Suchergebnisse - programming: internet algorithm branch and sound~

AUV Trajectory Planning for Optimized Sensor Data Collection in Internet of Underwater Things.

Autoren: Almuzaini, Talal S. Savkin, Andrey V.

Quelle: Future Internet; Jul2025, Vol. 17 Issue 7, p293, 22p

Schlagwörter: AUTONOMOUS underwater vehicles, ACQUISITION of data, DYNAMIC programming, DEEP-sea exploration, UNDERWATER acoustic communication, AUTONOMOUS vehicles, TRAJECTORY optimization, INFORMATION theory

A Multistage Algorithm for Phase Load Balancing in Low-Voltage Electricity Distribution Networks Operated in Asymmetrical Conditions.

Autoren: Ivanov, Ovidiu Băiceanu, Florin-Constantin Nemeș, Ciprian-Mircea et al.

Quelle: Symmetry (20738994); Oct2025, Vol. 17 Issue 10, p1589, 21p

Schlagwörter: LOW voltage systems, ELECTRIC power distribution grids, METAHEURISTIC algorithms, RESEARCH methodology, ALGORITHMS, ENERGY dissipation

Multi-AUV trajectory optimization for data collection in the internet of underwater things (IoUT).

Autoren: Aloqoul, Doaa Al-Bzoor, Manal Almasaeid, Hisham et al.

Quelle: Cluster Computing; Oct2025, Vol. 28 Issue 9, p1-17, 17p

Schlagwörter: TRAJECTORY optimization, AUTONOMOUS underwater vehicles, DIGITAL communications, INTERNET of things, ENERGY consumption, ACQUISITION of data

FICAD: federated learning-based clustering for IoT data aggregation.

Autoren: AzharShokoufeh, Darya DerakhshanFard, Nahideh Ghaffari, Ali

Quelle: Cluster Computing; Nov2025, Vol. 28 Issue 13, p1-34, 34p

Schlagwörter: FEDERATED learning, INTERNET of things, AGGREGATION (Statistics), CLUSTERING algorithms, DISTRIBUTED databases, DATA security, MACHINE learning

The Branch-and-Bound Algorithm in Optimizing Mathematical Programming Models to Achieve Power Grid Observability.

Autoren: Theodorakatos, Nikolaos P. Babu, Rohit Moschoudis, Angelos P.

Quelle: Axioms (2075-1680); Nov2023, Vol. 12 Issue 11, p1040, 46p

Schlagwörter: PHASOR measurement, SMART power grids, MATHEMATICAL models, ALGORITHMS, ELECTRIC power distribution grids, MATHEMATICAL programming, SENSOR networks, SENSOR placement

Improving the Classification Performance of SVM, KNN, and Random Forest for Detecting Stress Conditions in Autistic Children.

Autoren: Melinda, Melinda Yunidar, Yunidar Miftahujjannah, Rizka et al.

Quelle: International Journal of Engineering Science & Information Technology; 2025, Vol. 5 Issue 4, p152-161, 10p

Schlagwörter: AUTISTIC children, RANDOM forest algorithms, INTERNET of things, PHYSIOLOGICAL stress, SUPPORT vector machines, SERVICES for caregivers, REAL-time computing, K-nearest neighbor classification

The Impact of Visual and Physical Programming-Based Science Activities on Middle School Students’ 21st Century and Computational Thinking Skills.

Alternate Title: Görsel ve Fiziksel Programlamaya Dayalı Fen Etkinliklerinin Ortaokul Öğrencilerinin 21. Yüzyıl ve Bilgi İşlemsel Düşünme Becerileri Üzerindeki Etkisi. (Turkish)

Autoren: Güneş, Habibe Küçük, Sevda

Quelle: Bartin University Journal of Faculty of Education; Jul2025, Vol. 14 Issue 3, p858-882, 25p

Schlagwörter: MIDDLE school students, SECONDARY school students, SELF-efficacy in students, TWENTY-first century, ARTIFICIAL intelligence

FCMI-YOLO: An efficient deep learning-based algorithm for real-time fire detection on edge devices.

Autoren: Lu, Junjie Zheng, Yuchen Guan, Liwei et al.

Quelle: PLoS ONE; 8/7/2025, Vol. 20 Issue 8, p1-27, 27p

Schlagwörter: FIRE detectors, DEEP learning, RESOURCE allocation, REAL-time computing, SMART devices, INTERNET of things, COMPUTER vision, ARTIFICIAL neural networks

An Intelligent Method for C++ Test Case Synthesis Based on a Q-Learning Agent.

Autoren: Semenov, Serhii Kolomiitsev, Oleksii Hulevych, Mykhailo et al.

Quelle: Applied Sciences (2076-3417); Aug2025, Vol. 15 Issue 15, p8596, 31p

Schlagwörter: REGRESSION testing (Computer science), COMPUTER software quality control, C++, SOFTWARE libraries (Computer programming), REINFORCEMENT learning

Energy-efficient job shop scheduling problem with transport resources considering speed adjustable resources.

Autoren: Fontes, Dalila B.M.M. Homayouni, Seyed Mahdi Fernandes, João Chaves

Quelle: International Journal of Production Research; Feb2024, Vol. 62 Issue 3, p867-890, 24p

Schlagwörter: JOB shops, PRODUCTION scheduling, LINEAR programming, SPEED, GENETIC algorithms, ENERGY consumption

A Real-Time Intelligent Acoustic IoT-Enabled Embedded Construction Site Monitoring and Alert System: Integrating Deep Learning–Based Machine-Listening Algorithms, Edge Computing, and Cloud Computing.

Autoren: Poudel, Oscar Assaad, Rayan H.

Quelle: Journal of Construction Engineering & Management; Jul2025, Vol. 151 Issue 7, p1-18, 18p

Schlagwörter: BUILDING sites, MACHINE learning, RECURRENT neural networks, CONSTRUCTION industry safety, EVIDENCE gaps, DEEP learning, EDGE computing

Sentiment Analysis to Detect Cyberbullying on Twitter.

Autoren: Lerotholi, Avuzwa Obagbuwa, Ibidun Christiana Fashoto, Stephen Gbenga

Quelle: Human Behavior & Emerging Technologies; 10/7/2025, Vol. 2025, p1-18, 18p

Schlagwörter: CYBERBULLYING, SENTIMENT analysis, INTERNET safety, RECURRENT neural networks, SUPPORT vector machines, MACHINE learning, NAIVE Bayes classification

Reviews & Products: TWITTER (Web resource)

Research Status and Development Trends of Artificial Intelligence in Smart Agriculture.

Autoren: Ge, Chuang Zhang, Guangjian Wang, Yijie et al.

Quelle: Agriculture; Basel; Nov2025, Vol. 15 Issue 21, p2247, 41p

Schlagwörter: ARTIFICIAL intelligence, SUSTAINABLE development, DEEP learning, PRECISION farming, AGRICULTURAL robots, MACHINE learning, INTERNET of things

An illustration of multi-class roc analysis for predicting internet addiction among university students.

Autoren: Thity, Nishat Tasnim Rahman, Atikur Dulmini, Adisha et al.

Quelle: PLoS ONE; 7/21/2025, Vol. 20 Issue 7, p1-17, 17p

Schlagwörter: COMPULSIVE behavior, RECEIVER operating characteristic curves, CONSCIOUSNESS raising, INTERNET addiction, SUPPORT vector machines

Emergency medical supplies scheduling during public health emergencies: algorithm design based on AI techniques.

Autoren: Xia, Huosong Sun, Zelin Wang, Yuan et al.

Quelle: International Journal of Production Research; Jan2025, Vol. 63 Issue 2, p628-650, 23p

Schlagwörter: ARTIFICIAL intelligence, MEDICAL supplies, ANT algorithms, EVOLUTIONARY algorithms, REINFORCEMENT learning

Synchronous Acquisition and Processing of Electro- and Phono-Cardiogram Signals for Accurate Systolic Times' Measurement in Heart Disease Diagnosis and Monitoring.

Autoren: De Fazio, Roberto Cascella, Ilaria Yalçınkaya, Şule Esma et al.

Quelle: Sensors (14248220); Jul2025, Vol. 25 Issue 13, p4220, 36p

Schlagwörter: HEART disease diagnosis, ELECTROCARDIOGRAPHY, FEATURE extraction, HEART sounds, CARDIAC contraction, SCIENTIFIC observation, CARDIOVASCULAR diseases, SIGNAL processing

Natural language processing in veterinary pathology: A review.

Autoren: Stimmer, Lev Kuiper, Raoul V. Polledo, Laura et al.

Quelle: Veterinary Pathology. Nov2025, Vol. 62 Issue 6, p829-848. 20p.

Fortifying the future of connectivity: cutting-edge Resi-PAN model for advanced intrusion detection and classification in 6G networks.

Autoren: Soma, V. Bharath Kumar Reddy Ummadisetty, Sreenivasulu Potluri, Ramesh et al.

Quelle: Cluster Computing; Nov2025, Vol. 28 Issue 13, p1-21, 21p

Schlagwörter: 6G networks, INTRUSION detection systems (Computer security), MATHEMATICAL optimization, TELECOMMUNICATION, INTERNET security, COMPUTER network security

Towards a Smart and Transparent Road-Based Vehicle Speed Detection System in Tanzanian Highways: A Review of Methods, Technologies, and Systems.

Autoren: Njuu, Kevin T. Runyoro, Angela-Aida K. Dida, Mussa A.

Quelle: Future Transportation; Jun2025, Vol. 5 Issue 2, p45, 37p

Schlagwörter: DETECTION algorithms, TECHNOLOGICAL innovations, ARTIFICIAL intelligence, COMPUTER systems, INTERNET of things

Optimal drone deployment for cost‐effective and sustainable last‐mile delivery operations.

Autoren: Kumar, Gaurav Tanvir, Oqais Kumar, Akhilesh et al.

Quelle: International Transactions in Operational Research; Nov2025, Vol. 32 Issue 6, p3259-3295, 37p

Schlagwörter: TRAVEL time (Traffic engineering), DRONE aircraft delivery, MATHEMATICAL optimization, INTEGER programming, CONSUMERS