; et al.

sparse unmixing hyperspectral sparsity semi-supervised blind unmixing …
E-Ressource
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57

Contextualizing the current state of research on the use of machine learning for student performance prediction: A systematic literature review
Khalid Alalawi ; Rukshan Athauda ; Raymond Chiong
Engineering Reports, Vol 5, Iss 12, Pp n/a-n/a (2023)

classification clustering educational data mining machine learning prediction regression …
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58

Fast Semisupervised Unmixing Using Nonconvex Optimization
Rasti, Behnood ; Zouaoui, Alexandre ; Mairal, Julien ; et al.
IEEE Transactions on Geoscience and Remote Sensing. 62:5526713-5526713

sparse unmixing hyperspectral sparsity semi-supervised blind unmixing …
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59

Prediction of concrete compressive strength with GGBFS and fly ash using multilayer perceptron algorithm, random forest regression and k-nearest neighbor regression
Ghunimat, Dalin ; Alzoubi, Ahmed Essa ; Alzboon, Abdelrahman ; et al.
Asian Journal of Civil Engineering: Building and Housing. :1-9

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60

Improved Supervised Learning-Based Approach for Leaf and Wood Classification From LiDAR Point Clouds of Forests.
Krishna Moorthy, Sruthi M. ; Calders, Kim ; Vicari, Matheus B. ; et al.
IEEE Transactions on Geoscience & Remote Sensing. May2020, Vol. 58 Issue 5, p3057-3070. 14p.

CLOUD forests POINT cloud TROPICAL dry forests PYTHON programming langu... TROPICAL forests LIDAR …
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