• Suche: Process Automation using Machine Learning

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221

Mining transition rules of cellular automata for simulating urban expansion by using the deep learning techniques.
He, Jialv ; Li, Xia ; Yao, Yao ; et al.
International Journal of Geographical Information Science. Oct2018, Vol. 32 Issue 10, p2076-2097. 22p.

Urbanization Urban planning Sustainable development Urban growth Urban land use
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222

Machine learning for compositional data analysis in Support of the Decision Making Process
Nguyen, Thi Thuy Van ; Heuchenne, Cédric ; Tran, Kim Phuc
Machine Learning and Probabilistic Graphical Models for Decision Support Systems (2021)

Compositional Data Machine learning Anomaly Detection Dirichlet density Support Vector Data Desc... Business & economic scie... …
Buch
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223

Toward Automated Support of Complaint Handling Processes: An Application in the Medical Technology Industry
Hake, Philip ; Rehse, Jana-Rebecca ; Fettke, Peter
Journal on Data Semantics: Concepts and Ideas for Building Knowledgeable Systems. 10(1-2):41-56

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224

Rapid deep-learning-based optical measurement of printed linear structures
Maxim Polomoshnov ; Nowab Reza MD Ashif ; Klaus-Martin Reichert ; et al.
International Journal of Optomechatronics, Vol 20, Iss 1 (2026)

Optical measurement process automation deep learning machine learning computer vision neural network …
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225

Fast Multi-Dimensional Imaging Using the Unsupervised 3D Noise2Void Denoising Network
Jiang, Ziling ; Yu, Yajun ; Fang, Jingde ; et al.
Analytical Chemistry. 97(32):17380-17388

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226

Leveraging AI to Optimize Maintenance of Health Evidence and Offer a One-Stop Shop for Quality-Appraised Evidence Syntheses on the Effectiveness of Public Health Interventions: Quality Improvement Project.
Rogers, Kristin ; Miller, Alanna ; Girgis, Ashley ; et al.
Journal of Medical Internet Research. 2025, Vol. 27, p1-11. 11p.

Artificial intelligence Public health research Health promotion Inspection & review Process optimization Evaluation methodology
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227

Automation of vehicular systems using deep reinforcement learning and mean-field models: Application to heavy duty trucks
Albeaik, Saleh Mahdi

Automotive engineering Artificial intelligence Applied mathematics automation deep reinforcement learn... Heavy duty truck …
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228

EXPERT SYSTEM FOR THE FREIGHT COORDINATION BASED ON ARTIFICIAL INTELLIGENCE.
Gružauskas, Valentas ; Pačėsaitė, Kotryna
Management / Vadyba (16487974). 2021, Vol. 37 Issue 2, p19-24. 6p.

Artificial intelligence Supply chain management Machine learning Industry 4.0 Supply chains
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230

Reverse Engineering the Image Library: a case study on the feasibility of using deep learning to identify significance in a 35mm slide collection.
Van Liefferinge, Stefaan ; Rodriguez, Gabriel ; Peck, Lisa ; et al.
Visual Resources Association Bulletin. Fall/Winter2019, Vol. 46 Issue 2, preceding p1-15. 17p.

Photographs Deep learning Reverse engineering Optical character recogn... Feasibility studies Art history …
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231

Optimizing coagulant dosage using deep learning models with large-scale data.
Kim, Jiwoong ; Hua, Chuanbo ; Kim, Kyoungpil ; et al.
Chemosphere. Feb2024, Vol. 350, pN.PAG-N.PAG. 1p.

DEEP learning COAGULANTS CONVOLUTIONAL neural net... WATER treatment plants SETTLING basins WATER purification
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232

THE IMPACT OF THE AUDIT ACTIVITY, USING AI, RPA AND ML IN THE ACTIVITY OF CREATING THE DELIVERY LIST AND THE PRODUCTION PLAN IN CASE OF A PRODUCTION RANGE. A CASE STUDY.
Viorel - Costin Banta ; Cristian Dragos Turcan ; Sabin – Alexandru Babeanu
Annals of the University of Craiova: Economic Sciences Series, Vol 1, Iss 50, Pp 98-104 (2022)

erp sap rpa ai ml – machine learning project implementation …
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233

CAPTIVE: Constrained Adversarial Perturbations to Thwart IC Reverse Engineering.
Zargari, Amir Hosein Afandizadeh ; AshrafiAmiri, Marzieh ; Seo, Minjun ; et al.
Information. Dec2023, Vol. 14 Issue 12, p656. 15p.

Integrated circuits Machine learning Intellectual property Reverse engineering Logic circuits Electronic design automa... …
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234

Machine Learning Facilitates the Application of Electrochemically Induced Precipitation for the Removal of Phosphorous
Hao, Jingwei ; Zhang, Junke ; Li, Xuewei ; et al.
ACS ES&T Water. 3(2):616-625

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235

Machine Learning Guided Batched Design of a Bacterial Ribosome Binding Site
Zhang, Mengyan ; Holowko, Maciej Bartosz ; Hayman Zumpe, Huw ; et al.
ACS Synthetic Biology. 11(7):2314-2326

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236

srBERT: automatic article classification model for systematic review using BERT.
Aum S ; Choe S
Publisher: BioMed Central Country of Publication: England NLM ID: 101580575 Publication Model: Electronic Cited Medium: Internet ISSN: 2046-4053 (Electronic) Linking ISSN: 20464053 NLM ISO Abbreviation: Syst Rev Subsets: MEDLINE

Algorithms Humans Systematic Reviews as To... Machine Learning Natural Language Process...
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237

The Development of a Living Knowledge System and Implications for Future Systematic Searching.
Grbin, Lisa ; Nichols, Peter ; Russell, Fiona ; et al.
Journal of the Australian Library & Information Association. Sep2022, Vol. 71 Issue 3, p275-292. 18p.

Automation Artificial intelligence Academic libraries Machine learning Meta-analysis
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238

Handwritten Data Extraction Using OpenAI ChatGPT4o and Robotic Process Automation.
Gal-Nadasan N ; Stoicu-Tivadar V ; Gal-Nadasan E ; et al.
Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform Subsets: MEDLINE

Electronic Health Record... Machine Learning Humans Information Storage and... Robotics Handwriting
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239

Using the Activity Theory to Identify the Challenges of Designing Elearning Tools based on Machine Learning for Security Operations Centers.
CAZACU, Mihail ; BODEA, Constanţa ; DASCĂLU, Maria-Iuliana ; et al.
eLearning & Software for Education. 2019, Vol. 1, p452-461. 10p.

Machine learning Theory Machine tools Right of privacy Data security failures Open source software
Konferenz
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240

Algorithms for Load Balancing in Next-Generation Mobile Networks: A Systematic Literature Review.
Ochoa-Aldeán, Juan ; Silva-Cárdenas, Carlos ; Torres, Renato ; et al.
Future Internet. Jul2025, Vol. 17 Issue 7, p290. 24p.

Algorithms Machine learning Load balancing (Computer... 5G networks Resource allocation Cell phone systems …
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