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Neural Library Recommendation by Embedding Project-Library Knowledge Graph
Li, B. ; Quan, H. ; Wang, J. ; et al.
IEEE Transactions on Software Engineering IIEEE Trans. Software Eng. Software Engineering, IEEE Transactions on. 50(6):1620-1638 Jun, 2024

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An annotation-based approach for finding bugs in neural network programs
Rezaalipour, Mohammad ; Furia, Carlo A.
In The Journal of Systems & Software July 2023 201

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Climate Aware Deep Neural Networks (CADNN) for wind power simulation
Forootani, Ali ; Esmaeili Aliabadi, Danial ; Thrän, Daniela
In Array December 2025 28

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Intelligent Estimation of Construction Project Costs Based on Subtractive Clustering-based Self-Learning Convolutional Neural Network.
Feng, Ning
Journal of Combinatorial Mathematics & Combinatorial Computing; Dec2025, Vol. 127a, p7321-7336, 16p

COST accounting ALGORITHMS CONSTRUCTION projects ARTIFICIAL neural networ... ARTIFICIAL intelligence
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PyESPERv1.0.0: a Python implementation of empirical seawater property estimation routines (ESPERs).
Dias, Larissa M. ; Carter, Brendan R.
Geoscientific Model Development. 2025, Vol. 18 Issue 20, p7275-7295. 21p.

PYTHON programming langu... ARTIFICIAL neural networ... SALINE waters APPROXIMATION theory INTERPOLATION ALKALINITY
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A Comparative Hybrid Approach for Python Bug Detection Using Syntactic Features, Random Forest, and Neural Network.
Imran, Bahtiar ; Wahyudi, Erfan ; Riadi, Selamet ; et al.
Journal of Communication & Information Technology (CommIT Journal); Oct2025, Vol. 19 Issue 2, p141-150, 10p

MACHINE learning RANDOM forest algorithms DEFECT tracking (Compute... CLASSIFICATION algorithm... COMPUTER software develo... PYTHON programming langu...
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YOLO Object Detection with Opencv and Python.
Harshitha, Gopisetty ; Babu, Jampani satish
International Journal of Environmental Sciences (2229-7359); 2025 Special Issue, Vol. 11, p3074-3082, 9p

COMPUTER vision DEEP learning OBJECT recognition (Comp... ARTIFICIAL neural networ... IMAGE processing PYTHON programming langu...
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Empirical Comparison of Neural Network Architectures for Prediction of Software Development Effort and Duration.
Iordan, Anca-Elena
Fractal & Fractional. Nov2025, Vol. 9 Issue 11, p702. 27p.

ARTIFICIAL neural networ... COMPUTER software develo... QUANTITATIVE research NEURAL computers ARTIFICIAL intelligence MACHINE learning
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Neural Network Projects with Python
Loy, James ; Loy, James ; Loy, James ; et al.

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MACHINE LEARNING MODEL OF RISK ANALYSIS IN PROJECTS – CASE STUDY.
GUMIŃSKI, Adam ; MOHAMED, Mohamed
Scientific Papers of Silesian University of Technology. Organization & Management / Zeszyty Naukowe Politechniki Slaskiej. Seria Organizacji i Zarzadzanie; 2025, Issue 230, p137-147, 11p

ARTIFICIAL neural networ... RISK assessment MACHINE learning PREDICTIVE validity DIGITAL literacy DECISION support systems
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Bayesian-Optimized Fully Connected Neural Network For Enhanced Prediction Accuracy In Concrete Compressive Strength Estimation.
Xiong, Jiangyu ; Ma, Zhengfeng ; Yang, Haoyun ; et al.
Civil & Environmental Engineering; Dec2025, Vol. 21 Issue 2, p1292-1303, 12p

COMPRESSIVE strength ARTIFICIAL neural networ... MACHINE learning CONSTRUCTION projects PREDICTIVE validity SURROGATE-based optimiza...
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CANOD: A Competence Assessment Network for Open Source Software Developers
An, Xu ; Ma, Jianhui ; An, Yanqing ; et al.
In Expert Systems With Applications 25 March 2026 303

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Fortnet, a software package for training Behler-Parrinello neural networks
van der Heide, T. ; Kullgren, J. ; Broqvist, P. ; et al.
In Computer Physics Communications March 2023 284

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PREDICTION OF COST CONTINGENCY IN CONSTRUCTION PROJECTS BY INTRODUCING MACHINE LEARNING ALGORITHMS.
NINDARTIN, Acinia ; PARK, Sang-Jun ; LEE, Kyung-Tae ; et al.
Journal of Civil Engineering & Management; 2025, Vol. 31 Issue 8, p860-880, 21p

FLORIDA. Dept. of Transp... CONSTRUCTION projects MACHINE learning ARTIFICIAL neural networ... ENSEMBLE learning PREDICTION models
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A conceptual cost estimation model for building construction projects by hybrid Back-Propagation Neural Network and Dung Beetle Optimizer algorithm.
Wang, Rui ; Salleh, Hafez ; Li, Kaiyi ; et al.
Journal of Asian Architecture & Building Engineering; Nov2025, Vol. 24 Issue 6, p5520-5542, 23p

CONSTRUCTION projects MACHINE learning BACK propagation OPTIMIZATION algorithms PROJECT management STATISTICAL accuracy
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Validity of a Convolutional Neural Network-Based, Markerless Pose Estimation System Compared to a Marker-Based 3D Motion Analysis System for Gait Assessment—A Pilot Study.
Ksoll, Korbinian ; Krätschmer, Rafael ; Stöcker, Fabian
Sensors (14248220); Nov2025, Vol. 25 Issue 21, p6551, 18p

CONVOLUTIONAL neural net... POSE estimation (Compute... PILOT projects CLINICAL medicine MOTION analysis MOTION capture (Human me...
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Artificial Neural Network for Cost Prediction of Drainage Infrastructure in a Region with Limited Project Data.
Rahmat ; Patriadi, Andi ; Wulandari, Esti ; et al.
E3S Web of Conferences; 12/10/2025, Vol. 673, p1-6, 6p

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Prediction of electric power and load forcasting using LSTM technique for EMS.
Moustakim, Mohammed Amine ; Nasser, Tamou ; Elkamoun, Najib ; et al.
EPJ Web of Conferences; 6/30/2025, Vol. 330, p1-5, 5p

LONG short-term memory ARTIFICIAL neural networ... PYTHON programming langu... ENGINEERS ELECTRIC power consumpti... LOAD forecasting (Electr...
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MotorNet, a Python toolbox for controlling differentiable biomechanical effectors with artificial neural networks
Olivier Codol ; Jonathan A Michaels ; Mehrdad Kashefi ; et al.
eLife, Vol 12 (2024)

motor control motor learning computational model neural network muscle model biomechanical model
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