Suchergebnisse - automation programming general terms algorithms keywords evolution~

On the automation of fixing software bugs

Autoren: Andrea Arcuri The Pennsylvania State University CiteSeerX Archives

Weitere Verfasser: Andrea Arcuri The Pennsylvania State University CiteSeerX Archives

Quelle: http://www.cs.bham.ac.uk/~wbl/biblio/cache/http___delivery.acm.org_10.1145_1380000_1370223_p1003-arcuri.pdf.

Schlagwörter: Categories and Subject Descriptors D.2.5 [Software Engineering, Testing and Debugging, I.2.8 [Artificial Intelligence, Problem Solving, Control Methods, and Search General Terms Algorithms, Experimentation, Reliability Keywords Automatic Bug Fixing, Automated Debugging, Repair, Co-evolution, Genetic Programming

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.571.2579

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.571.2579
http://www.cs.bham.ac.uk/~wbl/biblio/cache/http___delivery.acm.org_10.1145_1380000_1370223_p1003-arcuri.pdf

Historical Evolution and Future Trends of Riverbed Dynamics Under Anthropogenic Impact and Climatic Change: A Case Study of the Ialomița River (Romania).

Autoren: Radu, Andrei Comănescu, Laura

Quelle: Water (20734441); Jul2025, Vol. 17 Issue 14, p2151, 34p

Schlagwörter: CLIMATE change, ANTHROPOGENIC effects on nature, RAPIDS, GEODIVERSITY, RIVER conservation, SEDIMENT transport

Geografische Kategorien: EUROPE, ROMANIA

Exploring the Landscape of Operating Room Scheduling: A Bibliometric Analysis of Recent Advancements and Future Prospects.

Autoren: Amin, Md Al Hadid, Majed Elomri, Adel et al.

Quelle: Biomedical Engineering & Computational Biology; 8/16/2025, p1-16, 16p

Schlagwörter: OPERATING rooms, VALUE-based healthcare, HEURISTIC algorithms, SCHOLARLY method, SURGERY practice, HOSPITAL administration, BIBLIOMETRICS

Hybrid Optimization Approaches for Impeller Design in Turbomachinery: Methods, Metrics, and Design Strategies.

Autoren: Remache, Abel Pérez-Sánchez, Modesto Hidalgo, Víctor Hugo et al.

Quelle: Water (20734441); Jul2025, Vol. 17 Issue 13, p1976, 35p

Schlagwörter: COMPUTATIONAL fluid dynamics, FINITE element method, RESPONSE surfaces (Statistics), MATHEMATICAL programming, CENTRIFUGAL pumps, MACHINE learning, TURBOMACHINES, EVOLUTIONARY algorithms

From Integer Programming to Machine Learning: A Technical Review on Solving University Timetabling Problems.

Autoren: Gu, Xin Krish, Muralee Sohail, Shaleeza et al.

Quelle: Computation; Jan2025, Vol. 13 Issue 1, p10, 27p

Schlagwörter: CONSTRAINT programming, UNIVERSITIES & colleges, BLENDED learning, HIGHER education, DEEP diving

3DDA: A Novel Python Toolkit to Analyze 3D‐Dynamic Contact Angles from Molecular Dynamics Simulations.

Autoren: Maslov, Andrea Tiwari, Manish K. Seveno, David

Quelle: Advanced Engineering Materials; Jul2025, Vol. 27 Issue 13, p1-9, 9p

Schlagwörter: CONTACT angle, MOLECULAR dynamics, WETTING, SOFTWARE development tools, PROBABILITY density function, PYTHON programming language, LIQUID-vapor interfaces, NANOSCIENCE

Organization of the Optimal Shift Start in an Automotive Environment.

Autoren: Lakatos, Gábor Vámos, Bence Zoltán Aupek, István et al.

Quelle: Computation; Aug2025, Vol. 13 Issue 8, p181, 17p

Schlagwörter: SHIFT systems, ASSIGNMENT problems (Programming), WORKFLOW, AUTOMOBILE industry, RESOURCE allocation, LABOR productivity

Reviews & Products: MOODLE (Computer software)

PainSeeker: a head pose-invariant deep learning method for assessing rat's pain by facial expressions.

Autoren: Liu, Liu Li, Guang Deng, Dingfan et al.

Quelle: Frontiers in Veterinary Science. 2025, p1-13. 13p.

Method and practice of improving fitness training effect based on transfer learning from a biomechanics perspective.

Autoren: Qian, Huawei

Quelle: Molecular & Cellular Biomechanics; 2025, Vol. 22 Issue 3, p1-17, 17p

Schlagwörter: BIOMECHANICS, MOLECULAR biology, ARTIFICIAL intelligence, AEROBIC exercises, CYTOLOGY, PHYSICAL training & conditioning, TRANSFER of training

Automated Calibration of SWMM for Improved Stormwater Model Development and Application.

Autoren: Ahmadi, Hossein Scott, Durelle Sample, David J. et al.

Quelle: Hydrology (2306-5338); Jun2025, Vol. 12 Issue 6, p129-N.PAG, 26p

Schlagwörter: MULTI-objective optimization, STANDARD deviations, URBAN watersheds, OPTIMIZATION algorithms, URBAN runoff

A Bibliometric-Systematic Literature Review (B-SLR) of Machine Learning-Based Water Quality Prediction: Trends, Gaps, and Future Directions.

Autoren: Muñoz-Alegría, Jeimmy Adriana Núñez, Jorge Oyarzún, Ricardo et al.

Quelle: Water (20734441); Oct2025, Vol. 17 Issue 20, p2994, 36p

Schlagwörter: MACHINE learning, GROUNDWATER quality, BIBLIOMETRICS, ENSEMBLE learning, CONTENT analysis, DEEP learning, TREND analysis

Improvement in Sizing Constrained Analog IC via Ts-CPD Algorithm.

Autoren: Lagos-Eulogio, Pedro Miranda-Romagnoli, Pedro Seck-Tuoh-Mora, Juan Carlos et al.

Quelle: Computation; Nov2023, Vol. 11 Issue 11, p230, 26p

Schlagwörter: PARTICLE swarm optimization, OPERATIONAL amplifiers, ELECTRONIC design automation, CIRCUIT complexity, ALGORITHMS, DIFFERENTIAL amplifiers

Optimization of Maize Irrigation Strategies in the Middle Reaches Irrigation Area of the Heihe River Using a Differential Evolution Algorithm.

Autoren: Jia, Lige Zhang, Bo Cui, Yanqiang

Quelle: Water (20734441); Dec2024, Vol. 16 Issue 24, p3561, 20p

Schlagwörter: WATER efficiency, WATER management, DIFFERENTIAL evolution, ARID regions, WATER use

Improving Estimates Accuracy of Voter Transitions. Two New Algorithms for Ecological Inference Based on Linear Programming.

Autoren: Pavía, Jose M. Romero, Rafael

Quelle: Sociological Methods & Research; Aug2024, Vol. 53 Issue 3, p1491-1533, 43p

Schlagwörter: MATHEMATICAL programming, CONTINGENCY tables, TRANSFER matrix, ALGORITHMS, PROBABILITY theory

An Interactive Platform for Design Hydrograph Estimation in Small and Ungauged Basins: Pilot Implementation in the Lazio Region, Italy.

Autoren: Grimaldi, Salvatore Petroselli, Andrea Cappelli, Francesco et al.

Quelle: Water (20734441); Nov2025, Vol. 17 Issue 21, p3122, 15p

Schlagwörter: DIGITAL twin, HYDROLOGIC models, PYTHON programming language, PROGRAMMING languages, WATERSHEDS, RUNOFF

Geografische Kategorien: LAZIO (Italy), ITALY

Improving cervical maturation degree classification accuracy using a multi-stage deep learning approach.

Autoren: Motie, Parisa Ashkan, Ali Mohammad-Rahimi, Hossein et al.

Quelle: Imaging Science in Dentistry; Sep2025, Vol. 55 Issue 3, p290-301, 12p

Schlagwörter: DEEP learning, CLASSIFICATION, CERVICAL vertebrae, MACHINE learning, AUTOMATION software, ORTHOPEDICS, COMPUTER-assisted image analysis (Medicine), OBJECT recognition (Computer vision)

Artificial Intelligence in Biotechnology and Pharmaceuticals: Evolution, Applications, and Regulatory Frontiers.

Autoren: Somara, Sita Joshi, Amol M. Mitra, Kunal et al.

Quelle: Current Stem Cell Reports; 11/1/2025, Vol. 11 Issue 1, p1-10, 10p

Recent advancement of metaheuristic optimization algorithms-based learning for breast cancer diagnosis: a review.

Autoren: Awotwe, Samuel Dufera, Amanuel Tafese Yi, Wenhui

Quelle: Memetic Computing; Sep2025, Vol. 17 Issue 3, p1-22, 22p

Performance Evaluation Methodology for Federated XR Network Digital Twins in AI-Aware 6G Networks.

Autoren: Calle-Heredia, Xavier Hesselbach, Xavier

Quelle: Future Internet; Nov2025, Vol. 17 Issue 11, p523, 22p

Schlagwörter: 6G networks, ARTIFICIAL intelligence, KEY performance indicators (Management), INDUSTRY 4.0, DIGITAL twin, RESEARCH evaluation, TELEMEDICINE

RESEARCH ON AI AND IOT ENVIRONMENT FOR FINANCIAL STABILITY AND HUMAN RESOURCE MANAGEMENT IN INDUSTRY.

Autoren: kumar Raju, C. Udaya Biradar (Hallale), Deepmala Mehra, Anu et al.

Quelle: Cuestiones de Fisioterapia; 2025, Vol. 54 Issue 4, p1296-1303, 8p

Schlagwörter: ARTIFICIAL intelligence, PERSONNEL management, SUPPORT vector machines, K-nearest neighbor classification, DECISION trees