Results 161 to 170 of about 1,831,408 (276)

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

A hybrid framework of hesitant fuzzy soft sets and rough sets for uncertainty modelling. [PDF]

Sci Rep
Jahanvi, Nishad DK, Singh R, Khalid S.
europepmc   +1 more source

Denoise Stepwise Signals by Diffusion Model‐Based Approach

Small Methods, EarlyView.
This work presents SSDM, a diffusion‐model‐based framework for denoising stepwise signals in single‐molecule measurements. By learning the statistical structure of state transitions and noise, SSDM reconstructs signal levels and identifies transition time points more accurately than conventional approaches, enabling robust analysis of signals across ...
Xingdi Tong, Chenyu Wen
wiley   +1 more source

Dynamic Bayesian network-based risk assessment for gas treatment station. [PDF]

Sci Rep
Zerrouki H, Mekatel S, Alkhaleel BA, Yadav A, Pandey S, Kumar H.   +5 more
europepmc   +1 more source

Fuzzy Fault Tree Analysis and Its Applications

Journal of Japan Society for Fuzzy Theory and Systems, 1993
Yasuhiro TSUJIMURA, Mitsuo GEN, ChangEun KIM   +2 more
openaire   +2 more sources

A Novel Approach to Energy Management in Electric Steelworks

steel research international, EarlyView.
Feed‐forward neural networks are exploited to estimate electric energy consumptions of the electric arc furnace and ladle furnace processes. The models are used to optimize production schedule so that more energy intensive grades are produced when the cost of energy is lower.
Valentina Colla, Stefano Dettori, Silvia Cateni, Marco Vannucci, Antonella Vignali, Claudio Mocci, Irene Dovichi, Davide Chionna, Lorenzo Vannini, Enrico Paluzzano, Costanzo Pietrosanti, Davide Onesti, Daniele Venier   +12 more
wiley   +1 more source

Explainable Machine Learning for Predicting Time‐to‐Failure of Horizontal Pressurized Storage Tanks in Fire Scenarios

Safety Science and Technology, EarlyView.
An interpretable machine learning framework with SHAP analysis achieves accurate time‐to‐failure prediction for horizontal pressurized tanks under pool fires while identifying fire intensity, filling level, and wall thickness as dominant drivers of model explanation and uncertainty explanation, providing transparent and actionable insights for ...
Yubin Mu, Mingshu Bi, Zilong Deng, Di Yu, Jingjing Yang, Jingjie Ren   +5 more
wiley   +1 more source

Research on digital twin diagnosis model for the thermal-electric field of high-voltage switchgears. [PDF]

Sci Rep
Ding F, Ma Y, Li X, Huang J, Kang J.
europepmc   +1 more source

Toward Enhanced Safety Management in Wave Energy Power Plant Construction Projects: FMEA and HAZOP Combination

Safety Science and Technology, EarlyView.
Consolidated FMEA–HAZOP safety management framework for WEC construction projects. ABSTRACT This study presents an advanced safety management framework for “Wave Energy Converter” (WEC) projects, addressing the inherent uncertainty, technological complexity, and environmental exposure of offshore renewable energy systems.
Panagiotis K. Marhavilas, Konstantinos Douitsis, Nick Delianidis, Stefanos Keskinis, Georgios Charalampos Kafoutis   +4 more
wiley   +1 more source

Multi-level screening method for network security alarms based on DBSCAN algorithm and rete rule inference. [PDF]

Sci Rep
Ni L, Zhang S, Huang K, Wang Y.
europepmc   +1 more source