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141

AutoVideo: An Automated Video Action Recognition System
Zha, Daochen ; Bhat, Zaid Pervaiz ; Chen, Yi-Wei ; et al.

Computer Science - Compu... Computer Science - Machi... Electrical Engineering a...
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142

BindsNET: A machine learning-oriented spiking neural networks library in Python
Hazan, Hananel ; Saunders, Daniel J. ; Khan, Hassaan ; et al.
Frontiers in Neuroinformatics. 12 December 2018

Computer Science - Neura... Quantitative Biology - N...
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143

Building a scalable digital infrastructure for a (bio)chemical engineering pilot plant: A case study from DTU
Jakob Kjøbsted Huusom ; Mark N. Jones ; Julian Kager ; et al.
Digital Chemical Engineering, Vol 17, Iss , Pp 100269- (2025)

Pilot plant Unit operation Digitalization Digital infrastructure SCADA Real-time data …
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144

SINDybrid: automatic generation of hybrid models for dynamic systems
Di Caprio, Ulderico ; Leblebici, M. Enis
In Chemical Engineering Science 1 February 2026 321 Part C

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145

Large Language Models are Edge-Case Generators: Crafting Unusual Programs for Fuzzing Deep Learning Libraries.
Deng, Yinlin ; Xia, Chunqiu Steven ; Yang, Chenyuan ; et al.
ICSE: International Conference on Software Engineering; 2024, p1-13, 13p

LANGUAGE models DEEP learning LIBRARIES PYTHON programming langu... GRAPHICAL user interface...
Konferenz
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146

Analysis and performance prediction of a building integrated photovoltaic thermal system with and without phase change material.
Alsagri, Ali Sulaiman ; Alrobaian, Abdulrahman A.
Energy. Nov2024, Vol. 310, pN.PAG-N.PAG. 1p.

PHASE change materials STANDARD deviations ENERGY consumption PHOTOVOLTAIC power syste... HEATING BUILDING-integrated phot... …
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147

양식장 펌프 모터 전류 데이터를 이용한 머신러닝 기반 이상 감지 알고리즘에 관한 연구.
박 세 용 ; 장 태 욱 ; 임 태 호
Journal of Internet Computing & Services. Apr2023, Vol. 24 Issue 2, p37-45. 9p.

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148

A Semi-Automated Workflow for LULC Mapping via Sentinel-2 Data Cubes and Spectral Indices.
Chaves, Michel E. D. ; Soares, Anderson R. ; Mataveli, Guilherme A. V. ; et al.
Automation (2673-4052); Mar2023, Vol. 4 Issue 1, p94-109, 16p

WORKFLOW management syst... PYTHON programming langu... DECISION making MACHINE learning TIME series analysis AUTOMATION
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149

Box-Jenkin’s Methodology in Python for Stock Managing
Gomes, Manuel Romão dos Santos ; Matos, Ana ; RUN

Time Series Machine Learning Predictive Models Box-Jenkin’s Methodology... Stock Managing Domínio/Área Científica:...
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150

Simulation? Machine Learning? Simulation X Machine Learning?: A decision system for research integrating building physic simulation and machine learning methods in the early design stage
Xu, Mirah ; García del Castillo y López, Jose Luis ; Samuelson, Holly
Xu, Mirah. 2022. Simulation? Machine Learning? Simulation X Machine Learning?: A decision system for research integrating building physic simulation and machine learning methods in the early design stage. Master's thesis, Harvard Graduate School of Design.

Early Design Machine Learning Multidisciplinary Resear... Parametric Simulation Research Development Research Framework …
Dissertation
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151

Graph neural network modelling as a potentially effective method for predicting and analyzing procedures based on patients' diagnoses
Diaz Ochoa, Juan G. ; Mustafa, Faizan E
In Artificial Intelligence In Medicine September 2022 131

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152

Time-Series Forecasting of Seasonal Data Using Machine Learning Methods.
Kramar, Vadim ; Alchakov, Vasiliy
Algorithms. May2023, Vol. 16 Issue 5, p248. 16p.

REAL-time control AUTOMATIC control system... SEWAGE disposal plants STATISTICAL smoothing SEASONS ELECTRIC power consumpti... …
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153

Bitcoin Price Forecasting Using Random Forest and On-Chain Data.
Samsudin ; Irawan, Muhammad Dedi ; Padli Nasution, Muhammad Irwan ; et al.
Applied Information System & Management (AISM); 2025, Vol. 8 Issue 2, p355-364, 10p

BITCOIN RANDOM forest algorithms MARKET volatility DATA science BLOCKCHAINS STOCK price forecasting …
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154

Building Surface Defect Detection Using Machine Learning and 3D Scanning Techniques in the Construction Domain
Alexandru Marin Mariniuc ; Dorian Cojocaru ; Marian Marcel Abagiu
Buildings, Vol 14, Iss 3, p 669 (2024)

3D scanning machine learning artificial intelligence Building construction TH1-9745
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155

Integration and Evaluation of Deep Reinforcement Learning Controller in a Building Co-Simulation Environment
Amrani, Ahmed ; Kaddah, Rim ; Tavella, Jean-Philippe ; et al.
Building Simulation and Optimization (BSO-V 2020), Sep 2020, Loughborough (virtual conference), United Kingdom

Loughborough (virtual co... Deep Reinforcement Learn... Co-Simulation Building Heating control [INFO.INFO-AI]Computer S... …
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156

A modular Python framework for rapid development of advanced control algorithms for energy systems
Eser, Steffen ; Storek, Thomas ; Wüllhorst, Fabian ; et al.
Elsevier, Applied Energy. 385(C)

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157

FCMpy: A Python Module for Constructing and Analyzing Fuzzy Cognitive Maps
Mkhitaryan, Samvel ; Giabbanelli, Philippe J. ; Wozniak, Maciej K. ; et al.
PeerJ Computer Science 8:e1078, 2022

Computer Science - Mathe... Computer Science - Machi...
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158

The Basics of Python.
Rohith, S. V.
Open Source For You; May2024, Vol. 12 Issue 7, p83-86, 4p

PYTHON programming langu... PYTHONS MACHINE learning ENTERPRISE resource plan...
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159

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

Video
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160

AI-Based Enhanced Production of Vanadium Dioxide Thermochromic Films.
Dawange, G. P. ; Diwan, T. D. ; William, P. ; et al.
Journal of Nano- & Electronic Physics; 2025, Vol. 17 Issue 5, p05015-1-05015-6, 6p

VANADIUM dioxide ARTIFICIAL intelligence SMART materials PROCESS optimization MACHINE learning PREDICTION models
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