Search Results - (automatic OR automatizace) programming general terms algorithms keywords algorithmic chemistries*

Total synthesis of algorithmic chemistries

Authors: Christian W. G. Lasarczyk Wolfgang Banzhaf The Pennsylvania State University CiteSeerX Archives

Contributors: Christian W. G. Lasarczyk Wolfgang Banzhaf The Pennsylvania State University CiteSeerX Archives

Source: http://www.cs.bham.ac.uk/~wbl/biblio/gecco2005/docs/p1635.pdf.

Subject Terms: I.2.2 [Artificial Intelligence, Automatic Programming General Terms Algorithms Keywords Algorithmic Chemistries, Genetic Programming, Total Synthesis

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.216.2608; http://www.cs.bham.ac.uk/~wbl/biblio/gecco2005/docs/p1635.pdf

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.216.2608
http://www.cs.bham.ac.uk/~wbl/biblio/gecco2005/docs/p1635.pdf

Battery Sizing and Composition in Energy Storage Systems for Domestic Renewable Energy Applications: A Systematic Review.

Authors: Apa, Ludovica D'Alvia, Livio Del Prete, Zaccaria et al.

Source: Energies (19961073); Oct2025, Vol. 18 Issue 20, p5536, 33p

Subject Terms: ENERGY storage, LITHIUM-ion batteries, RENEWABLE energy sources, RESIDENTIAL energy conservation, CHEMICAL structure, SIMULATION methods & models

An Intelligent Control Framework for High-Power EV Fast Charging via Contrastive Learning and Manifold-Constrained Optimization.

Authors: Tian, Hao Yan, Tao Dai, Guangwu et al.

Source: World Electric Vehicle Journal; Oct2025, Vol. 16 Issue 10, p562, 27p

Subject Terms: INTELLIGENT control systems, MULTI-objective optimization, MACHINE learning, ENERGY consumption, ELECTRIC vehicle charging stations, SAFETY standards

Challenges and Opportunities for Extending Battery Pack Life Using New Algorithms and Techniques for Battery Electric Vehicles.

Authors: Gonzalez-Rodriguez, Pedro S. Lozoya-Santos, Jorge de J. Gonzalez-Hernandez, Hugo G. et al.

Source: World Electric Vehicle Journal; Aug2025, Vol. 16 Issue 8, p442, 41p

Subject Terms: ELECTRIC vehicles, BATTERY management systems, CONDITION-based maintenance, PRODUCT life cycle assessment, CIRCULAR economy

Advances in Battery Modeling and Management Systems: A Comprehensive Review of Techniques, Challenges, and Future Perspectives.

Authors: Madani, Seyed Saeed Shabeer, Yasmin Nair, Ananthu Shibu et al.

Source: Batteries; Nov2025, Vol. 11 Issue 11, p426, 69p

Subject Terms: BATTERY management systems, MACHINE learning, DIGITAL twin, ENERGY storage, DEEP learning, ELECTRIC vehicles

Digital Twins for Space Battery Management Systems: A Comprehensive Review of Different Approaches for Predictive Maintenance and Monitoring.

Authors: Sbarra, Roberto Giovanni Pasquali, Michele Coppotelli, Giuliano et al.

Source: Energies (19961073); Nov2025, Vol. 18 Issue 21, p5858, 48p

Subject Terms: DIGITAL twin, BATTERY management systems, ELECTROCHEMICAL electrodes, SUPERVISION, LITHIUM-ion batteries, CONDITION-based maintenance, AEROSPACE technology

Reac-Discovery: an artificial intelligence–driven platform for continuous-flow catalytic reactor discovery and optimization.

Authors: Tinajero, Cristopher Zanatta, Marcileia Sánchez-Velandia, Julián E. et al.

Source: Nature Communications; 10/13/2025, Vol. 16 Issue 1, p1-13, 13p

Subject Terms: ARTIFICIAL intelligence, CHEMICAL engineering, DIGITAL technology, CHEMICAL reactors, MACHINE learning, MATHEMATICAL optimization, THREE-dimensional printing

A Review of Hybrid-Electric Propulsion in Aviation: Modeling Methods, Energy Management Strategies, and Future Prospects.

Authors: Yu, Feifan Chen, Jiajie Gao, Panao et al.

Source: Aerospace (MDPI Publishing); Oct2025, Vol. 12 Issue 10, p895, 45p

Subject Terms: HYBRID electric airplanes, ELECTRIC propulsion, CARBON emissions, SIMULATION methods & models, ENERGY consumption forecasting, POWER resources management, COMMERCIAL aeronautics, SUPERVISORY control systems

A Critical Review on the Battery System Reliability of Drone Systems.

Authors: Zhao, Tianren Zhang, Yanhui Wang, Minghao et al.

Source: Drones (2504-446X); Aug2025, Vol. 9 Issue 8, p539, 59p

Advances in Miniaturized Liquid Chromatography for the Detection of Organic Pollutants in Food, Environmental, and Biological Samples.

Authors: Temwani, Kaoma Pan, Daodong Wu, Zhen et al.

Source: Separations (2297-8739); Nov2025, Vol. 12 Issue 11, p312, 47p

Subject Terms: LIQUID chromatography, ENVIRONMENTAL sciences, ORGANIC water pollutants, FOOD chemistry, MASS spectrometry, BIOLOGICAL specimens

Smart Grid Systems: Addressing Privacy Threats, Security Vulnerabilities, and Demand–Supply Balance (A Review).

Authors: Nazir, Iqra Mushtaq, Nermish Amin, Waqas

Source: Energies (19961073); Oct2025, Vol. 18 Issue 19, p5076, 77p

Subject Terms: DATA privacy, COMPUTER security vulnerabilities, ENERGY storage, DATA protection, INTERNET security, SMART power grids, CRYPTOGRAPHY, SUPPLY & demand

Using Machine Learning Language Models to Generate Innovation Knowledge Graphs for Patent Mining.

Authors: Trappey, Amy J. C. Liang, Chih-Ping Lin, Hsin-Jung

Source: Applied Sciences (2076-3417); Oct2022, Vol. 12 Issue 19, p9818, 19p

Subject Terms: KNOWLEDGE graphs, PROGRAMMING languages, KNOWLEDGE representation (Information theory), TECHNOLOGICAL innovations, GRAPH algorithms, PATENTS, MACHINE learning

Research on mine water source classifications based on BO-CatBoost.

Authors: Li, Han Yang, Zhenwei Lv, Hang et al.

Source: Environmental Monitoring & Assessment; Oct2024, Vol. 196 Issue 10, p1-15, 15p

Subject Terms: MINE water, OPTIMIZATION algorithms, COAL mining safety, GAUSSIAN processes, COALFIELDS

Artificial Intelligence and Digital Twin Technologies for Intelligent Lithium-Ion Battery Management Systems: A Comprehensive Review of State Estimation, Lifecycle Optimization, and Cloud-Edge Integration.

Authors: Madani, Seyed Saeed Shabeer, Yasmin Fowler, Michael et al.

Source: Batteries; Aug2025, Vol. 11 Issue 8, p298, 51p

Subject Terms: ARTIFICIAL intelligence, DIGITAL twin, ELECTRIC vehicles, EDGE computing, BATTERY management systems, MATHEMATICAL optimization, LITHIUM-ion batteries, RESOURCE allocation

Novel Artificial Intelligence Applications in Energy: A Systematic Review.

Authors: Zhang, Tai Strbac, Goran

Source: Energies (19961073); Jul2025, Vol. 18 Issue 14, p3747, 51p

Subject Terms: ARTIFICIAL intelligence, REINFORCEMENT learning, ENERGY consumption, MULTIAGENT systems, ENERGY infrastructure

Principles of Machine Learning and Its Application to Thermal Barrier Coatings.

Authors: Liu, Yuan Chen, Kuiying Kumar, Amarnath et al.

Source: Coatings (2079-6412); Jul2023, Vol. 13 Issue 7, p1140, 59p

Subject Terms: THERMAL barrier coatings, MACHINE learning, CONVOLUTIONAL neural networks, KRIGING, THERMAL conductivity, PYTHON programming language

Reinvent 4: Modern AI–driven generative molecule design.

Authors: Loeffler, Hannes H. He, Jiazhen Tibo, Alessandro et al.

Source: Journal of Cheminformatics; 2/21/2024, Vol. 16, p1-16, 16p

Subject Terms: ARTIFICIAL intelligence, GENERATIVE artificial intelligence, MACHINE learning, REINFORCEMENT learning, OPTIMIZATION algorithms, RECURRENT neural networks

Bridging language models and computational materials science: A prompt‐driven framework for material property prediction.

Authors: Lv, Shuai Peng, Lei Wu, Wentiao et al.

Source: Materials Genome Engineering Advances (MGE Advances); Jun2025, Vol. 3 Issue 2, p1-11, 11p

Smart Manufacturing for High-Performance Materials: Advances, Challenges, and Future Directions.

Authors: Antony Jose, Subin Tonner, Alex Feliciano, Marc et al.

Source: Materials (1996-1944); May2025, Vol. 18 Issue 10, p2255, 28p

Subject Terms: INDUSTRIAL robots, MANUFACTURING processes, ARTIFICIAL intelligence, INTERNET of things, MATERIALS testing, MASS production

Transformative Impacts of AI and Wireless Communication in CSP Heliostat Control Systems.

Authors: Liu, Quanwu Dai, Zengli Wei, Yuan et al.

Source: Energies (19961073); Mar2025, Vol. 18 Issue 5, p1069, 35p

Subject Terms: RENEWABLE energy transition (Government policy), TELECOMMUNICATION, ARTIFICIAL intelligence, WIRELESS communications, HELIOSTATS, DEEP learning