Results 101 to 110 of about 2,361 (188)

A multi‐source fusion and dynamic verification framework for scientific knowledge graph construction: Methods, evaluation, and applications

AI Magazine, Volume 47, Issue 2, Summer 2026.
Abstract The exponential growth of scientific literature—over 2.5 million papers and 3.5 million patents annually—poses critical challenges for knowledge discovery. To address these, we propose SCIMKG (Scientific Knowledge Graph), a framework for constructing scientific knowledge graphs via multi‐source heterogeneous multi‐source.
Erxi Zhu, Yuan Hu
wiley   +1 more source

Artificial Intelligence in the Food Industry: Transforming Safety, Efficiency, and Sustainability From Farm to Fork

eFood, Volume 7, Issue 3, June 2026.
This review synthesizes AI advancements in food systems, leveraging machine learning, computer vision, robotics, and IoT for 96%–100% accurate quality inspection, 30% reduced downtime, and enhanced traceability from farm to fork. It highlights transformative potential in sustainability and SDGs while addressing data, ethical, and scalability challenges
Muhammad Waqar, Mariyam Shahid, Manat Chaijan, Worawan Panpipat, Djilali Benabdelmoumene, Ahmed Mediani, Abdifetah Ibrahim Omar, Sabrin R. M. Ibrahim, Qudrat Ullah, Temesgen Anjulo Ageru   +9 more
wiley   +1 more source

Dynamic Search‐Based Cluster Head Selection Method for Resource Occupation Protection Switching in Optical Fiber Communication Networks

Engineering Reports, Volume 8, Issue 6, June 2026.
This paper proposes a dynamic search cluster head selection method for resource occupancy protection switching. By integrating multidimensional fitness functions, energy consumption models, and closed‐loop control mechanisms, and combining optimized dynamic search strategies, the optimal cluster head is selected.
Lei Peng, Yaya Wu, Jing Yuan, Haofeng Yuan, Junbo Li, Chenfeng Qi, Yahan Zhang   +6 more
wiley   +1 more source

Decision Threshold Setting in Binary Classification Problems—A Behavioral Lens

Journal of Operations Management, Volume 72, Issue 4, Page 536-555, June 2026.
ABSTRACT When binary classification models are wrong, managers face misclassification costs. Although false positive outcomes imply unnecessary mitigation efforts, false negative outcomes imply overlooking the class of interest. Humans calibrate these ai models supporting operational systems by adjusting the decision threshold that translates ...
Patrick Moder, Kai Hoberg, Felix Papier
wiley   +1 more source

The power-series algorithm applied to the shortest-queue model

Queueing Theory;operations ...
Blanc, J.P.C.
core  

Optimizing Cardiac Inpatient Flow and Resource Allocation in Low‐Resource Settings Using Queuing Theory: Insights From a Tertiary Hospital in Bangladesh

Public Health Challenges, Volume 5, Issue 2, June 2026.
This study applies queuing theory models (M/M/c/c and M/M/c/K) to optimize inpatient flow and resource allocation in the cardiology department of Sylhet MAG Osmani Medical College Hospital, Bangladesh. Using data from 6,277 patients in 2023, it identifies bottlenecks in CCU and PCCU, highlights bed shortages and overcrowding, and proposes reallocating ...
Md. Borhan Uddin, Khalidur Rahman, Md. Asaduzzaman, Sabbir Tahmidur Rahman, Md. Sabbir Hossain, Md. Shihab Mostafa   +5 more
wiley   +1 more source

Perspectives On Machine Learning Inference Serving in Real‐World Settings

Software: Practice and Experience, Volume 56, Issue 6, Page 734-757, June 2026.
ABSTRACT Introduction As machine learning (ML)‐enabled systems become increasingly prevalent across industries, the engineering challenges of deploying and maintaining them in production have emerged as critical. The existing engineering knowledge base often derives from conceptual frameworks or case studies conducted by large technology companies ...
Dennis Muiruri, Lucy Ellen Lwakatare, Jukka K. Nurminen, Tommi Mikkonen   +3 more
wiley   +1 more source

Artificial Intelligence, Optimization, and Modeling Techniques in Water Resources Management: Challenges and Future Directions

Water Environment Research, Volume 98, Issue 6, June 2026.
This study presents an integrated framework linking six foundational elements of water resources management: watershed modeling, surrogate modeling, optimization, artificial intelligence, decision support systems, and monitoring. The synthesis highlights how connecting these traditionally separate domains fosters smarter, adaptive, and data‐driven ...
Hoda S. Razavi, A. Pouyan Nejadhashemi, Kalyanmoy Deb, Gregorio Toscano, Timothy Harrigan, Lewis Linker   +5 more
wiley   +1 more source

Queue lengths and waiting times in the two-class two-server queue with nonpreemptive heterogeneous priority structures. [PDF]

Our aim is to analyze a multiserver queue with nonpreemptive heterogeneous priority structures, which arises in the performance evaluation of batch initiator settings n MVS.
Leemans, Herlinde, Dedene, Guido
core  

Advancing Heliophysics and Space Weather Modeling Through Open Science

Space Weather, Volume 24, Issue 6, June 2026.
Abstract We present a community‐wide effort to develop a strategy and action plan to advance heliophysics and space weather modeling through open science. While open science has the potential to enhance the quality and pace of scientific discovery, its application to scientific modeling requires more careful consideration regarding open data and open ...
C. Corti, M. M. Kuznetsova, M. A. Reiss, J. Yue, J. Karpen, C. N. Arge, F. Bacchini, C. Bard, S. Bruinsma, R. M. Caplan, L. K. S. Daldorff, P. J. Deka, C. R. DeVore, S. Elvidge, N. Ganushkina, J. D. Huba, B. V. Jackson, V. Jordanova, J. A. Linker, H. Liu, J. G. Luhmann, S. Markidis, P. Mayank, V. Merkin, N. Moens, D. Odstrcil, Y. A. Omelchenko, M. Palmroth, S. Poedts, A. J. Ridley, Y. Shou, V. Tenishev, D. R. Themens, G. Toth, W. Wang, R.‐P. Wilhelm, M. A. Young, B. Cecconi, M.‐Y. Chou, D. De Zeeuw, G. L. Delzanno, C. Didigu, M. El Alaoui, S. Fung, J. Green, Z. Huang, L. K. Jian, L. J. Landwer, M. Lesko, P. MacNeice, A. Masson, M. L. Mays, P. M. Mehta, M. S. Miesch, E. Palmerio, M. Petrenko, E. Provornikova, L. Rastätter, L. Rusaitis, N. Sachdeva, E. Samara, D. Sur, A. Taktakishvili, J. Topper, T. Tsui, C. Verbeke, J. Wang, C. Wiegand, M. Wiltberger, Y. Zheng, M. M. Bisi, M. K. Georgoulis, T. Kodikara, T. Pulkkinen, A. Chartier, D. da Silva, A. Faturahman, K. Garcia‐Sage, D. Kondrashov, V. E. Ledvina, W. Liu, C. Pandey, E. Resnick, C. Shi, R. S. Weigel, K. Whitman, I. Zakharenkova, K. Zhang   +87 more
wiley   +1 more source