Results 161 to 170 of about 13,265,536 (249)

Brain-inspired cognitive state modeling of complex English discourse reading: an LLM-parameterized hierarchical semi-Markov approach. [PDF]

Front Neurorobot
Xie B, Hu Y, Zhao L.
europepmc   +1 more source

From Resilience to “Susilience”: Toward Further Theoretical Perspectives in Sustainable Supply Chains

Sustainable Development, EarlyView.
ABSTRACT The increasing exposure of global supply chains to environmental, social, and operational disruptions has intensified scholarly interest in sustainability and resilience. While these concepts are widely discussed, existing research often addresses them separately, preventing understanding of their combined role in supply chain management.
Mahmut Mollaoglu, Bükra Doganer
wiley   +1 more source

Physics-constrained multimodal reinforcement learning for local UAV Navigation in complex static obstacle environments. [PDF]

Sci Rep
Tian Y, Chen Y, Deng Z, Yang H, Wen X, Jiang T, Wu Y.   +6 more
europepmc   +1 more source

Sustainable Production Planning: Insights Into Factors, Models, and Solution Methods

Sustainable Development, EarlyView.
ABSTRACT Effective resource management remains a major challenge for organizations seeking to balance economic efficiency with environmental and social responsibility. In this context, production planning becomes a strategic mechanism for integrating sustainability into industrial operations.
Daysi Ortiz, Pedro Gómez‐Gasquet, Francisco Fraile   +2 more
wiley   +1 more source

From mechanistic models to artificial intelligence: exploring the potential of digital twins in geriatric oncology. [PDF]

Front Artif Intell
Karampelesis P, Denazis S, Koufopavlou O, Zacharaki EI.   +3 more
europepmc   +1 more source

Network Latency Estimation for Telesurgery Using Deep Reinforcement Learning

SmartBot, EarlyView.
Overview of the proposed two‐stage deep reinforcement learning framework for network latency prediction in telesurgery. The pipeline includes data collection from simulated catheter navigation sessions (Philippines–Botswana), feature engineering, DQN‐based direction prediction (85.8% accuracy), direction‐to‐value transformation, and value forecasting ...
Bakang Kgopolo, Rodrigo S. Jamisola Jr., Molaletsa Namoshe   +2 more
wiley   +1 more source

Causal Structure Learning Assumptions Shape Counterfactual Safety: Expert-Guided Constraints vs. Data-Driven DAGs with Probabilistic Logic Twin Networks. [PDF]

Entropy (Basel)
Avilés H, Gracia I, Kiesel R, Rodríguez V, Machucho R, Reyes A, Negrete M, Ramírez G, Luévano N, Pequeño M, Medrano J, Weitkämper F.   +11 more
europepmc   +1 more source

Artificial intelligence empowers targeted protein degradation: Core technological innovations, multi‐scenario applications, and translational prospects

Smart Molecules, EarlyView.
AI is transforming TPD by improving the design, prediction, and optimization of degraders such as PROTACs, molecular glues, and LYTACs. This review summarizes key AI‐driven advances, highlights applications across drug discovery stages, and discusses remaining challenges and future directions for accelerating the development of therapies against ...
Shuanglin Qin, Rui Peng, Guangshuai Zhang, Si Yan, Jin Xiao, Zishu Liu, Ziyu Tan, Qingqing Xie, Shangjie Li, Wei Luo, Xiaohe Xiao   +10 more
wiley   +1 more source

Multi-Component Joint Maintenance Decision for Electro-Hydraulic Servo Fatigue Testing Machine Based on Multi-Head Deep Reinforcement Learning. [PDF]

Sensors (Basel)
Liu P, Huang G, Xi J, Wu J.
europepmc   +1 more source

DQN‐Guided Subset‐Induced OCSVM Kernel Approximation for Imbalanced Anomaly Detection

IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
Anomaly detection under limited normal data remains a fundamental challenge due to severe class imbalance and scarcity of anomalies. We propose a novel framework that reformulates support vector selection in One‐Class SVM as a sequential decision‐making problem.
Wenqian Yu, Jiaying Wu, Jinglu Hu
wiley   +1 more source