Results 151 to 160 of about 585 (260)

Ensemble‐based soil liquefaction assessment: Leveraging CPT data for enhanced predictions

Civil Engineering Design, Volume 7, Issue 1, Page 23-35, March 2025.
Abstract This study focuses on predicting soil liquefaction, a critical phenomenon that can significantly impact the stability and safety of structures during seismic events. Accurate liquefaction assessment is vital for geotechnical engineering, as it informs the design and mitigation strategies needed to safeguard infrastructure and reduce the risk ...
Arsham Moayedi Far, Masoud Zare
wiley   +1 more source

Large Language Model-Powered Protected Interface Evasion: Automated Discovery of Broken Access Control Vulnerabilities in Internet of Things Devices. [PDF]

Sensors (Basel)
Wang E, Xie W, Li S, Liu R, Zhou Y, Wang Z, Ma S, Yang W, Wang B.   +8 more
europepmc   +1 more source

A hidden Markov model and reinforcement learning‐based strategy for fault‐tolerant control

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract This study introduces a data‐driven control strategy integrating hidden Markov models (HMM) and reinforcement learning (RL) to achieve resilient, fault‐tolerant operation against persistent disturbances in nonlinear chemical processes. Called hidden Markov model and reinforcement learning (HMMRL), this strategy is evaluated in two case studies
Tamera Leitao, Debaprasad Dutta, Simant R. Upreti   +2 more
wiley   +1 more source

Tool report: EvoMaster-black and white box search-based fuzzing for REST, GraphQL and RPC APIs. [PDF]

Autom Softw Eng
Arcuri A, Zhang M, Seran S, Galeotti JP, Golmohammadi A, Duman O, Aldasoro A, Ghianni H.   +7 more
europepmc   +1 more source

Artificial intelligence in enzyme catalysis: Emerging trends and applications in biocatalyst engineering

The Canadian Journal of Chemical Engineering, EarlyView.
Schematic representation of artificial intelligence approaches in enzyme catalysis, integrating bibliometric analysis, emerging research trends, and machine learning tools for enzyme design, prediction, and industrial biocatalytic applications. Abstract This study systematically explores the applications of artificial intelligence (AI) in enzyme ...
Misael Bessa Sales, Francisco Izaias da Silva Aires, Paulo Gonçalves de Sousa Junior, Calebe Da Rocha Silva, Emanuel Lino Rodrigues, Maria Cristiane Martins de Souza, José C. S. dos Santos   +6 more
wiley   +1 more source

Self-adaptive fuzzing optimization method based on distribution divergence

网络与信息安全学报
To improve the performance of coverage-guided fuzzing, a method for self-adaptive optimization of fuzzing using distribution divergence and a deep reinforcement learning model was proposed.
XU Hang, JI Jiangan, MA Zheyu, ZHANG Chao   +3 more
doaj  

On the (in)efficiency of fuzzing network protocols. [PDF]

Ann Telecommun
Andarzian SB, Daniele C, Poll E.
europepmc   +1 more source

Box–Behnken optimization and ANN‐ANFIS integrated modelling for transesterification using thermally activated basic oxygen furnace slag catalyst

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Global energy demand and environmental concerns have intensified the search for renewable and sustainable energy sources. This study thus, focuses on optimizing the transesterification process of waste cooking oil (WCO) using thermally activated basic oxygen furnace slag catalyst calcined at 850°C (BOF 850). The optimization and modelling were
Johra S. Ali, Hillary L. Rutto
wiley   +1 more source

Defining Reconciliation Studies: Theoretical and Practical Dimensions

Conflict Resolution Quarterly, EarlyView.
ABSTRACT Reconciliation studies (RS) has become increasingly influential in understanding alternative views to ending conflict and dealing with the aftermath. As a discipline or field, however, it is not well defined. The actual usefulness of reconciliation (as a concept), or of RS (as a discipline), is debated, and due to its growing usage, it is ...
Colleen Alena O’Brien
wiley   +1 more source

Attention integrated deep learning models for interpretable multi-class IoT intrusion detection using SHAP. [PDF]

Front Artif Intell
Raman R, Kumar R, Edwin Raj B, Akre V.
europepmc   +1 more source