Robotics and Computer-Integrated Manufacturing, Год журнала: 2024, Номер 93, С. 102917 - 102917
Опубликована: Ноя. 30, 2024
Язык: Английский
Robotics and Computer-Integrated Manufacturing, Год журнала: 2024, Номер 93, С. 102917 - 102917
Опубликована: Ноя. 30, 2024
Язык: Английский
Опубликована: Янв. 1, 2025
Cloud computing faces significant challenges in task management, particularly balancing server loads to avoid overloads or underloads while satisfying diverse quality requirements. The need manage multiple criteria adds further complexity this problem. Conversely, the heterogeneity of cloud resources often complicates management. To address this, paper proposes a hybrid model that integrates decision tree approach with Grey Wolf Optimization (GWO) algorithm for managing independent tasks. aims optimize makespan, reduce total cost, enhance resource utilization, and maintain load balance. In proposed model, tasks are first classified using tree, after which GWO processes selected efficient allocation. Simulations conducted CloudSim tool, assuming heterogeneous environment experiments consider various input scenarios, ranging from 200 3200 Compared standalone algorithm, DT-GWO achieves improvements at least 18.5% 3.4% average 12.7% all maintaining
Язык: Английский
Процитировано
0iScience, Год журнала: 2025, Номер 28(4), С. 112077 - 112077
Опубликована: Март 6, 2025
Antifreeze proteins (AFPs) are crucial for organisms to adapt low temperatures, with applications in medicine, food storage, aquaculture, and agriculture. Accurate AFP identification is challenging due structural sequence diversity. To improve prediction classification, we propose BERT-DomainAFP, a deep learning model trained on the AntiFreezeDomains dataset created novel annotation strategy. The uses pre-trained ProteinBERT incorporates oversampling undersampling techniques handle unbalanced data, ensuring high predictive ability. BERT-DomainAFP achieves 98.48% accuracy, highest among existing models, can classify different types based domain features. This outperforms current tools, offering promising solution recognition classification research applications.
Язык: Английский
Процитировано
0Sustainable Computing Informatics and Systems, Год журнала: 2025, Номер 47, С. 101138 - 101138
Опубликована: Май 20, 2025
Язык: Английский
Процитировано
0Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
0Robotics and Computer-Integrated Manufacturing, Год журнала: 2024, Номер 93, С. 102917 - 102917
Опубликована: Ноя. 30, 2024
Язык: Английский
Процитировано
0